data
dict |
|---|
{
"proceeding": {
"id": "1uGXcydptWU",
"title": "2021 IEEE 37th International Conference on Data Engineering (ICDE)",
"acronym": "icde",
"groupId": "1000178",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1uGXpqMZXag",
"doi": "10.1109/ICDE51399.2021.00149",
"title": "Fast Similarity Computation for t-SNE",
"normalizedTitle": "Fast Similarity Computation for t-SNE",
"abstract": "Data visualization has become a fundamental process of data engineering. t-SNE is one of the most popular data visualization approaches. However, its computation cost is quadratic to the number of data points because it needs to compute similarities for all pairs of data points. One practical way of using t-SNE is random walk-based t-SNE. This approach visualizes user-specified landmark points from the similarities between them based on random walks in a neighborhood graph of data points. It offers two approaches to computing similarities: the direct and analytical approaches. The direct approach approximately computes similarities by explicitly computing random walks in the graph. Unfortunately, it needs to perform numerous random walks for adequate computation accuracy. The analytical approach performs Cholesky factorization on the graph Laplacian and computes exact similarities using the decomposed graph Laplacian. This, however, incurs high computation cost in performing Cholesky factorization. Our proposal, F-tSNE, reduces the computation cost of random walk-based t-SNE by computing the LDL decomposition for the graph Laplacian based on two ideas: (1) reducing non-zero elements in the LDL decomposition by using a reordering matrix and (2) exploiting the sparse structure of the graph when computing the similarities. Theoretically, our approach is guaranteed to yield exact similarities. Experiments show that it is up to 88.4 times faster than the existing alternatives.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Data visualization has become a fundamental process of data engineering. t-SNE is one of the most popular data visualization approaches. However, its computation cost is quadratic to the number of data points because it needs to compute similarities for all pairs of data points. One practical way of using t-SNE is random walk-based t-SNE. This approach visualizes user-specified landmark points from the similarities between them based on random walks in a neighborhood graph of data points. It offers two approaches to computing similarities: the direct and analytical approaches. The direct approach approximately computes similarities by explicitly computing random walks in the graph. Unfortunately, it needs to perform numerous random walks for adequate computation accuracy. The analytical approach performs Cholesky factorization on the graph Laplacian and computes exact similarities using the decomposed graph Laplacian. This, however, incurs high computation cost in performing Cholesky factorization. Our proposal, F-tSNE, reduces the computation cost of random walk-based t-SNE by computing the LDL decomposition for the graph Laplacian based on two ideas: (1) reducing non-zero elements in the LDL decomposition by using a reordering matrix and (2) exploiting the sparse structure of the graph when computing the similarities. Theoretically, our approach is guaranteed to yield exact similarities. Experiments show that it is up to 88.4 times faster than the existing alternatives.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Data visualization has become a fundamental process of data engineering. t-SNE is one of the most popular data visualization approaches. However, its computation cost is quadratic to the number of data points because it needs to compute similarities for all pairs of data points. One practical way of using t-SNE is random walk-based t-SNE. This approach visualizes user-specified landmark points from the similarities between them based on random walks in a neighborhood graph of data points. It offers two approaches to computing similarities: the direct and analytical approaches. The direct approach approximately computes similarities by explicitly computing random walks in the graph. Unfortunately, it needs to perform numerous random walks for adequate computation accuracy. The analytical approach performs Cholesky factorization on the graph Laplacian and computes exact similarities using the decomposed graph Laplacian. This, however, incurs high computation cost in performing Cholesky factorization. Our proposal, F-tSNE, reduces the computation cost of random walk-based t-SNE by computing the LDL decomposition for the graph Laplacian based on two ideas: (1) reducing non-zero elements in the LDL decomposition by using a reordering matrix and (2) exploiting the sparse structure of the graph when computing the similarities. Theoretically, our approach is guaranteed to yield exact similarities. Experiments show that it is up to 88.4 times faster than the existing alternatives.",
"fno": "918400b691",
"keywords": [
"Data Visualisation",
"Graph Theory",
"Mathematics Computing",
"Matrix Algebra",
"Matrix Decomposition",
"Random Processes",
"Sparse Matrices",
"Numerous Random Walks",
"Adequate Computation Accuracy",
"Analytical Approach",
"Cholesky Factorization",
"Computes Exact Similarities",
"Decomposed Graph Laplacian",
"High Computation Cost",
"Random Walk Based T SNE",
"Fast Similarity Computation",
"Data Engineering",
"Popular Data Visualization Approaches",
"Data Points",
"User Specified Landmark Points",
"Neighborhood Graph",
"Computing Similarities",
"Direct Approaches",
"Analytical Approaches",
"Laplace Equations",
"Conferences",
"Memory Management",
"Data Visualization",
"Data Engineering",
"Computational Efficiency",
"Sparse Matrices",
"T SNE",
"Random Walk",
"Efficient",
"Algorithm"
],
"authors": [
{
"affiliation": "NTT Communication Science Laboratories",
"fullName": "Yasuhiro Fujiwara",
"givenName": "Yasuhiro",
"surname": "Fujiwara",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "NTT Software Innovation Center",
"fullName": "Yasutoshi Ida",
"givenName": "Yasutoshi",
"surname": "Ida",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "NTT Software Innovation Center",
"fullName": "Sekitoshi Kanai",
"givenName": "Sekitoshi",
"surname": "Kanai",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "NTT Software Innovation Center",
"fullName": "Atsutoshi Kumagai",
"givenName": "Atsutoshi",
"surname": "Kumagai",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "NTT Communication Science Laboratories",
"fullName": "Naonori Ueda",
"givenName": "Naonori",
"surname": "Ueda",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icde",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-04-01T00:00:00",
"pubType": "proceedings",
"pages": "1691-1702",
"year": "2021",
"issn": null,
"isbn": "978-1-7281-9184-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "918400b679",
"articleId": "1uGXN5nggb6",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "918400b703",
"articleId": "1uGXjOb1PLG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/focs/2016/3933/0/3933a573",
"title": "Approximate Gaussian Elimination for Laplacians - Fast, Sparse, and Simple",
"doi": null,
"abstractUrl": "/proceedings-article/focs/2016/3933a573/12OmNx6xHsR",
"parentPublication": {
"id": "proceedings/focs/2016/3933/0",
"title": "2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2017/09/07876761",
"title": "Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight",
"doi": null,
"abstractUrl": "/journal/tk/2017/09/07876761/13rRUwIF69L",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/focs/2018/4230/0/423000a361",
"title": "Graph Sparsification, Spectral Sketches, and Faster Resistance Computation, via Short Cycle Decompositions",
"doi": null,
"abstractUrl": "/proceedings-article/focs/2018/423000a361/17D45Wuc38A",
"parentPublication": {
"id": "proceedings/focs/2018/4230/0",
"title": "2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/focs/2018/4230/0/423000a898",
"title": "Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations",
"doi": null,
"abstractUrl": "/proceedings-article/focs/2018/423000a898/17D45X0yjT2",
"parentPublication": {
"id": "proceedings/focs/2018/4230/0",
"title": "2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sbac-pad/2018/7769/0/08645912",
"title": "T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data",
"doi": null,
"abstractUrl": "/proceedings-article/sbac-pad/2018/08645912/17QjJeZi1UO",
"parentPublication": {
"id": "proceedings/sbac-pad/2018/7769/0",
"title": "2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2022/8045/0/10021047",
"title": "Fast Binary Network Hashing via Graph Clustering",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2022/10021047/1KfSMerVGxO",
"parentPublication": {
"id": "proceedings/big-data/2022/8045/0",
"title": "2022 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08811606",
"title": "GPGPU Linear Complexity t-SNE Optimization",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08811606/1cJj4SRFHeE",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/08/09064929",
"title": "t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections",
"doi": null,
"abstractUrl": "/journal/tg/2020/08/09064929/1iZGzFjpwPu",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2022/06/09170841",
"title": "Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning",
"doi": null,
"abstractUrl": "/journal/tk/2022/06/09170841/1motfIInmZq",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552433",
"title": "Joint <italic>t</italic>-SNE for Comparable Projections of Multiple High-Dimensional Datasets",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552433/1xic8QCTZRe",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1x3kek8UTe0",
"title": "2020 7th International Conference on Information Science and Control Engineering (ICISCE)",
"acronym": "icisce",
"groupId": "1807704",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1x3kI5MLOCs",
"doi": "10.1109/ICISCE50968.2020.00445",
"title": "Wind Turbine Rolling Bearing Fault Diagnosis Using t-SNE and GWO-SVM",
"normalizedTitle": "Wind Turbine Rolling Bearing Fault Diagnosis Using t-SNE and GWO-SVM",
"abstract": "Fault diagnosis of the key component (i. e., bearings) can ensure the normal operation of the wind turbine and reduce the economic loss. In this paper, aiming at the difficulty in bearing feature extraction, a novel fault diagnosis model using refined composite multiscale sample entropy (RCMSE), t-distributed stochastic neighbor embedding (t-SNE), and grey wolf optimization-based support vector machine (GWO-SVM) is proposed. Firstly, RCMSE is introduced to extract the features of bearing signals in different states, and a high-dimensional feature set can be obtained. Then, t-SNE manifold learning is applied to extract the sensitive and low-dimensional feature set. Finally, the RCMSE+t-SNE set is input to the GWO-SVM classifier for classification. The proposed method is applied to analyze the experimental signals of wind turbine bearings, while the results show that it can effectively and accurately identify various bearing faults. Moreover, compared with other methods, the proposed method has higher recognition accuracy.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Fault diagnosis of the key component (i. e., bearings) can ensure the normal operation of the wind turbine and reduce the economic loss. In this paper, aiming at the difficulty in bearing feature extraction, a novel fault diagnosis model using refined composite multiscale sample entropy (RCMSE), t-distributed stochastic neighbor embedding (t-SNE), and grey wolf optimization-based support vector machine (GWO-SVM) is proposed. Firstly, RCMSE is introduced to extract the features of bearing signals in different states, and a high-dimensional feature set can be obtained. Then, t-SNE manifold learning is applied to extract the sensitive and low-dimensional feature set. Finally, the RCMSE+t-SNE set is input to the GWO-SVM classifier for classification. The proposed method is applied to analyze the experimental signals of wind turbine bearings, while the results show that it can effectively and accurately identify various bearing faults. Moreover, compared with other methods, the proposed method has higher recognition accuracy.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Fault diagnosis of the key component (i. e., bearings) can ensure the normal operation of the wind turbine and reduce the economic loss. In this paper, aiming at the difficulty in bearing feature extraction, a novel fault diagnosis model using refined composite multiscale sample entropy (RCMSE), t-distributed stochastic neighbor embedding (t-SNE), and grey wolf optimization-based support vector machine (GWO-SVM) is proposed. Firstly, RCMSE is introduced to extract the features of bearing signals in different states, and a high-dimensional feature set can be obtained. Then, t-SNE manifold learning is applied to extract the sensitive and low-dimensional feature set. Finally, the RCMSE+t-SNE set is input to the GWO-SVM classifier for classification. The proposed method is applied to analyze the experimental signals of wind turbine bearings, while the results show that it can effectively and accurately identify various bearing faults. Moreover, compared with other methods, the proposed method has higher recognition accuracy.",
"fno": "640600c274",
"keywords": [
"Entropy",
"Fault Diagnosis",
"Feature Extraction",
"Learning Artificial Intelligence",
"Mechanical Engineering Computing",
"Optimisation",
"Rolling Bearings",
"Signal Classification",
"Stochastic Processes",
"Support Vector Machines",
"Wind Turbines",
"Wind Turbine Rolling Bearing Fault Diagnosis",
"Economic Loss",
"Feature Extraction",
"T Distributed Stochastic Neighbor Embedding",
"Grey Wolf Optimization Based Support Vector Machine",
"Bearing Signals",
"High Dimensional Feature Set",
"T SNE Manifold Learning",
"Sensitive Feature Set",
"Low Dimensional Feature Set",
"RCMSE T SNE Set",
"GWO SVM Classifier",
"Refined Composite Multiscale Sample Entropy",
"Classification",
"Fault Diagnosis",
"Support Vector Machines",
"Economics",
"Information Science",
"Stochastic Processes",
"Rolling Bearings",
"Feature Extraction",
"Grey Wolf Optimization Based Support Vector Machine",
"T Distributed Stochastic Neighbor Embedding",
"Refined Composite Multiscale Sample Entropy",
"Rolling Bearing",
"Fault Diagnosis"
],
"authors": [
{
"affiliation": "Fuzhou University,School of Mechanical Engineering and Automation,Fuzhou,China",
"fullName": "Zhenya Wang",
"givenName": "Zhenya",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Fuzhou University,School of Mechanical Engineering and Automation,Fuzhou,China",
"fullName": "Ligang Yao",
"givenName": "Ligang",
"surname": "Yao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Fuzhou University,School of Mechanical Engineering and Automation,Fuzhou,China",
"fullName": "Jiaxin Ding",
"givenName": "Jiaxin",
"surname": "Ding",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Fuzhou University,School of Mechanical Engineering and Automation,Fuzhou,China",
"fullName": "Jun Zhang",
"givenName": "Jun",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icisce",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-12-01T00:00:00",
"pubType": "proceedings",
"pages": "2274-2279",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-6406-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "640600c270",
"articleId": "1x3l3ke56Tu",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "640600c280",
"articleId": "1x3kpHGChmo",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/hpcc-dss-smartcity-dependsys/2021/9457/0/945700b596",
"title": "Fault Diagnosis of Rolling Bearing Using Multiscale Fusion Convolutional Neural Network",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity-dependsys/2021/945700b596/1DNCv4Bs6SA",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity-dependsys/2021/9457/0",
"title": "2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icceai/2022/6803/0/680300a119",
"title": "Application of Cointegration Theory on Degradation Feature Extraction of Rolling Bearing",
"doi": null,
"abstractUrl": "/proceedings-article/icceai/2022/680300a119/1FUVF6YIE8g",
"parentPublication": {
"id": "proceedings/icceai/2022/6803/0",
"title": "2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ictech/2022/9694/0/969400a214",
"title": "Research on Fault Diagnosis Method of Rolling Bearing Based on Improved Convolutional Neural Network",
"doi": null,
"abstractUrl": "/proceedings-article/ictech/2022/969400a214/1FWmpEVlylW",
"parentPublication": {
"id": "proceedings/ictech/2022/9694/0",
"title": "2022 11th International Conference of Information and Communication Technology (ICTech)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ictech/2022/9694/0/969400a240",
"title": "A Fault Diagnosis Method of Rolling Bearing of CNC Machine Tool Based on Improved Convolutional Neural Network",
"doi": null,
"abstractUrl": "/proceedings-article/ictech/2022/969400a240/1FWmrU9Ss80",
"parentPublication": {
"id": "proceedings/ictech/2022/9694/0",
"title": "2022 11th International Conference of Information and Communication Technology (ICTech)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmiae/2022/7396/0/739600a024",
"title": "Study on Mixed Lubrication Property of Planetary Gear Journal Bearing in Wind Turbine Gearbox",
"doi": null,
"abstractUrl": "/proceedings-article/icmiae/2022/739600a024/1JgrPD9tEys",
"parentPublication": {
"id": "proceedings/icmiae/2022/7396/0",
"title": "2022 International Conference on Manufacturing, Industrial Automation and Electronics (ICMIAE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aiam/2022/6399/0/639900a823",
"title": "Application of TVFEMD-SVD and LSTM in Rolling Bearing Troubleshooting",
"doi": null,
"abstractUrl": "/proceedings-article/aiam/2022/639900a823/1LRlsmyyXpS",
"parentPublication": {
"id": "proceedings/aiam/2022/6399/0",
"title": "2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aiam/2022/6399/0/639900a879",
"title": "Fault Identification of Rolling Bearing Based on Improved EMD-Kurtosis Criterion and DBN",
"doi": null,
"abstractUrl": "/proceedings-article/aiam/2022/639900a879/1LRlxsJIFnq",
"parentPublication": {
"id": "proceedings/aiam/2022/6399/0",
"title": "2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icctec/2017/5784/0/578400b222",
"title": "Application of VMD in Fault Diagnosis for Rolling Bearing under Variable Speed Conditions",
"doi": null,
"abstractUrl": "/proceedings-article/icctec/2017/578400b222/1ckrVXDfd1S",
"parentPublication": {
"id": "proceedings/icctec/2017/5784/0",
"title": "2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isctt/2020/8575/0/857500a402",
"title": "On-line fault diagnosis of rolling bearing based on machine learning algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/isctt/2020/857500a402/1rHeSdSemsg",
"parentPublication": {
"id": "proceedings/isctt/2020/8575/0",
"title": "2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisce/2020/6406/0/640600b892",
"title": "Fault diagnosis of rolling bearing based on MPA-VMD and RCMFE",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2020/640600b892/1x3kTUe6zVS",
"parentPublication": {
"id": "proceedings/icisce/2020/6406/0",
"title": "2020 7th International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNvk7JKB",
"title": "2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things(iThings) and IEEE Cyber, Physical and Social Computing(CPSCom)",
"acronym": "greencom-ithingscpscom",
"groupId": "1800308",
"volume": "0",
"displayVolume": "0",
"year": "2013",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzmclTi",
"doi": "10.1109/GreenCom-iThings-CPSCom.2013.321",
"title": "Facial Expression Recognition Based on t-SNE and AdaboostM2",
"normalizedTitle": "Facial Expression Recognition Based on t-SNE and AdaboostM2",
"abstract": "In recent years, because of the great potential applications in various areas such as human-computer interaction (HCI), safety, surveillance, and animation, facial expression recognition (FER) has become a hot topic in computer vision and pattern recognition. Although much progress has been made on FER and many algorithms have been studied such as PCA for FER, FER remains a challenge work due to the difficulties of dimension reduction and classification. In this paper, we give a novel approach for FER, which uses t-Stochastic Neighbor Embedding (t-SNE) for reducing the high-dimensional data into a relatively low-dimensional subspace and then uses AdaBoostM2 as the multi-classifier for the expression classification. The performance evaluation is based on the Japanese Female Facial Expression (JAFFE) database. Experimental results show that the proposed new algorithm applied to FER gains the better performance compared with those traditional algorithms, such as PCA, LDA, LLE and SNE.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In recent years, because of the great potential applications in various areas such as human-computer interaction (HCI), safety, surveillance, and animation, facial expression recognition (FER) has become a hot topic in computer vision and pattern recognition. Although much progress has been made on FER and many algorithms have been studied such as PCA for FER, FER remains a challenge work due to the difficulties of dimension reduction and classification. In this paper, we give a novel approach for FER, which uses t-Stochastic Neighbor Embedding (t-SNE) for reducing the high-dimensional data into a relatively low-dimensional subspace and then uses AdaBoostM2 as the multi-classifier for the expression classification. The performance evaluation is based on the Japanese Female Facial Expression (JAFFE) database. Experimental results show that the proposed new algorithm applied to FER gains the better performance compared with those traditional algorithms, such as PCA, LDA, LLE and SNE.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In recent years, because of the great potential applications in various areas such as human-computer interaction (HCI), safety, surveillance, and animation, facial expression recognition (FER) has become a hot topic in computer vision and pattern recognition. Although much progress has been made on FER and many algorithms have been studied such as PCA for FER, FER remains a challenge work due to the difficulties of dimension reduction and classification. In this paper, we give a novel approach for FER, which uses t-Stochastic Neighbor Embedding (t-SNE) for reducing the high-dimensional data into a relatively low-dimensional subspace and then uses AdaBoostM2 as the multi-classifier for the expression classification. The performance evaluation is based on the Japanese Female Facial Expression (JAFFE) database. Experimental results show that the proposed new algorithm applied to FER gains the better performance compared with those traditional algorithms, such as PCA, LDA, LLE and SNE.",
"fno": "06682333",
"keywords": [
"Principal Component Analysis",
"Databases",
"Face",
"Face Recognition",
"Testing",
"Boosting",
"Ada Boost M 2",
"Facial Expression Recognition FER",
"Dimension Reduction",
"T SNE"
],
"authors": [
{
"affiliation": "Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China",
"fullName": "Jizheng Yi",
"givenName": null,
"surname": "Jizheng Yi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China",
"fullName": "Xia Mao",
"givenName": null,
"surname": "Xia Mao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China",
"fullName": "Yuli Xue",
"givenName": null,
"surname": "Yuli Xue",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Dept. of Human Sci., Univ. of Bergamo, Bergamo, Italy",
"fullName": "Angelo Compare",
"givenName": "Angelo",
"surname": "Compare",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "greencom-ithingscpscom",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2013-08-01T00:00:00",
"pubType": "proceedings",
"pages": "1744-1749",
"year": "2013",
"issn": null,
"isbn": "978-0-7695-5046-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "06682332",
"articleId": "12OmNzt0IBe",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06682334",
"articleId": "12OmNx5GU6U",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fg/2018/2335/0/233501a294",
"title": "Identity-Adaptive Facial Expression Recognition through Expression Regeneration Using Conditional Generative Adversarial Networks",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2018/233501a294/12OmNAY79f3",
"parentPublication": {
"id": "proceedings/fg/2018/2335/0",
"title": "2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acii/2017/0563/0/08273654",
"title": "CNN based 3D facial expression recognition using masking and landmark features",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2017/08273654/12OmNrAMEJB",
"parentPublication": {
"id": "proceedings/acii/2017/0563/0",
"title": "2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2014/5209/0/5209b734",
"title": "Robust Facial Expression Recognition Using Revised Canonical Correlation",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2014/5209b734/12OmNwLfMC1",
"parentPublication": {
"id": "proceedings/icpr/2014/5209/0",
"title": "2014 22nd International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acii/2015/9953/0/07344635",
"title": "Multi-pose facial expression recognition based on SURF boosting",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2015/07344635/12OmNxWLTpH",
"parentPublication": {
"id": "proceedings/acii/2015/9953/0",
"title": "2015 International Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2011/0063/0/06130446",
"title": "Facial expression recognition with temporal modeling of shapes",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2011/06130446/12OmNxWLTz8",
"parentPublication": {
"id": "proceedings/iccvw/2011/0063/0",
"title": "2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2013/5545/0/06553814",
"title": "Cross-pose facial expression recognition",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2013/06553814/12OmNylboDC",
"parentPublication": {
"id": "proceedings/fg/2013/5545/0",
"title": "2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2008/2153/0/04813445",
"title": "Multi-view facial expression recognition",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2008/04813445/12OmNzICEEK",
"parentPublication": {
"id": "proceedings/fg/2008/2153/0",
"title": "2008 8th IEEE International Conference on Automatic Face & Gesture Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bracis/2018/8023/0/802300a570",
"title": "Fusion of Local Descriptors for Multi-view Facial Expression Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/bracis/2018/802300a570/17D45Wuc3aj",
"parentPublication": {
"id": "proceedings/bracis/2018/8023/0",
"title": "2018 7th Brazilian Conference on Intelligent Systems (BRACIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mlke/2022/9567/0/956700a121",
"title": "Ghost-based Convolutional Neural Network for Effective Facial Expression Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/mlke/2022/956700a121/1CY7PouZqyA",
"parentPublication": {
"id": "proceedings/mlke/2022/9567/0",
"title": "2022 International Conference on Machine Learning and Knowledge Engineering (MLKE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/igsc/2019/5416/0/08957163",
"title": "Facial Expression Recognition Based on Facial Action Unit",
"doi": null,
"abstractUrl": "/proceedings-article/igsc/2019/08957163/1gAueOR6lCo",
"parentPublication": {
"id": "proceedings/igsc/2019/5416/0",
"title": "2019 Tenth International Green and Sustainable Computing Conference (IGSC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1jVQDli79II",
"title": "2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)",
"acronym": "ssiai",
"groupId": "1000345",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1jVQEe9O2vS",
"doi": "10.1109/SSIAI49293.2020.9094599",
"title": "Visualization and Detection of Changes in Brain States Using t-SNE",
"normalizedTitle": "Visualization and Detection of Changes in Brain States Using t-SNE",
"abstract": "Dimensionality reduction techniques are used primarily for visualization purposes. With sophisticated visualization techniques like t-distributed Stochastic Neighbor Embedding (t-SNE), we can preserve the original neighborhood information even in lower dimensions. Taking advantage of this property, we present a post-processing technique for fMRI data, which can identify changes in the brain states in the tSNE space. The predicted brain state changes detected by such method show high temporal correlation to actual experimental paradigm. Such a technique can be used to extract additional information and better understand the temporal characteristics during task and resting-state fMRI experiments.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Dimensionality reduction techniques are used primarily for visualization purposes. With sophisticated visualization techniques like t-distributed Stochastic Neighbor Embedding (t-SNE), we can preserve the original neighborhood information even in lower dimensions. Taking advantage of this property, we present a post-processing technique for fMRI data, which can identify changes in the brain states in the tSNE space. The predicted brain state changes detected by such method show high temporal correlation to actual experimental paradigm. Such a technique can be used to extract additional information and better understand the temporal characteristics during task and resting-state fMRI experiments.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Dimensionality reduction techniques are used primarily for visualization purposes. With sophisticated visualization techniques like t-distributed Stochastic Neighbor Embedding (t-SNE), we can preserve the original neighborhood information even in lower dimensions. Taking advantage of this property, we present a post-processing technique for fMRI data, which can identify changes in the brain states in the tSNE space. The predicted brain state changes detected by such method show high temporal correlation to actual experimental paradigm. Such a technique can be used to extract additional information and better understand the temporal characteristics during task and resting-state fMRI experiments.",
"fno": "09094599",
"keywords": [
"Biomedical MRI",
"Brain",
"Data Visualisation",
"Medical Image Processing",
"Neurophysiology",
"Stochastic Processes",
"Dimensionality Reduction Techniques",
"Resting State F MRI",
"T Distributed Stochastic Neighbor Embedding",
"Brain State Changes Detection",
"Brain State Changes Visualization",
"Task Analysis",
"Functional Magnetic Resonance Imaging",
"Data Visualization",
"Principal Component Analysis",
"Dimensionality Reduction",
"Image Color Analysis",
"Symmetric Matrices",
"T SNE",
"Brain States",
"F MRI",
"Visualization"
],
"authors": [
{
"affiliation": "Texas Tech University,Dept. of Electrical and Computer Engineering,Lubbock,TX",
"fullName": "Harshit S Parmar",
"givenName": "Harshit S",
"surname": "Parmar",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Texas Tech University,Dept. of Electrical and Computer Engineering,Lubbock,TX",
"fullName": "Sunanda Mitra",
"givenName": "Sunanda",
"surname": "Mitra",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Texas Tech University,Dept. of Electrical and Computer Engineering,Lubbock,TX",
"fullName": "Brian Nutter",
"givenName": "Brian",
"surname": "Nutter",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "National Institutes of Health,National Library of Medicine,Bethesda,MD",
"fullName": "Rodney Long",
"givenName": "Rodney",
"surname": "Long",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "National Institutes of Health,National Library of Medicine,Bethesda,MD",
"fullName": "Sameer Antani",
"givenName": "Sameer",
"surname": "Antani",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ssiai",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-03-01T00:00:00",
"pubType": "proceedings",
"pages": "14-17",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-5745-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09094547",
"articleId": "1jVQEuzHAXe",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09094595",
"articleId": "1jVQFfMvz8s",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/sbac-pad/2018/7769/0/08645912",
"title": "T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data",
"doi": null,
"abstractUrl": "/proceedings-article/sbac-pad/2018/08645912/17QjJeZi1UO",
"parentPublication": {
"id": "proceedings/sbac-pad/2018/7769/0",
"title": "2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2018/9288/0/928800a292",
"title": "Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2018/928800a292/18jXDUv2t1K",
"parentPublication": {
"id": "proceedings/icdmw/2018/9288/0",
"title": "2018 IEEE International Conference on Data Mining Workshops (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2021/0126/0/09669871",
"title": "Learning brain effective connectivity networks via controllable variational autoencoder",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2021/09669871/1A9VOAOCrpm",
"parentPublication": {
"id": "proceedings/bibm/2021/0126/0",
"title": "2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2021/0126/0/09669679",
"title": "A Multi-Factorial Assessment of Functional Human Autistic Spectrum Brain Network Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2021/09669679/1A9WbYkG9vG",
"parentPublication": {
"id": "proceedings/bibm/2021/0126/0",
"title": "2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2022/6819/0/09995284",
"title": "Brain Effective Connectivity Learning with Deep Reinforcement Learning",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2022/09995284/1JC26DGpvFu",
"parentPublication": {
"id": "proceedings/bibm/2022/6819/0",
"title": "2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2022/8045/0/10020955",
"title": "Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2022/10020955/1KfS1ySJjEc",
"parentPublication": {
"id": "proceedings/big-data/2022/8045/0",
"title": "2022 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/08/09064929",
"title": "t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections",
"doi": null,
"abstractUrl": "/journal/tg/2020/08/09064929/1iZGzFjpwPu",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2021/9184/0/918400b691",
"title": "Fast Similarity Computation for t-SNE",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2021/918400b691/1uGXpqMZXag",
"parentPublication": {
"id": "proceedings/icde/2021/9184/0",
"title": "2021 IEEE 37th International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552856",
"title": "An Efficient Dual-Hierarchy t-SNE Minimization",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552856/1xic3JUxdG8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552433",
"title": "Joint <italic>t</italic>-SNE for Comparable Projections of Multiple High-Dimensional Datasets",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552433/1xic8QCTZRe",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzVXNJ4",
"title": "Embedded Computing, IEEE International Symposium on",
"acronym": "sec",
"groupId": "1002527",
"volume": "0",
"displayVolume": "0",
"year": "2008",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNAoUTuW",
"doi": "10.1109/SEC.2008.22",
"title": "Recognizing Geometric Path from Polygon-Based Integrated Circuit Layout",
"normalizedTitle": "Recognizing Geometric Path from Polygon-Based Integrated Circuit Layout",
"abstract": "As the continual decrease of the feature size, The parasitic inductance and capacitance effect play important role in IC design and verification. Previous works on layout extraction mainly concentrated on how to find out the type of devices and connections between them, few works has addressed the information of centerlines and widths of IC interconnects in a polygon-based VLSI layout, which are required in inductance calculation and other applications. In this paper, an efficient scheme for the centerline-based path recognition from an IC mask layout is presented. Unlike the division-based methods, a tree-traverse-based approach is proposed. This new scheme can be realized as a reverse procedure of the layout generation from wire routing trees. Moreover, this scheme can handle complex all-angle wires. Experimental results show that this scheme has nearly linear computational complexity yet generates precise results.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As the continual decrease of the feature size, The parasitic inductance and capacitance effect play important role in IC design and verification. Previous works on layout extraction mainly concentrated on how to find out the type of devices and connections between them, few works has addressed the information of centerlines and widths of IC interconnects in a polygon-based VLSI layout, which are required in inductance calculation and other applications. In this paper, an efficient scheme for the centerline-based path recognition from an IC mask layout is presented. Unlike the division-based methods, a tree-traverse-based approach is proposed. This new scheme can be realized as a reverse procedure of the layout generation from wire routing trees. Moreover, this scheme can handle complex all-angle wires. Experimental results show that this scheme has nearly linear computational complexity yet generates precise results.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "As the continual decrease of the feature size, The parasitic inductance and capacitance effect play important role in IC design and verification. Previous works on layout extraction mainly concentrated on how to find out the type of devices and connections between them, few works has addressed the information of centerlines and widths of IC interconnects in a polygon-based VLSI layout, which are required in inductance calculation and other applications. In this paper, an efficient scheme for the centerline-based path recognition from an IC mask layout is presented. Unlike the division-based methods, a tree-traverse-based approach is proposed. This new scheme can be realized as a reverse procedure of the layout generation from wire routing trees. Moreover, this scheme can handle complex all-angle wires. Experimental results show that this scheme has nearly linear computational complexity yet generates precise results.",
"fno": "3348a031",
"keywords": [
"VLSI",
"Mask Layout",
"Path Recognition",
"Interconnect"
],
"authors": [
{
"affiliation": null,
"fullName": "Zhaohui Yuan",
"givenName": "Zhaohui",
"surname": "Yuan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Shilei Sun",
"givenName": "Shilei",
"surname": "Sun",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Gaofeng Wang",
"givenName": "Gaofeng",
"surname": "Wang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "sec",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2008-10-01T00:00:00",
"pubType": "proceedings",
"pages": "31-36",
"year": "2008",
"issn": null,
"isbn": "978-0-7695-3348-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3348a026",
"articleId": "12OmNzDvSiR",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3348a037",
"articleId": "12OmNxRF70j",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/dac/2004/2501/0/25010181",
"title": "Reliability-Driven Layout Decompaction for Electromigration Failure Avoidance in Complex Mixed-Signal IC Designs",
"doi": null,
"abstractUrl": "/proceedings-article/dac/2004/25010181/12OmNAIMO9I",
"parentPublication": {
"id": "proceedings/dac/2004/2501/0",
"title": "Design Automation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccd/1997/8206/0/82060211",
"title": "Post-layout circuit speed-up by event elimination",
"doi": null,
"abstractUrl": "/proceedings-article/iccd/1997/82060211/12OmNAIMObs",
"parentPublication": {
"id": "proceedings/iccd/1997/8206/0",
"title": "Proceedings International Conference on Computer Design VLSI in Computers and Processors",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/glsv/1991/2170/0/00143982",
"title": "GALSY, an automatic layout generator of symbolic layouts from MOS circuit schematics",
"doi": null,
"abstractUrl": "/proceedings-article/glsv/1991/00143982/12OmNBKEyAz",
"parentPublication": {
"id": "proceedings/glsv/1991/2170/0",
"title": "Proceedings First Great Lakes Symposium on VLSI",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dac/1980/020/0/01585255",
"title": "A Hierarchical Approach for Layout Versus Circuit Consistency Check",
"doi": null,
"abstractUrl": "/proceedings-article/dac/1980/01585255/12OmNqIQSdt",
"parentPublication": {
"id": "proceedings/dac/1980/020/0",
"title": "17th Design Automation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hipc/1997/8067/0/80670422",
"title": "A Tight Layout of the Cube-Connected Cycles",
"doi": null,
"abstractUrl": "/proceedings-article/hipc/1997/80670422/12OmNvk7K2M",
"parentPublication": {
"id": "proceedings/hipc/1997/8067/0",
"title": "Fourth International Conference on High-Performance Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dac/1978/9999/0/01585171",
"title": "Methods for Hierarchical Automatic Layout of Custom LSI Circuit Masks",
"doi": null,
"abstractUrl": "/proceedings-article/dac/1978/01585171/12OmNvmowOG",
"parentPublication": {
"id": "proceedings/dac/1978/9999/0",
"title": "Design Automation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dac/1988/0864/0/00014734",
"title": "A module area estimator for VLSI layout",
"doi": null,
"abstractUrl": "/proceedings-article/dac/1988/00014734/12OmNwvVrJN",
"parentPublication": {
"id": "proceedings/dac/1988/0864/0",
"title": "Design Automation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/arvlsid/1995/7047/0/70470172",
"title": "Recursive layout generation",
"doi": null,
"abstractUrl": "/proceedings-article/arvlsid/1995/70470172/12OmNxy4N1J",
"parentPublication": {
"id": "proceedings/arvlsid/1995/7047/0",
"title": "Advanced Research in VLSI, Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/edtc/1995/7039/0/70390598",
"title": "SENSAT-a practical tool for estimation of the IC layout sensitivity to spot defects",
"doi": null,
"abstractUrl": "/proceedings-article/edtc/1995/70390598/12OmNyvoXh2",
"parentPublication": {
"id": "proceedings/edtc/1995/7039/0",
"title": "European Design and Test Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/si/2012/03/05703168",
"title": "A Framework for Layout-dependent STI Stress Analysis and Stress-aware Circuit Optimization",
"doi": null,
"abstractUrl": "/journal/si/2012/03/05703168/13rRUxNEqNc",
"parentPublication": {
"id": "trans/si",
"title": "IEEE Transactions on Very Large Scale Integration (VLSI) Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNxX3uMf",
"title": "2011 International Conference on Document Analysis and Recognition",
"acronym": "icdar",
"groupId": "1000219",
"volume": "0",
"displayVolume": "0",
"year": "2011",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNqIQS6r",
"doi": "10.1109/ICDAR.2011.108",
"title": "Layout Analysis for Historical Manuscripts Using Sift Features",
"normalizedTitle": "Layout Analysis for Historical Manuscripts Using Sift Features",
"abstract": "We propose a layout analysis method for historical manuscripts that relies on the part-based identification of layout entities. A layout entity -- such as letters of the text, initials or headings -- is composed of a set of characteristic segments or structures, which is dissimilar for distinct classes in the manuscripts under consideration. This fact is exploited in order to segment a manuscript page into homogeneous regions. Historical documents traditionally involve challenges such as uneven writing support and varying shapes of characters, fluctuating text lines, changing scripts and writing styles, and variance in the layout itself. Hence, a part-based detection of layout entities is proposed using a multi-stage algorithm for the localization of the entities, based on interest points. Results show that the proposed method is able to locate initials, headings and text areas in ancient manuscripts containing stains, tears and partially faded-out ink sufficiently well.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We propose a layout analysis method for historical manuscripts that relies on the part-based identification of layout entities. A layout entity -- such as letters of the text, initials or headings -- is composed of a set of characteristic segments or structures, which is dissimilar for distinct classes in the manuscripts under consideration. This fact is exploited in order to segment a manuscript page into homogeneous regions. Historical documents traditionally involve challenges such as uneven writing support and varying shapes of characters, fluctuating text lines, changing scripts and writing styles, and variance in the layout itself. Hence, a part-based detection of layout entities is proposed using a multi-stage algorithm for the localization of the entities, based on interest points. Results show that the proposed method is able to locate initials, headings and text areas in ancient manuscripts containing stains, tears and partially faded-out ink sufficiently well.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We propose a layout analysis method for historical manuscripts that relies on the part-based identification of layout entities. A layout entity -- such as letters of the text, initials or headings -- is composed of a set of characteristic segments or structures, which is dissimilar for distinct classes in the manuscripts under consideration. This fact is exploited in order to segment a manuscript page into homogeneous regions. Historical documents traditionally involve challenges such as uneven writing support and varying shapes of characters, fluctuating text lines, changing scripts and writing styles, and variance in the layout itself. Hence, a part-based detection of layout entities is proposed using a multi-stage algorithm for the localization of the entities, based on interest points. Results show that the proposed method is able to locate initials, headings and text areas in ancient manuscripts containing stains, tears and partially faded-out ink sufficiently well.",
"fno": "4520a508",
"keywords": [
"Sift",
"Part Based",
"Layout Analysis",
"Document Layout",
"Handwritten",
"Historical Manuscripts"
],
"authors": [
{
"affiliation": null,
"fullName": "Angelika Garz",
"givenName": "Angelika",
"surname": "Garz",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Robert Sablatnig",
"givenName": "Robert",
"surname": "Sablatnig",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Markus Diem",
"givenName": "Markus",
"surname": "Diem",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icdar",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2011-09-01T00:00:00",
"pubType": "proceedings",
"pages": "508-512",
"year": "2011",
"issn": "1520-5363",
"isbn": "978-0-7695-4520-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4520a503",
"articleId": "12OmNvqEvKU",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4520a513",
"articleId": "12OmNAgY7mV",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icdar/2013/4999/0/06628771",
"title": "Text Line Extraction Using DMLP Classifiers for Historical Manuscripts",
"doi": null,
"abstractUrl": "/proceedings-article/icdar/2013/06628771/12OmNBO3Kfp",
"parentPublication": {
"id": "proceedings/icdar/2013/4999/0",
"title": "2013 12th International Conference on Document Analysis and Recognition (ICDAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ism/2009/3890/0/3890a571",
"title": "Augmenting Historical Manuscripts with Automatic Hyperlinks",
"doi": null,
"abstractUrl": "/proceedings-article/ism/2009/3890a571/12OmNCdBDUO",
"parentPublication": {
"id": "proceedings/ism/2009/3890/0",
"title": "2009 11th IEEE International Symposium on Multimedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdar/2011/4520/0/4520b185",
"title": "Multi Resolution Layout Analysis of Medieval Manuscripts Using Dynamic MLP",
"doi": null,
"abstractUrl": "/proceedings-article/icdar/2011/4520b185/12OmNs0kyuG",
"parentPublication": {
"id": "proceedings/icdar/2011/4520/0",
"title": "2011 International Conference on Document Analysis and Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdar/2017/3586/1/3586b361",
"title": "ICDAR2017 Competition on Layout Analysis for Challenging Medieval Manuscripts",
"doi": null,
"abstractUrl": "/proceedings-article/icdar/2017/3586b361/12OmNscOUg6",
"parentPublication": {
"id": "proceedings/icdar/2017/3586/1",
"title": "2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icfhr/2010/4221/0/4221a182",
"title": "Semi-automatic Annotation Tool for Medieval Manuscripts",
"doi": null,
"abstractUrl": "/proceedings-article/icfhr/2010/4221a182/12OmNwHyZY9",
"parentPublication": {
"id": "proceedings/icfhr/2010/4221/0",
"title": "Frontiers in Handwriting Recognition, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2010/4256/0/4256a699",
"title": "Mother Fugger: Mining Historical Manuscripts with Local Color Patches",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2010/4256a699/12OmNxecS7P",
"parentPublication": {
"id": "proceedings/icdm/2010/4256/0",
"title": "2010 IEEE International Conference on Data Mining",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2010/4109/0/4109c274",
"title": "Non-rigid Image Registration for Historical Manuscript Restoration",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2010/4109c274/12OmNyxXlyO",
"parentPublication": {
"id": "proceedings/icpr/2010/4109/0",
"title": "Pattern Recognition, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdarw/2019/5054/2/505402a031",
"title": "HInDoLA: A Unified Cloud-Based Platform for Annotation, Visualization and Machine Learning-Based Layout Analysis of Historical Manuscripts",
"doi": null,
"abstractUrl": "/proceedings-article/icdarw/2019/505402a031/1eLycSvlyZG",
"parentPublication": {
"id": "icdarw/2019/5054/2",
"title": "2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdar/2019/3014/0/301400a999",
"title": "Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts",
"doi": null,
"abstractUrl": "/proceedings-article/icdar/2019/301400a999/1h81vg2L6Jq",
"parentPublication": {
"id": "proceedings/icdar/2019/3014/0",
"title": "2019 International Conference on Document Analysis and Recognition (ICDAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdar/2019/3014/0/301400a738",
"title": "Layout Analysis on Challenging Historical Arabic Manuscripts using Siamese Network",
"doi": null,
"abstractUrl": "/proceedings-article/icdar/2019/301400a738/1h81vmDN5ao",
"parentPublication": {
"id": "proceedings/icdar/2019/3014/0",
"title": "2019 International Conference on Document Analysis and Recognition (ICDAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNy5hRco",
"title": "2011 IEEE 52nd Annual Symposium on Foundations of Computer Science",
"acronym": "focs",
"groupId": "1000292",
"volume": "0",
"displayVolume": "0",
"year": "2011",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNqJ8tud",
"doi": "10.1109/FOCS.2011.71",
"title": "Markov Layout",
"normalizedTitle": "Markov Layout",
"abstract": "Consider the problem of laying out a set of Z_$n$_Z images that match a query onto the nodes of a Z_$\\sqrt{n}\\times\\sqrt{n}$_Z grid. We are given a score for each image, as well as the distribution of patterns by which a user's eye scans the nodes of the grid and we wish to maximize the expected total score of images selected by the user. This is a special case of the \\emph{Markov layout} problem, in which we are given a Markov chain Z_$M$_Z together with a set of objects to be placed at the states of the Markov chain. Each object has a utility to the user if viewed, as well as a stopping probability with which the user ceases to look further at objects. This layout problem is prototypical in a number of applications in web search and advertising, particularly in an emerging genre of search results pages from major engines. In a different class of applications, the states of the Markov chain are web pages at a publishers website and the objects are advertisements. We study the approximability of the Markov layout problem. Our main result is an Z_$O(\\log n)$_Z approximation algorithm for the most general version of the problem. The core idea is to transform an optimization problem over partial permutations into an optimization problem over sets by losing a logarithmic factor in approximation, the latter problem is then shown to be sub modular with two matroid constraints, which admits a constant-factor approximation. In contrast, we also show the problem is APX-hard via a reduction from {\\sc Cubic Max-Bisection}. We then study harder variants of greater practical interest of the problem in which no \\emph{gaps} -- states of Z_$M$_Z with no object placed on them -- are allowed. By exploiting the geometry, we obtain an Z_$O(\\log^{3/2} n)$_Z approximation algorithm when the digraph underlying Z_$M$_Z is a grid and an Z_$O(\\log n)$_Z approximation algorithm when it is a tree. These special cases are especially appropriate for our applications.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Consider the problem of laying out a set of $n$ images that match a query onto the nodes of a $\\sqrt{n}\\times\\sqrt{n}$ grid. We are given a score for each image, as well as the distribution of patterns by which a user's eye scans the nodes of the grid and we wish to maximize the expected total score of images selected by the user. This is a special case of the \\emph{Markov layout} problem, in which we are given a Markov chain $M$ together with a set of objects to be placed at the states of the Markov chain. Each object has a utility to the user if viewed, as well as a stopping probability with which the user ceases to look further at objects. This layout problem is prototypical in a number of applications in web search and advertising, particularly in an emerging genre of search results pages from major engines. In a different class of applications, the states of the Markov chain are web pages at a publishers website and the objects are advertisements. We study the approximability of the Markov layout problem. Our main result is an $O(\\log n)$ approximation algorithm for the most general version of the problem. The core idea is to transform an optimization problem over partial permutations into an optimization problem over sets by losing a logarithmic factor in approximation, the latter problem is then shown to be sub modular with two matroid constraints, which admits a constant-factor approximation. In contrast, we also show the problem is APX-hard via a reduction from {\\sc Cubic Max-Bisection}. We then study harder variants of greater practical interest of the problem in which no \\emph{gaps} -- states of $M$ with no object placed on them -- are allowed. By exploiting the geometry, we obtain an $O(\\log^{3/2} n)$ approximation algorithm when the digraph underlying $M$ is a grid and an $O(\\log n)$ approximation algorithm when it is a tree. These special cases are especially appropriate for our applications.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Consider the problem of laying out a set of - images that match a query onto the nodes of a - grid. We are given a score for each image, as well as the distribution of patterns by which a user's eye scans the nodes of the grid and we wish to maximize the expected total score of images selected by the user. This is a special case of the \\emph{Markov layout} problem, in which we are given a Markov chain - together with a set of objects to be placed at the states of the Markov chain. Each object has a utility to the user if viewed, as well as a stopping probability with which the user ceases to look further at objects. This layout problem is prototypical in a number of applications in web search and advertising, particularly in an emerging genre of search results pages from major engines. In a different class of applications, the states of the Markov chain are web pages at a publishers website and the objects are advertisements. We study the approximability of the Markov layout problem. Our main result is an - approximation algorithm for the most general version of the problem. The core idea is to transform an optimization problem over partial permutations into an optimization problem over sets by losing a logarithmic factor in approximation, the latter problem is then shown to be sub modular with two matroid constraints, which admits a constant-factor approximation. In contrast, we also show the problem is APX-hard via a reduction from {\\sc Cubic Max-Bisection}. We then study harder variants of greater practical interest of the problem in which no \\emph{gaps} -- states of - with no object placed on them -- are allowed. By exploiting the geometry, we obtain an - approximation algorithm when the digraph underlying - is a grid and an - approximation algorithm when it is a tree. These special cases are especially appropriate for our applications.",
"fno": "4571a492",
"keywords": [
"Webpage Layout",
"Markov Chain",
"Utility"
],
"authors": [
{
"affiliation": null,
"fullName": "Flavio Chierichetti",
"givenName": "Flavio",
"surname": "Chierichetti",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Ravi Kumar",
"givenName": "Ravi",
"surname": "Kumar",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Prabhakar Raghavan",
"givenName": "Prabhakar",
"surname": "Raghavan",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "focs",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2011-10-01T00:00:00",
"pubType": "proceedings",
"pages": "492-501",
"year": "2011",
"issn": "0272-5428",
"isbn": "978-0-7695-4571-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4571a482",
"articleId": "12OmNrJAdX4",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4571a502",
"articleId": "12OmNzsJ7yw",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icnc/2009/3736/1/3736a154",
"title": "Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples",
"doi": null,
"abstractUrl": "/proceedings-article/icnc/2009/3736a154/12OmNBSBkhC",
"parentPublication": {
"id": "proceedings/icnc/2009/3736/4",
"title": "2009 Fifth International Conference on Natural Computation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dsde/2010/3958/0/3958a305",
"title": "Correction and Interpolation of Noise Corrupted Voice Using Markov Chain Detection Technique",
"doi": null,
"abstractUrl": "/proceedings-article/dsde/2010/3958a305/12OmNBkxsv3",
"parentPublication": {
"id": "proceedings/dsde/2010/3958/0",
"title": "Data Storage and Data Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/esiat/2009/3682/2/3682b023",
"title": "Meteorological Drought Forecasting Using Markov Chain Model",
"doi": null,
"abstractUrl": "/proceedings-article/esiat/2009/3682b023/12OmNwOnn0n",
"parentPublication": {
"id": "esiat/2009/3682/2",
"title": "Environmental Science and Information Application Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/focs/1992/2900/0/0267771",
"title": "Markov paging",
"doi": null,
"abstractUrl": "/proceedings-article/focs/1992/0267771/12OmNwogh90",
"parentPublication": {
"id": "proceedings/focs/1992/2900/0",
"title": "Proceedings., 33rd Annual Symposium on Foundations of Computer Science",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isecs/2008/3258/0/3258a569",
"title": "E-business Enterprise Credit Risk Evaluation Based on Markov Chain",
"doi": null,
"abstractUrl": "/proceedings-article/isecs/2008/3258a569/12OmNwsNRgm",
"parentPublication": {
"id": "proceedings/isecs/2008/3258/0",
"title": "Electronic Commerce and Security, International Symposium",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bracis/2016/3566/0/07839633",
"title": "The Role of Discount Factor in Risk Sensitive Markov Decision Processes",
"doi": null,
"abstractUrl": "/proceedings-article/bracis/2016/07839633/12OmNx8fi9i",
"parentPublication": {
"id": "proceedings/bracis/2016/3566/0",
"title": "2016 5th Brazilian Conference on Intelligent Systems (BRACIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iciii/2011/4523/3/4523c133",
"title": "Population Forecasting in China Based on the Grey-Markov Model",
"doi": null,
"abstractUrl": "/proceedings-article/iciii/2011/4523c133/12OmNxuo0k1",
"parentPublication": {
"id": "proceedings/iciii/2011/4523/3",
"title": "International Conference on Information Management, Innovation Management and Industrial Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2002/7402/1/05743829",
"title": "Mixed-memory Markov models for Automatic Language Identification",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2002/05743829/12OmNylKASI",
"parentPublication": {
"id": "proceedings/icassp/2002/7402/1",
"title": "Proceedings of International Conference on Acoustics, Speech and Signal Processing (CASSP'02)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2010/4109/0/4109b364",
"title": "Continuous Markov Random Field Optimization Using Fusion Move Driven Markov Chain Monte Carlo Technique",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2010/4109b364/12OmNzBwGBR",
"parentPublication": {
"id": "proceedings/icpr/2010/4109/0",
"title": "Pattern Recognition, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2003/05/i0634",
"title": "Pairwise Markov Chains",
"doi": null,
"abstractUrl": "/journal/tp/2003/05/i0634/13rRUygT7tP",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNxHrylY",
"title": "2015 14th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)",
"acronym": "cad-graphics",
"groupId": "1001488",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNviHKiH",
"doi": "10.1109/CADGRAPHICS.2015.24",
"title": "Facade Layout Symmetrization",
"normalizedTitle": "Facade Layout Symmetrization",
"abstract": "We present an automatic algorithm for symmetrizing facade layouts. Our method symmetrizes a given facade layout while minimally modifying the original layout. Based on the principles of symmetry in urban design, we formulate the problem of facade layout symmetrization as an optimization problem. Our system further enhances the regularity of the final layout by redistributing and aligning boxes in the layout. We demonstrate that the proposed solution can generate symmetric facade layouts efficiently.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We present an automatic algorithm for symmetrizing facade layouts. Our method symmetrizes a given facade layout while minimally modifying the original layout. Based on the principles of symmetry in urban design, we formulate the problem of facade layout symmetrization as an optimization problem. Our system further enhances the regularity of the final layout by redistributing and aligning boxes in the layout. We demonstrate that the proposed solution can generate symmetric facade layouts efficiently.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We present an automatic algorithm for symmetrizing facade layouts. Our method symmetrizes a given facade layout while minimally modifying the original layout. Based on the principles of symmetry in urban design, we formulate the problem of facade layout symmetrization as an optimization problem. Our system further enhances the regularity of the final layout by redistributing and aligning boxes in the layout. We demonstrate that the proposed solution can generate symmetric facade layouts efficiently.",
"fno": "07450427",
"keywords": [
"Layout",
"Geometry",
"Design Automation",
"Automation",
"Visualization",
"Regularity",
"Facade Layout",
"Symmetry"
],
"authors": [
{
"affiliation": null,
"fullName": "Haiyong Jiang",
"givenName": "Haiyong",
"surname": "Jiang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Weiming Dong",
"givenName": "Weiming",
"surname": "Dong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Dong-Ming Yan",
"givenName": "Dong-Ming",
"surname": "Yan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Xiaopeng Zhang",
"givenName": "Xiaopeng",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cad-graphics",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-08-01T00:00:00",
"pubType": "proceedings",
"pages": "222-223",
"year": "2015",
"issn": null,
"isbn": "978-1-4673-8020-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07450426",
"articleId": "12OmNyQYtow",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07450428",
"articleId": "12OmNxxdZN0",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/date/2011/4208/0/05763267",
"title": "Generator based approach for analog circuit and layout design and optimization",
"doi": null,
"abstractUrl": "/proceedings-article/date/2011/05763267/12OmNB1eJF4",
"parentPublication": {
"id": "proceedings/date/2011/4208/0",
"title": "Design, Automation & Test in Europe Conference & Exhibition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aspdac/2004/8175/0/01337607",
"title": "Multiple specifications radio-frequency integrated circuit design with automatic template-driven layout retargeting",
"doi": null,
"abstractUrl": "/proceedings-article/aspdac/2004/01337607/12OmNBziBcg",
"parentPublication": {
"id": "proceedings/aspdac/2004/8175/0",
"title": "ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2017/5738/0/08031595",
"title": "Visualizing the uncertainty induced by graph layout algorithms",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2017/08031595/12OmNs0C9DQ",
"parentPublication": {
"id": "proceedings/pacificvis/2017/5738/0",
"title": "2017 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2013/4797/0/06596149",
"title": "A generative layout approach for rooted tree drawings",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2013/06596149/12OmNxXCGLc",
"parentPublication": {
"id": "proceedings/pacificvis/2013/4797/0",
"title": "2013 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/asp-dac/2004/2543/0/01337607",
"title": "Multiple specifications radio-frequency integrated circuit design with automatic template-driven layout retargeting",
"doi": null,
"abstractUrl": "/proceedings-article/asp-dac/2004/01337607/12OmNxecS8e",
"parentPublication": {
"id": "proceedings/asp-dac/2004/2543/0",
"title": "Asia and South Pacific Design Automation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dac/2004/2501/0/25010139",
"title": "Correct-by-Construction Layout-Centric Retargeting of Large Analog Designs",
"doi": null,
"abstractUrl": "/proceedings-article/dac/2004/25010139/12OmNyRPgIC",
"parentPublication": {
"id": "proceedings/dac/2004/2501/0",
"title": "Design Automation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2010/7029/0/05543519",
"title": "Estimating Gothic facade architecture from imagery",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2010/05543519/12OmNyY4rgF",
"parentPublication": {
"id": "proceedings/cvprw/2010/7029/0",
"title": "2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122586",
"title": "Automatic Layout of Structured Hierarchical Reports",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122586/13rRUwh80Hb",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/08/07272131",
"title": "Automatic Constraint Detection for 2D Layout Regularization",
"doi": null,
"abstractUrl": "/journal/tg/2016/08/07272131/13rRUxcsYLU",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08805452",
"title": "A Deep Generative Model for Graph Layout",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08805452/1cG4LsVN2zS",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzl3WX0",
"title": "2013 10th Web Information System and Application Conference (WISA)",
"acronym": "wisa",
"groupId": "1003022",
"volume": "0",
"displayVolume": "0",
"year": "2013",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzYwc8h",
"doi": "10.1109/WISA.2013.46",
"title": "Trust Network Visualization Based on Force-Directed Layout",
"normalizedTitle": "Trust Network Visualization Based on Force-Directed Layout",
"abstract": "As a formal description approach, the trust network can intuitively describe trust relationships among entities in virtual communities and attracts great attentions. The trust network visualization is a key to explore the mechanism of trust propagation and study the trust evaluation. Most existing network visualization approaches only take into account the undirected and unweighted graphs, which cannot illustrate the asymmetry and the discreteness of trust relationships. To solve this issue, we define the public influence weight, the trust strength and the trust distance in this paper and propose the force-directed visualization algorithm for trust network. In the visualization algorithm, the desirable length between two nodes is determined by the trust strength so as to cluster trusted entities, and the forces between two different nodes are determined by their public influence weights so as to center on the heavyweight entities. Finally, the visualization experiments are carried out on the Epinions data set and the performance of the proposed algorithm is compared with the classical force-directed layout algorithm. The experimental results show that it can reveal the nature of communities better.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As a formal description approach, the trust network can intuitively describe trust relationships among entities in virtual communities and attracts great attentions. The trust network visualization is a key to explore the mechanism of trust propagation and study the trust evaluation. Most existing network visualization approaches only take into account the undirected and unweighted graphs, which cannot illustrate the asymmetry and the discreteness of trust relationships. To solve this issue, we define the public influence weight, the trust strength and the trust distance in this paper and propose the force-directed visualization algorithm for trust network. In the visualization algorithm, the desirable length between two nodes is determined by the trust strength so as to cluster trusted entities, and the forces between two different nodes are determined by their public influence weights so as to center on the heavyweight entities. Finally, the visualization experiments are carried out on the Epinions data set and the performance of the proposed algorithm is compared with the classical force-directed layout algorithm. The experimental results show that it can reveal the nature of communities better.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "As a formal description approach, the trust network can intuitively describe trust relationships among entities in virtual communities and attracts great attentions. The trust network visualization is a key to explore the mechanism of trust propagation and study the trust evaluation. Most existing network visualization approaches only take into account the undirected and unweighted graphs, which cannot illustrate the asymmetry and the discreteness of trust relationships. To solve this issue, we define the public influence weight, the trust strength and the trust distance in this paper and propose the force-directed visualization algorithm for trust network. In the visualization algorithm, the desirable length between two nodes is determined by the trust strength so as to cluster trusted entities, and the forces between two different nodes are determined by their public influence weights so as to center on the heavyweight entities. Finally, the visualization experiments are carried out on the Epinions data set and the performance of the proposed algorithm is compared with the classical force-directed layout algorithm. The experimental results show that it can reveal the nature of communities better.",
"fno": "06778637",
"keywords": [
"Layout",
"Force",
"Potential Energy",
"Visualization",
"Algorithm Design And Analysis",
"Mathematical Model",
"Time Complexity",
"Trust Distance",
"Trust Network",
"Layout Techniques",
"Force Directed Algorithms"
],
"authors": [
{
"affiliation": null,
"fullName": "Zaobin Gan",
"givenName": "Zaobin",
"surname": "Gan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Na Li",
"givenName": "Na",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Yao Ma",
"givenName": "Yao",
"surname": "Ma",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Hongwei Lu",
"givenName": "Hongwei",
"surname": "Lu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "wisa",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2013-11-01T00:00:00",
"pubType": "proceedings",
"pages": "199-204",
"year": "2013",
"issn": null,
"isbn": "978-1-4799-3218-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "06778636",
"articleId": "12OmNBh8gUc",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06778638",
"articleId": "12OmNBDQbmu",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/pacificvis/2013/4797/0/06596148",
"title": "FlexGD: A flexible force-directed model for graph drawing",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2013/06596148/12OmNBE7MqY",
"parentPublication": {
"id": "proceedings/pacificvis/2013/4797/0",
"title": "2013 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/his/2009/3745/3/3745c010",
"title": "An Improved Network Topology Auto-layout Solution Based on Force-Directed Placement",
"doi": null,
"abstractUrl": "/proceedings-article/his/2009/3745c010/12OmNBV9Ibm",
"parentPublication": {
"id": "proceedings/his/2009/3745/3",
"title": "Hybrid Intelligent Systems, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2012/4771/0/4771a124",
"title": "Force-directed Graph Visualization with Pre-positioning - Improving Convergence Time and Quality of Layout",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2012/4771a124/12OmNBiygtD",
"parentPublication": {
"id": "proceedings/iv/2012/4771/0",
"title": "2012 16th International Conference on Information Visualisation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2005/2397/0/23970329",
"title": "A New Force-Directed Graph Drawing Method Based on Edge-Edge Repulsion",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2005/23970329/12OmNCwCLry",
"parentPublication": {
"id": "proceedings/iv/2005/2397/0",
"title": "Ninth International Conference on Information Visualisation (IV'05)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ispdc/2012/2599/0/06341510",
"title": "Scalable Force Directed Graph Layout Algorithms Using Fast Multipole Methods",
"doi": null,
"abstractUrl": "/proceedings-article/ispdc/2012/06341510/12OmNx3HI8B",
"parentPublication": {
"id": "proceedings/ispdc/2012/2599/0",
"title": "2012 11th International Symposium on Parallel and Distributed Computing (ISPDC 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icbk/2018/9125/0/912500a139",
"title": "Snapshot Visualization of Complex Graphs with Force-Directed Algorithms",
"doi": null,
"abstractUrl": "/proceedings-article/icbk/2018/912500a139/17D45VsBU1x",
"parentPublication": {
"id": "proceedings/icbk/2018/9125/0",
"title": "2018 IEEE International Conference on Big Knowledge (ICBK)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08807379",
"title": "Persistent Homology Guided Force-Directed Graph Layouts",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08807379/1cG6h8OkgJq",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ldav/2019/2605/0/08944364",
"title": "Force-Directed Graph Layouts by Edge Sampling",
"doi": null,
"abstractUrl": "/proceedings-article/ldav/2019/08944364/1grOFicLl9S",
"parentPublication": {
"id": "proceedings/ldav/2019/2605/0",
"title": "2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2020/5697/0/09086287",
"title": "BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2020/09086287/1kuHng3Il6E",
"parentPublication": {
"id": "proceedings/pacificvis/2020/5697/0",
"title": "2020 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hipc/2020/2292/0/229200a271",
"title": "Accelerating Force-directed Graph Layout with Processing-in-Memory Architecture",
"doi": null,
"abstractUrl": "/proceedings-article/hipc/2020/229200a271/1taF2khgyL6",
"parentPublication": {
"id": "proceedings/hipc/2020/2292/0",
"title": "2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1E2weOclERO",
"title": "2022 IEEE 15th Pacific Visualization Symposium (PacificVis)",
"acronym": "pacificvis",
"groupId": "1001657",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1E2wfeBklZS",
"doi": "10.1109/PacificVis53943.2022.00015",
"title": "UNICON: A UNIform CONstraint Based Graph Layout Framework",
"normalizedTitle": "UNICON: A UNIform CONstraint Based Graph Layout Framework",
"abstract": "We propose UNICON, a UNIform CONstraint based graph layout framework that supports both soft and hard constraints. We extend the stress model to accommodate soft constraints by incorporating them in the objective functions, optimized by stochastic gradient descent. For hard constraints, such as inequalities or equalities in the layout space, we utilize a gradient projection method to satisfy them. A visualization prototype system is implemented based on this framework for the user to interactively add or remove constraints to generate the desired layouts. We demonstrate the efficiency, quality, and flexibility of the framework and the system on a number of datasets with a wide range of user-defined constraints.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We propose UNICON, a UNIform CONstraint based graph layout framework that supports both soft and hard constraints. We extend the stress model to accommodate soft constraints by incorporating them in the objective functions, optimized by stochastic gradient descent. For hard constraints, such as inequalities or equalities in the layout space, we utilize a gradient projection method to satisfy them. A visualization prototype system is implemented based on this framework for the user to interactively add or remove constraints to generate the desired layouts. We demonstrate the efficiency, quality, and flexibility of the framework and the system on a number of datasets with a wide range of user-defined constraints.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We propose UNICON, a UNIform CONstraint based graph layout framework that supports both soft and hard constraints. We extend the stress model to accommodate soft constraints by incorporating them in the objective functions, optimized by stochastic gradient descent. For hard constraints, such as inequalities or equalities in the layout space, we utilize a gradient projection method to satisfy them. A visualization prototype system is implemented based on this framework for the user to interactively add or remove constraints to generate the desired layouts. We demonstrate the efficiency, quality, and flexibility of the framework and the system on a number of datasets with a wide range of user-defined constraints.",
"fno": "233500a061",
"keywords": [
"Constraint Handling",
"Data Visualisation",
"Gradient Methods",
"Graph Theory",
"Network Theory Graphs",
"Optimisation",
"Stochastic Processes",
"Hard Constraints",
"Layout Space",
"Gradient Projection Method",
"Desired Layouts",
"User Defined Constraints",
"UNICON",
"UN Iform CO Nstraint Based Graph Layout Framework",
"Stress Model",
"Soft Constraints",
"Stochastic Gradient Descent",
"Visualization",
"Layout",
"Stochastic Processes",
"Prototypes",
"Linear Programming",
"Stress",
"Graph Visualization",
"Stress Model",
"Constraints",
"Stochas Tic Gradient Descent"
],
"authors": [
{
"affiliation": "Peking University,National Engineering Laboratory for Big Data Analysis and Application,Beijing,China",
"fullName": "Jiacheng Yu",
"givenName": "Jiacheng",
"surname": "Yu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Yahoo Research,New York,United States",
"fullName": "Yifan Hu",
"givenName": "Yifan",
"surname": "Hu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Peking University,Key Laboratory of Machine Perception (Minstry of Education), and School of AI,Beijing,China",
"fullName": "Xiaoru Yuan",
"givenName": "Xiaoru",
"surname": "Yuan",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "pacificvis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-04-01T00:00:00",
"pubType": "proceedings",
"pages": "61-70",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-2335-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "233500a051",
"articleId": "1E2wj8PptTi",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "233500a071",
"articleId": "1E2wnzT07xm",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ictai/2012/0227/1/06495146",
"title": "Extending Linear Relaxation for User Interface Layout",
"doi": null,
"abstractUrl": "/proceedings-article/ictai/2012/06495146/12OmNBp52E2",
"parentPublication": {
"id": "proceedings/ictai/2012/0227/1",
"title": "2012 IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isqed/2008/3117/0/3117a379",
"title": "On Efficient and Robust Constraint Generation for Practical Layout Legalization",
"doi": null,
"abstractUrl": "/proceedings-article/isqed/2008/3117a379/12OmNwdL7qV",
"parentPublication": {
"id": "proceedings/isqed/2008/3117/0",
"title": "2008 9th International Symposium on Quality Electronic Design (ISQED '08)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vl/1993/3970/0/00269619",
"title": "Constraint-driven diagram layout",
"doi": null,
"abstractUrl": "/proceedings-article/vl/1993/00269619/12OmNwvVrCN",
"parentPublication": {
"id": "proceedings/vl/1993/3970/0",
"title": "Proceedings 1993 IEEE Symposium on Visual Languages",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/05/v0821",
"title": "IPSep-CoLa: An Incremental Procedure for Separation Constraint Layout of Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2006/05/v0821/13rRUNvyat8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/01/08017634",
"title": "Revisiting Stress Majorization as a Unified Framework for Interactive Constrained Graph Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2018/01/08017634/13rRUxC0Sw3",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/08/07272131",
"title": "Automatic Constraint Detection for 2D Layout Regularization",
"doi": null,
"abstractUrl": "/journal/tg/2016/08/07272131/13rRUxcsYLU",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200g670",
"title": "Generative Layout Modeling using Constraint Graphs",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200g670/1BmIILGrL1u",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2022/7218/0/09859350",
"title": "FLNet: Graph Constrained Floor Layout Generation",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2022/09859350/1G4F3rhl6ne",
"parentPublication": {
"id": "proceedings/icmew/2022/7218/0",
"title": "2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904492",
"title": "Taurus: Towards a Unified Force Representation and Universal Solver for Graph Layout",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904492/1H1gf0yG0qA",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/12/09477202",
"title": "fCoSE: A Fast Compound Graph Layout Algorithm with Constraint Support",
"doi": null,
"abstractUrl": "/journal/tg/2022/12/09477202/1v2MaDZG6fC",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1hQqfuoOyHu",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"acronym": "iccv",
"groupId": "1000149",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1hVlTDVb5dK",
"doi": "10.1109/ICCV.2019.00753",
"title": "Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence Learning",
"normalizedTitle": "Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence Learning",
"abstract": "Generating semantic layout from scene graph is a crucial intermediate task connecting text to image. We present a conceptually simple, flexible and general framework using sequence to sequence (seq-to-seq) learning for this task. The framework, called Seq-SG2SL, derives sequence proxies for the two modality and a Transformer-based seq-to-seq model learns to transduce one into the other. A scene graph is decomposed into a sequence of semantic fragments (SF), one for each relationship. A semantic layout is represented as the consequence from a series of brick-action code segments (BACS), dictating the position and scale of each object bounding box in the layout. Viewing the two building blocks, SF and BACS, as corresponding terms in two different vocabularies, a seq-to-seq model is fittingly used to translate. A new metric, semantic layout evaluation understudy (SLEU), is devised to evaluate the task of semantic layout prediction inspired by BLEU. SLEU defines relationships within a layout as unigrams and looks at the spatial distribution for n-grams. Unlike the binary precision of BLEU, SLEU allows for some tolerances spatially through thresholding the Jaccard Index and is consequently more adapted to the task. Experimental results on the challenging Visual Genome dataset show improvement over a non-sequential approach based on graph convolution.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Generating semantic layout from scene graph is a crucial intermediate task connecting text to image. We present a conceptually simple, flexible and general framework using sequence to sequence (seq-to-seq) learning for this task. The framework, called Seq-SG2SL, derives sequence proxies for the two modality and a Transformer-based seq-to-seq model learns to transduce one into the other. A scene graph is decomposed into a sequence of semantic fragments (SF), one for each relationship. A semantic layout is represented as the consequence from a series of brick-action code segments (BACS), dictating the position and scale of each object bounding box in the layout. Viewing the two building blocks, SF and BACS, as corresponding terms in two different vocabularies, a seq-to-seq model is fittingly used to translate. A new metric, semantic layout evaluation understudy (SLEU), is devised to evaluate the task of semantic layout prediction inspired by BLEU. SLEU defines relationships within a layout as unigrams and looks at the spatial distribution for n-grams. Unlike the binary precision of BLEU, SLEU allows for some tolerances spatially through thresholding the Jaccard Index and is consequently more adapted to the task. Experimental results on the challenging Visual Genome dataset show improvement over a non-sequential approach based on graph convolution.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Generating semantic layout from scene graph is a crucial intermediate task connecting text to image. We present a conceptually simple, flexible and general framework using sequence to sequence (seq-to-seq) learning for this task. The framework, called Seq-SG2SL, derives sequence proxies for the two modality and a Transformer-based seq-to-seq model learns to transduce one into the other. A scene graph is decomposed into a sequence of semantic fragments (SF), one for each relationship. A semantic layout is represented as the consequence from a series of brick-action code segments (BACS), dictating the position and scale of each object bounding box in the layout. Viewing the two building blocks, SF and BACS, as corresponding terms in two different vocabularies, a seq-to-seq model is fittingly used to translate. A new metric, semantic layout evaluation understudy (SLEU), is devised to evaluate the task of semantic layout prediction inspired by BLEU. SLEU defines relationships within a layout as unigrams and looks at the spatial distribution for n-grams. Unlike the binary precision of BLEU, SLEU allows for some tolerances spatially through thresholding the Jaccard Index and is consequently more adapted to the task. Experimental results on the challenging Visual Genome dataset show improvement over a non-sequential approach based on graph convolution.",
"fno": "480300h434",
"keywords": [
"Data Visualisation",
"Graph Theory",
"Image Segmentation",
"Learning Artificial Intelligence",
"Scene Graph",
"Sequence To Sequence Learning",
"Seq SG 2 SL",
"Sequence Proxies",
"Semantic Fragments",
"Brick Action Code Segments",
"BACS",
"Semantic Layout Evaluation Understudy",
"SLEU",
"Semantic Layout Prediction",
"Graph Convolution",
"Crucial Intermediate Task",
"Transformer Based Seq To Seq Model",
"Jaccard Index",
"Layout",
"Semantics",
"Task Analysis",
"Visualization",
"Measurement",
"Image Generation",
"Graphical Models"
],
"authors": [
{
"affiliation": "Alibaba AI Labs",
"fullName": "Boren Li",
"givenName": "Boren",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Alibaba AI Labs",
"fullName": "Boyu Zhuang",
"givenName": "Boyu",
"surname": "Zhuang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Alibaba A.I. Labs",
"fullName": "Mingyang Li",
"givenName": "Mingyang",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Alibaba AI Labs",
"fullName": "Jian Gu",
"givenName": "Jian",
"surname": "Gu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-10-01T00:00:00",
"pubType": "proceedings",
"pages": "7434-7442",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-4803-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "480300h424",
"articleId": "1hQqhuUL5i8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "480300h443",
"articleId": "1hVlBsEFbyw",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/occbio/2009/3685/0/3685a026",
"title": "xIP-seq Platform: An Integrative Framework for High-Throughput Sequencing Data Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/occbio/2009/3685a026/12OmNwNwzHF",
"parentPublication": {
"id": "proceedings/occbio/2009/3685/0",
"title": "Bioinformatics, 2009 Ohio Collaborative Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aswec/2010/4006/0/4006a067",
"title": "A Reduction of Grid-Bag Layout to Auckland Layout",
"doi": null,
"abstractUrl": "/proceedings-article/aswec/2010/4006a067/12OmNxGj9NT",
"parentPublication": {
"id": "proceedings/aswec/2010/4006/0",
"title": "Software Engineering Conference, Australian",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/1995/6910/0/69100232",
"title": "SEQ: A model for sequence databases",
"doi": null,
"abstractUrl": "/proceedings-article/icde/1995/69100232/12OmNxd4tlQ",
"parentPublication": {
"id": "proceedings/icde/1995/6910/0",
"title": "Proceedings of the Eleventh International Conference on Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1993/07/e0707",
"title": "Layout Appropriateness: A Metric for Evaluating User Interface Widget Layout",
"doi": null,
"abstractUrl": "/journal/ts/1993/07/e0707/13rRUxASuwR",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2018/6420/0/642000h986",
"title": "Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2018/642000h986/17D45VTRoCU",
"parentPublication": {
"id": "proceedings/cvpr/2018/6420/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2018/3788/0/08546278",
"title": "Indoor Scene Layout Estimation from a Single Image",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2018/08546278/17D45XvMcb4",
"parentPublication": {
"id": "proceedings/icpr/2018/3788/0",
"title": "2018 24th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2023/03/09794591",
"title": "Semantic Layout Manipulation With High-Resolution Sparse Attention",
"doi": null,
"abstractUrl": "/journal/tp/2023/03/09794591/1Eb14834UiQ",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600c426",
"title": "Aesthetic Text Logo Synthesis via Content-aware Layout Inferring",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600c426/1H1hPvHfvNe",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2020/6553/0/09093519",
"title": "Mono Lay out: Amodal scene layout from a single image",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2020/09093519/1jPblbvdOlW",
"parentPublication": {
"id": "proceedings/wacv/2020/6553/0",
"title": "2020 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2021/4509/0/450900d731",
"title": "LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2021/450900d731/1yeKJqXSUh2",
"parentPublication": {
"id": "proceedings/cvpr/2021/4509/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1yeHGyRsuys",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"acronym": "cvpr",
"groupId": "1000147",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1yeKJqXSUh2",
"doi": "10.1109/CVPR46437.2021.00373",
"title": "LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity",
"normalizedTitle": "LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity",
"abstract": "When translating text inputs into layouts or images, existing works typically require explicit descriptions of each object in a scene, including their spatial information or the associated relationships. To better exploit the text input, so that implicit objects or relationships can be properly inferred during layout generation, we propose a LayoutTransformer Network (LT-Net) in this paper. Given a scene-graph input, our LT-Net uniquely encodes the semantic features for exploiting their co-occurrences and implicit relationships. This allows one to manipulate conceptually diverse yet plausible layout outputs. Moreover, the decoder of our LT-Net translates the encoded contextual features into bounding boxes with self-supervised relation consistency preserved. By fitting their distributions to Gaussian mixture models, spatially-diverse layouts can be additionally produced by LT-Net. We conduct extensive experiments on the datasets of MS-COCO and Visual Genome, and confirm the effectiveness and plausibility of our LT-Net over recent layout generation models. Codes will be released at LayoutTransformer.",
"abstracts": [
{
"abstractType": "Regular",
"content": "When translating text inputs into layouts or images, existing works typically require explicit descriptions of each object in a scene, including their spatial information or the associated relationships. To better exploit the text input, so that implicit objects or relationships can be properly inferred during layout generation, we propose a LayoutTransformer Network (LT-Net) in this paper. Given a scene-graph input, our LT-Net uniquely encodes the semantic features for exploiting their co-occurrences and implicit relationships. This allows one to manipulate conceptually diverse yet plausible layout outputs. Moreover, the decoder of our LT-Net translates the encoded contextual features into bounding boxes with self-supervised relation consistency preserved. By fitting their distributions to Gaussian mixture models, spatially-diverse layouts can be additionally produced by LT-Net. We conduct extensive experiments on the datasets of MS-COCO and Visual Genome, and confirm the effectiveness and plausibility of our LT-Net over recent layout generation models. Codes will be released at LayoutTransformer.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "When translating text inputs into layouts or images, existing works typically require explicit descriptions of each object in a scene, including their spatial information or the associated relationships. To better exploit the text input, so that implicit objects or relationships can be properly inferred during layout generation, we propose a LayoutTransformer Network (LT-Net) in this paper. Given a scene-graph input, our LT-Net uniquely encodes the semantic features for exploiting their co-occurrences and implicit relationships. This allows one to manipulate conceptually diverse yet plausible layout outputs. Moreover, the decoder of our LT-Net translates the encoded contextual features into bounding boxes with self-supervised relation consistency preserved. By fitting their distributions to Gaussian mixture models, spatially-diverse layouts can be additionally produced by LT-Net. We conduct extensive experiments on the datasets of MS-COCO and Visual Genome, and confirm the effectiveness and plausibility of our LT-Net over recent layout generation models. Codes will be released at LayoutTransformer.",
"fno": "450900d731",
"keywords": [
"Data Visualisation",
"Feature Extraction",
"Gaussian Processes",
"Graph Theory",
"Image Processing",
"Text Analysis",
"Spatial Diversity",
"Translating Text",
"Explicit Descriptions",
"Spatial Information",
"Associated Relationships",
"Text Input",
"Implicit Objects",
"Scene Graph Input",
"Implicit Relationships",
"Plausible Layout Outputs",
"LT Net Translates",
"Encoded Contextual Features",
"Spatially Diverse Layouts",
"Layout Generation Models",
"Layout Transformer Network",
"Visualization",
"Computer Vision",
"Spatial Diversity",
"Layout",
"Semantics",
"Fitting",
"Genomics"
],
"authors": [
{
"affiliation": "National Taiwan University,Graduate Institute of Communication Engineering,Taiwan",
"fullName": "Cheng-Fu Yang",
"givenName": "Cheng-Fu",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "National Taiwan University,Graduate Institute of Communication Engineering,Taiwan",
"fullName": "Wan-Cyuan Fan",
"givenName": "Wan-Cyuan",
"surname": "Fan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "National Taiwan University,Graduate Institute of Communication Engineering,Taiwan",
"fullName": "Fu-En Yang",
"givenName": "Fu-En",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "National Taiwan University,Graduate Institute of Communication Engineering,Taiwan",
"fullName": "Yu-Chiang Frank Wang",
"givenName": "Yu-Chiang Frank",
"surname": "Wang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-06-01T00:00:00",
"pubType": "proceedings",
"pages": "3731-3740",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-4509-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1yeKJmZdueY",
"name": "pcvpr202145090-09578321s1-mm_450900d731.zip",
"size": "3.84 MB",
"location": "https://www.computer.org/csdl/api/v1/extra/pcvpr202145090-09578321s1-mm_450900d731.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "450900d721",
"articleId": "1yeKjbSjlao",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "450900d741",
"articleId": "1yeIPaNGMNy",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ictai/2010/4263/2/4263b032",
"title": "Using Cellular Automata Pedestrian Flow Statistics with Heuristic Search to Automatically Design Spatial Layout",
"doi": null,
"abstractUrl": "/proceedings-article/ictai/2010/4263b032/12OmNBp52tg",
"parentPublication": {
"id": "proceedings/ictai/2010/4263/2",
"title": "2010 22nd IEEE International Conference on Tools with Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cad-graphics/2015/8020/0/07450427",
"title": "Facade Layout Symmetrization",
"doi": null,
"abstractUrl": "/proceedings-article/cad-graphics/2015/07450427/12OmNviHKiH",
"parentPublication": {
"id": "proceedings/cad-graphics/2015/8020/0",
"title": "2015 14th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dac/1985/0635/0/01585916",
"title": "Auto-interactive Schematics to Layout Translation",
"doi": null,
"abstractUrl": "/proceedings-article/dac/1985/01585916/12OmNylsZML",
"parentPublication": {
"id": "proceedings/dac/1985/0635/0",
"title": "22nd ACM/IEEE Design Automation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200a984",
"title": "LayoutTransformer: Layout Generation and Completion with Self-attention",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200a984/1BmF1IskDcs",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600h773",
"title": "Interactive Image Synthesis with Panoptic Layout Generation",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600h773/1H1mlrOB1Wo",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300j894",
"title": "LayoutVAE: Stochastic Scene Layout Generation From a Label Set",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300j894/1hQqjMNDJny",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300b262",
"title": "Layout-Induced Video Representation for Recognizing Agent-in-Place Actions",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300b262/1hQqkMnK9Zm",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/12/09128027",
"title": "Motion Planning for Convertible Indoor Scene Layout Design",
"doi": null,
"abstractUrl": "/journal/tg/2021/12/09128027/1l3unTAaNuE",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800d753",
"title": "End-to-End Optimization of Scene Layout",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800d753/1m3ooUhHlVC",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2021/4509/0/450900n3637",
"title": "Variational Transformer Networks for Layout Generation",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2021/450900n3637/1yeHYPqFSQo",
"parentPublication": {
"id": "proceedings/cvpr/2021/4509/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqMPfSd",
"title": "Proceedings IEEE 2002 Symposia on Human Centric Computing Languages and Environments",
"acronym": "hcc",
"groupId": "1000339",
"volume": "0",
"displayVolume": "0",
"year": "2002",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNqFJhX2",
"doi": "10.1109/HCC.2002.1046348",
"title": "Assertions in End-User Software Engineering: A Think-Aloud Study",
"normalizedTitle": "Assertions in End-User Software Engineering: A Think-Aloud Study",
"abstract": "There has been little research on end-user program development beyond the programming phase. Devising ways to address additional phases may be critical, because research shows that over one-half of the programs written by end users, at least in the widely used spreadsheet paradigm, contain errors. In this paper, we investigate whether providing end users with integrated support for requirement specifications in the form of assertions can help them reason about, recognize, and remove errors in their spreadsheets. Our think-aloud study revealed that end users can indeed use assertions to find and correct errors as they work with their spreadsheets, and also revealed some surprising tendencies and biases about testing.",
"abstracts": [
{
"abstractType": "Regular",
"content": "There has been little research on end-user program development beyond the programming phase. Devising ways to address additional phases may be critical, because research shows that over one-half of the programs written by end users, at least in the widely used spreadsheet paradigm, contain errors. In this paper, we investigate whether providing end users with integrated support for requirement specifications in the form of assertions can help them reason about, recognize, and remove errors in their spreadsheets. Our think-aloud study revealed that end users can indeed use assertions to find and correct errors as they work with their spreadsheets, and also revealed some surprising tendencies and biases about testing.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "There has been little research on end-user program development beyond the programming phase. Devising ways to address additional phases may be critical, because research shows that over one-half of the programs written by end users, at least in the widely used spreadsheet paradigm, contain errors. In this paper, we investigate whether providing end users with integrated support for requirement specifications in the form of assertions can help them reason about, recognize, and remove errors in their spreadsheets. Our think-aloud study revealed that end users can indeed use assertions to find and correct errors as they work with their spreadsheets, and also revealed some surprising tendencies and biases about testing.",
"fno": "16440063",
"keywords": [],
"authors": [
{
"affiliation": "Oregon State University",
"fullName": "Christine Wallace",
"givenName": "Christine",
"surname": "Wallace",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Oregon State University",
"fullName": "Curtis Cook",
"givenName": "Curtis",
"surname": "Cook",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Oregon State University",
"fullName": "Jay Summet",
"givenName": "Jay",
"surname": "Summet",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Oregon State University",
"fullName": "Margaret Burnett",
"givenName": "Margaret",
"surname": "Burnett",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "hcc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2002-09-01T00:00:00",
"pubType": "proceedings",
"pages": "63",
"year": "2002",
"issn": null,
"isbn": "0-7695-1644-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "16440060",
"articleId": "12OmNBJw9Uo",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "16440068",
"articleId": "12OmNyv7mc1",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icdcs/2018/6871/0/687101b571",
"title": "Shared Access to Spreadsheet Elements for End User Programming",
"doi": null,
"abstractUrl": "/proceedings-article/icdcs/2018/687101b571/12OmNAgY7pK",
"parentPublication": {
"id": "proceedings/icdcs/2018/6871/0",
"title": "2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/issrew/2014/7377/0/7377a257",
"title": "Debugging with Dynamic Temporal Assertions",
"doi": null,
"abstractUrl": "/proceedings-article/issrew/2014/7377a257/12OmNqBbHR7",
"parentPublication": {
"id": "proceedings/issrew/2014/7377/0",
"title": "2014 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vlhcc/2016/0252/0/07739682",
"title": "Potential financial motivations for end-user programming",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2016/07739682/12OmNrJRP6d",
"parentPublication": {
"id": "proceedings/vlhcc/2016/0252/0",
"title": "2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2003/1877/0/18770093",
"title": "End-User Software Engineering with Assertions in the Spreadsheet Paradigm",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2003/18770093/12OmNvAAtm7",
"parentPublication": {
"id": "proceedings/icse/2003/1877/0",
"title": "Software Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hcc/2002/1644/0/16440104",
"title": "Error Detection Support in a Cellular Modeling End-User Programming Environment",
"doi": null,
"abstractUrl": "/proceedings-article/hcc/2002/16440104/12OmNwIHoCR",
"parentPublication": {
"id": "proceedings/hcc/2002/1644/0",
"title": "Proceedings IEEE 2002 Symposia on Human Centric Computing Languages and Environments",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acssc/1977/9999/0/00748932",
"title": "Executable Assertions - An Aid To Reliable Software",
"doi": null,
"abstractUrl": "/proceedings-article/acssc/1977/00748932/12OmNyGbIhH",
"parentPublication": {
"id": "proceedings/acssc/1977/9999/0",
"title": "1977 11th Asilomar Conference on Circuits, Systems and Computers, 1977. Conference Record.",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vlhcc/2007/2987/0/29870215",
"title": "A Type System Based on End-User Vocabulary",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2007/29870215/12OmNz3bdKJ",
"parentPublication": {
"id": "proceedings/vlhcc/2007/2987/0",
"title": "2007 IEEE Symposium on Visual Languages and Human-Centric Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vlhcc/2006/2586/0/25860220",
"title": "Multiple Structure Analysis To Support Multi-Level User Feedback",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2006/25860220/12OmNzwZ6oO",
"parentPublication": {
"id": "proceedings/vlhcc/2006/2586/0",
"title": "IEEE Symposium on Visual Languages and Human-Centric Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/sc/2008/04/tsc2008040229",
"title": "End-User Service Computing: Spreadsheets as a Service Composition Tool",
"doi": null,
"abstractUrl": "/journal/sc/2008/04/tsc2008040229/13rRUygBwbX",
"parentPublication": {
"id": "trans/sc",
"title": "IEEE Transactions on Services Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/qsic/2006/2718/0/04032263",
"title": "Helping End-User Programmers \"Engineer' Dependable Software",
"doi": null,
"abstractUrl": "/proceedings-article/qsic/2006/04032263/17D45WwsQ6U",
"parentPublication": {
"id": "proceedings/qsic/2006/2718/0",
"title": "Proceedings of the 6th International Conference on Quality Software",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqFJhOF",
"title": "2005 IEEE International Professional Communication Conference (IPCC)",
"acronym": "ipcc",
"groupId": "1000591",
"volume": "0",
"displayVolume": "0",
"year": "2005",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNqNos9s",
"doi": "10.1109/IPCC.2005.1494192",
"title": "Analyzing the interaction between facilitator and participants in two variants of the think-aloud method",
"normalizedTitle": "Analyzing the interaction between facilitator and participants in two variants of the think-aloud method",
"abstract": "This paper focuses on the interaction between test participants and test facilitator in two variants of the think-aloud method. In a first, explorative study, we analyzed think-aloud transcripts from two usability tests: a concurrent think-aloud test and a constructive interaction test. The results of our analysis show that while the participants in both studies never explicitly addressed the facilitator, the think-aloud participants showed more signs of awareness of the facilitator than the participants in the constructive interaction test. This finding may have practical implications for the validity of the two methods.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper focuses on the interaction between test participants and test facilitator in two variants of the think-aloud method. In a first, explorative study, we analyzed think-aloud transcripts from two usability tests: a concurrent think-aloud test and a constructive interaction test. The results of our analysis show that while the participants in both studies never explicitly addressed the facilitator, the think-aloud participants showed more signs of awareness of the facilitator than the participants in the constructive interaction test. This finding may have practical implications for the validity of the two methods.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper focuses on the interaction between test participants and test facilitator in two variants of the think-aloud method. In a first, explorative study, we analyzed think-aloud transcripts from two usability tests: a concurrent think-aloud test and a constructive interaction test. The results of our analysis show that while the participants in both studies never explicitly addressed the facilitator, the think-aloud participants showed more signs of awareness of the facilitator than the participants in the constructive interaction test. This finding may have practical implications for the validity of the two methods.",
"fno": "01494192",
"keywords": [
"Conservation Analysis",
"Test Participant",
"Test Facilitator",
"Think Aloud Method",
"Usability Test",
"Constructive Interaction Test"
],
"authors": [
{
"affiliation": "Twente Univ., Enschede, Netherlands",
"fullName": "M.J. van den Haak",
"givenName": "M.J.",
"surname": "van den Haak",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Twente Univ., Enschede, Netherlands",
"fullName": "M.D.T. de Jong",
"givenName": "M.D.T.",
"surname": "de Jong",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ipcc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2005-07-01T00:00:00",
"pubType": "proceedings",
"pages": "323-327",
"year": "2005",
"issn": null,
"isbn": "0-7803-9027-X",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "01494191",
"articleId": "12OmNz6iO6S",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "01494193",
"articleId": "12OmNwNeYtS",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iiai-aai/2016/8985/0/8985a991",
"title": "Evaluating Explanation Function in Railway Crew Rescheduling System by Think-Aloud Test",
"doi": null,
"abstractUrl": "/proceedings-article/iiai-aai/2016/8985a991/12OmNAo45ND",
"parentPublication": {
"id": "proceedings/iiai-aai/2016/8985/0",
"title": "2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hcc/2002/1644/0/16440063",
"title": "Assertions in End-User Software Engineering: A Think-Aloud Study",
"doi": null,
"abstractUrl": "/proceedings-article/hcc/2002/16440063/12OmNqFJhX2",
"parentPublication": {
"id": "proceedings/hcc/2002/1644/0",
"title": "Proceedings IEEE 2002 Symposia on Human Centric Computing Languages and Environments",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipcc/2005/9027/0/01494236",
"title": "Using eye tracking to address limitations in think-aloud protocol",
"doi": null,
"abstractUrl": "/proceedings-article/ipcc/2005/01494236/12OmNzUPpAh",
"parentPublication": {
"id": "proceedings/ipcc/2005/9027/0",
"title": "2005 IEEE International Professional Communication Conference (IPCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2012/1353/0/06462475",
"title": "Work in progress: Audio reflections provide evidence of metacognition during students' problem solving attempts",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2012/06462475/12OmNzmclYB",
"parentPublication": {
"id": "proceedings/fie/2012/1353/0",
"title": "2012 Frontiers in Education Conference Proceedings",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2006/2602/0/26020310",
"title": "Evaluating a Geovisualization Prototype with Two Approaches: Remote Instructional vs. Face-to-Face Exploratory",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2006/26020310/12OmNzy7uRX",
"parentPublication": {
"id": "proceedings/iv/2006/2602/0",
"title": "Tenth International Conference on Information Visualisation (IV'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2022/6244/0/09962750",
"title": "Improving engineering students’ problem-solving skills through think-aloud exercises",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2022/09962750/1IHnBWIc9RC",
"parentPublication": {
"id": "proceedings/fie/2022/6244/0",
"title": "2022 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/conisoft/2022/6126/0/612600a168",
"title": "Using Think Aloud for Eliciting Requirements for a Reading Comprehension Software Tool",
"doi": null,
"abstractUrl": "/proceedings-article/conisoft/2022/612600a168/1LFLw98OgyQ",
"parentPublication": {
"id": "proceedings/conisoft/2022/6126/0",
"title": "2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2019/1746/0/09028567",
"title": "Engineering Ph.D. Students’ Research Experiences: A Think-Aloud Study",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2019/09028567/1iffvltOibK",
"parentPublication": {
"id": "proceedings/fie/2019/1746/0",
"title": "2019 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2020/5382/0/09374373",
"title": "Informing the Design of e-Learning Lessons on Data Science through Think-Aloud Experiments with Healthcare Professionals",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2020/09374373/1rUJ2K2bLKo",
"parentPublication": {
"id": "proceedings/ichi/2020/5382/0",
"title": "2020 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552211",
"title": "CoUX: Collaborative Visual Analysis of Think-Aloud Usability Test Videos for Digital Interfaces",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552211/1xic1bREyqY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNBEGYGg",
"title": "2010 Second International Conference on Computer Engineering and Applications (ICCEA 2010)",
"acronym": "iccea",
"groupId": "1040032",
"volume": "1",
"displayVolume": "1",
"year": "2010",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxEBzjY",
"doi": "10.1109/ICCEA.2010.95",
"title": "Why Thinking Aloud Matters for Usability Evaluation?",
"normalizedTitle": "Why Thinking Aloud Matters for Usability Evaluation?",
"abstract": "Computer applications should be enjoyable to use, do useful things and enhance the lives of people who use them. In the days of the web, issues of usability are critical to computer application such as e-commerce. Usability is re-defined as trade-off between increasing the user's motivation to encourage exploration and purchasing in e-commerce, and the costs of usability errors. This study reports on methodology applying expert-based and think-aloud methods in the laboratory setting. Usability evaluation of two airlines websites was carried out to study user performance and to investigate the websites' conformance with ISO standards. Subjects comprised actual users who had experience using the online booking applications. Despite having results indicated that usability evaluation not only reliable in rating a computer application that is enjoyable and usable; it discovered design elements that manipulate users to make mistakes.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Computer applications should be enjoyable to use, do useful things and enhance the lives of people who use them. In the days of the web, issues of usability are critical to computer application such as e-commerce. Usability is re-defined as trade-off between increasing the user's motivation to encourage exploration and purchasing in e-commerce, and the costs of usability errors. This study reports on methodology applying expert-based and think-aloud methods in the laboratory setting. Usability evaluation of two airlines websites was carried out to study user performance and to investigate the websites' conformance with ISO standards. Subjects comprised actual users who had experience using the online booking applications. Despite having results indicated that usability evaluation not only reliable in rating a computer application that is enjoyable and usable; it discovered design elements that manipulate users to make mistakes.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Computer applications should be enjoyable to use, do useful things and enhance the lives of people who use them. In the days of the web, issues of usability are critical to computer application such as e-commerce. Usability is re-defined as trade-off between increasing the user's motivation to encourage exploration and purchasing in e-commerce, and the costs of usability errors. This study reports on methodology applying expert-based and think-aloud methods in the laboratory setting. Usability evaluation of two airlines websites was carried out to study user performance and to investigate the websites' conformance with ISO standards. Subjects comprised actual users who had experience using the online booking applications. Despite having results indicated that usability evaluation not only reliable in rating a computer application that is enjoyable and usable; it discovered design elements that manipulate users to make mistakes.",
"fno": "05445788",
"keywords": [
"Electronic Commerce",
"User Interfaces",
"Usability Evaluation",
"E Commerce",
"Expert Based Methods",
"Think Aloud Methods",
"ISO Standards",
"Online Booking Applications",
"Usability",
"User Interfaces",
"Computer Applications",
"Application Software",
"ISO Standards",
"Ergonomics",
"Web Page Design",
"Costs",
"Hardware",
"Guidelines",
"Usability",
"User Interface",
"HCI",
"ISO Standard",
"Malaysia"
],
"authors": [
{
"affiliation": null,
"fullName": "Esmadi Abu Abu Seman",
"givenName": "Esmadi Abu Abu",
"surname": "Seman",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Idyawati Hussein",
"givenName": "Idyawati",
"surname": "Hussein",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Murni Mahmud",
"givenName": "Murni",
"surname": "Mahmud",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccea",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2010-03-01T00:00:00",
"pubType": "proceedings",
"pages": "",
"year": "2010",
"issn": null,
"isbn": "978-1-4244-6079-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "05445787",
"articleId": "12OmNrkT7xN",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "05445785",
"articleId": "12OmNxVV5Yt",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icctd/2009/3892/1/3892a277",
"title": "Interface Design Issues to Enhance Usability of E-commerce Websites and Systems",
"doi": null,
"abstractUrl": "/proceedings-article/icctd/2009/3892a277/12OmNAoDieu",
"parentPublication": {
"id": "proceedings/icctd/2009/3892/1",
"title": "2009 International Conference on Computer Technology and Development (ICCTD 2009)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/quatic/2012/4777/0/4777a299",
"title": "Modelling Websites Navigation Elements According to Usability Aspects",
"doi": null,
"abstractUrl": "/proceedings-article/quatic/2012/4777a299/12OmNB0nWdV",
"parentPublication": {
"id": "proceedings/quatic/2012/4777/0",
"title": "2012 Eighth International Conference on the Quality of Information and Communications Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icebe/2007/3003/0/30030396",
"title": "Measuring Website Usability of Chinese Enterprise with a Heuristic Procedure",
"doi": null,
"abstractUrl": "/proceedings-article/icebe/2007/30030396/12OmNBkxson",
"parentPublication": {
"id": "proceedings/icebe/2007/3003/0",
"title": "IEEE International Conference on e-Business Engineering (ICEBE'07)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmb/2009/3691/0/3691a215",
"title": "An Empirical Study of M-Commerce Adoption from Usability Perspective",
"doi": null,
"abstractUrl": "/proceedings-article/icmb/2009/3691a215/12OmNqAU6EQ",
"parentPublication": {
"id": "proceedings/icmb/2009/3691/0",
"title": "2009 Eighth International Conference on Mobile Business, ICMB",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmc/2009/3501/3/3501c309",
"title": "From Usability to Adoption - A New M-commerce Adoption Study Framework",
"doi": null,
"abstractUrl": "/proceedings-article/cmc/2009/3501c309/12OmNqGRGfF",
"parentPublication": {
"id": "proceedings/cmc/2009/3501/3",
"title": "2009 WRI International Conference on Communications and Mobile Computing. CMC 2009",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichit/2006/2674/1/04021098",
"title": "Usability Assessment for Hyperlink Methods",
"doi": null,
"abstractUrl": "/proceedings-article/ichit/2006/04021098/12OmNvjyxOf",
"parentPublication": {
"id": "proceedings/ichit/2006/2674/1",
"title": "2006 International Conference on Hybrid Information Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2008/3075/0/04438737",
"title": "Online Services, Customer Characteristics and Usability Requirements",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2008/04438737/12OmNvkple8",
"parentPublication": {
"id": "proceedings/hicss/2008/3075/0",
"title": "Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icitcs/2015/6537/0/07293034",
"title": "User Satisfaction and Website Usability: Exploring the Linkages in B2C E-Commerce Context",
"doi": null,
"abstractUrl": "/proceedings-article/icitcs/2015/07293034/12OmNvvLi73",
"parentPublication": {
"id": "proceedings/icitcs/2015/6537/0",
"title": "2015 5th International Conference on IT Convergence and Security (ICITCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sbcars/2015/9630/0/9630a080",
"title": "Usability and Software Architecture: A Literature Review",
"doi": null,
"abstractUrl": "/proceedings-article/sbcars/2015/9630a080/12OmNyeECvb",
"parentPublication": {
"id": "proceedings/sbcars/2015/9630/0",
"title": "2015 IX Brazilian Symposium on Components, Architectures and Reuse Software (SBCARS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2016/9036/0/9036a140",
"title": "Usability Evaluation of Published Clinical Guidelines on the Web: A Case Study",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2016/9036a140/12OmNzcxYZh",
"parentPublication": {
"id": "proceedings/cbms/2016/9036/0",
"title": "2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqFJhOF",
"title": "2005 IEEE International Professional Communication Conference (IPCC)",
"acronym": "ipcc",
"groupId": "1000591",
"volume": "0",
"displayVolume": "0",
"year": "2005",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzUPpAh",
"doi": "10.1109/IPCC.2005.1494236",
"title": "Using eye tracking to address limitations in think-aloud protocol",
"normalizedTitle": "Using eye tracking to address limitations in think-aloud protocol",
"abstract": "This paper presents preliminary findings from an eyetracking study that investigates the validity of responses provided by participants who have been instructed to use think-aloud protocol during a Website usability study. Ten participants were given four information-finding scenarios to perform on the Washington State Department of Licensing website and they were instructed to think aloud. While performing these tasks, an eyetracking system determined where on the screen the subjects looked. Videotapes of the sessions containing the participant's computer screen, mouse and eye movements, and verbalizations were analyzed to determine the degree validity offered think-aloud protocol. Initial findings suggest that some subtle cues indicating participants' expectations of information and link location, and their confidence in link names may be lost when using think-aloud protocol and observation alone.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper presents preliminary findings from an eyetracking study that investigates the validity of responses provided by participants who have been instructed to use think-aloud protocol during a Website usability study. Ten participants were given four information-finding scenarios to perform on the Washington State Department of Licensing website and they were instructed to think aloud. While performing these tasks, an eyetracking system determined where on the screen the subjects looked. Videotapes of the sessions containing the participant's computer screen, mouse and eye movements, and verbalizations were analyzed to determine the degree validity offered think-aloud protocol. Initial findings suggest that some subtle cues indicating participants' expectations of information and link location, and their confidence in link names may be lost when using think-aloud protocol and observation alone.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper presents preliminary findings from an eyetracking study that investigates the validity of responses provided by participants who have been instructed to use think-aloud protocol during a Website usability study. Ten participants were given four information-finding scenarios to perform on the Washington State Department of Licensing website and they were instructed to think aloud. While performing these tasks, an eyetracking system determined where on the screen the subjects looked. Videotapes of the sessions containing the participant's computer screen, mouse and eye movements, and verbalizations were analyzed to determine the degree validity offered think-aloud protocol. Initial findings suggest that some subtle cues indicating participants' expectations of information and link location, and their confidence in link names may be lost when using think-aloud protocol and observation alone.",
"fno": "01494236",
"keywords": [
"Verbalization",
"Eye Tracking",
"Think Aloud Protocol",
"Website Usability Study",
"Information Finding Scenarios",
"Videotape",
"Participants Computer Screen",
"Mouse",
"Eye Movement"
],
"authors": [
{
"affiliation": "North Texas Univ., Denton, TX, USA",
"fullName": "L. Cooke",
"givenName": "L.",
"surname": "Cooke",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "E. Cuddihy",
"givenName": "E.",
"surname": "Cuddihy",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ipcc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2005-07-01T00:00:00",
"pubType": "proceedings",
"pages": "653-658",
"year": "2005",
"issn": null,
"isbn": "0-7803-9027-X",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "01494235",
"articleId": "12OmNBubOOX",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "01494237",
"articleId": "12OmNBTs7xT",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/hcc/2002/1644/0/16440063",
"title": "Assertions in End-User Software Engineering: A Think-Aloud Study",
"doi": null,
"abstractUrl": "/proceedings-article/hcc/2002/16440063/12OmNqFJhX2",
"parentPublication": {
"id": "proceedings/hcc/2002/1644/0",
"title": "Proceedings IEEE 2002 Symposia on Human Centric Computing Languages and Environments",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipcc/2005/9027/0/01494192",
"title": "Analyzing the interaction between facilitator and participants in two variants of the think-aloud method",
"doi": null,
"abstractUrl": "/proceedings-article/ipcc/2005/01494192/12OmNqNos9s",
"parentPublication": {
"id": "proceedings/ipcc/2005/9027/0",
"title": "2005 IEEE International Professional Communication Conference (IPCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wkdd/2009/3543/0/3543a872",
"title": "Impasse-Driven Learning in the Context of Video Games in Chinese Players",
"doi": null,
"abstractUrl": "/proceedings-article/wkdd/2009/3543a872/12OmNxwENK5",
"parentPublication": {
"id": "proceedings/wkdd/2009/3543/0",
"title": "2009 Second International Workshop on Knowledge Discovery and Data Mining. WKDD 2009",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2012/1353/0/06462475",
"title": "Work in progress: Audio reflections provide evidence of metacognition during students' problem solving attempts",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2012/06462475/12OmNzmclYB",
"parentPublication": {
"id": "proceedings/fie/2012/1353/0",
"title": "2012 Frontiers in Education Conference Proceedings",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2006/2602/0/26020310",
"title": "Evaluating a Geovisualization Prototype with Two Approaches: Remote Instructional vs. Face-to-Face Exploratory",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2006/26020310/12OmNzy7uRX",
"parentPublication": {
"id": "proceedings/iv/2006/2602/0",
"title": "Tenth International Conference on Information Visualisation (IV'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2022/6244/0/09962750",
"title": "Improving engineering students’ problem-solving skills through think-aloud exercises",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2022/09962750/1IHnBWIc9RC",
"parentPublication": {
"id": "proceedings/fie/2022/6244/0",
"title": "2022 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/conisoft/2022/6126/0/612600a168",
"title": "Using Think Aloud for Eliciting Requirements for a Reading Comprehension Software Tool",
"doi": null,
"abstractUrl": "/proceedings-article/conisoft/2022/612600a168/1LFLw98OgyQ",
"parentPublication": {
"id": "proceedings/conisoft/2022/6126/0",
"title": "2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2019/1746/0/09028567",
"title": "Engineering Ph.D. Students’ Research Experiences: A Think-Aloud Study",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2019/09028567/1iffvltOibK",
"parentPublication": {
"id": "proceedings/fie/2019/1746/0",
"title": "2019 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2020/5382/0/09374373",
"title": "Informing the Design of e-Learning Lessons on Data Science through Think-Aloud Experiments with Healthcare Professionals",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2020/09374373/1rUJ2K2bLKo",
"parentPublication": {
"id": "proceedings/ichi/2020/5382/0",
"title": "2020 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552211",
"title": "CoUX: Collaborative Visual Analysis of Think-Aloud Usability Test Videos for Digital Interfaces",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552211/1xic1bREyqY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "14tNJlStZmx",
"title": "2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)",
"acronym": "vs-games",
"groupId": "1002788",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "14tNJndEsts",
"doi": "10.1109/VS-Games.2018.8493446",
"title": "Using Think-Aloud Protocol in Looking at the Framing of One's Character with a Case Study on Terraria",
"normalizedTitle": "Using Think-Aloud Protocol in Looking at the Framing of One's Character with a Case Study on Terraria",
"abstract": "How does a player interpret what occurs in a digital game? Fine explains that a player makes interpretations based on three levels of consciousness: as a character in a virtual game world, as a player who is playing the game, and as a person who is living in the real world. This study attempts to examine what happens in Terraria based on Fine's three-layered model and discuss the implications of Fine's model in digital games. The think-aloud method and interviews were used to look at how players interpret what is happening during the gameplay and to discuss the relationship between in-game characters and players from different aspects, such as role-playing and self-playing, empathy, and prosocial behaviors.",
"abstracts": [
{
"abstractType": "Regular",
"content": "How does a player interpret what occurs in a digital game? Fine explains that a player makes interpretations based on three levels of consciousness: as a character in a virtual game world, as a player who is playing the game, and as a person who is living in the real world. This study attempts to examine what happens in Terraria based on Fine's three-layered model and discuss the implications of Fine's model in digital games. The think-aloud method and interviews were used to look at how players interpret what is happening during the gameplay and to discuss the relationship between in-game characters and players from different aspects, such as role-playing and self-playing, empathy, and prosocial behaviors.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "How does a player interpret what occurs in a digital game? Fine explains that a player makes interpretations based on three levels of consciousness: as a character in a virtual game world, as a player who is playing the game, and as a person who is living in the real world. This study attempts to examine what happens in Terraria based on Fine's three-layered model and discuss the implications of Fine's model in digital games. The think-aloud method and interviews were used to look at how players interpret what is happening during the gameplay and to discuss the relationship between in-game characters and players from different aspects, such as role-playing and self-playing, empathy, and prosocial behaviors.",
"fno": "08493446",
"keywords": [
"Games",
"Interviews",
"Protocols",
"Media",
"Tools",
"Cognition",
"Information Services"
],
"authors": [
{
"affiliation": null,
"fullName": "Ji Soo Lim",
"givenName": "Ji Soo",
"surname": "Lim",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vs-games",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-09-01T00:00:00",
"pubType": "proceedings",
"pages": "1-4",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-7123-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08493445",
"articleId": "14tNJmB30ME",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08493447",
"articleId": "14tNJndEstr",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/re/2014/3031/0/06912242",
"title": "How practitioners approach gameplay requirements? An exploration into the context of massive multiplayer online role-playing games",
"doi": null,
"abstractUrl": "/proceedings-article/re/2014/06912242/12OmNAoDhVI",
"parentPublication": {
"id": "proceedings/re/2014/3031/0",
"title": "2014 IEEE 22nd International Requirements Engineering Conference (RE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2011/348/0/06012095",
"title": "Mobile mixed reality games creator based on MPEG-4 BIFS",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2011/06012095/12OmNBpVQ37",
"parentPublication": {
"id": "proceedings/icme/2011/348/0",
"title": "2011 IEEE International Conference on Multimedia and Expo",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sustainit/2017/99/0/08379794",
"title": "The energy piggy bank — A serious game for energy conservation",
"doi": null,
"abstractUrl": "/proceedings-article/sustainit/2017/08379794/12OmNBuL1mt",
"parentPublication": {
"id": "proceedings/sustainit/2017/99/0",
"title": "2017 Sustainable Internet and ICT for Sustainability (SustainIT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2014/4038/0/4038a213",
"title": "A Serious Game for Training Patient-Centered Medical Interviews",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2014/4038a213/12OmNyOHG2c",
"parentPublication": {
"id": "proceedings/icalt/2014/4038/0",
"title": "2014 IEEE 14th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisis/2012/4687/0/4687a001",
"title": "Experience Generation in Tic-Tac-Toe for General Game Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cisis/2012/4687a001/12OmNzBOhMF",
"parentPublication": {
"id": "proceedings/cisis/2012/4687/0",
"title": "2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ci/2015/03/07055252",
"title": "An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games",
"doi": null,
"abstractUrl": "/journal/ci/2015/03/07055252/13rRUwbs25q",
"parentPublication": {
"id": "trans/ci",
"title": "IEEE Transactions on Computational Intelligence and AI in Games",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ci/2012/04/06243194",
"title": "Introducing individual and social learning into evolutionary checkers",
"doi": null,
"abstractUrl": "/journal/ci/2012/04/06243194/13rRUynZ5ql",
"parentPublication": {
"id": "trans/ci",
"title": "IEEE Transactions on Computational Intelligence and AI in Games",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ism/2018/6857/0/685700a247",
"title": "Player Types in Mobile Learning Games – Playing Patterns and Motivation",
"doi": null,
"abstractUrl": "/proceedings-article/ism/2018/685700a247/17D45WK5Ala",
"parentPublication": {
"id": "proceedings/ism/2018/6857/0",
"title": "2018 IEEE International Symposium on Multimedia (ISM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vs-games/2019/4540/0/08864532",
"title": "Addressing Spatio-Temporal Geogame Relocation Issues Using Design Evaluation Heuristics and Agent-based Simulation",
"doi": null,
"abstractUrl": "/proceedings-article/vs-games/2019/08864532/1e5ZqQhIACc",
"parentPublication": {
"id": "proceedings/vs-games/2019/4540/0",
"title": "2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/tcs/2021/2910/0/291000a440",
"title": "Invisible Rules in Video Game NBA 2K : Procedural Rhetoric Analysis In A Potential Physical Education Tool",
"doi": null,
"abstractUrl": "/proceedings-article/tcs/2021/291000a440/1wRIfgdHCxO",
"parentPublication": {
"id": "proceedings/tcs/2021/2910/0",
"title": "2021 International Conference on Information Technology and Contemporary Sports (TCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1IHnB5FtCQ8",
"title": "2022 IEEE Frontiers in Education Conference (FIE)",
"acronym": "fie",
"groupId": "1000297",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1IHnBWIc9RC",
"doi": "10.1109/FIE56618.2022.9962750",
"title": "Improving engineering students’ problem-solving skills through think-aloud exercises",
"normalizedTitle": "Improving engineering students’ problem-solving skills through think-aloud exercises",
"abstract": "This paper presents an innovative approach to improve engineering students’ problem-solving skills by implementing think-aloud exercises. Sometimes engineering students claim they do not know where to start with the problem-solving process, or they are not sure how to proceed to the next steps when they get stuck. A systematic training that focuses on the problem-solving process and the justification of each step could help. Think-aloud techniques help make the invisible mental processes visible to learners. Engineering think-aloud technique engages students and helps them make their way through a solving process step-by-step, reasoning along with them. In this study, a multiple faceted systematic approach that integrates think-aloud exercises through video assignments and oral exams were developed and implemented in two pilot engineering classes. We present our think-aloud exercises and oral exams structures in each of the courses and their impacts on students' learning outcomes, and students’ perceptions towards the pedagogical approach. Both quantitative and qualitative results show that the think-aloud exercise assignments and oral exams enhance students’ problem-solving skills and promote learning.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper presents an innovative approach to improve engineering students’ problem-solving skills by implementing think-aloud exercises. Sometimes engineering students claim they do not know where to start with the problem-solving process, or they are not sure how to proceed to the next steps when they get stuck. A systematic training that focuses on the problem-solving process and the justification of each step could help. Think-aloud techniques help make the invisible mental processes visible to learners. Engineering think-aloud technique engages students and helps them make their way through a solving process step-by-step, reasoning along with them. In this study, a multiple faceted systematic approach that integrates think-aloud exercises through video assignments and oral exams were developed and implemented in two pilot engineering classes. We present our think-aloud exercises and oral exams structures in each of the courses and their impacts on students' learning outcomes, and students’ perceptions towards the pedagogical approach. Both quantitative and qualitative results show that the think-aloud exercise assignments and oral exams enhance students’ problem-solving skills and promote learning.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper presents an innovative approach to improve engineering students’ problem-solving skills by implementing think-aloud exercises. Sometimes engineering students claim they do not know where to start with the problem-solving process, or they are not sure how to proceed to the next steps when they get stuck. A systematic training that focuses on the problem-solving process and the justification of each step could help. Think-aloud techniques help make the invisible mental processes visible to learners. Engineering think-aloud technique engages students and helps them make their way through a solving process step-by-step, reasoning along with them. In this study, a multiple faceted systematic approach that integrates think-aloud exercises through video assignments and oral exams were developed and implemented in two pilot engineering classes. We present our think-aloud exercises and oral exams structures in each of the courses and their impacts on students' learning outcomes, and students’ perceptions towards the pedagogical approach. Both quantitative and qualitative results show that the think-aloud exercise assignments and oral exams enhance students’ problem-solving skills and promote learning.",
"fno": "09962750",
"keywords": [
"Computer Aided Instruction",
"Educational Courses",
"Engineering Education",
"Interactive Systems",
"Engineering Classes",
"Engineering Student Problem Solving Skills",
"Invisible Mental Processes",
"Oral Exams",
"Problem Solving Process",
"Student Learning Outcomes",
"Student Perceptions",
"Systematic Training",
"Think Aloud Exercises",
"Video Assignments",
"Training",
"Systematics",
"Cognition",
"Problem Solving",
"Engineering Students",
"Think Aloud Technique",
"Video Assignment",
"Oral Exams",
"Engineering Education"
],
"authors": [
{
"affiliation": "University of California,San Diego – La Jolla,CA,USA",
"fullName": "Huihui Qi",
"givenName": "Huihui",
"surname": "Qi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of California,San Diego – La Jolla,CA,USA",
"fullName": "Alex Phan",
"givenName": "Alex",
"surname": "Phan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of California,San Diego – La Jolla,CA,USA",
"fullName": "He Liu",
"givenName": "He",
"surname": "Liu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of California,San Diego – La Jolla,CA,USA",
"fullName": "Marko Lubarda",
"givenName": "Marko",
"surname": "Lubarda",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of California,San Diego – La Jolla,CA,USA",
"fullName": "Maziar Ghazinejad",
"givenName": "Maziar",
"surname": "Ghazinejad",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of California,San Diego – La Jolla,CA,USA",
"fullName": "Xuan Gedney",
"givenName": "Xuan",
"surname": "Gedney",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of California,San Diego – La Jolla,CA,USA",
"fullName": "Rufu Gong",
"givenName": "Rufu",
"surname": "Gong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of California,San Diego – La Jolla,CA,USA",
"fullName": "Haojin Chen",
"givenName": "Haojin",
"surname": "Chen",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "fie",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-10-01T00:00:00",
"pubType": "proceedings",
"pages": "1-6",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-6244-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09962746",
"articleId": "1IHoa56fAnm",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09962472",
"articleId": "1IHnRmRZObC",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fie/2016/1790/0/07757593",
"title": "Exploring the role of spatial cognition in problem solving",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2016/07757593/12OmNAnuTDC",
"parentPublication": {
"id": "proceedings/fie/2016/1790/0",
"title": "2016 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2016/1790/0/07757594",
"title": "Abstraction and problem solving in an undergraduate electrical engineering circuits course",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2016/07757594/12OmNBqMDha",
"parentPublication": {
"id": "proceedings/fie/2016/1790/0",
"title": "2016 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipcc/2005/9027/0/01494192",
"title": "Analyzing the interaction between facilitator and participants in two variants of the think-aloud method",
"doi": null,
"abstractUrl": "/proceedings-article/ipcc/2005/01494192/12OmNqNos9s",
"parentPublication": {
"id": "proceedings/ipcc/2005/9027/0",
"title": "2005 IEEE International Professional Communication Conference (IPCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipcc/2005/9027/0/01494236",
"title": "Using eye tracking to address limitations in think-aloud protocol",
"doi": null,
"abstractUrl": "/proceedings-article/ipcc/2005/01494236/12OmNzUPpAh",
"parentPublication": {
"id": "proceedings/ipcc/2005/9027/0",
"title": "2005 IEEE International Professional Communication Conference (IPCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csci/2016/5510/0/07881352",
"title": "Let There Be Hope: Assessing the Implications of Exam Re-Taking on Student Learning Outcomes and Grades of Engineering Students Grounded on Metacognition Awareness Framework",
"doi": null,
"abstractUrl": "/proceedings-article/csci/2016/07881352/12OmNzb7Zpo",
"parentPublication": {
"id": "proceedings/csci/2016/5510/0",
"title": "2016 International Conference on Computational Science and Computational Intelligence (CSCI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2012/1353/0/06462475",
"title": "Work in progress: Audio reflections provide evidence of metacognition during students' problem solving attempts",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2012/06462475/12OmNzmclYB",
"parentPublication": {
"id": "proceedings/fie/2012/1353/0",
"title": "2012 Frontiers in Education Conference Proceedings",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ic3/2018/6834/0/08530663",
"title": "Importance of Non-Technical Skills for Employment Opportunities: A Gap Analysis of Students and Employers Perception Importance of Non-Technical Skills",
"doi": null,
"abstractUrl": "/proceedings-article/ic3/2018/08530663/17D45VObpQL",
"parentPublication": {
"id": "proceedings/ic3/2018/6834/0",
"title": "2018 Eleventh International Conference on Contemporary Computing (IC3)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/conisoft/2022/6126/0/612600a168",
"title": "Using Think Aloud for Eliciting Requirements for a Reading Comprehension Software Tool",
"doi": null,
"abstractUrl": "/proceedings-article/conisoft/2022/612600a168/1LFLw98OgyQ",
"parentPublication": {
"id": "proceedings/conisoft/2022/6126/0",
"title": "2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2019/1746/0/09028567",
"title": "Engineering Ph.D. Students’ Research Experiences: A Think-Aloud Study",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2019/09028567/1iffvltOibK",
"parentPublication": {
"id": "proceedings/fie/2019/1746/0",
"title": "2019 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552211",
"title": "CoUX: Collaborative Visual Analysis of Think-Aloud Usability Test Videos for Digital Interfaces",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552211/1xic1bREyqY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1LFLu5QhCSY",
"title": "2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT)",
"acronym": "conisoft",
"groupId": "10066532",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1LFLw98OgyQ",
"doi": "10.1109/CONISOFT55708.2022.00030",
"title": "Using Think Aloud for Eliciting Requirements for a Reading Comprehension Software Tool",
"normalizedTitle": "Using Think Aloud for Eliciting Requirements for a Reading Comprehension Software Tool",
"abstract": "Reading Comprehension of Technical and Scientific texts in English is a very important skill for Engineering Students in countries where English it is not the first language. Reading comprehension is a cognitive process and therefore data collection about this process is a challenge. Think-aloud is a technique that has been used in the past to collect data of cognitive processes by asking participants to verbalise their thinking while executing the task of interest. The aim of this work is to evaluate the use of think aloud as a requirement gathering technique for understanding the reading comprehension cognitive process of technical and scientific texts, focusing on understanding the workflow of activities that Engineering students follow, the challenges they face, and the way information technologies can assist this process. Eleven engineering students participated in an experimental session that was designed to collect data using smartpens, computers with built-in cameras, and video screen-capture. Preliminary results are presented in this paper.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Reading Comprehension of Technical and Scientific texts in English is a very important skill for Engineering Students in countries where English it is not the first language. Reading comprehension is a cognitive process and therefore data collection about this process is a challenge. Think-aloud is a technique that has been used in the past to collect data of cognitive processes by asking participants to verbalise their thinking while executing the task of interest. The aim of this work is to evaluate the use of think aloud as a requirement gathering technique for understanding the reading comprehension cognitive process of technical and scientific texts, focusing on understanding the workflow of activities that Engineering students follow, the challenges they face, and the way information technologies can assist this process. Eleven engineering students participated in an experimental session that was designed to collect data using smartpens, computers with built-in cameras, and video screen-capture. Preliminary results are presented in this paper.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Reading Comprehension of Technical and Scientific texts in English is a very important skill for Engineering Students in countries where English it is not the first language. Reading comprehension is a cognitive process and therefore data collection about this process is a challenge. Think-aloud is a technique that has been used in the past to collect data of cognitive processes by asking participants to verbalise their thinking while executing the task of interest. The aim of this work is to evaluate the use of think aloud as a requirement gathering technique for understanding the reading comprehension cognitive process of technical and scientific texts, focusing on understanding the workflow of activities that Engineering students follow, the challenges they face, and the way information technologies can assist this process. Eleven engineering students participated in an experimental session that was designed to collect data using smartpens, computers with built-in cameras, and video screen-capture. Preliminary results are presented in this paper.",
"fno": "612600a168",
"keywords": [
"Cognition",
"Computer Aided Instruction",
"Software Tools",
"Data Collection",
"Engineering Students",
"English",
"Important Skill",
"Reading Comprehension Cognitive Process",
"Reading Comprehension Software Tool",
"Requirement Gathering Technique",
"Scientific Texts",
"Technical Texts",
"Think Aloud",
"Thinking",
"Technological Innovation",
"Cognitive Processes",
"Focusing",
"Data Collection",
"Engineering Students",
"Information Technology",
"Task Analysis",
"Component",
"Requirement Elicitation",
"Think Aloud",
"Smartpen"
],
"authors": [
{
"affiliation": "Universidad de Guanajuato,Departmento de Estudios Multidisciplinarios,Yuriria,Guanajuato,Mexico",
"fullName": "Maria Susana Avila-Garcia",
"givenName": "Maria Susana",
"surname": "Avila-Garcia",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Universidad de Guanajuato,Departmento de Estudios Multidisciplinarios,Yuriria,Guanajuato,Mexico",
"fullName": "Marco Bianchetti",
"givenName": "Marco",
"surname": "Bianchetti",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Universidad de Guanajuato,Departmento de Estudios Multidisciplinarios,Yuriria,Guanajuato,Mexico",
"fullName": "Maria Isabel Vazquez-De-la-Rosa",
"givenName": "Maria Isabel",
"surname": "Vazquez-De-la-Rosa",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Universidad de Guanajuato,Departmento de Estudios Multidisciplinarios,Yuriria,Guanajuato,Mexico",
"fullName": "Juan Carlos Avilés-Díaz",
"givenName": "Juan Carlos",
"surname": "Avilés-Díaz",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Universidad de Guanajuato,Departmento de Estudios Multidisciplinarios,Yuriria,Guanajuato,Mexico",
"fullName": "Erick Franco-Gaona",
"givenName": "Erick",
"surname": "Franco-Gaona",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Universidad de Guanajuato,Departmento de Estudios Multidisciplinarios,Yuriria,Guanajuato,Mexico",
"fullName": "Joel Tapia-Flores",
"givenName": "Joel",
"surname": "Tapia-Flores",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "conisoft",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-10-01T00:00:00",
"pubType": "proceedings",
"pages": "168-173",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-6126-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "612600a158",
"articleId": "1LFLvA92uhG",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "612600a174",
"articleId": "1LFLxc5PsU8",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icpc/2008/3176/0/3176a224",
"title": "Checklist Inspections and Modifications: Applying Bloom's Taxonomy to Categorise Developer Comprehension",
"doi": null,
"abstractUrl": "/proceedings-article/icpc/2008/3176a224/12OmNBd9T5e",
"parentPublication": {
"id": "proceedings/icpc/2008/3176/0",
"title": "International Conference on Program Comprehension",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipcc/2005/9027/0/01494192",
"title": "Analyzing the interaction between facilitator and participants in two variants of the think-aloud method",
"doi": null,
"abstractUrl": "/proceedings-article/ipcc/2005/01494192/12OmNqNos9s",
"parentPublication": {
"id": "proceedings/ipcc/2005/9027/0",
"title": "2005 IEEE International Professional Communication Conference (IPCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsc/2018/4408/0/440801a049",
"title": "Constructing Semantic Networks of Comprehension from Eye-Movement During Reading",
"doi": null,
"abstractUrl": "/proceedings-article/icsc/2018/440801a049/12OmNxETaba",
"parentPublication": {
"id": "proceedings/icsc/2018/4408/0",
"title": "2018 IEEE 12th International Conference on Semantic Computing (ICSC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aswec/2007/2778/0/27780233",
"title": "Obstacles to Comprehension in Usage Based Reading",
"doi": null,
"abstractUrl": "/proceedings-article/aswec/2007/27780233/12OmNyuy9W5",
"parentPublication": {
"id": "proceedings/aswec/2007/2778/0",
"title": "Software Engineering Conference, Australian",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipcc/2005/9027/0/01494236",
"title": "Using eye tracking to address limitations in think-aloud protocol",
"doi": null,
"abstractUrl": "/proceedings-article/ipcc/2005/01494236/12OmNzUPpAh",
"parentPublication": {
"id": "proceedings/ipcc/2005/9027/0",
"title": "2005 IEEE International Professional Communication Conference (IPCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iiai-aai/2018/7447/0/744701a209",
"title": "Study of Manga Reading Comprehension and Teaching Methods for Manga Reading",
"doi": null,
"abstractUrl": "/proceedings-article/iiai-aai/2018/744701a209/19m3HTyQ7gA",
"parentPublication": {
"id": "proceedings/iiai-aai/2018/7447/0",
"title": "2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iiai-aai/2022/9755/0/975500a260",
"title": "A Proposal of Programming Learning System with Reading Aloud \"ONDOKU\"",
"doi": null,
"abstractUrl": "/proceedings-article/iiai-aai/2022/975500a260/1GU6SCUGFa0",
"parentPublication": {
"id": "proceedings/iiai-aai/2022/9755/0",
"title": "2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2022/6244/0/09962750",
"title": "Improving engineering students’ problem-solving skills through think-aloud exercises",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2022/09962750/1IHnBWIc9RC",
"parentPublication": {
"id": "proceedings/fie/2022/6244/0",
"title": "2022 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iiai-aai/2020/7397/0/739700a199",
"title": "The Effects of Sharing SOAR Study Note on English Reading Comprehension",
"doi": null,
"abstractUrl": "/proceedings-article/iiai-aai/2020/739700a199/1tGcwXlApEs",
"parentPublication": {
"id": "proceedings/iiai-aai/2020/7397/0",
"title": "2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552211",
"title": "CoUX: Collaborative Visual Analysis of Think-Aloud Usability Test Videos for Digital Interfaces",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552211/1xic1bREyqY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1iff6Mv34Wc",
"title": "2019 IEEE Frontiers in Education Conference (FIE)",
"acronym": "fie",
"groupId": "1000297",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1iffvltOibK",
"doi": "10.1109/FIE43999.2019.9028567",
"title": "Engineering Ph.D. Students’ Research Experiences: A Think-Aloud Study",
"normalizedTitle": "Engineering Ph.D. Students’ Research Experiences: A Think-Aloud Study",
"abstract": "This Research Work in Progress Paper describes the initial development and validation for using a new assessment instrument to understand how the research experiences of engineering Ph.D. students shape them as future professionals. Little is understood about how engineering Ph.D. students are prepared for professional practice through their research experiences, yet this is of growing concern to the engineering education community. This paper describes how assessment items were developed and the collection of initial validity evidence through a structured think-aloud protocol where engineering Ph.D. students read and interpreted the items, verbalizing their thinking as they completed the assessment. Two rounds of think-alouds were completed with engineering Ph.D. students. The first round was conducted with seven students and resulted in modification of twenty-eight of the thirty assessment questions, including minor word changes to twenty-two questions and relatively major rewrites to six questions. The second round was conducted with five students and resulted in modification of twelve of the thirty assessment questions, with only minor word changes to the questions. The evidence collected shows that the vast majority of the assessment questions were understood as intended, and the assessment is ready for pilot data collection through a survey.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This Research Work in Progress Paper describes the initial development and validation for using a new assessment instrument to understand how the research experiences of engineering Ph.D. students shape them as future professionals. Little is understood about how engineering Ph.D. students are prepared for professional practice through their research experiences, yet this is of growing concern to the engineering education community. This paper describes how assessment items were developed and the collection of initial validity evidence through a structured think-aloud protocol where engineering Ph.D. students read and interpreted the items, verbalizing their thinking as they completed the assessment. Two rounds of think-alouds were completed with engineering Ph.D. students. The first round was conducted with seven students and resulted in modification of twenty-eight of the thirty assessment questions, including minor word changes to twenty-two questions and relatively major rewrites to six questions. The second round was conducted with five students and resulted in modification of twelve of the thirty assessment questions, with only minor word changes to the questions. The evidence collected shows that the vast majority of the assessment questions were understood as intended, and the assessment is ready for pilot data collection through a survey.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This Research Work in Progress Paper describes the initial development and validation for using a new assessment instrument to understand how the research experiences of engineering Ph.D. students shape them as future professionals. Little is understood about how engineering Ph.D. students are prepared for professional practice through their research experiences, yet this is of growing concern to the engineering education community. This paper describes how assessment items were developed and the collection of initial validity evidence through a structured think-aloud protocol where engineering Ph.D. students read and interpreted the items, verbalizing their thinking as they completed the assessment. Two rounds of think-alouds were completed with engineering Ph.D. students. The first round was conducted with seven students and resulted in modification of twenty-eight of the thirty assessment questions, including minor word changes to twenty-two questions and relatively major rewrites to six questions. The second round was conducted with five students and resulted in modification of twelve of the thirty assessment questions, with only minor word changes to the questions. The evidence collected shows that the vast majority of the assessment questions were understood as intended, and the assessment is ready for pilot data collection through a survey.",
"fno": "09028567",
"keywords": [
"Computer Aided Instruction",
"Educational Courses",
"Engineering Education",
"Think Aloud Study",
"Engineering Education Community",
"Thirty Assessment Questions",
"Engineering Ph D Students Research Experiences",
"Structured Think Aloud Protocol",
"Engineering Education",
"Instruments",
"Europe",
"Protocols",
"Task Analysis",
"Medical Services",
"Ph D Students",
"Think Aloud",
"Research Experiences",
"Professional Practice"
],
"authors": [
{
"affiliation": "Purdue University,School of Engineering Education",
"fullName": "Eric A. Holloway",
"givenName": "Eric A.",
"surname": "Holloway",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Purdue University,School of Engineering Education",
"fullName": "Kerrie A. Douglas",
"givenName": "Kerrie A.",
"surname": "Douglas",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Purdue University,School of Engineering Education",
"fullName": "David Radcliffe",
"givenName": "David",
"surname": "Radcliffe",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "fie",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-10-01T00:00:00",
"pubType": "proceedings",
"pages": "1-4",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-1746-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09028487",
"articleId": "1iffhN9cvzW",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09028652",
"articleId": "1iff72LzS5q",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fie/2016/1790/0/07757405",
"title": "Investigating current approaches to assessing teaching evaluation in engineering departments",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2016/07757405/12OmNBr4erE",
"parentPublication": {
"id": "proceedings/fie/2016/1790/0",
"title": "2016 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2013/5261/0/06684907",
"title": "Recommendations for engineering doctoral education: Design of an instrument to evaluate change",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2013/06684907/12OmNxd4tvx",
"parentPublication": {
"id": "proceedings/fie/2013/5261/0",
"title": "2013 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2015/8454/0/07344217",
"title": "Engineering Ph.D. students' career preferences: Levels, changes, and the role of advisors",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2015/07344217/12OmNxzuMEJ",
"parentPublication": {
"id": "proceedings/fie/2015/8454/0",
"title": "2015 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2001/6669/2/00963655",
"title": "Multimedia teaching modules in the engineering K-Ph.D. program at Duke University",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2001/00963655/12OmNy5R3yI",
"parentPublication": {
"id": "proceedings/fie/2001/6669/2",
"title": "31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2015/8454/0/07344355",
"title": "Examining how international experiences promote global competency among engineering graduate students",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2015/07344355/12OmNyKa60o",
"parentPublication": {
"id": "proceedings/fie/2015/8454/0",
"title": "2015 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2018/1174/0/08658664",
"title": "The Dissertation Institute : Evaluation of a Doctoral Student Writing Workshop",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2018/08658664/18j90NiYNQ4",
"parentPublication": {
"id": "proceedings/fie/2018/1174/0",
"title": "2018 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2022/6244/0/09962750",
"title": "Improving engineering students’ problem-solving skills through think-aloud exercises",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2022/09962750/1IHnBWIc9RC",
"parentPublication": {
"id": "proceedings/fie/2022/6244/0",
"title": "2022 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2022/6244/0/09962661",
"title": "How ‘Returner’ and ‘Direct-Pathway’ Graduate Students’ Experiences May Lead to Attrition from Doctoral Programs",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2022/09962661/1IHok9H9jH2",
"parentPublication": {
"id": "proceedings/fie/2022/6244/0",
"title": "2022 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2020/8961/0/09274185",
"title": "Engineering Faculty’s Mindset and The Impact on Instructional Practices",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2020/09274185/1phRCkYg58Y",
"parentPublication": {
"id": "proceedings/fie/2020/8961/0",
"title": "2020 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2020/8961/0/09274164",
"title": "Co-constructing Engineering Doctoral Identities Through Career Prospects",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2020/09274164/1phRPMHgH3G",
"parentPublication": {
"id": "proceedings/fie/2020/8961/0",
"title": "2020 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1z7dIEx3vt6",
"title": "2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)",
"acronym": "icis-fall",
"groupId": "1844164",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1z7dLTPd7nG",
"doi": "10.1109/ICISFall51598.2021.9627365",
"title": "Assessing Computational Thinking Pedagogy in Serious Games Through Questionnaires, Think-aloud Testing, and Automated Data Logging",
"normalizedTitle": "Assessing Computational Thinking Pedagogy in Serious Games Through Questionnaires, Think-aloud Testing, and Automated Data Logging",
"abstract": "Computational thinking is an important skill for solving complex problems, including processes such as decomposition, pattern recognition, abstraction, and algorithmic design. Game-based learning has recently seen an increase in prevalence for teaching computational thinking, making games an important topic of study. However, there is currently no validated tool for assessing Computational Thinking (CT) that performs reliably across disciplines and age groups. In the absence of such a tool, this paper examines several software testing methods for the evaluation of CT pedagogy effectiveness within serious games. Namely, it makes recommendations for the application of standardized questionnaires, think-aloud testing, and automated data logging for evaluating games that promote CT learning. It concludes with a potential use case to demonstrate how the methods can be combined to achieve a granular and actionable understanding of a complex CT assessment problem and its causes.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Computational thinking is an important skill for solving complex problems, including processes such as decomposition, pattern recognition, abstraction, and algorithmic design. Game-based learning has recently seen an increase in prevalence for teaching computational thinking, making games an important topic of study. However, there is currently no validated tool for assessing Computational Thinking (CT) that performs reliably across disciplines and age groups. In the absence of such a tool, this paper examines several software testing methods for the evaluation of CT pedagogy effectiveness within serious games. Namely, it makes recommendations for the application of standardized questionnaires, think-aloud testing, and automated data logging for evaluating games that promote CT learning. It concludes with a potential use case to demonstrate how the methods can be combined to achieve a granular and actionable understanding of a complex CT assessment problem and its causes.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Computational thinking is an important skill for solving complex problems, including processes such as decomposition, pattern recognition, abstraction, and algorithmic design. Game-based learning has recently seen an increase in prevalence for teaching computational thinking, making games an important topic of study. However, there is currently no validated tool for assessing Computational Thinking (CT) that performs reliably across disciplines and age groups. In the absence of such a tool, this paper examines several software testing methods for the evaluation of CT pedagogy effectiveness within serious games. Namely, it makes recommendations for the application of standardized questionnaires, think-aloud testing, and automated data logging for evaluating games that promote CT learning. It concludes with a potential use case to demonstrate how the methods can be combined to achieve a granular and actionable understanding of a complex CT assessment problem and its causes.",
"fno": "09627365",
"keywords": [
"Computer Aided Instruction",
"Computer Based Training",
"Computer Games",
"Computerised Tomography",
"Human Computer Interaction",
"Learning Artificial Intelligence",
"Program Testing",
"Teaching",
"Complex CT Assessment Problem",
"Computational Thinking Pedagogy",
"Serious Games",
"Automated Data Logging",
"Important Skill",
"Game Based Learning",
"Software Testing Methods",
"CT Pedagogy Effectiveness",
"Think Aloud Testing",
"Software Testing",
"Information Science",
"Bibliographies",
"Education",
"Games",
"Manuals",
"Tools",
"Serious Games",
"Game",
"Gaming",
"Computational Thinking",
"Algorithmic Thinking",
"Test",
"Testing",
"Assessment",
"Development"
],
"authors": [
{
"affiliation": "Games and Emerging Media, Marist College,Poughkeepsie,NY,USA",
"fullName": "Joey R. Fanfarelli",
"givenName": "Joey R.",
"surname": "Fanfarelli",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icis-fall",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-10-01T00:00:00",
"pubType": "proceedings",
"pages": "149-152",
"year": "2021",
"issn": null,
"isbn": "978-1-7281-7679-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09627453",
"articleId": "1z7dRs3fwas",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09627376",
"articleId": "1z7dRzNOpnG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/vs-games/2018/7123/0/08493446",
"title": "Using Think-Aloud Protocol in Looking at the Framing of One's Character with a Case Study on Terraria",
"doi": null,
"abstractUrl": "/proceedings-article/vs-games/2018/08493446/14tNJndEsts",
"parentPublication": {
"id": "proceedings/vs-games/2018/7123/0",
"title": "2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/conisoft/2022/6126/0/612600a168",
"title": "Using Think Aloud for Eliciting Requirements for a Reading Comprehension Software Tool",
"doi": null,
"abstractUrl": "/proceedings-article/conisoft/2022/612600a168/1LFLw98OgyQ",
"parentPublication": {
"id": "proceedings/conisoft/2022/6126/0",
"title": "2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2019/3485/0/348500a386",
"title": "A Strategy for the Development of Computational Thinking from Game Design Specifications",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2019/348500a386/1cYi4IUFCUw",
"parentPublication": {
"id": "proceedings/icalt/2019/3485/2161-377X",
"title": "2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2019/1746/0/09028567",
"title": "Engineering Ph.D. Students’ Research Experiences: A Think-Aloud Study",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2019/09028567/1iffvltOibK",
"parentPublication": {
"id": "proceedings/fie/2019/1746/0",
"title": "2019 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2020/6090/0/09155816",
"title": "Engaging Estonian primary school children in computational thinking through adaptive educational games: A qualitative study",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2020/09155816/1m1j7qXWVGg",
"parentPublication": {
"id": "proceedings/icalt/2020/6090/0",
"title": "2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icvrv/2019/4752/0/09212993",
"title": "A Collaborative Game-Based Learning Framework to Improve Computational Thinking Skills",
"doi": null,
"abstractUrl": "/proceedings-article/icvrv/2019/09212993/1nHRUDZ2PjW",
"parentPublication": {
"id": "proceedings/icvrv/2019/4752/0",
"title": "2019 International Conference on Virtual Reality and Visualization (ICVRV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2020/8961/0/09274065",
"title": "Developing Computational Thinking and Reading and Writing Skills through an Approach for Creating Games",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2020/09274065/1phRzK0yW2I",
"parentPublication": {
"id": "proceedings/fie/2020/8961/0",
"title": "2020 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/eitt/2020/9171/0/917100a235",
"title": "Promoting Teaching Self-efficacy in Computational Thinking of School Teachers",
"doi": null,
"abstractUrl": "/proceedings-article/eitt/2020/917100a235/1qyxs83SDqo",
"parentPublication": {
"id": "proceedings/eitt/2020/9171/0",
"title": "2020 Ninth International Conference of Educational Innovation through Technology (EITT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2021/4106/0/410600a314",
"title": "Educational Digital Games and Computational Thinking for students with Intellectual Disabilities - Guidelines for accessibility",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2021/410600a314/1vK09Kgu1Xy",
"parentPublication": {
"id": "proceedings/icalt/2021/4106/0",
"title": "2021 International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552211",
"title": "CoUX: Collaborative Visual Analysis of Think-Aloud Usability Test Videos for Digital Interfaces",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552211/1xic1bREyqY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNBgQFLY",
"title": "Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium",
"acronym": "infvis",
"groupId": "1000371",
"volume": "0",
"displayVolume": "0",
"year": "1997",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNAtstaH",
"doi": "10.1109/INFVIS.1997.636794",
"title": "Metrics for effective information visualization",
"normalizedTitle": "Metrics for effective information visualization",
"abstract": "Metrics for information visualization will help designers create and evaluate 3D information visualizations. Based on experience from 60+ 3D information visualizations, the metrics we propose are: number of data points and data density; number of dimensions and cognitive overhead; occlusion percentage; and reference context and percentage of identifiable points.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Metrics for information visualization will help designers create and evaluate 3D information visualizations. Based on experience from 60+ 3D information visualizations, the metrics we propose are: number of data points and data density; number of dimensions and cognitive overhead; occlusion percentage; and reference context and percentage of identifiable points.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Metrics for information visualization will help designers create and evaluate 3D information visualizations. Based on experience from 60+ 3D information visualizations, the metrics we propose are: number of data points and data density; number of dimensions and cognitive overhead; occlusion percentage; and reference context and percentage of identifiable points.",
"fno": "00636794",
"keywords": [
"Data Visualization",
"Guidelines",
"Layout",
"Navigation",
"Graphics",
"Information Geometry",
"Testing",
"Three Dimensional Displays",
"Two Dimensional Displays",
"Multidimensional Systems"
],
"authors": [
{
"affiliation": "Visible Decision Inc., Toronto, Ont., Canada",
"fullName": "R. Brath",
"givenName": "R.",
"surname": "Brath",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "infvis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "1997-01-01T00:00:00",
"pubType": "proceedings",
"pages": "108-111",
"year": "1997",
"issn": null,
"isbn": "0-8186-8189-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "00636699",
"articleId": "12OmNwdbV1Y",
"__typename": "AdjacentArticleType"
},
"next": null,
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/nbis/2016/0979/0/0979a397",
"title": "3D Modeling of Reconstruction Plan at Sanriku Coast for Great East Japan Earthquake: Visualization of the Reconstruction Plan for Effective Information Sharing",
"doi": null,
"abstractUrl": "/proceedings-article/nbis/2016/0979a397/12OmNx6Piwh",
"parentPublication": {
"id": "proceedings/nbis/2016/0979/0",
"title": "2016 19th International Conference on Network-Based Information Systems (NBiS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3dvis/2014/6826/0/07160093",
"title": "The (possible) utility of stereoscopic 3D displays for information visualization: The good, the bad, and the ugly",
"doi": null,
"abstractUrl": "/proceedings-article/3dvis/2014/07160093/12OmNxWcHag",
"parentPublication": {
"id": "proceedings/3dvis/2014/6826/0",
"title": "2014 IEEE VIS International Workshop on 3DVis (3DVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/1997/8189/0/81890108",
"title": "Metrics for effective information visualization",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/1997/81890108/12OmNy2rS4U",
"parentPublication": {
"id": "proceedings/ieee-infovis/1997/8189/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/visap/2017/3490/0/08282371",
"title": "3D visualization of genetic networks using diverse art materials",
"doi": null,
"abstractUrl": "/proceedings-article/visap/2017/08282371/12OmNzkMlVO",
"parentPublication": {
"id": "proceedings/visap/2017/3490/0",
"title": "2017 IEEE VIS Arts Program (VISAP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440089",
"title": "Recirculation Surfaces for Flow Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440089/17D45Vw15xs",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/scivis/2018/6882/0/08823618",
"title": "3De Interactive Lenses for Visualization in Virtual Environments",
"doi": null,
"abstractUrl": "/proceedings-article/scivis/2018/08823618/1d5kwZvgfNm",
"parentPublication": {
"id": "proceedings/scivis/2018/6882/0",
"title": "2018 IEEE Scientific Visualization Conference (SciVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/1997/8189/0/00636794",
"title": "Metrics for effective information visualization",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/1997/00636794/1h0Jt1gK27m",
"parentPublication": {
"id": "proceedings/ieee-infovis/1997/8189/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800b797",
"title": "Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800b797/1m3onRq4x3y",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222313",
"title": "ShuttleSpace: Exploring and Analyzing Movement Trajectory in Immersive Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222313/1nTr29xEpkk",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2022/08/09355025",
"title": "Learning of 3D Graph Convolution Networks for Point Cloud Analysis",
"doi": null,
"abstractUrl": "/journal/tp/2022/08/09355025/1rgCbgC4Z8s",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNCmpcNk",
"title": "Visualization Conference, IEEE",
"acronym": "ieee-vis",
"groupId": "1000796",
"volume": "0",
"displayVolume": "0",
"year": "2005",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxwWoKu",
"doi": "10.1109/VIS.2005.108",
"title": "Understanding Visualization through Spatial Ability Differences",
"normalizedTitle": "Understanding Visualization through Spatial Ability Differences",
"abstract": "Little is known about the cognitive abilities which influence the comprehension of scientific and information visualizations and what properties of the visualization affect comprehension. Our goal in this paper is to understand what makes visualizations difficult. We address this goal by examining the spatial ability differences in a diverse population selected for spatial ability variance. For example, how is spatial ability related to visualization comprehension? What makes a particular visualization difficult or time intensive for specific groups of subjects? In this paper, we present the results of an experiment designed to answer these questions. Fifty-six subjects were tested on a basic visualization task and given standard paper tests of spatial abilities. An equal number of males and females were recruited in this study in order to increase spatial ability variance. Our results show that high spatial ability is correlated with accuracy on our three-dimensional visualization test, but not with time. High spatial ability subjects also had less difficulty with object complexity and the hidden properties of an object.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Little is known about the cognitive abilities which influence the comprehension of scientific and information visualizations and what properties of the visualization affect comprehension. Our goal in this paper is to understand what makes visualizations difficult. We address this goal by examining the spatial ability differences in a diverse population selected for spatial ability variance. For example, how is spatial ability related to visualization comprehension? What makes a particular visualization difficult or time intensive for specific groups of subjects? In this paper, we present the results of an experiment designed to answer these questions. Fifty-six subjects were tested on a basic visualization task and given standard paper tests of spatial abilities. An equal number of males and females were recruited in this study in order to increase spatial ability variance. Our results show that high spatial ability is correlated with accuracy on our three-dimensional visualization test, but not with time. High spatial ability subjects also had less difficulty with object complexity and the hidden properties of an object.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Little is known about the cognitive abilities which influence the comprehension of scientific and information visualizations and what properties of the visualization affect comprehension. Our goal in this paper is to understand what makes visualizations difficult. We address this goal by examining the spatial ability differences in a diverse population selected for spatial ability variance. For example, how is spatial ability related to visualization comprehension? What makes a particular visualization difficult or time intensive for specific groups of subjects? In this paper, we present the results of an experiment designed to answer these questions. Fifty-six subjects were tested on a basic visualization task and given standard paper tests of spatial abilities. An equal number of males and females were recruited in this study in order to increase spatial ability variance. Our results show that high spatial ability is correlated with accuracy on our three-dimensional visualization test, but not with time. High spatial ability subjects also had less difficulty with object complexity and the hidden properties of an object.",
"fno": "27660065",
"keywords": [
"Gender Differences",
"Orthogonal Projections",
"Spatial Ability",
"Standardized Testing"
],
"authors": [
{
"affiliation": "Rutgers, the State University of New Jersey",
"fullName": "Maria C. Velez",
"givenName": "Maria C.",
"surname": "Velez",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Rutgers, the State University of New Jersey",
"fullName": "Deborah Silver",
"givenName": "Deborah",
"surname": "Silver",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Rutgers, the State University of New Jersey",
"fullName": "Marilyn Tremaine",
"givenName": "Marilyn",
"surname": "Tremaine",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ieee-vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2005-10-01T00:00:00",
"pubType": "proceedings",
"pages": "65",
"year": "2005",
"issn": null,
"isbn": "0-7803-9462-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "01532849",
"articleId": "1h0EWYA48jC",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "01532850",
"articleId": "12OmNz6iOKT",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fie/2006/0256/0/04116893",
"title": "Teaching for Greater Inclusion: Searching for Talent as a Potentially Harmful Teaching Practice",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2006/04116893/12OmNBW0vze",
"parentPublication": {
"id": "proceedings/fie/2006/0256/0",
"title": "Proceedings. Frontiers in Education. 36th Annual Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2007/1083/0/04417943",
"title": "The effect of engineering major on spatial ability improvements over the course of undergraduate studies",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2007/04417943/12OmNrnJ6Ny",
"parentPublication": {
"id": "proceedings/fie/2007/1083/0",
"title": "2007 37th Annual Frontiers in Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2005/9077/0/01612216",
"title": "Assessing the self efficacy and spatial ability of engineering students from multiple disciplines",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2005/01612216/12OmNwsNRbk",
"parentPublication": {
"id": "proceedings/fie/2005/9077/0",
"title": "35th Annual Frontiers in Education",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2007/2828/0/04222599",
"title": "The Role of Experience and Ability in Comprehension Tasks Supported by UML Stereotypes",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2007/04222599/12OmNyQGSnK",
"parentPublication": {
"id": "proceedings/icse/2007/2828/0",
"title": "29th International Conference on Software Engineering (ICSE'07)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2005/2766/0/01532836",
"title": "Understanding visualization through spatial ability differences",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2005/01532836/12OmNzl3X0g",
"parentPublication": {
"id": "proceedings/ieee-vis/2005/2766/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsm/2006/2354/0/04021352",
"title": "Using Sex Differences to Link Spatial Cognition and Program Comprehension",
"doi": null,
"abstractUrl": "/proceedings-article/icsm/2006/04021352/141Anq5YjbE",
"parentPublication": {
"id": "proceedings/icsm/2006/2354/0",
"title": "2006 22nd IEEE International Conference on Software Maintenance",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/eitt/2021/2757/0/275700a100",
"title": "Promoting Junior School Students' Spatial Ability through 3D Printing",
"doi": null,
"abstractUrl": "/proceedings-article/eitt/2021/275700a100/1AFsvTfIbL2",
"parentPublication": {
"id": "proceedings/eitt/2021/2757/0",
"title": "2021 Tenth International Conference of Educational Innovation through Technology (EITT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2022/8402/0/840200a299",
"title": "Visualized Cues for Enhancing Spatial Ability Training in Virtual Reality",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2022/840200a299/1CJfbuK0Yfe",
"parentPublication": {
"id": "proceedings/vrw/2022/8402/0",
"title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904456",
"title": "Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904456/1H1gmktPnLa",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09572234",
"title": "Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09572234/1xH5FXdMnoA",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNx8wTfS",
"title": "2014 IEEE VIS International Workshop on 3DVis (3DVis)",
"acronym": "3dvis",
"groupId": "1807724",
"volume": "0",
"displayVolume": "0",
"year": "2014",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNy5hReS",
"doi": "10.1109/3DVis.2014.7160096",
"title": "3D InfoVis is here to stay: Deal with it",
"normalizedTitle": "3D InfoVis is here to stay: Deal with it",
"abstract": "3D information visualization has existed for more than 100 years. 3D offers intrinsic attributes such as an extra dimension for encoding position and length, meshes and surfaces; lighting and separation. Further 3D can aid mental models for configuration of data within a 3D spatial framework. Perceived issues with 3D are solvable and successful, specialized information visualizations can be built.",
"abstracts": [
{
"abstractType": "Regular",
"content": "3D information visualization has existed for more than 100 years. 3D offers intrinsic attributes such as an extra dimension for encoding position and length, meshes and surfaces; lighting and separation. Further 3D can aid mental models for configuration of data within a 3D spatial framework. Perceived issues with 3D are solvable and successful, specialized information visualizations can be built.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "3D information visualization has existed for more than 100 years. 3D offers intrinsic attributes such as an extra dimension for encoding position and length, meshes and surfaces; lighting and separation. Further 3D can aid mental models for configuration of data within a 3D spatial framework. Perceived issues with 3D are solvable and successful, specialized information visualizations can be built.",
"fno": "07160096",
"keywords": [
"Three Dimensional Displays",
"Data Visualization",
"Encoding",
"Navigation",
"Bars",
"Correlation",
"Visualization",
"3 D Information Visualization"
],
"authors": [
{
"affiliation": "Oculus Info Inc. and London South Bank University",
"fullName": "Richard Brath",
"givenName": "Richard",
"surname": "Brath",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "3dvis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2014-11-01T00:00:00",
"pubType": "proceedings",
"pages": "25-31",
"year": "2014",
"issn": null,
"isbn": "978-1-4799-6826-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07160095",
"articleId": "12OmNxwENmo",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07160097",
"articleId": "12OmNzQR1nf",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ismarw/2016/3740/0/07836504",
"title": "An Evaluation of Information Connection in Augmented Reality for 3D Scenes with Occlusion",
"doi": null,
"abstractUrl": "/proceedings-article/ismarw/2016/07836504/12OmNvSbBGA",
"parentPublication": {
"id": "proceedings/ismarw/2016/3740/0",
"title": "2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sitis/2017/4283/0/4283a283",
"title": "Mesh Visual Quality Assessment Metrics: A Comparison Study",
"doi": null,
"abstractUrl": "/proceedings-article/sitis/2017/4283a283/12OmNvsm6vq",
"parentPublication": {
"id": "proceedings/sitis/2017/4283/0",
"title": "2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2016/7258/0/07552939",
"title": "Efficient plenoptic imaging representation: Why do we need it?",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2016/07552939/12OmNzxgHs6",
"parentPublication": {
"id": "proceedings/icme/2016/7258/0",
"title": "2016 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/02/07862917",
"title": "The Subspace Voyager: Exploring High-Dimensional Data along a Continuum of Salient 3D Subspaces",
"doi": null,
"abstractUrl": "/journal/tg/2018/02/07862917/13rRUwInvsY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/05/v0941",
"title": "ClearView: An Interactive Context Preserving Hotspot Visualization Technique",
"doi": null,
"abstractUrl": "/journal/tg/2006/05/v0941/13rRUxD9h4Z",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sitis/2018/9385/0/938500a617",
"title": "Reduced Reference Mesh Visual Quality Assessment Based on Convolutional Neural Network",
"doi": null,
"abstractUrl": "/proceedings-article/sitis/2018/938500a617/19RSr15RlyE",
"parentPublication": {
"id": "proceedings/sitis/2018/9385/0",
"title": "2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600k0442",
"title": "Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600k0442/1H1mfxafm3C",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2022/9062/0/09956156",
"title": "Global Positional Self-Attention for Skeleton-Based Action Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2022/09956156/1IHpBycx3A4",
"parentPublication": {
"id": "proceedings/icpr/2022/9062/0",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08805448",
"title": "Illusion of Causality in Visualized Data",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08805448/1cG4Az22lFe",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sitis/2019/5686/0/568600a693",
"title": "Full Reference Mesh Visual Quality Assessment Using Pre-Trained Deep Network and Quality Indices",
"doi": null,
"abstractUrl": "/proceedings-article/sitis/2019/568600a693/1j9xD4pwAJW",
"parentPublication": {
"id": "proceedings/sitis/2019/5686/0",
"title": "2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNCf1Dph",
"title": "2014 27th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)",
"acronym": "sibgrapi",
"groupId": "1000131",
"volume": "0",
"displayVolume": "0",
"year": "2014",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNy7h3e0",
"doi": "10.1109/SIBGRAPI.2014.14",
"title": "A Nested Hierarchy of Localized Scatterplots",
"normalizedTitle": "A Nested Hierarchy of Localized Scatterplots",
"abstract": "The simplicity and visual clarity of scatterplots makes them one of the most widely-used visualization techniques for multivariate data. In complex data sets the important information can be hidden in subsets of the data, often obscured in the typical projections of the whole dataset. This paper presents a new interactive method to explore spatially distinct subsets of a dataset within a given projection. Precisely, we introduce a hierarchy of localized scatterplots as a novel visualization technique that allows to create scatterplots within scatterplots. The resulting visualization bears additional information that would otherwise be hidden within the data. To aid the useful interactive creation of such a hierarchy of localized scatterplots by a user we display transitions between scatterplots as animated rotations in 3D. We show the applicability of our visualization and exploration technique or different tasks, including cluster detection, classification, and comparative analyses. Additionally, we introduce a new exploration tool which we call the cross-dimensional semantic lens. Our hierarchy of localized scatterplots preserves the visual clarity and simplicity of scatterplots while providing additional and easily interpretable information about local subsets of the data.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The simplicity and visual clarity of scatterplots makes them one of the most widely-used visualization techniques for multivariate data. In complex data sets the important information can be hidden in subsets of the data, often obscured in the typical projections of the whole dataset. This paper presents a new interactive method to explore spatially distinct subsets of a dataset within a given projection. Precisely, we introduce a hierarchy of localized scatterplots as a novel visualization technique that allows to create scatterplots within scatterplots. The resulting visualization bears additional information that would otherwise be hidden within the data. To aid the useful interactive creation of such a hierarchy of localized scatterplots by a user we display transitions between scatterplots as animated rotations in 3D. We show the applicability of our visualization and exploration technique or different tasks, including cluster detection, classification, and comparative analyses. Additionally, we introduce a new exploration tool which we call the cross-dimensional semantic lens. Our hierarchy of localized scatterplots preserves the visual clarity and simplicity of scatterplots while providing additional and easily interpretable information about local subsets of the data.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The simplicity and visual clarity of scatterplots makes them one of the most widely-used visualization techniques for multivariate data. In complex data sets the important information can be hidden in subsets of the data, often obscured in the typical projections of the whole dataset. This paper presents a new interactive method to explore spatially distinct subsets of a dataset within a given projection. Precisely, we introduce a hierarchy of localized scatterplots as a novel visualization technique that allows to create scatterplots within scatterplots. The resulting visualization bears additional information that would otherwise be hidden within the data. To aid the useful interactive creation of such a hierarchy of localized scatterplots by a user we display transitions between scatterplots as animated rotations in 3D. We show the applicability of our visualization and exploration technique or different tasks, including cluster detection, classification, and comparative analyses. Additionally, we introduce a new exploration tool which we call the cross-dimensional semantic lens. Our hierarchy of localized scatterplots preserves the visual clarity and simplicity of scatterplots while providing additional and easily interpretable information about local subsets of the data.",
"fno": "4258a080",
"keywords": [
"Data Visualization",
"Visualization",
"Three Dimensional Displays",
"Semantics",
"Lenses",
"Standards",
"Two Dimensional Displays",
"Scatterplots",
"Data Visualization"
],
"authors": [
{
"affiliation": null,
"fullName": "Martin Eisemann",
"givenName": "Martin",
"surname": "Eisemann",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Georgia Albuquerque",
"givenName": "Georgia",
"surname": "Albuquerque",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Marcus Magnor",
"givenName": "Marcus",
"surname": "Magnor",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "sibgrapi",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2014-08-01T00:00:00",
"pubType": "proceedings",
"pages": "80-86",
"year": "2014",
"issn": "1530-1834",
"isbn": "978-1-4799-4258-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4258a073",
"articleId": "12OmNvpNIrU",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4258a087",
"articleId": "12OmNyvGyhN",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2017/0831/0/0831a078",
"title": "A Scatterplots Selection Technique for Multi-dimensional Data Visualization Combining with Parallel Coordinate Plots",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2017/0831a078/12OmNARRYtP",
"parentPublication": {
"id": "proceedings/iv/2017/0831/0",
"title": "2017 21st International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2018/3365/0/08447558",
"title": "Immersive Visualization of Abstract Information: An Evaluation on Dimensionally-Reduced Data Scatterplots",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2018/08447558/13bd1tMztYK",
"parentPublication": {
"id": "proceedings/vr/2018/3365/0",
"title": "2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/09/08047300",
"title": "Cluster-Based Visual Abstraction for Multivariate Scatterplots",
"doi": null,
"abstractUrl": "/journal/tg/2018/09/08047300/13rRUILLkvy",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440853",
"title": "Optimizing Color Assignment for Perception of Class Separability in Multiclass Scatterplots",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440853/17D45VTRoxJ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bdva/2018/9194/0/08533897",
"title": "LabelTransfer - Integrating Static and Dynamic Label Representation for Focus+Context Text Exploration",
"doi": null,
"abstractUrl": "/proceedings-article/bdva/2018/08533897/17D45WrVga1",
"parentPublication": {
"id": "proceedings/bdva/2018/9194/0",
"title": "2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09834145",
"title": "Visual Cue Effects on a Classification Accuracy Estimation Task in Immersive Scatterplots",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09834145/1FapOsLgEik",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08807244",
"title": "Data Sampling in Multi-view and Multi-class Scatterplots via Set Cover Optimization",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08807244/1cG6natfOKY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a062",
"title": "A Technique for Selection and Drawing of Scatterplots for Multi-Dimensional Data Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a062/1cMF8TTAeAw",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222098",
"title": "Embodied Navigation in Immersive Abstract Data Visualization: Is Overview+Detail or Zooming Better for 3D Scatterplots?",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222098/1nTrQ1hHyyA",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222253",
"title": "Uncertainty in Continuous Scatterplots, Continuous Parallel Coordinates, and Fibers",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222253/1nTrrxWmyqs",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNCmpcNk",
"title": "Visualization Conference, IEEE",
"acronym": "ieee-vis",
"groupId": "1000796",
"volume": "0",
"displayVolume": "0",
"year": "2005",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzl3X0g",
"doi": "10.1109/VISUAL.2005.1532836",
"title": "Understanding visualization through spatial ability differences",
"normalizedTitle": "Understanding visualization through spatial ability differences",
"abstract": "Little is known about the cognitive abilities which influence the comprehension of scientific and information visualizations and what properties of the visualization affect comprehension. Our goal in this paper is to understand what makes visualizations difficult. We address this goal by examining the spatial ability differences in a diverse population selected for spatial ability variance. For example, how is, spatial ability related to visualization comprehension? What makes a particular visualization difficult or time intensive for specific groups of subjects? In this paper, we present the results of an experiment designed to answer these questions. Fifty-six subjects were tested on a basic visualization task and given standard paper tests of spatial abilities. An equal number of males and females were recruited in this study in order to increase spatial ability variance. Our results show that high spatial ability is correlated with accuracy on our three-dimensional visualization test, but not with time. High spatial ability subjects also had less difficulty with object complexity and the hidden properties of an object.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Little is known about the cognitive abilities which influence the comprehension of scientific and information visualizations and what properties of the visualization affect comprehension. Our goal in this paper is to understand what makes visualizations difficult. We address this goal by examining the spatial ability differences in a diverse population selected for spatial ability variance. For example, how is, spatial ability related to visualization comprehension? What makes a particular visualization difficult or time intensive for specific groups of subjects? In this paper, we present the results of an experiment designed to answer these questions. Fifty-six subjects were tested on a basic visualization task and given standard paper tests of spatial abilities. An equal number of males and females were recruited in this study in order to increase spatial ability variance. Our results show that high spatial ability is correlated with accuracy on our three-dimensional visualization test, but not with time. High spatial ability subjects also had less difficulty with object complexity and the hidden properties of an object.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Little is known about the cognitive abilities which influence the comprehension of scientific and information visualizations and what properties of the visualization affect comprehension. Our goal in this paper is to understand what makes visualizations difficult. We address this goal by examining the spatial ability differences in a diverse population selected for spatial ability variance. For example, how is, spatial ability related to visualization comprehension? What makes a particular visualization difficult or time intensive for specific groups of subjects? In this paper, we present the results of an experiment designed to answer these questions. Fifty-six subjects were tested on a basic visualization task and given standard paper tests of spatial abilities. An equal number of males and females were recruited in this study in order to increase spatial ability variance. Our results show that high spatial ability is correlated with accuracy on our three-dimensional visualization test, but not with time. High spatial ability subjects also had less difficulty with object complexity and the hidden properties of an object.",
"fno": "01532836",
"keywords": [
"Cognition",
"Data Visualisation",
"Solid Modelling",
"Gender Issues",
"Cognitive Ability",
"Scientific Visualization",
"Information Visualization",
"Spatial Ability Variance",
"Gender Difference",
"Orthogonal Projection",
"Standardized Testing",
"Testing",
"Virtual Reality",
"Data Visualization",
"Recruitment",
"Psychology",
"Magnetic Resonance Imaging",
"World Wide Web",
"Information Retrieval",
"Silver",
"Information Processing"
],
"authors": [
{
"affiliation": "Center for Adv. Inf. Process., Rutgers State Univ., NJ, USA",
"fullName": "M.C. Velez",
"givenName": "M.C.",
"surname": "Velez",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Center for Adv. Inf. Process., Rutgers State Univ., NJ, USA",
"fullName": "D. Silver",
"givenName": "D.",
"surname": "Silver",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Center for Adv. Inf. Process., Rutgers State Univ., NJ, USA",
"fullName": "M. Tremaine",
"givenName": "M.",
"surname": "Tremaine",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ieee-vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2005-01-01T00:00:00",
"pubType": "proceedings",
"pages": "511,512,513,514,515,516,517,518",
"year": "2005",
"issn": null,
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "27660051",
"articleId": "12OmNyXMQ94",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "27660052",
"articleId": "12OmNxI0KuG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fie/2005/9077/0/01612216",
"title": "Assessing the self efficacy and spatial ability of engineering students from multiple disciplines",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2005/01612216/12OmNwsNRbk",
"parentPublication": {
"id": "proceedings/fie/2005/9077/0",
"title": "35th Annual Frontiers in Education",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/2000/0804/0/08040077",
"title": "GADGET/IV: A Taxonomic Approach to Semi-Automatic Design of Information Visualization Applications Using Modular Visualization Environment",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2000/08040077/12OmNx7ov0k",
"parentPublication": {
"id": "proceedings/ieee-infovis/2000/0804/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2005/2766/0/27660065",
"title": "Understanding Visualization through Spatial Ability Differences",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2005/27660065/12OmNxwWoKu",
"parentPublication": {
"id": "proceedings/ieee-vis/2005/2766/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2007/2828/0/04222599",
"title": "The Role of Experience and Ability in Comprehension Tasks Supported by UML Stereotypes",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2007/04222599/12OmNyQGSnK",
"parentPublication": {
"id": "proceedings/icse/2007/2828/0",
"title": "29th International Conference on Software Engineering (ICSE'07)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2006/05/v0765",
"title": "Spatial Analysis of News Sources",
"doi": null,
"abstractUrl": "/journal/tg/2006/05/v0765/13rRUyfKIHB",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsm/2006/2354/0/04021352",
"title": "Using Sex Differences to Link Spatial Cognition and Program Comprehension",
"doi": null,
"abstractUrl": "/proceedings-article/icsm/2006/04021352/141Anq5YjbE",
"parentPublication": {
"id": "proceedings/icsm/2006/2354/0",
"title": "2006 22nd IEEE International Conference on Software Maintenance",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/eitt/2021/2757/0/275700a100",
"title": "Promoting Junior School Students' Spatial Ability through 3D Printing",
"doi": null,
"abstractUrl": "/proceedings-article/eitt/2021/275700a100/1AFsvTfIbL2",
"parentPublication": {
"id": "proceedings/eitt/2021/2757/0",
"title": "2021 Tenth International Conference of Educational Innovation through Technology (EITT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2022/8402/0/840200a299",
"title": "Visualized Cues for Enhancing Spatial Ability Training in Virtual Reality",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2022/840200a299/1CJfbuK0Yfe",
"parentPublication": {
"id": "proceedings/vrw/2022/8402/0",
"title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904456",
"title": "Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904456/1H1gmktPnLa",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09572234",
"title": "Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09572234/1xH5FXdMnoA",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNBTawmS",
"title": "Information Visualization, IEEE Symposium on",
"acronym": "ieee-infovis",
"groupId": "1000371",
"volume": "0",
"displayVolume": "0",
"year": "1997",
"__typename": "ProceedingType"
},
"article": {
"id": "1h0Jt1gK27m",
"doi": "10.1109/INFVIS.1997.636794",
"title": "Metrics for effective information visualization",
"normalizedTitle": "Metrics for effective information visualization",
"abstract": "Metrics for information visualization will help designers create and evaluate 3D information visualizations. Based on experience from 60+ 3D information visualizations, the metrics we propose are: number of data points and data density; number of dimensions and cognitive overhead; occlusion percentage; and reference context and percentage of identifiable points.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Metrics for information visualization will help designers create and evaluate 3D information visualizations. Based on experience from 60+ 3D information visualizations, the metrics we propose are: number of data points and data density; number of dimensions and cognitive overhead; occlusion percentage; and reference context and percentage of identifiable points.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Metrics for information visualization will help designers create and evaluate 3D information visualizations. Based on experience from 60+ 3D information visualizations, the metrics we propose are: number of data points and data density; number of dimensions and cognitive overhead; occlusion percentage; and reference context and percentage of identifiable points.",
"fno": "00636794",
"keywords": [
"Data Visualisation",
"Software Metrics",
"Information Visualization Metrics",
"Design",
"3 D Information Visualization",
"Data Points",
"Data Density",
"Dimensions",
"Cognitive Overhead",
"Occlusion",
"Reference Context",
"Identifiable Points",
"Data Visualization",
"Guidelines",
"Layout",
"Navigation",
"Graphics",
"Information Geometry",
"Testing",
"Three Dimensional Displays",
"Two Dimensional Displays",
"Multidimensional Systems"
],
"authors": [
{
"affiliation": "Visible Decision Inc., Toronto, Ont., Canada",
"fullName": "R. Brath",
"givenName": "R.",
"surname": "Brath",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ieee-infovis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "1997-01-01T00:00:00",
"pubType": "proceedings",
"pages": "108-111",
"year": "1997",
"issn": null,
"isbn": "0-8186-8189-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "00636699",
"articleId": "12OmNBkP3DS",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "81890002",
"articleId": "12OmNwEJ10t",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/infvis/1997/8189/0/00636794",
"title": "Metrics for effective information visualization",
"doi": null,
"abstractUrl": "/proceedings-article/infvis/1997/00636794/12OmNAtstaH",
"parentPublication": {
"id": "proceedings/infvis/1997/8189/0",
"title": "Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/nbis/2016/0979/0/0979a397",
"title": "3D Modeling of Reconstruction Plan at Sanriku Coast for Great East Japan Earthquake: Visualization of the Reconstruction Plan for Effective Information Sharing",
"doi": null,
"abstractUrl": "/proceedings-article/nbis/2016/0979a397/12OmNx6Piwh",
"parentPublication": {
"id": "proceedings/nbis/2016/0979/0",
"title": "2016 19th International Conference on Network-Based Information Systems (NBiS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3dvis/2014/6826/0/07160093",
"title": "The (possible) utility of stereoscopic 3D displays for information visualization: The good, the bad, and the ugly",
"doi": null,
"abstractUrl": "/proceedings-article/3dvis/2014/07160093/12OmNxWcHag",
"parentPublication": {
"id": "proceedings/3dvis/2014/6826/0",
"title": "2014 IEEE VIS International Workshop on 3DVis (3DVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-infovis/1997/8189/0/81890108",
"title": "Metrics for effective information visualization",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/1997/81890108/12OmNy2rS4U",
"parentPublication": {
"id": "proceedings/ieee-infovis/1997/8189/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/visap/2017/3490/0/08282371",
"title": "3D visualization of genetic networks using diverse art materials",
"doi": null,
"abstractUrl": "/proceedings-article/visap/2017/08282371/12OmNzkMlVO",
"parentPublication": {
"id": "proceedings/visap/2017/3490/0",
"title": "2017 IEEE VIS Arts Program (VISAP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440089",
"title": "Recirculation Surfaces for Flow Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440089/17D45Vw15xs",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/scivis/2018/6882/0/08823618",
"title": "3De Interactive Lenses for Visualization in Virtual Environments",
"doi": null,
"abstractUrl": "/proceedings-article/scivis/2018/08823618/1d5kwZvgfNm",
"parentPublication": {
"id": "proceedings/scivis/2018/6882/0",
"title": "2018 IEEE Scientific Visualization Conference (SciVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800b797",
"title": "Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800b797/1m3onRq4x3y",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222313",
"title": "ShuttleSpace: Exploring and Analyzing Movement Trajectory in Immersive Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222313/1nTr29xEpkk",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2022/08/09355025",
"title": "Learning of 3D Graph Convolution Networks for Point Cloud Analysis",
"doi": null,
"abstractUrl": "/journal/tp/2022/08/09355025/1rgCbgC4Z8s",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzmclWu",
"title": "Ninth International Conference on Information Visualisation (IV'05)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2005",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNrAMF2Y",
"doi": "10.1109/IV.2005.69",
"title": "Knowledge Visualization in Practice: Challenges for Future Corporate Communication",
"normalizedTitle": "Knowledge Visualization in Practice: Challenges for Future Corporate Communication",
"abstract": "In this paper I will illustrate some of the key challenges for knowledge visualization in corporate communication. Based on a case study from Edward Tufte and an evolutionary account of Mihai Nadin, will argue that interactivity is an essential issue with regard to organizational communication or knowledge media design in general. Finally I am going to present an example that comes from a recent DaimlerChrysler research project. This project was using an interactive visualization to support the communication between several different management levels and professional backgrounds.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper I will illustrate some of the key challenges for knowledge visualization in corporate communication. Based on a case study from Edward Tufte and an evolutionary account of Mihai Nadin, will argue that interactivity is an essential issue with regard to organizational communication or knowledge media design in general. Finally I am going to present an example that comes from a recent DaimlerChrysler research project. This project was using an interactive visualization to support the communication between several different management levels and professional backgrounds.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper I will illustrate some of the key challenges for knowledge visualization in corporate communication. Based on a case study from Edward Tufte and an evolutionary account of Mihai Nadin, will argue that interactivity is an essential issue with regard to organizational communication or knowledge media design in general. Finally I am going to present an example that comes from a recent DaimlerChrysler research project. This project was using an interactive visualization to support the communication between several different management levels and professional backgrounds.",
"fno": "23970070",
"keywords": [
"Knowledge Visualization",
"Interaction Design",
"Information Visualization"
],
"authors": [
{
"affiliation": "DaimlerChrysler AG",
"fullName": "Steffen Klein",
"givenName": "Steffen",
"surname": "Klein",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2005-07-01T00:00:00",
"pubType": "proceedings",
"pages": "70-75",
"year": "2005",
"issn": "1550-6037",
"isbn": "0-7695-2397-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "23970061",
"articleId": "12OmNvqmULV",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "23970076",
"articleId": "12OmNvAAtLj",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/bibm/2012/2559/0/06392632",
"title": "ForeTell: Facilitating doctor-patient conversation through interactive information visualization of risk prediction index",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2012/06392632/12OmNBU1jTx",
"parentPublication": {
"id": "proceedings/bibm/2012/2559/0",
"title": "2012 IEEE International Conference on Bioinformatics and Biomedicine",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2000/0743/0/07430518",
"title": "Navigation-Dependent Visualization of Distributed Internet Structures",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2000/07430518/12OmNBtl1rz",
"parentPublication": {
"id": "proceedings/iv/2000/0743/0",
"title": "2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/visual/1991/2245/0/00175825",
"title": "Remote visualization: challenges and opportunities",
"doi": null,
"abstractUrl": "/proceedings-article/visual/1991/00175825/12OmNC0guxY",
"parentPublication": {
"id": "proceedings/visual/1991/2245/0",
"title": "1991 Proceeding Visualization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2004/2177/0/21770519",
"title": "Learning from Architects: The Difference between Knowledge Visualization and Information Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2004/21770519/12OmNx9nGLN",
"parentPublication": {
"id": "proceedings/iv/2004/2177/0",
"title": "Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2005/2397/0/23970377",
"title": "A Case Study Based Approach to Knowledge Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2005/23970377/12OmNyXMQeu",
"parentPublication": {
"id": "proceedings/iv/2005/2397/0",
"title": "Ninth International Conference on Information Visualisation (IV'05)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2007/03/mcg2007030012",
"title": "From Abstract Painting to Information Visualization",
"doi": null,
"abstractUrl": "/magazine/cg/2007/03/mcg2007030012/13rRUIJcWnp",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2009/01/mcg2009010012",
"title": "Data, Information, and Knowledge in Visualization",
"doi": null,
"abstractUrl": "/magazine/cg/2009/01/mcg2009010012/13rRUx0geC1",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2006/02/mcg2006020020",
"title": "NIH-NSF Visualization Research Challenges Report Summary",
"doi": null,
"abstractUrl": "/magazine/cg/2006/02/mcg2006020020/13rRUxDqSaS",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cs/2020/03/09080681",
"title": "The Past and Future of Visualization for Computing in Science and Engineering",
"doi": null,
"abstractUrl": "/magazine/cs/2020/03/09080681/1joA59XdkCk",
"parentPublication": {
"id": "mags/cs",
"title": "Computing in Science & Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09555646",
"title": "Understanding Data Visualization Design Practice",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09555646/1xlw1u3Uiw8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKir9",
"title": "2018 22nd International Conference Information Visualisation (IV)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45X2fUEw",
"doi": "10.1109/iV.2018.00068",
"title": "Visual Design Thinking: Understanding the Role of Knowledge Visualization in the Design Thinking Process",
"normalizedTitle": "Visual Design Thinking: Understanding the Role of Knowledge Visualization in the Design Thinking Process",
"abstract": "This paper sheds light on the role of visualization methods within the design thinking process. It provides a conceptual framework showing illustrative examples of visualization for each phase indicating its functions and benefits. Based on a thorough understanding of the functions and benefits of knowledge visualization in general, this paper seeks to provide an overview of the use of visualization in design thinking informing and supporting practitioners and researcher for more conscious selections of visualization methods in their design thinking efforts.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper sheds light on the role of visualization methods within the design thinking process. It provides a conceptual framework showing illustrative examples of visualization for each phase indicating its functions and benefits. Based on a thorough understanding of the functions and benefits of knowledge visualization in general, this paper seeks to provide an overview of the use of visualization in design thinking informing and supporting practitioners and researcher for more conscious selections of visualization methods in their design thinking efforts.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper sheds light on the role of visualization methods within the design thinking process. It provides a conceptual framework showing illustrative examples of visualization for each phase indicating its functions and benefits. Based on a thorough understanding of the functions and benefits of knowledge visualization in general, this paper seeks to provide an overview of the use of visualization in design thinking informing and supporting practitioners and researcher for more conscious selections of visualization methods in their design thinking efforts.",
"fno": "720200a362",
"keywords": [
"Data Visualisation",
"Design Thinking Process",
"Visual Design Thinking",
"Knowledge Visualization",
"Visualization",
"Prototypes",
"Stakeholders",
"Clouds",
"Collaboration",
"Data Visualization",
"Design Thinking",
"Knowledge Visualization",
"Visual Thinking",
"Visual Artifacts",
"Conceptual Framework"
],
"authors": [
{
"affiliation": null,
"fullName": "Sebastian Kernbach",
"givenName": "Sebastian",
"surname": "Kernbach",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Anja Svetina Nabergoj",
"givenName": "Anja",
"surname": "Svetina Nabergoj",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-07-01T00:00:00",
"pubType": "proceedings",
"pages": "362-367",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-7202-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "720200a356",
"articleId": "17D45WrVgbd",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "720200a368",
"articleId": "17D45XDIXPk",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2015/7568/0/7568a114",
"title": "Concentri Cloud: Word Cloud Visualization for Multiple Text Documents",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2015/7568a114/12OmNA0dMO6",
"parentPublication": {
"id": "proceedings/iv/2015/7568/0",
"title": "2015 19th International Conference on Information Visualisation (iV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2015/7367/0/7367b128",
"title": "Initial Steps for IT Incident Visualization: Understanding Leadership Needs, Design, and Evaluation",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2015/7367b128/12OmNAZx8L5",
"parentPublication": {
"id": "proceedings/hicss/2015/7367/0",
"title": "2015 48th Hawaii International Conference on System Sciences (HICSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2017/5920/0/08190479",
"title": "Design thinking as a catalyst for changing teaching and learning practices in engineering",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2017/08190479/12OmNrHB1WK",
"parentPublication": {
"id": "proceedings/fie/2017/5920/0",
"title": "2017 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2012/06/mcg2012060088",
"title": "Understanding Visualization by Understanding Individual Users",
"doi": null,
"abstractUrl": "/magazine/cg/2012/06/mcg2012060088/13rRUNvya3t",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2017/03/mcg2017030096",
"title": "Apply or Die: On the Role and Assessment of Application Papers in Visualization",
"doi": null,
"abstractUrl": "/magazine/cg/2017/03/mcg2017030096/13rRUwbJCZj",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440830",
"title": "A Framework for Creative Visualization-Opportunities Workshops",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440830/17D45WIXbOg",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2022/6244/0/09962465",
"title": "Teaching Computational Thinking and Spatial Visualization in K-12 with 3D Weather Visualizations",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2022/09962465/1IHodHPrP8c",
"parentPublication": {
"id": "proceedings/fie/2022/6244/0",
"title": "2022 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a329",
"title": "Visual Thinking in Life Design: A Conceptual Framework of Visual Tools and Templates",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a329/1cMF9Z4gT16",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2020/8961/0/09274157",
"title": "Using Evidence Based Practices and Learning to Enhance Critical Thinking Skills in Students Through Data Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2020/09274157/1phRJBMoe1G",
"parentPublication": {
"id": "proceedings/fie/2020/8961/0",
"title": "2020 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2020/9134/0/913400a550",
"title": "ColVis: Collaborative Visualization Design Workshops for Diverse User Groups",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2020/913400a550/1rSRdQJMBk4",
"parentPublication": {
"id": "proceedings/iv/2020/9134/0",
"title": "2020 24th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1fTgF9x78sw",
"title": "2019 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1fTgGk6sRfa",
"doi": "10.1109/VISUAL.2019.8933762",
"title": "Sociotechnical Considerations for Accessible Visualization Design",
"normalizedTitle": "Sociotechnical Considerations for Accessible Visualization Design",
"abstract": "Accessibility—the process of designing for people with disabilities (PWD)—is an important but under-explored challenge in the visualization research community. Without careful attention, and if PWD are not included as equal participants throughout the process, there is a danger of perpetuating a vision-first approach to accessible design that marginalizes the lived experience of disability (e.g., by creating overly simplistic \"sensory translations\" that map visual to non-visual modalities in a one-to-one fashion). In this paper, we present a set of sociotechnical considerations for research in accessible visualization design, drawing on literature in disability studies, tactile information systems, and participatory methods. We identify that using state-of-the-art technologies may introduce more barriers to access than they remove, and that expectations of research novelty may not produce outcomes well-aligned with the needs of disability communities. Instead, to promote a more inclusive design process, we emphasize the importance of clearly communicating goals, following existing accessibility guidelines, and treating PWD as equal participants who are compensated for their specialized skills. To illustrate how these considerations can be applied in practice, we discuss a case study of an inclusive design workshop held in collaboration with the Perkins School for the Blind.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Accessibility—the process of designing for people with disabilities (PWD)—is an important but under-explored challenge in the visualization research community. Without careful attention, and if PWD are not included as equal participants throughout the process, there is a danger of perpetuating a vision-first approach to accessible design that marginalizes the lived experience of disability (e.g., by creating overly simplistic \"sensory translations\" that map visual to non-visual modalities in a one-to-one fashion). In this paper, we present a set of sociotechnical considerations for research in accessible visualization design, drawing on literature in disability studies, tactile information systems, and participatory methods. We identify that using state-of-the-art technologies may introduce more barriers to access than they remove, and that expectations of research novelty may not produce outcomes well-aligned with the needs of disability communities. Instead, to promote a more inclusive design process, we emphasize the importance of clearly communicating goals, following existing accessibility guidelines, and treating PWD as equal participants who are compensated for their specialized skills. To illustrate how these considerations can be applied in practice, we discuss a case study of an inclusive design workshop held in collaboration with the Perkins School for the Blind.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Accessibility—the process of designing for people with disabilities (PWD)—is an important but under-explored challenge in the visualization research community. Without careful attention, and if PWD are not included as equal participants throughout the process, there is a danger of perpetuating a vision-first approach to accessible design that marginalizes the lived experience of disability (e.g., by creating overly simplistic \"sensory translations\" that map visual to non-visual modalities in a one-to-one fashion). In this paper, we present a set of sociotechnical considerations for research in accessible visualization design, drawing on literature in disability studies, tactile information systems, and participatory methods. We identify that using state-of-the-art technologies may introduce more barriers to access than they remove, and that expectations of research novelty may not produce outcomes well-aligned with the needs of disability communities. Instead, to promote a more inclusive design process, we emphasize the importance of clearly communicating goals, following existing accessibility guidelines, and treating PWD as equal participants who are compensated for their specialized skills. To illustrate how these considerations can be applied in practice, we discuss a case study of an inclusive design workshop held in collaboration with the Perkins School for the Blind.",
"fno": "08933762",
"keywords": [
"Biological System Modeling",
"Visualization",
"Guidelines",
"Data Visualization",
"Medical Diagnostic Imaging",
"Human Computer Interaction",
"Human Centered Computing",
"Visualization",
"Visualization Design And Evaluation Methods",
"Accessibility",
"Accessibility Technologies"
],
"authors": [
{
"affiliation": "MIT CSAIL",
"fullName": "Alan Lundgard",
"givenName": "Alan",
"surname": "Lundgard",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "MIT HASTS",
"fullName": "Crystal Lee",
"givenName": "Crystal",
"surname": "Lee",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "MIT CSAIL",
"fullName": "Arvind Satyanarayan",
"givenName": "Arvind",
"surname": "Satyanarayan",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-10-01T00:00:00",
"pubType": "proceedings",
"pages": "16-20",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-4941-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08933751",
"articleId": "1fTgJc2YdMI",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08933569",
"articleId": "1fTgHCV29i0",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icalt/2013/5009/0/5009a419",
"title": "Towards the Design of Personalised Accessible E-Learning Environments",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2013/5009a419/12OmNqBKTNr",
"parentPublication": {
"id": "proceedings/icalt/2013/5009/0",
"title": "2013 IEEE 13th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2001/1013/0/10130381",
"title": "Courseware Accessibility: Recommendations for Inclusive Design",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2001/10130381/12OmNx8fi6D",
"parentPublication": {
"id": "proceedings/icalt/2001/1013/0",
"title": "Proceedings IEEE International Conference on Advanced Learning Technologies",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisis/2012/4687/0/4687a496",
"title": "Guidelines to Design Inclusive Ambient Intelligence Solutions for Human Activity Sharing",
"doi": null,
"abstractUrl": "/proceedings-article/cisis/2012/4687a496/12OmNyQYthg",
"parentPublication": {
"id": "proceedings/cisis/2012/4687/0",
"title": "2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar-adjunct/2019/4765/0/476500a451",
"title": "Accessible by Design: An Opportunity for Virtual Reality",
"doi": null,
"abstractUrl": "/proceedings-article/ismar-adjunct/2019/476500a451/1gyslX72MZW",
"parentPublication": {
"id": "proceedings/ismar-adjunct/2019/4765/0",
"title": "2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/contie/2019/5436/0/543600a112",
"title": "Adapting SCRUM Methodology to Develop Accessible Web Sites",
"doi": null,
"abstractUrl": "/proceedings-article/contie/2019/543600a112/1h5YsGaLEyY",
"parentPublication": {
"id": "proceedings/contie/2019/5436/0",
"title": "2019 International Conference on Inclusive Technologies and Education (CONTIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/contie/2019/5436/0/543600a129",
"title": "Evaluating the Effectiveness of Accessible web Sites for Deaf users",
"doi": null,
"abstractUrl": "/proceedings-article/contie/2019/543600a129/1h5YuT0Qlji",
"parentPublication": {
"id": "proceedings/contie/2019/5436/0",
"title": "2019 International Conference on Inclusive Technologies and Education (CONTIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2020/6090/0/09155810",
"title": "Accessibility and Personalization in OpenCourseWare : An Inclusive Development Approach",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2020/09155810/1m1j5kqshUI",
"parentPublication": {
"id": "proceedings/icalt/2020/6090/0",
"title": "2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsme/2020/5619/0/561900a857",
"title": "The Making of Accessible Android Applications: An Empirical Study on the State of the Practice",
"doi": null,
"abstractUrl": "/proceedings-article/icsme/2020/561900a857/1oqKL3pu0ZW",
"parentPublication": {
"id": "proceedings/icsme/2020/5619/0",
"title": "2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552177",
"title": "Towards Understanding Sensory Substitution for Accessible Visualization: An Interview Study",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552177/1xic9a4I0pi",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09555469",
"title": "Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09555469/1xjQSGhQDvO",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1qRNrlo577W",
"title": "2020 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1qROcCF5NiU",
"doi": "10.1109/VIS47514.2020.00042",
"title": "Design Judgment in Data Visualization Practice",
"normalizedTitle": "Design Judgment in Data Visualization Practice",
"abstract": "Data visualization is becoming an increasingly popular field of design practice. Although many studies have highlighted the knowledge required for effective data visualization design, their focus has largely been on formal knowledge and logical decision-making processes that can be abstracted and codified. Less attention has been paid to the more situated and personal ways of knowing that are prevalent in all design activity. In this study, we conducted semistructured interviews with data visualization practitioners during which they were asked to describe the practical and situated aspects of their design processes. Using a philosophical framework of design judgment from Nelson and Stolterman [23], we analyzed the transcripts to describe the volume and complex layering of design judgments that are used by data visualization practitioners as they describe and interrogate their work. We identify aspects of data visualization practice that require further investigation beyond notions of rational, model- or principle-directed decision-making processes.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Data visualization is becoming an increasingly popular field of design practice. Although many studies have highlighted the knowledge required for effective data visualization design, their focus has largely been on formal knowledge and logical decision-making processes that can be abstracted and codified. Less attention has been paid to the more situated and personal ways of knowing that are prevalent in all design activity. In this study, we conducted semistructured interviews with data visualization practitioners during which they were asked to describe the practical and situated aspects of their design processes. Using a philosophical framework of design judgment from Nelson and Stolterman [23], we analyzed the transcripts to describe the volume and complex layering of design judgments that are used by data visualization practitioners as they describe and interrogate their work. We identify aspects of data visualization practice that require further investigation beyond notions of rational, model- or principle-directed decision-making processes.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Data visualization is becoming an increasingly popular field of design practice. Although many studies have highlighted the knowledge required for effective data visualization design, their focus has largely been on formal knowledge and logical decision-making processes that can be abstracted and codified. Less attention has been paid to the more situated and personal ways of knowing that are prevalent in all design activity. In this study, we conducted semistructured interviews with data visualization practitioners during which they were asked to describe the practical and situated aspects of their design processes. Using a philosophical framework of design judgment from Nelson and Stolterman [23], we analyzed the transcripts to describe the volume and complex layering of design judgments that are used by data visualization practitioners as they describe and interrogate their work. We identify aspects of data visualization practice that require further investigation beyond notions of rational, model- or principle-directed decision-making processes.",
"fno": "801400a176",
"keywords": [
"Data Visualisation",
"Decision Making",
"Design Judgment",
"Data Visualization Practice",
"Design Practice",
"Data Visualization Design",
"Formal Knowledge",
"Logical Decision Making Processes",
"Design Activity",
"Principle Directed Decision Making Processes",
"Rational Directed Decision Making Processes",
"Model Directed Decision Making Processes",
"Philosophical Framework",
"Conferences",
"Computational Modeling",
"Decision Making",
"Data Visualization",
"Data Models",
"Interviews",
"Human Centered Computing",
"Visualization"
],
"authors": [
{
"affiliation": "Purdue University",
"fullName": "Paul Parsons",
"givenName": "Paul",
"surname": "Parsons",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Purdue University",
"fullName": "Colin M. Gray",
"givenName": "Colin M.",
"surname": "Gray",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Purdue University",
"fullName": "Ali Baigelenov",
"givenName": "Ali",
"surname": "Baigelenov",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Purdue University",
"fullName": "Ian Carr",
"givenName": "Ian",
"surname": "Carr",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-10-01T00:00:00",
"pubType": "proceedings",
"pages": "176-180",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-8014-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "801400a171",
"articleId": "1qROmjyLLmE",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "801400a181",
"articleId": "1qRO9q8X6dq",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/vlhcc/2016/0252/0/07739669",
"title": "Diagnostic visualization for non-expert machine learning practitioners: A design study",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2016/07739669/12OmNwKoZix",
"parentPublication": {
"id": "proceedings/vlhcc/2016/0252/0",
"title": "2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2021/3902/0/09671985",
"title": "Visualization for enabling human-in-the-loop in trace clustering-based process mining tasks",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2021/09671985/1A8gSd04iFa",
"parentPublication": {
"id": "proceedings/big-data/2021/3902/0",
"title": "2021 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904866",
"title": "Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904866/1H2llxba9ws",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2022/9007/0/900700a054",
"title": "Augmenting the Reality of Situated Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2022/900700a054/1KaFNMH9df2",
"parentPublication": {
"id": "proceedings/iv/2022/9007/0",
"title": "2022 26th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vahc/2022/0103/0/10108524",
"title": "An In-depth Needs Analysis to Design a Data Visualization Dashboard Prototype for Critical Care Setting",
"doi": null,
"abstractUrl": "/proceedings-article/vahc/2022/10108524/1MIgT1UPOQo",
"parentPublication": {
"id": "proceedings/vahc/2022/0103/0",
"title": "2022 Workshop on Visual Analytics in Healthcare (VAHC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a181",
"title": "What are Data Insights to Professional Visualization Users?",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a181/1qRO9q8X6dq",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a211",
"title": "Data Visualization Practitioners’ Perspectives on Chartjunk",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a211/1qROcw0EDja",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09555646",
"title": "Understanding Data Visualization Design Practice",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09555646/1xlw1u3Uiw8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis4good/2021/1366/0/136600a016",
"title": "Feral data visualization: A manifesto for cultivating livable worlds with visual sensemaking practices",
"doi": null,
"abstractUrl": "/proceedings-article/vis4good/2021/136600a016/1yNiR9HPI4w",
"parentPublication": {
"id": "proceedings/vis4good/2021/1366/0",
"title": "2021 IEEE Workshop on Visualization for Social Good (VIS4Good)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2021/3335/0/333500a076",
"title": "Fixation and Creativity in Data Visualization Design: Experiences and Perspectives of Practitioners",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2021/333500a076/1yXuiT4GCbK",
"parentPublication": {
"id": "proceedings/vis/2021/3335/0",
"title": "2021 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1qRNrlo577W",
"title": "2020 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1qROcw0EDja",
"doi": "10.1109/VIS47514.2020.00049",
"title": "Data Visualization Practitioners’ Perspectives on Chartjunk",
"normalizedTitle": "Data Visualization Practitioners’ Perspectives on Chartjunk",
"abstract": "Chartjunk is a popular yet contentious topic. Previous studies have shown that extreme minimalism is not always best, and that visual embellishments can be useful depending on the context. While more knowledge is being developed regarding the effects of embellishments on users, less attention has been given to the perspectives of practitioners regarding how they design with embellishments. We conducted semi-structured interviews with 20 data visualization practitioners, investigating how they understand chartjunk and the factors that influence how and when they make use of embellishments. Our investigation uncovers a broad and pluralistic understanding of chartjunk among practitioners, and foregrounds a variety of personal and situated factors that influence the use of chartjunk beyond context. We highlight the personal nature of design practice, and discuss the need for more practice-led research to better understand the ways in which concepts like chartjunk are interpreted and used by practitioners.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Chartjunk is a popular yet contentious topic. Previous studies have shown that extreme minimalism is not always best, and that visual embellishments can be useful depending on the context. While more knowledge is being developed regarding the effects of embellishments on users, less attention has been given to the perspectives of practitioners regarding how they design with embellishments. We conducted semi-structured interviews with 20 data visualization practitioners, investigating how they understand chartjunk and the factors that influence how and when they make use of embellishments. Our investigation uncovers a broad and pluralistic understanding of chartjunk among practitioners, and foregrounds a variety of personal and situated factors that influence the use of chartjunk beyond context. We highlight the personal nature of design practice, and discuss the need for more practice-led research to better understand the ways in which concepts like chartjunk are interpreted and used by practitioners.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Chartjunk is a popular yet contentious topic. Previous studies have shown that extreme minimalism is not always best, and that visual embellishments can be useful depending on the context. While more knowledge is being developed regarding the effects of embellishments on users, less attention has been given to the perspectives of practitioners regarding how they design with embellishments. We conducted semi-structured interviews with 20 data visualization practitioners, investigating how they understand chartjunk and the factors that influence how and when they make use of embellishments. Our investigation uncovers a broad and pluralistic understanding of chartjunk among practitioners, and foregrounds a variety of personal and situated factors that influence the use of chartjunk beyond context. We highlight the personal nature of design practice, and discuss the need for more practice-led research to better understand the ways in which concepts like chartjunk are interpreted and used by practitioners.",
"fno": "801400a211",
"keywords": [
"Data Visualisation",
"Chartjunk",
"Visual Embellishments",
"Data Visualization Practitioners",
"Visualization",
"Conferences",
"Data Visualization",
"Interviews",
"Human Centered Computing",
"Visualization"
],
"authors": [
{
"affiliation": "Purdue University",
"fullName": "Paul Parsons",
"givenName": "Paul",
"surname": "Parsons",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Purdue University",
"fullName": "Prakash Shukla",
"givenName": "Prakash",
"surname": "Shukla",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-10-01T00:00:00",
"pubType": "proceedings",
"pages": "211-215",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-8014-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "801400a206",
"articleId": "1qRO3t1TelW",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "801400a216",
"articleId": "1qRO5ZYmzfy",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/vlhcc/2016/0252/0/07739669",
"title": "Diagnostic visualization for non-expert machine learning practitioners: A design study",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2016/07739669/12OmNwKoZix",
"parentPublication": {
"id": "proceedings/vlhcc/2016/0252/0",
"title": "2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2016/3900/0/3900a237",
"title": "An Empirical Study of Practitioners' Perspectives on Green Software Engineering",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2016/3900a237/12OmNyL0TCF",
"parentPublication": {
"id": "proceedings/icse/2016/3900/0",
"title": "2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/chase/2018/5725/0/572501a057",
"title": "How Do Practitioners Perceive Assurance Cases in Safety-Critical Software Systems?",
"doi": null,
"abstractUrl": "/proceedings-article/chase/2018/572501a057/13bd1eYj8bf",
"parentPublication": {
"id": "proceedings/chase/2018/5725/0",
"title": "2018 IEEE/ACM 11th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/2020/08/08466000",
"title": "How Practitioners Perceive Automated Bug Report Management Techniques",
"doi": null,
"abstractUrl": "/journal/ts/2020/08/08466000/13zn9e4orkY",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwesep/2018/0439/0/043900a001",
"title": "Software Practitioners' Information Needs and Sources: A Survey Study",
"doi": null,
"abstractUrl": "/proceedings-article/iwesep/2018/043900a001/18j9wGwtIoE",
"parentPublication": {
"id": "proceedings/iwesep/2018/0439/0",
"title": "2018 9th International Workshop on Empirical Software Engineering in Practice (IWESEP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/scam/2020/9248/0/924800a087",
"title": "Understanding and Characterizing Changes in Bugs Priority: The Practitioners’ Perceptive",
"doi": null,
"abstractUrl": "/proceedings-article/scam/2020/924800a087/1oFH0CIx02c",
"parentPublication": {
"id": "proceedings/scam/2020/9248/0",
"title": "2020 IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a181",
"title": "What are Data Insights to Professional Visualization Users?",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a181/1qRO9q8X6dq",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a176",
"title": "Design Judgment in Data Visualization Practice",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a176/1qROcCF5NiU",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/msr/2021/8710/0/871000a432",
"title": "Practitioners’ Perceptions of the Goals and Visual Explanations of Defect Prediction Models",
"doi": null,
"abstractUrl": "/proceedings-article/msr/2021/871000a432/1tB7jR1ZBDO",
"parentPublication": {
"id": "proceedings/msr/2021/8710/0/",
"title": "2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2021/3335/0/333500a076",
"title": "Fixation and Creativity in Data Visualization Design: Experiences and Perspectives of Practitioners",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2021/333500a076/1yXuiT4GCbK",
"parentPublication": {
"id": "proceedings/vis/2021/3335/0",
"title": "2021 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1yXu6NL4pqw",
"title": "2021 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1yXuabwlVYs",
"doi": "10.1109/VIS49827.2021.9623299",
"title": "How Learners Sketch Data Stories",
"normalizedTitle": "How Learners Sketch Data Stories",
"abstract": "Learning data storytelling involves a complex web of skills. Professional and academic educational offerings typically focus on the computational literacies required, but professionals in the field employ many non-technical methods; sketching by hand on paper is a common practice. This paper introduces and classifies a corpus of 101 data sketches produced by participants as part of a guided learning activity in informal and formal settings. We manually code each sketch against 12 metrics related to visual encodings, representations, and story structure. We find evidence for preferential use of positional and shape-based encodings, frequent use of symbolic and textual representations, and a high prevalence of stories comparing subsets of data. These findings contribute to our understanding of how learners sketch with data. This case study can inform tool design for learners, and help create educational programs that introduce novices to sketching practices used by experts.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Learning data storytelling involves a complex web of skills. Professional and academic educational offerings typically focus on the computational literacies required, but professionals in the field employ many non-technical methods; sketching by hand on paper is a common practice. This paper introduces and classifies a corpus of 101 data sketches produced by participants as part of a guided learning activity in informal and formal settings. We manually code each sketch against 12 metrics related to visual encodings, representations, and story structure. We find evidence for preferential use of positional and shape-based encodings, frequent use of symbolic and textual representations, and a high prevalence of stories comparing subsets of data. These findings contribute to our understanding of how learners sketch with data. This case study can inform tool design for learners, and help create educational programs that introduce novices to sketching practices used by experts.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Learning data storytelling involves a complex web of skills. Professional and academic educational offerings typically focus on the computational literacies required, but professionals in the field employ many non-technical methods; sketching by hand on paper is a common practice. This paper introduces and classifies a corpus of 101 data sketches produced by participants as part of a guided learning activity in informal and formal settings. We manually code each sketch against 12 metrics related to visual encodings, representations, and story structure. We find evidence for preferential use of positional and shape-based encodings, frequent use of symbolic and textual representations, and a high prevalence of stories comparing subsets of data. These findings contribute to our understanding of how learners sketch with data. This case study can inform tool design for learners, and help create educational programs that introduce novices to sketching practices used by experts.",
"fno": "333500a196",
"keywords": [
"Computer Aided Instruction",
"Computer Literacy",
"Story Structure",
"Shape Based Encodings",
"Symbolic Representations",
"Textual Representations",
"Educational Programs",
"Data Stories",
"Learning Data Storytelling",
"Academic Educational Offerings",
"Computational Literacies",
"Nontechnical Methods",
"Data Sketches",
"Guided Learning Activity",
"Informal Settings",
"Visual Encodings",
"Professional Offerings",
"Measurement",
"Human Computer Interaction",
"Visualization",
"Educational Programs",
"Codes",
"Design Methodology",
"Conferences",
"Human Centered Computing Visualization Design And Evaluation Methods",
"Social And Professional Topics Informal Education"
],
"authors": [
{
"affiliation": "Northeastern University",
"fullName": "Rahul Bhargava",
"givenName": "Rahul",
"surname": "Bhargava",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Northeastern University",
"fullName": "Dee Williams",
"givenName": "Dee",
"surname": "Williams",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "MIT",
"fullName": "Catherine D’Ignazio",
"givenName": "Catherine",
"surname": "D’Ignazio",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-10-01T00:00:00",
"pubType": "proceedings",
"pages": "196-200",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-3335-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "333500a191",
"articleId": "1yXuegZiicg",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "333500a201",
"articleId": "1yXuksPe8ne",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/vast/2014/6227/0/07042522",
"title": "A sketch+fisheye interface for visual analytics of large time-series",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2014/07042522/12OmNvAiSiA",
"parentPublication": {
"id": "proceedings/vast/2014/6227/0",
"title": "2014 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2010/3869/0/01-01-10",
"title": "Towards Understanding How and Why Learners Participate in Online Seminars",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2010/01-01-10/12OmNvTjZYb",
"parentPublication": {
"id": "proceedings/hicss/2010/3869/0",
"title": "2010 43rd Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2005/9077/0/01612172",
"title": "Same Stories, Different Continents",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2005/01612172/12OmNwAt1Gh",
"parentPublication": {
"id": "proceedings/fie/2005/9077/0",
"title": "35th Annual Frontiers in Education",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2016/5661/0/07883519",
"title": "The semantics of sketch: Flexibility in visual query systems for time series data",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2016/07883519/12OmNy4r3YK",
"parentPublication": {
"id": "proceedings/vast/2016/5661/0",
"title": "2016 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hipc/2018/8386/0/838600a225",
"title": "Dynamic Count-Min Sketch for Analytical Queries Over Continuous Data Streams",
"doi": null,
"abstractUrl": "/proceedings-article/hipc/2018/838600a225/18jXOEls2iI",
"parentPublication": {
"id": "proceedings/hipc/2018/8386/0",
"title": "2018 IEEE 25th International Conference on High Performance Computing (HiPC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2022/8739/0/873900f149",
"title": "Leveraging Unlabeled Data for Sketch-based Understanding",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2022/873900f149/1G56V50YqfS",
"parentPublication": {
"id": "proceedings/cvprw/2022/8739/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2022/6244/0/09962632",
"title": "Designing and implementing an AI education program for learners with diverse background at scale",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2022/09962632/1IHo4RvOTXq",
"parentPublication": {
"id": "proceedings/fie/2022/6244/0",
"title": "2022 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3dv/2022/5670/0/567000a383",
"title": "Structure-Aware 3D VR Sketch to 3D Shape Retrieval",
"doi": null,
"abstractUrl": "/proceedings-article/3dv/2022/567000a383/1KYsqgmUniE",
"parentPublication": {
"id": "proceedings/3dv/2022/5670/0",
"title": "2022 International Conference on 3D Vision (3DV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2021/4106/0/410600a257",
"title": "ICT tools’ contributions in a technology-enhanced peer learning program involving EFL learners",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2021/410600a257/1vK0806sFZm",
"parentPublication": {
"id": "proceedings/icalt/2021/4106/0",
"title": "2021 International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iri/2021/3875/0/387500a355",
"title": "Encoding Techniques for High-Cardinality Features and Ensemble Learners",
"doi": null,
"abstractUrl": "/proceedings-article/iri/2021/387500a355/1yBG3DKbqWA",
"parentPublication": {
"id": "proceedings/iri/2021/3875/0",
"title": "2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1yXu6NL4pqw",
"title": "2021 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1yXuiT4GCbK",
"doi": "10.1109/VIS49827.2021.9623297",
"title": "Fixation and Creativity in Data Visualization Design: Experiences and Perspectives of Practitioners",
"normalizedTitle": "Fixation and Creativity in Data Visualization Design: Experiences and Perspectives of Practitioners",
"abstract": "Data visualization design often requires creativity, and research is needed to understand its nature and means for promoting it. The current visualization literature on creativity is not well developed, especially with respect to the experiences of professional data visualization designers. We conducted semi-structured interviews with 15 data visualization practitioners, focusing on a specific aspect of creativity known as design fixation. Fixation occurs when designers adhere blindly or prematurely to a set of ideas that limit creative outcomes. We present practitioners’ experiences and perspectives from their own design practice, specifically focusing on their views of (i) the nature of fixation, (ii) factors encouraging fixation, and (iii) factors discouraging fixation. We identify opportunities for future research related to chart recommendations, inspiration, and perspective shifts in data visualization design.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Data visualization design often requires creativity, and research is needed to understand its nature and means for promoting it. The current visualization literature on creativity is not well developed, especially with respect to the experiences of professional data visualization designers. We conducted semi-structured interviews with 15 data visualization practitioners, focusing on a specific aspect of creativity known as design fixation. Fixation occurs when designers adhere blindly or prematurely to a set of ideas that limit creative outcomes. We present practitioners’ experiences and perspectives from their own design practice, specifically focusing on their views of (i) the nature of fixation, (ii) factors encouraging fixation, and (iii) factors discouraging fixation. We identify opportunities for future research related to chart recommendations, inspiration, and perspective shifts in data visualization design.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Data visualization design often requires creativity, and research is needed to understand its nature and means for promoting it. The current visualization literature on creativity is not well developed, especially with respect to the experiences of professional data visualization designers. We conducted semi-structured interviews with 15 data visualization practitioners, focusing on a specific aspect of creativity known as design fixation. Fixation occurs when designers adhere blindly or prematurely to a set of ideas that limit creative outcomes. We present practitioners’ experiences and perspectives from their own design practice, specifically focusing on their views of (i) the nature of fixation, (ii) factors encouraging fixation, and (iii) factors discouraging fixation. We identify opportunities for future research related to chart recommendations, inspiration, and perspective shifts in data visualization design.",
"fno": "333500a076",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Human Factors",
"Data Visualization Design",
"Professional Data Visualization Designers",
"Data Visualization Practitioners",
"Design Fixation",
"Creative Outcomes",
"Design Practice",
"Conferences",
"Data Visualization",
"Focusing",
"Interviews",
"Creativity",
"Human Centered Computing",
"Visualization"
],
"authors": [
{
"affiliation": "Purdue University",
"fullName": "Paul Parsons",
"givenName": "Paul",
"surname": "Parsons",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Purdue University",
"fullName": "Prakash Shukla",
"givenName": "Prakash",
"surname": "Shukla",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Purdue University",
"fullName": "Chorong Park",
"givenName": "Chorong",
"surname": "Park",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-10-01T00:00:00",
"pubType": "proceedings",
"pages": "76-80",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-3335-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "333500a071",
"articleId": "1yXujc7Nwqc",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "333500a081",
"articleId": "1yXukGBCJTq",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/eitt/2017/0629/0/0629a229",
"title": "Creativity and Educational Technology",
"doi": null,
"abstractUrl": "/proceedings-article/eitt/2017/0629a229/12OmNAXxWSn",
"parentPublication": {
"id": "proceedings/eitt/2017/0629/0",
"title": "2017 International Conference of Educational Innovation through Technology (EITT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/1995/6945/0/69450571",
"title": "The influence of group and context on information technology development creativity",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/1995/69450571/12OmNBOCWy3",
"parentPublication": {
"id": "proceedings/hicss/1995/6945/0",
"title": "28th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/seaa/2017/2141/0/2141a210",
"title": "Perceptions of Creativity in Software Engineering Research and Practice",
"doi": null,
"abstractUrl": "/proceedings-article/seaa/2017/2141a210/12OmNC0y5Du",
"parentPublication": {
"id": "proceedings/seaa/2017/2141/0",
"title": "2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2016/3900/0/3900a237",
"title": "An Empirical Study of Practitioners' Perspectives on Green Software Engineering",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2016/3900a237/12OmNyL0TCF",
"parentPublication": {
"id": "proceedings/icse/2016/3900/0",
"title": "2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/re/2016/4121/0/4121a036",
"title": "Stimulating Stakeholders' Imagination: New Creativity Triggers for Eliciting Novel Requirements",
"doi": null,
"abstractUrl": "/proceedings-article/re/2016/4121a036/12OmNzUPpAV",
"parentPublication": {
"id": "proceedings/re/2016/4121/0",
"title": "2016 IEEE 24th International Requirements Engineering Conference (RE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2018/7315/0/731500a443",
"title": "The Role of Wearable Technology in Children's Creativity",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2018/731500a443/17D45W2WyzJ",
"parentPublication": {
"id": "proceedings/cw/2018/7315/0",
"title": "2018 International Conference on Cyberworlds (CW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09903579",
"title": "Understanding how Designers Find and Use Data Visualization Examples",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09903579/1GZomJYdZQY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300f783",
"title": "Creativity Inspired Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300f783/1hVlAFirKeY",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a211",
"title": "Data Visualization Practitioners’ Perspectives on Chartjunk",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a211/1qROcw0EDja",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/2022/10/09537306",
"title": "How Templated Requirements Specifications Inhibit Creativity in Software Engineering",
"doi": null,
"abstractUrl": "/journal/ts/2022/10/09537306/1wTiG4dgKB2",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzgNXZr",
"title": "Proceedings IEEE Joint International Conference on Requirements Engineering",
"acronym": "re",
"groupId": "1000630",
"volume": "0",
"displayVolume": "0",
"year": "2002",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNAqU4Tu",
"doi": "10.1109/ICRE.2002.1048507",
"title": "On the Use of Visualization in Formal Requirements Specification",
"normalizedTitle": "On the Use of Visualization in Formal Requirements Specification",
"abstract": "A limiting factor in the industrial acceptance of formal specifications is their readability, particularly for large, complex engineering systems. We hypothesize that multiple visualizations generated from a common model will improve the requirements creation, reviewing and understanding process. Visual representations, when effective, provide cognitive support by highlighting the most relevant interactions and aspects of a specification for a particular use. In this paper, we propose a taxonomy and some preliminary principles for designing visual representations of formal specifications. The taxonomy and principles are illustrated by sample visualizations we created while trying to understand a formal specification of the MD-11 Flight Management System.",
"abstracts": [
{
"abstractType": "Regular",
"content": "A limiting factor in the industrial acceptance of formal specifications is their readability, particularly for large, complex engineering systems. We hypothesize that multiple visualizations generated from a common model will improve the requirements creation, reviewing and understanding process. Visual representations, when effective, provide cognitive support by highlighting the most relevant interactions and aspects of a specification for a particular use. In this paper, we propose a taxonomy and some preliminary principles for designing visual representations of formal specifications. The taxonomy and principles are illustrated by sample visualizations we created while trying to understand a formal specification of the MD-11 Flight Management System.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "A limiting factor in the industrial acceptance of formal specifications is their readability, particularly for large, complex engineering systems. We hypothesize that multiple visualizations generated from a common model will improve the requirements creation, reviewing and understanding process. Visual representations, when effective, provide cognitive support by highlighting the most relevant interactions and aspects of a specification for a particular use. In this paper, we propose a taxonomy and some preliminary principles for designing visual representations of formal specifications. The taxonomy and principles are illustrated by sample visualizations we created while trying to understand a formal specification of the MD-11 Flight Management System.",
"fno": "14650071",
"keywords": [
"Requirements Specification",
"Visualization",
"Formal Methods"
],
"authors": [
{
"affiliation": "Massachusetts Institute of Technology",
"fullName": "Nicolas Dulac",
"givenName": "Nicolas",
"surname": "Dulac",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Massachusetts Institute of Technology",
"fullName": "Thomas Viguier",
"givenName": "Thomas",
"surname": "Viguier",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Massachusetts Institute of Technology",
"fullName": "Nancy Leveson",
"givenName": "Nancy",
"surname": "Leveson",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Massachusetts Institute of Technology",
"fullName": "Margaret-Anne Storey",
"givenName": "Margaret-Anne",
"surname": "Storey",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "re",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2002-09-01T00:00:00",
"pubType": "proceedings",
"pages": "71",
"year": "2002",
"issn": "1090-705X",
"isbn": "0-7695-1465-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "14650061",
"articleId": "12OmNqIhFZU",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "14650081",
"articleId": "12OmNvAiSbu",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ecbs/2000/0604/0/06040290",
"title": "Refinement in Requirements Specification and Analysis: A Case Study",
"doi": null,
"abstractUrl": "/proceedings-article/ecbs/2000/06040290/12OmNAo45HU",
"parentPublication": {
"id": "proceedings/ecbs/2000/0604/0",
"title": "Engineering of Computer-Based Systems, IEEE International Conference on the",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icis-comsar/2006/2613/0/26130180",
"title": "TUG: An Executable Specification Language",
"doi": null,
"abstractUrl": "/proceedings-article/icis-comsar/2006/26130180/12OmNBW0vDt",
"parentPublication": {
"id": "proceedings/icis-comsar/2006/2613/0",
"title": "Computer and Information Science, 5th IEEE/ACIS International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwssd/1998/8439/0/84390153",
"title": "Methodological Support for Requirements Elicitation and Formal Specification",
"doi": null,
"abstractUrl": "/proceedings-article/iwssd/1998/84390153/12OmNx5GU9H",
"parentPublication": {
"id": "proceedings/iwssd/1998/8439/0",
"title": "Software Specification and Design, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/see/1997/8019/0/80190131",
"title": "A formal requirements engineering method for specification, synthesis, and verification",
"doi": null,
"abstractUrl": "/proceedings-article/see/1997/80190131/12OmNy9PrgK",
"parentPublication": {
"id": "proceedings/see/1997/8019/0",
"title": "Software Engineering Environments, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/apsec/2001/1408/0/14080169",
"title": "Formal Specification of Mixed Components with Korrigan",
"doi": null,
"abstractUrl": "/proceedings-article/apsec/2001/14080169/12OmNyRPgGh",
"parentPublication": {
"id": "proceedings/apsec/2001/1408/0",
"title": "Proceedings Eighth Asia-Pacific Software Engineering Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ecbs/1998/0001/0/00010037abs",
"title": "Formal Requirements Specification for Command and Control Systems",
"doi": null,
"abstractUrl": "/proceedings-article/ecbs/1998/00010037abs/12OmNzIUfK9",
"parentPublication": {
"id": "proceedings/ecbs/1998/0001/0",
"title": "Engineering of Computer-Based Systems, IEEE International Conference on the",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1997/05/e0267",
"title": "Formal Requirements Analysis of an Avionics Control System",
"doi": null,
"abstractUrl": "/journal/ts/1997/05/e0267/13rRUB7a12I",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1994/09/e0684",
"title": "Requirements Specification for Process-Control Systems",
"doi": null,
"abstractUrl": "/journal/ts/1994/09/e0684/13rRUNvyamC",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1995/10/e0799",
"title": "A Formal Semantics for Object Model Diagrams",
"doi": null,
"abstractUrl": "/journal/ts/1995/10/e0799/13rRUwhpBPj",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/1991/05/e0454",
"title": "Informal and Formal Requirements Specification Languages: Bridging the Gap",
"doi": null,
"abstractUrl": "/journal/ts/1991/05/e0454/13rRUzp02pO",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzCWG57",
"title": "2017 IEEE International Conference on Software Testing, Verification and Validation (ICST)",
"acronym": "icst",
"groupId": "1001832",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNvjgWYc",
"doi": "10.1109/ICST.2017.48",
"title": "Generic and Effective Specification of Structural Test Objectives",
"normalizedTitle": "Generic and Effective Specification of Structural Test Objectives",
"abstract": "A large amount of research has been carried out to automate white-box testing. While a wide range of different and sometimes heterogeneous code-coverage criteria have been proposed, there exists no generic formalism to describe them all, and available test automation tools usually support only a small subset of them. We introduce a new specification language, called HTOL (Hyperlabel Test Objectives Language), providing a powerful generic mechanism to define a wide range of test objectives. HTOL comes with a formal semantics, and can encode all standard criteria but full mutations. Besides specification, HTOL is appealing in the context of test automation as it allows handling criteria in a unified way.",
"abstracts": [
{
"abstractType": "Regular",
"content": "A large amount of research has been carried out to automate white-box testing. While a wide range of different and sometimes heterogeneous code-coverage criteria have been proposed, there exists no generic formalism to describe them all, and available test automation tools usually support only a small subset of them. We introduce a new specification language, called HTOL (Hyperlabel Test Objectives Language), providing a powerful generic mechanism to define a wide range of test objectives. HTOL comes with a formal semantics, and can encode all standard criteria but full mutations. Besides specification, HTOL is appealing in the context of test automation as it allows handling criteria in a unified way.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "A large amount of research has been carried out to automate white-box testing. While a wide range of different and sometimes heterogeneous code-coverage criteria have been proposed, there exists no generic formalism to describe them all, and available test automation tools usually support only a small subset of them. We introduce a new specification language, called HTOL (Hyperlabel Test Objectives Language), providing a powerful generic mechanism to define a wide range of test objectives. HTOL comes with a formal semantics, and can encode all standard criteria but full mutations. Besides specification, HTOL is appealing in the context of test automation as it allows handling criteria in a unified way.",
"fno": "6031a436",
"keywords": [
"Testing",
"Automation",
"Taxonomy",
"Semantics",
"Tools",
"Encoding",
"Standards",
"White Box Testing",
"Coverage Criteria",
"MCDC",
"Test Objective Specification Language"
],
"authors": [
{
"affiliation": null,
"fullName": "Michaël Marcozzi",
"givenName": "Michaël",
"surname": "Marcozzi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Mickaël Delahaye",
"givenName": "Mickaël",
"surname": "Delahaye",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Sébastien Bardin",
"givenName": "Sébastien",
"surname": "Bardin",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Nikolai Kosmatov",
"givenName": "Nikolai",
"surname": "Kosmatov",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Virgile Prevosto",
"givenName": "Virgile",
"surname": "Prevosto",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icst",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-03-01T00:00:00",
"pubType": "proceedings",
"pages": "436-441",
"year": "2017",
"issn": null,
"isbn": "978-1-5090-6031-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "6031a430",
"articleId": "12OmNvjyxtc",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "6031a442",
"articleId": "12OmNBqdraZ",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/itc/2010/7206/0/05699254",
"title": "STIL P1450.4: A standard for test flow specification",
"doi": null,
"abstractUrl": "/proceedings-article/itc/2010/05699254/12OmNBgQFPh",
"parentPublication": {
"id": "proceedings/itc/2010/7206/0",
"title": "2010 IEEE International Test Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-icess/2010/4214/0/4214a544",
"title": "A Generic Execution Management Framework for Scientific Applications",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-icess/2010/4214a544/12OmNqIzgWn",
"parentPublication": {
"id": "proceedings/hpcc-icess/2010/4214/0",
"title": "High Performance Computing and Communication & IEEE International Conference on Embedded Software and Systems, IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icstw/2018/6352/0/635201a159",
"title": "The Next Level of Test Automation: What About the Users?",
"doi": null,
"abstractUrl": "/proceedings-article/icstw/2018/635201a159/12OmNvpew4P",
"parentPublication": {
"id": "proceedings/icstw/2018/6352/0",
"title": "2018 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccbss/2008/3091/0/3091a110",
"title": "A Generic Gateway for Testing Heterogeneous Components in Acceptance Testing Tools",
"doi": null,
"abstractUrl": "/proceedings-article/iccbss/2008/3091a110/12OmNwlZu40",
"parentPublication": {
"id": "proceedings/iccbss/2008/3091/0",
"title": "Commercial-off-the-Shelf (COTS)-Based Software Systems, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ast/2009/3711/0/05069043",
"title": "Automating structural testing of C programs: Experience with PathCrawler",
"doi": null,
"abstractUrl": "/proceedings-article/ast/2009/05069043/12OmNwlZu5F",
"parentPublication": {
"id": "proceedings/ast/2009/3711/0",
"title": "2009 ICSE Workshop on Automation of Software Test (AST 2009)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icst/2017/6031/0/6031a500",
"title": "Taming Coverage Criteria Heterogeneity with LTest",
"doi": null,
"abstractUrl": "/proceedings-article/icst/2017/6031a500/12OmNzahcdu",
"parentPublication": {
"id": "proceedings/icst/2017/6031/0",
"title": "2017 IEEE International Conference on Software Testing, Verification and Validation (ICST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2018/5638/0/563801a456",
"title": "Time to Clean Your Test Objectives",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2018/563801a456/13l5NXBGH86",
"parentPublication": {
"id": "proceedings/icse/2018/5638/0",
"title": "2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/01/08823048",
"title": "Interactive Architectural Design with Diverse Solution Exploration",
"doi": null,
"abstractUrl": "/journal/tg/2021/01/08823048/1d1yUrRVHlm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icstw/2021/4456/0/445600a263",
"title": "AI-based Test Automation: A Grey Literature Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icstw/2021/445600a263/1tYs8pV6emQ",
"parentPublication": {
"id": "proceedings/icstw/2021/4456/0",
"title": "2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552876",
"title": "Learning Objectives, Insights, and Assessments: How Specification Formats Impact Design",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552876/1xic1wsZtLi",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqHItAm",
"title": "2017 IEEE 25th International Requirements Engineering Conference (RE)",
"acronym": "re",
"groupId": "1000630",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxE2n0g",
"doi": "10.1109/RE.2017.20",
"title": "Usability Insights for Requirements Engineering Tools: A User Study with Practitioners in Aeronautics",
"normalizedTitle": "Usability Insights for Requirements Engineering Tools: A User Study with Practitioners in Aeronautics",
"abstract": "Requirements Engineering plays a crucial role in coordinating the different stakeholders needed for safe aeronautics systems engineering. We conducted a qualitative study, using interviews and mockups, with fifteen industrial practitioners from four aeronautics companies, in order to investigate what tasks are actually performed by requirements engineers and how current tools support these tasks. We found that RE-specific tools constrain engineers to a rigid workflow, which is conflicting with the adaptive exploration of the problem. Engineers often start by using general-purpose tools to foster exploration and collaborative work with suppliers, at the expense of traceability. When engineers shift to requirements refinement and verification, they must use RE-specific tools to grant traceability. Then, the lack of tool usability yields significant time loss and dissatisfaction. Based on scenarios of observed RE practices and walkthrough, we formulate usability insights for RE-specific tools in order to conciliate flexibility and traceability throughout the RE process.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Requirements Engineering plays a crucial role in coordinating the different stakeholders needed for safe aeronautics systems engineering. We conducted a qualitative study, using interviews and mockups, with fifteen industrial practitioners from four aeronautics companies, in order to investigate what tasks are actually performed by requirements engineers and how current tools support these tasks. We found that RE-specific tools constrain engineers to a rigid workflow, which is conflicting with the adaptive exploration of the problem. Engineers often start by using general-purpose tools to foster exploration and collaborative work with suppliers, at the expense of traceability. When engineers shift to requirements refinement and verification, they must use RE-specific tools to grant traceability. Then, the lack of tool usability yields significant time loss and dissatisfaction. Based on scenarios of observed RE practices and walkthrough, we formulate usability insights for RE-specific tools in order to conciliate flexibility and traceability throughout the RE process.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Requirements Engineering plays a crucial role in coordinating the different stakeholders needed for safe aeronautics systems engineering. We conducted a qualitative study, using interviews and mockups, with fifteen industrial practitioners from four aeronautics companies, in order to investigate what tasks are actually performed by requirements engineers and how current tools support these tasks. We found that RE-specific tools constrain engineers to a rigid workflow, which is conflicting with the adaptive exploration of the problem. Engineers often start by using general-purpose tools to foster exploration and collaborative work with suppliers, at the expense of traceability. When engineers shift to requirements refinement and verification, they must use RE-specific tools to grant traceability. Then, the lack of tool usability yields significant time loss and dissatisfaction. Based on scenarios of observed RE practices and walkthrough, we formulate usability insights for RE-specific tools in order to conciliate flexibility and traceability throughout the RE process.",
"fno": "3191a223",
"keywords": [
"Tools",
"Interviews",
"Visualization",
"Usability",
"Requirements Engineering",
"Companies",
"Practices",
"Industry",
"Usability",
"Tools",
"Aeronautics"
],
"authors": [
{
"affiliation": null,
"fullName": "Hélène Gaspard-Boulinc",
"givenName": "Hélène",
"surname": "Gaspard-Boulinc",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Stéphane Conversy",
"givenName": "Stéphane",
"surname": "Conversy",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "re",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-09-01T00:00:00",
"pubType": "proceedings",
"pages": "223-232",
"year": "2017",
"issn": "2332-6441",
"isbn": "978-1-5386-3191-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3191a213",
"articleId": "12OmNCga1RU",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3191a233",
"articleId": "12OmNzlUKLR",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/re/2016/4121/0/4121a076",
"title": "An Exploratory Study on User Interaction Challenges When Handling Interconnected Requirements Artifacts of Various Sizes",
"doi": null,
"abstractUrl": "/proceedings-article/re/2016/4121a076/12OmNqHqSmJ",
"parentPublication": {
"id": "proceedings/re/2016/4121/0",
"title": "2016 IEEE 24th International Requirements Engineering Conference (RE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/re/2017/3191/0/3191a462",
"title": "Choosing Requirements for Experimentation with User Interfaces of Requirements Modeling Tools",
"doi": null,
"abstractUrl": "/proceedings-article/re/2017/3191a462/12OmNwDSdkq",
"parentPublication": {
"id": "proceedings/re/2017/3191/0",
"title": "2017 IEEE 25th International Requirements Engineering Conference (RE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/re/2009/3761/0/3761a303",
"title": "Bridging the Gap Between Usability and Requirements Engineering",
"doi": null,
"abstractUrl": "/proceedings-article/re/2009/3761a303/12OmNzC5Tpr",
"parentPublication": {
"id": "proceedings/re/2009/3761/0",
"title": "2009 17th IEEE International Requirements Engineering Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/so/2011/04/mso2011040086",
"title": "Requirements Engineering Tools",
"doi": null,
"abstractUrl": "/magazine/so/2011/04/mso2011040086/13rRUxCRFUt",
"parentPublication": {
"id": "mags/so",
"title": "IEEE Software",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/re/2018/7418/0/741800a494",
"title": "FlexiView Experimental Tool: Fair and Detailed Usability Tests for Requirements Modeling Tools",
"doi": null,
"abstractUrl": "/proceedings-article/re/2018/741800a494/17D45VTRork",
"parentPublication": {
"id": "proceedings/re/2018/7418/0",
"title": "2018 IEEE 26th International Requirements Engineering Conference (RE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vlhcc/2017/0443/0/08103455",
"title": "The usability of task modeling tools",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2017/08103455/17D45Xbl4Qo",
"parentPublication": {
"id": "proceedings/vlhcc/2017/0443/0",
"title": "2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2018/1174/0/08658590",
"title": "Panel: Integrating Requirements Engineering Education into Core Engineering Disciplines",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2018/08658590/18j9rx7uoRG",
"parentPublication": {
"id": "proceedings/fie/2018/1174/0",
"title": "2018 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse-companion/2021/1219/0/121900a322",
"title": "NLP for Requirements Engineering: Tasks, Techniques, Tools, and Technologies",
"doi": null,
"abstractUrl": "/proceedings-article/icse-companion/2021/121900a322/1sET7LNltbq",
"parentPublication": {
"id": "proceedings/icse-companion/2021/1219/0/",
"title": "2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/saner/2021/9630/0/963000a237",
"title": "The Usability (or Not) of Refactoring Tools",
"doi": null,
"abstractUrl": "/proceedings-article/saner/2021/963000a237/1twfv76Yvrq",
"parentPublication": {
"id": "proceedings/saner/2021/9630/0",
"title": "2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/2022/11/09599463",
"title": "Systematic Evaluation and Usability Analysis of Formal Methods Tools for Railway Signaling System Design",
"doi": null,
"abstractUrl": "/journal/ts/2022/11/09599463/1yeCbSUqGDS",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNyKJibS",
"title": "2015 International Conference on Healthcare Informatics (ICHI)",
"acronym": "ichi",
"groupId": "1803080",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyUFfKj",
"doi": "10.1109/ICHI.2015.79",
"title": "Augmenting Drug Discussions in General Practice",
"normalizedTitle": "Augmenting Drug Discussions in General Practice",
"abstract": "This extended abstract discusses our ongoing research on augmenting the communication between an expert and a layman using interactive visualizations. We are currently designing an interactive table that assists patients and general practitioners (GPs) to explore drug information using a camera to recognize drug packages and a projector to visualize complex drug information directly around these packages.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This extended abstract discusses our ongoing research on augmenting the communication between an expert and a layman using interactive visualizations. We are currently designing an interactive table that assists patients and general practitioners (GPs) to explore drug information using a camera to recognize drug packages and a projector to visualize complex drug information directly around these packages.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This extended abstract discusses our ongoing research on augmenting the communication between an expert and a layman using interactive visualizations. We are currently designing an interactive table that assists patients and general practitioners (GPs) to explore drug information using a camera to recognize drug packages and a projector to visualize complex drug information directly around these packages.",
"fno": "9548a471",
"keywords": [
"Drugs",
"Data Visualization",
"Informatics",
"Interviews",
"Usability",
"Prototypes",
"Adverse Drug Reactions",
"Interactive Visualizations",
"Augment Human",
"Interactive Table"
],
"authors": [
{
"affiliation": null,
"fullName": "Robin De Croon",
"givenName": "Robin",
"surname": "De Croon",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ichi",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-10-01T00:00:00",
"pubType": "proceedings",
"pages": "471-471",
"year": "2015",
"issn": null,
"isbn": "978-1-4673-9548-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "9548a470",
"articleId": "12OmNs59JRw",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "9548a472",
"articleId": "12OmNArthcJ",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ichi/2013/5089/0/5089a030",
"title": "Toward Creating a Gold Standard of Drug Indications from FDA Drug Labels",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2013/5089a030/12OmNB1eJDK",
"parentPublication": {
"id": "proceedings/ichi/2013/5089/0",
"title": "2013 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2017/4881/0/4881a331",
"title": "Off-Label Drug Use Detection Based on Heterogeneous Network Mining",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2017/4881a331/12OmNCdBDPE",
"parentPublication": {
"id": "proceedings/ichi/2017/4881/0",
"title": "2017 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2014/4103/0/4103a302",
"title": "iSyn: WebGL-Based Interactive De Novo Drug Design",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2014/4103a302/12OmNqAU6AN",
"parentPublication": {
"id": "proceedings/iv/2014/4103/0",
"title": "2014 18th International Conference on Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2018/5377/0/537701a022",
"title": "Exploiting OHC Data with Tensor Decomposition for Off-Label Drug Use Detection",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2018/537701a022/12OmNqOOrMj",
"parentPublication": {
"id": "proceedings/ichi/2018/5377/0",
"title": "2018 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2015/9548/0/9548a494",
"title": "Toward a Complete Database of Drug Repurposing Candidates Extracted from Social Media, Biomedical Literature, and Genetic Data",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2015/9548a494/12OmNvTTcaG",
"parentPublication": {
"id": "proceedings/ichi/2015/9548/0",
"title": "2015 International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/1993/3230/1/00270677",
"title": "An approach to intelligent drug design support",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/1993/00270677/12OmNxeM46L",
"parentPublication": {
"id": "proceedings/hicss/1993/3230/1",
"title": "1993 The Twenty-sixth Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iciibms/2015/8562/0/07439493",
"title": "Application of machine leaning approaches in drug target identification and network pharmacology",
"doi": null,
"abstractUrl": "/proceedings-article/iciibms/2015/07439493/12OmNxecS1g",
"parentPublication": {
"id": "proceedings/iciibms/2015/8562/0",
"title": "2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2011/0868/0/06004005",
"title": "Interactive Drug Design in Virtual Reality",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2011/06004005/12OmNz61cYQ",
"parentPublication": {
"id": "proceedings/iv/2011/0868/0",
"title": "2011 15th International Conference on Information Visualisation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2018/5520/0/552000b565",
"title": "MeDIAR: Multi-Drug Adverse Reactions Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2018/552000b565/14Fq0V7LOyF",
"parentPublication": {
"id": "proceedings/icde/2018/5520/0",
"title": "2018 IEEE 34th International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2022/6819/0/09995152",
"title": "MilGNet: A Multi-instance Learning-based Heterogeneous Graph Network for Drug repositioning",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2022/09995152/1JC22mZb7nq",
"parentPublication": {
"id": "proceedings/bibm/2022/6819/0",
"title": "2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNBfZSj8",
"title": "2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)",
"acronym": "vast",
"groupId": "1001630",
"volume": "0",
"displayVolume": "0",
"year": "2012",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxdm4ya",
"doi": "10.1109/VAST.2012.6400558",
"title": "SocialNetSense: Supporting sensemaking of social and structural features in networks with interactive visualization",
"normalizedTitle": "SocialNetSense: Supporting sensemaking of social and structural features in networks with interactive visualization",
"abstract": "Increasingly, social network datasets contain social attribute information about actors and their relationship. Analyzing such network with social attributes requires making sense of not only its structural features, but also the relationship between social features in attributes and network structures. Existing social network analysis tools are usually weak in supporting complex analytical tasks involving both structural and social features, and often overlook users' needs for sensemaking tools that help to gather, synthesize, and organize information of these features. To address these challenges, we propose a sensemaking framework of social-network visual analytics in this paper. This framework considers both bottom-up processes, which are about constructing new understandings based on collected information, and top-down processes, which concern using prior knowledge to guide information collection, in analyzing social networks from both social and structural perspectives. The framework also emphasizes the externalization of sensemaking processes through interactive visualization. Guided by the framework, we develop a system, SocialNetSense, to support the sensemaking in visual analytics of social networks with social attributes. The example of using our system to analyze a scholar collaboration network shows that our approach can help users gain insight into social networks both structurally and socially, and enhance their process awareness in visual analytics.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Increasingly, social network datasets contain social attribute information about actors and their relationship. Analyzing such network with social attributes requires making sense of not only its structural features, but also the relationship between social features in attributes and network structures. Existing social network analysis tools are usually weak in supporting complex analytical tasks involving both structural and social features, and often overlook users' needs for sensemaking tools that help to gather, synthesize, and organize information of these features. To address these challenges, we propose a sensemaking framework of social-network visual analytics in this paper. This framework considers both bottom-up processes, which are about constructing new understandings based on collected information, and top-down processes, which concern using prior knowledge to guide information collection, in analyzing social networks from both social and structural perspectives. The framework also emphasizes the externalization of sensemaking processes through interactive visualization. Guided by the framework, we develop a system, SocialNetSense, to support the sensemaking in visual analytics of social networks with social attributes. The example of using our system to analyze a scholar collaboration network shows that our approach can help users gain insight into social networks both structurally and socially, and enhance their process awareness in visual analytics.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Increasingly, social network datasets contain social attribute information about actors and their relationship. Analyzing such network with social attributes requires making sense of not only its structural features, but also the relationship between social features in attributes and network structures. Existing social network analysis tools are usually weak in supporting complex analytical tasks involving both structural and social features, and often overlook users' needs for sensemaking tools that help to gather, synthesize, and organize information of these features. To address these challenges, we propose a sensemaking framework of social-network visual analytics in this paper. This framework considers both bottom-up processes, which are about constructing new understandings based on collected information, and top-down processes, which concern using prior knowledge to guide information collection, in analyzing social networks from both social and structural perspectives. The framework also emphasizes the externalization of sensemaking processes through interactive visualization. Guided by the framework, we develop a system, SocialNetSense, to support the sensemaking in visual analytics of social networks with social attributes. The example of using our system to analyze a scholar collaboration network shows that our approach can help users gain insight into social networks both structurally and socially, and enhance their process awareness in visual analytics.",
"fno": "06400558",
"keywords": [
"Social Network Services",
"Data Visualization",
"Visual Analytics",
"Educational Institutions",
"Collaboration",
"History",
"Social Net Sense",
"Social Network",
"Visualization",
"Sensemaking",
"Visual Analytics"
],
"authors": [
{
"affiliation": "Pennsylvania State Univ., University Park, PA, USA",
"fullName": "Liang Gou",
"givenName": null,
"surname": "Liang Gou",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Pennsylvania State Univ., University Park, PA, USA",
"fullName": "Xiaolong Zhang",
"givenName": null,
"surname": "Xiaolong Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Univ. of Michigan, Ann Arbor, MI, USA",
"fullName": "Airong Luo",
"givenName": null,
"surname": "Airong Luo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Univ. of Michigan, Ann Arbor, MI, USA",
"fullName": "P. F. Anderson",
"givenName": "P. F.",
"surname": "Anderson",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vast",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2012-10-01T00:00:00",
"pubType": "proceedings",
"pages": "133-142",
"year": "2012",
"issn": null,
"isbn": "978-1-4673-4752-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "06400531",
"articleId": "12OmNvnwViC",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06400532",
"articleId": "12OmNyY4ru7",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/vlhcc/2016/0252/0/07739710",
"title": "Supporting Collaborative Information Analysis with Interactive Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2016/07739710/12OmNyQpgMG",
"parentPublication": {
"id": "proceedings/vlhcc/2016/0252/0",
"title": "2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2016/5670/0/5670a807",
"title": "Supporting Organizational Sensemaking with Collaboration Engineering",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2016/5670a807/12OmNzTYCaS",
"parentPublication": {
"id": "proceedings/hicss/2016/5670/0",
"title": "2016 49th Hawaii International Conference on System Sciences (HICSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07194834",
"title": "SensePath: Understanding the Sensemaking Process Through Analytic Provenance",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07194834/13rRUEgarnM",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122207",
"title": "The Impact of Physical Navigation on Spatial Organization for Sensemaking",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122207/13rRUwI5TQZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/12/ttg2012122869",
"title": "Examining the Use of a Visual Analytics System for Sensemaking Tasks: Case Studies with Domain Experts",
"doi": null,
"abstractUrl": "/journal/tg/2012/12/ttg2012122869/13rRUxNmPDT",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/01/08017596",
"title": "Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2018/01/08017596/13rRUytWF9s",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2017/3163/0/08585484",
"title": "CRICTO: Supporting Sensemaking through Crowdsourced Information Schematization",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2017/08585484/17D45Wc1ILV",
"parentPublication": {
"id": "proceedings/vast/2017/3163/0",
"title": "2017 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09894094",
"title": "Exploring the Evolution of Sensemaking Strategies in Immersive Space to Think",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09894094/1GIqpC6j7na",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/10/09382844",
"title": "Interactive Visual Exploration of Longitudinal Historical Career Mobility Data",
"doi": null,
"abstractUrl": "/journal/tg/2022/10/09382844/1saZr0JHX5C",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2021/3335/0/333500a181",
"title": "Narrative Sensemaking: Strategies for Narrative Maps Construction",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2021/333500a181/1yXuj3PJXRm",
"parentPublication": {
"id": "proceedings/vis/2021/3335/0",
"title": "2021 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKirC",
"title": "2017 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"acronym": "vast",
"groupId": "1001630",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45Wc1ILV",
"doi": "10.1109/VAST.2017.8585484",
"title": "CRICTO: Supporting Sensemaking through Crowdsourced Information Schematization",
"normalizedTitle": "CRICTO: Supporting Sensemaking through Crowdsourced Information Schematization",
"abstract": "We present CRICTO, a new crowdsourcing visual analytics environment for making sense of and analyzing text data, whereby multiple crowdworkers are able to parallelize the simple information schematization tasks of relating and connecting entities across documents. The diverse links from these schematization tasks are then automatically combined and the system visualizes them based on the semantic types of the linkages. CRICTO also includes several tools that allow analysts to interactively explore and refine crowdworkers' results to better support their own sensemaking processes. We evaluated CRICTO's techniques and analysis workflow with deployments of CRICTO using Amazon Mechanical Turk and a user study that assess the effect of crowdsourced schematization in sensemaking tasks. The results of our evaluation show that CRICTO's crowdsourcing approaches and workflow help analysts explore diverse aspects of datasets, and uncover more accurate hidden stories embedded in the text datasets.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We present CRICTO, a new crowdsourcing visual analytics environment for making sense of and analyzing text data, whereby multiple crowdworkers are able to parallelize the simple information schematization tasks of relating and connecting entities across documents. The diverse links from these schematization tasks are then automatically combined and the system visualizes them based on the semantic types of the linkages. CRICTO also includes several tools that allow analysts to interactively explore and refine crowdworkers' results to better support their own sensemaking processes. We evaluated CRICTO's techniques and analysis workflow with deployments of CRICTO using Amazon Mechanical Turk and a user study that assess the effect of crowdsourced schematization in sensemaking tasks. The results of our evaluation show that CRICTO's crowdsourcing approaches and workflow help analysts explore diverse aspects of datasets, and uncover more accurate hidden stories embedded in the text datasets.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We present CRICTO, a new crowdsourcing visual analytics environment for making sense of and analyzing text data, whereby multiple crowdworkers are able to parallelize the simple information schematization tasks of relating and connecting entities across documents. The diverse links from these schematization tasks are then automatically combined and the system visualizes them based on the semantic types of the linkages. CRICTO also includes several tools that allow analysts to interactively explore and refine crowdworkers' results to better support their own sensemaking processes. We evaluated CRICTO's techniques and analysis workflow with deployments of CRICTO using Amazon Mechanical Turk and a user study that assess the effect of crowdsourced schematization in sensemaking tasks. The results of our evaluation show that CRICTO's crowdsourcing approaches and workflow help analysts explore diverse aspects of datasets, and uncover more accurate hidden stories embedded in the text datasets.",
"fno": "08585484",
"keywords": [
"Crowdsourcing",
"Data Analysis",
"Data Visualisation",
"Text Analysis",
"Crowdsourced Information Schematization",
"Crowdsourcing Visual Analytics Environment",
"Sensemaking Processes",
"Text Data Analysis",
"CRICTO",
"Amazon Mechanical Turk",
"Task Analysis",
"Crowdsourcing",
"Visual Analytics",
"Data Visualization",
"Tools",
"Collaboration",
"Visual Text Analytics",
"Sensemaking",
"Crowdsourcing"
],
"authors": [
{
"affiliation": "University of Alabama in Huntsville",
"fullName": "Haeyong Chung",
"givenName": "Haeyong",
"surname": "Chung",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Alabama in Huntsville",
"fullName": "Sai Prashanth Dasari",
"givenName": "Sai Prashanth",
"surname": "Dasari",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Alabama in Huntsville",
"fullName": "Santhosh Nandhakumar",
"givenName": "Santhosh",
"surname": "Nandhakumar",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Middlebury College",
"fullName": "Christopher Andrews",
"givenName": "Christopher",
"surname": "Andrews",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vast",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-10-01T00:00:00",
"pubType": "proceedings",
"pages": "139-150",
"year": "2017",
"issn": null,
"isbn": "978-1-5386-3163-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08585505",
"articleId": "17D45XzbnJr",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08585647",
"articleId": "17D45VTRouU",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/vast/2012/4752/0/06400558",
"title": "SocialNetSense: Supporting sensemaking of social and structural features in networks with interactive visualization",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2012/06400558/12OmNxdm4ya",
"parentPublication": {
"id": "proceedings/vast/2012/4752/0",
"title": "2012 IEEE Conference on Visual Analytics Science and Technology (VAST 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/eisic/2015/8657/0/8657a177",
"title": "Guidelines for Sensemaking in Intelligence Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/eisic/2015/8657a177/12OmNzTYBR1",
"parentPublication": {
"id": "proceedings/eisic/2015/8657/0",
"title": "2015 European Intelligence and Security Informatics Conference (EISIC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csi-se/2018/5733/0/573301a009",
"title": "Competence, Collaboration, and Time Management: Barriers and Recommendations for Crowdworkers",
"doi": null,
"abstractUrl": "/proceedings-article/csi-se/2018/573301a009/13bd1fph1yA",
"parentPublication": {
"id": "proceedings/csi-se/2018/5733/0",
"title": "2018 IEEE/ACM 5th International Workshop on Crowd Sourcing in Software Engineering (CSI-SE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07194834",
"title": "SensePath: Understanding the Sensemaking Process Through Analytic Provenance",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07194834/13rRUEgarnM",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/01/08017596",
"title": "Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2018/01/08017596/13rRUytWF9s",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09894094",
"title": "Exploring the Evolution of Sensemaking Strategies in Immersive Space to Think",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09894094/1GIqpC6j7na",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigcomp/2023/7578/0/757800a113",
"title": "Evaluating Mitigation Approaches for Adversarial Attacks in Crowdwork",
"doi": null,
"abstractUrl": "/proceedings-article/bigcomp/2023/757800a113/1LFLDKeH0Nq",
"parentPublication": {
"id": "proceedings/bigcomp/2023/7578/0",
"title": "2023 IEEE International Conference on Big Data and Smart Computing (BigComp)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ase/2019/2508/0/250800b277",
"title": "Crowdsourced Report Generation via Bug Screenshot Understanding",
"doi": null,
"abstractUrl": "/proceedings-article/ase/2019/250800b277/1gysZPvM76w",
"parentPublication": {
"id": "proceedings/ase/2019/2508/0",
"title": "2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a191",
"title": "CrowdTrace: Visualizing Provenance in Distributed Sensemaking",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a191/1qROdAHfNWU",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2021/3335/0/333500a181",
"title": "Narrative Sensemaking: Strategies for Narrative Maps Construction",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2021/333500a181/1yXuj3PJXRm",
"parentPublication": {
"id": "proceedings/vis/2021/3335/0",
"title": "2021 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1y4oEtZzwCQ",
"title": "2021 25th International Conference Information Visualisation (IV)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1y4oJ30dpcY",
"doi": "10.1109/IV53921.2021.00041",
"title": "Visual Analytics and Similarity Search - Interest-based Similarity Search in Scientific Data",
"normalizedTitle": "Visual Analytics and Similarity Search - Interest-based Similarity Search in Scientific Data",
"abstract": "Visual Analytics enables solving complex analytical tasks by coupling interactive visualizations and machine learning approaches. Besides the analytical reasoning enabled through Visual Analytics, the exploration of data plays an essential role. The exploration process can be supported through similarity-based approaches that enable finding similar data to those annotated in the context of visual exploration. We propose in this paper a process of annotation in the context of exploration that leads to labeled vectors-of-interest and enables finding similar publications based on interest vectors. The generation and labeling of the interest vectors are performed automatically by the Visual Analytics system and lead to finding similar papers and categorizing the annotated papers. With this approach, we provide a categorized similarity search based on an automatically labeled interest matrix in Visual Analytics.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Visual Analytics enables solving complex analytical tasks by coupling interactive visualizations and machine learning approaches. Besides the analytical reasoning enabled through Visual Analytics, the exploration of data plays an essential role. The exploration process can be supported through similarity-based approaches that enable finding similar data to those annotated in the context of visual exploration. We propose in this paper a process of annotation in the context of exploration that leads to labeled vectors-of-interest and enables finding similar publications based on interest vectors. The generation and labeling of the interest vectors are performed automatically by the Visual Analytics system and lead to finding similar papers and categorizing the annotated papers. With this approach, we provide a categorized similarity search based on an automatically labeled interest matrix in Visual Analytics.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Visual Analytics enables solving complex analytical tasks by coupling interactive visualizations and machine learning approaches. Besides the analytical reasoning enabled through Visual Analytics, the exploration of data plays an essential role. The exploration process can be supported through similarity-based approaches that enable finding similar data to those annotated in the context of visual exploration. We propose in this paper a process of annotation in the context of exploration that leads to labeled vectors-of-interest and enables finding similar publications based on interest vectors. The generation and labeling of the interest vectors are performed automatically by the Visual Analytics system and lead to finding similar papers and categorizing the annotated papers. With this approach, we provide a categorized similarity search based on an automatically labeled interest matrix in Visual Analytics.",
"fno": "382700a211",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Interactive Systems",
"Learning Artificial Intelligence",
"Visual Analytics",
"Similarity Search Interest",
"Complex Analytical Tasks",
"Interactive Visualizations",
"Machine Learning Approaches",
"Analytical Reasoning",
"Similarity Based Approaches",
"Visual Exploration",
"Similar Publications",
"Interest Vectors",
"Lead",
"Similar Papers",
"Categorized Similarity Search",
"Couplings",
"Annotations",
"Visual Analytics",
"Data Visualization",
"Machine Learning",
"Data Models",
"Labeling",
"Visual Analytics",
"Similarity",
"Collaborative Systems",
"Trend Analytics",
"Visual Business Analytics"
],
"authors": [
{
"affiliation": "Darmstadt University of Applied Sciences,Human-Computer Interaction and Visual Analytics,Department of Media & Department of Computer Science,Darmstadt,Germany",
"fullName": "Midhad Blazevic",
"givenName": "Midhad",
"surname": "Blazevic",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Darmstadt University of Applied Sciences,Human-Computer Interaction and Visual Analytics,Department of Media & Department of Computer Science,Darmstadt,Germany",
"fullName": "Lennart B. Sina",
"givenName": "Lennart B.",
"surname": "Sina",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Darmstadt University of Applied Sciences,Human-Computer Interaction and Visual Analytics,Department of Media & Department of Computer Science,Darmstadt,Germany",
"fullName": "Dirk Burkhardt",
"givenName": "Dirk",
"surname": "Burkhardt",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Darmstadt University of Applied Sciences,Human-Computer Interaction and Visual Analytics,Department of Media & Department of Computer Science,Darmstadt,Germany",
"fullName": "Melanie Siegel",
"givenName": "Melanie",
"surname": "Siegel",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Darmstadt University of Applied Sciences,Human-Computer Interaction and Visual Analytics,Department of Media & Department of Computer Science,Darmstadt,Germany",
"fullName": "Kawa Nazemi",
"givenName": "Kawa",
"surname": "Nazemi",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-07-01T00:00:00",
"pubType": "proceedings",
"pages": "211-217",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-3827-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "382700a205",
"articleId": "1y4oFKamgCs",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "382700a218",
"articleId": "1y4oIPnbyYU",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2015/7568/0/7568a300",
"title": "A Visualization-Analytics-Interaction Workflow Framework for Exploratory and Explanatory Search on Geo-located Search Data Using the Meme Media Digital Dashboard",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2015/7568a300/12OmNqGA5ep",
"parentPublication": {
"id": "proceedings/iv/2015/7568/0",
"title": "2015 19th International Conference on Information Visualisation (iV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/re/2013/5765/0/06636762",
"title": "Visual analytics for software requirements engineering",
"doi": null,
"abstractUrl": "/proceedings-article/re/2013/06636762/12OmNrJ11yp",
"parentPublication": {
"id": "proceedings/re/2013/5765/0",
"title": "2013 IEEE 21st International Requirements Engineering Conference (RE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2017/5738/0/08031598",
"title": "Aeonium: Visual analytics to support collaborative qualitative coding",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2017/08031598/12OmNvwTGDl",
"parentPublication": {
"id": "proceedings/pacificvis/2017/5738/0",
"title": "2017 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2014/6227/0/07042482",
"title": "An insight- and task-based methodology for evaluating spatiotemporal visual analytics",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2014/07042482/12OmNwp74wP",
"parentPublication": {
"id": "proceedings/vast/2014/6227/0",
"title": "2014 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06875967",
"title": "Knowledge Generation Model for Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06875967/13rRUILLkvt",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/2013/08/mco2013080090",
"title": "Bixplorer: Visual Analytics with Biclusters",
"doi": null,
"abstractUrl": "/magazine/co/2013/08/mco2013080090/13rRUwcAqvs",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cs/2018/01/mcs2018010093",
"title": "Graph-Based Techniques for Visual Analytics of Scientific Data Sets",
"doi": null,
"abstractUrl": "/magazine/cs/2018/01/mcs2018010093/13rRUwcS1Ad",
"parentPublication": {
"id": "mags/cs",
"title": "Computing in Science & Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/2013/07/mco2013070030",
"title": "Visual Analytics Support for Intelligence Analysis",
"doi": null,
"abstractUrl": "/magazine/co/2013/07/mco2013070030/13rRUxD9h0P",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2015/04/mcg2015040094",
"title": "Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2015/04/mcg2015040094/13rRUxOveck",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/01/07539297",
"title": "Visual Analytics for Mobile Eye Tracking",
"doi": null,
"abstractUrl": "/journal/tg/2017/01/07539297/13rRUyv53Fx",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1yNhhO1DoSQ",
"title": "2021 IEEE Workshop on Machine Learning from User Interactions (MLUI)",
"acronym": "mlui",
"groupId": "1844124",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1yNhhY4pkgo",
"doi": "10.1109/MLUI54255.2021.00006",
"title": "DocTable: Table-Oriented Interactive Machine Learning for Text Corpora",
"normalizedTitle": "DocTable: Table-Oriented Interactive Machine Learning for Text Corpora",
"abstract": "People working today with text data in any domain must develop understanding based on more documents than they can directly read. Tools exist that take advantage of visual analytics for a variety of text data tasks, including for technical experts, particularly in certain domains like intelligence and law. There is a missed opportunity to apply human-in-the-loop (HIL) machine learning to assist a general audience with text analysis tasks over large corpora that are difficult with visualization alone. In this paper, we propose an alternate approach to efficient sensemaking over document corpora, designed for users without technical expertise or training. We use a table-based interface, where the primary means of providing feedback to the machine is interactions with a data table view. This format is familiar to many, and augments the ability to tag documents into user-defined categories with machine learning that automatically predicts categories for additional documents. Marking only a few documents enables the machine learner to suggest automatic labels for the rest (with uncertainty scores for the predictions), and to reorder the table to reflect an integrated mix of the category models. Finally, interactive, force-directed layouts of topics and documents based on the models assist in sensemaking for workflow that scales beyond the practical limits of a table. To validate the technique, we present a prototype human-in-the-loop machine learning system, DocTable. We evaluate this technique with machine learning experiments that demonstrate the quality of the backend’s response to expected user inputs, a usage scenario to demonstrate its use on real world data, and a case study of expert feedback from our journalist collaborators.",
"abstracts": [
{
"abstractType": "Regular",
"content": "People working today with text data in any domain must develop understanding based on more documents than they can directly read. Tools exist that take advantage of visual analytics for a variety of text data tasks, including for technical experts, particularly in certain domains like intelligence and law. There is a missed opportunity to apply human-in-the-loop (HIL) machine learning to assist a general audience with text analysis tasks over large corpora that are difficult with visualization alone. In this paper, we propose an alternate approach to efficient sensemaking over document corpora, designed for users without technical expertise or training. We use a table-based interface, where the primary means of providing feedback to the machine is interactions with a data table view. This format is familiar to many, and augments the ability to tag documents into user-defined categories with machine learning that automatically predicts categories for additional documents. Marking only a few documents enables the machine learner to suggest automatic labels for the rest (with uncertainty scores for the predictions), and to reorder the table to reflect an integrated mix of the category models. Finally, interactive, force-directed layouts of topics and documents based on the models assist in sensemaking for workflow that scales beyond the practical limits of a table. To validate the technique, we present a prototype human-in-the-loop machine learning system, DocTable. We evaluate this technique with machine learning experiments that demonstrate the quality of the backend’s response to expected user inputs, a usage scenario to demonstrate its use on real world data, and a case study of expert feedback from our journalist collaborators.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "People working today with text data in any domain must develop understanding based on more documents than they can directly read. Tools exist that take advantage of visual analytics for a variety of text data tasks, including for technical experts, particularly in certain domains like intelligence and law. There is a missed opportunity to apply human-in-the-loop (HIL) machine learning to assist a general audience with text analysis tasks over large corpora that are difficult with visualization alone. In this paper, we propose an alternate approach to efficient sensemaking over document corpora, designed for users without technical expertise or training. We use a table-based interface, where the primary means of providing feedback to the machine is interactions with a data table view. This format is familiar to many, and augments the ability to tag documents into user-defined categories with machine learning that automatically predicts categories for additional documents. Marking only a few documents enables the machine learner to suggest automatic labels for the rest (with uncertainty scores for the predictions), and to reorder the table to reflect an integrated mix of the category models. Finally, interactive, force-directed layouts of topics and documents based on the models assist in sensemaking for workflow that scales beyond the practical limits of a table. To validate the technique, we present a prototype human-in-the-loop machine learning system, DocTable. We evaluate this technique with machine learning experiments that demonstrate the quality of the backend’s response to expected user inputs, a usage scenario to demonstrate its use on real world data, and a case study of expert feedback from our journalist collaborators.",
"fno": "137200a001",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Interactive Systems",
"Learning Artificial Intelligence",
"Natural Language Processing",
"Text Analysis",
"User Interfaces",
"Additional Documents",
"Category Models",
"Data Table View",
"Doc Table",
"Document Corpora",
"Efficient Sensemaking",
"Expected User Inputs",
"Expert Feedback",
"Force Directed Layouts",
"General Audience",
"Law",
"Machine Learner",
"Machine Learning Experiments",
"Missed Opportunity",
"Prototype Human In The Loop Machine",
"Table Based Interface",
"Table Oriented Interactive Machine",
"Technical Expertise",
"Technical Experts",
"Text Analysis Tasks",
"Text Corpora",
"Text Data Tasks",
"User Defined Categories",
"Visual Analytics",
"Training",
"Uncertainty",
"Text Analysis",
"Visual Analytics",
"Prototypes",
"Data Visualization",
"Machine Learning",
"Text Data",
"Journalism",
"Human In The Loop",
"Interactive Machine Learning",
"Machine Learning"
],
"authors": [
{
"affiliation": "DePaul University",
"fullName": "Sriram Yarlagadda",
"givenName": "Sriram",
"surname": "Yarlagadda",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "DePaul University",
"fullName": "David J. Scroggins",
"givenName": "David J.",
"surname": "Scroggins",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "DePaul University",
"fullName": "Fang Cao",
"givenName": "Fang",
"surname": "Cao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "DePaul University",
"fullName": "Yeshwanth Devabhaktuni",
"givenName": "Yeshwanth",
"surname": "Devabhaktuni",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "DePaul University",
"fullName": "Franklin Buitron",
"givenName": "Franklin",
"surname": "Buitron",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "DePaul University",
"fullName": "Eli T. Brown",
"givenName": "Eli T.",
"surname": "Brown",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "mlui",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-10-01T00:00:00",
"pubType": "proceedings",
"pages": "1-11",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-1372-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "137200z006",
"articleId": "1yNhj6wCmXe",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "137200a012",
"articleId": "1yNhiLP2gLu",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ictai/2011/4596/0/4596a936",
"title": "TopicView: Visually Comparing Topic Models of Text Collections",
"doi": null,
"abstractUrl": "/proceedings-article/ictai/2011/4596a936/12OmNArKSif",
"parentPublication": {
"id": "proceedings/ictai/2011/4596/0",
"title": "2011 IEEE 23rd International Conference on Tools with Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icais/2002/1733/0/17330444",
"title": "Toward Content Based Retrieval from Scientific Text Corpora",
"doi": null,
"abstractUrl": "/proceedings-article/icais/2002/17330444/12OmNwdbVdg",
"parentPublication": {
"id": "proceedings/icais/2002/1733/0",
"title": "Proceedings 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/12/ttg2012122839",
"title": "Visual Classifier Training for Text Document Retrieval",
"doi": null,
"abstractUrl": "/journal/tg/2012/12/ttg2012122839/13rRUB6Sq0z",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010061172",
"title": "FacetAtlas: Multifaceted Visualization for Rich Text Corpora",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010061172/13rRUEgs2BR",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/2012/02/mco2012020073",
"title": "Discovering the Ebb and Flow of Ideas from Text Corpora",
"doi": null,
"abstractUrl": "/magazine/co/2012/02/mco2012020073/13rRUx0xPMa",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06875938",
"title": "How Hierarchical Topics Evolve in Large Text Corpora",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06875938/13rRUxd2aZ2",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/01/ttg2012010093",
"title": "EventRiver: Visually Exploring Text Collections with Temporal References",
"doi": null,
"abstractUrl": "/journal/tg/2012/01/ttg2012010093/13rRUxly8SS",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2022/2335/0/233500a181",
"title": "VANT: A Visual Analytics System for Refining Parallel Corpora in Neural Machine Translation",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2022/233500a181/1E2wjMIkR5m",
"parentPublication": {
"id": "proceedings/pacificvis/2022/2335/0",
"title": "2022 IEEE 15th Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09894094",
"title": "Exploring the Evolution of Sensemaking Strategies in Immersive Space to Think",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09894094/1GIqpC6j7na",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2018/6861/0/08802424",
"title": "The Effect of Semantic Interaction on Foraging in Text Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2018/08802424/1cJ6XAJz7gc",
"parentPublication": {
"id": "proceedings/vast/2018/6861/0",
"title": "2018 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1yXu6NL4pqw",
"title": "2021 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1yXuj3PJXRm",
"doi": "10.1109/VIS49827.2021.9623296",
"title": "Narrative Sensemaking: Strategies for Narrative Maps Construction",
"normalizedTitle": "Narrative Sensemaking: Strategies for Narrative Maps Construction",
"abstract": "Narrative sensemaking is a fundamental process to understand sequential information. Narrative maps are a visual representation framework that can aid analysts in this process. They allow analysts to understand the big picture of a narrative, uncover new relationships between events, and model connections between storylines. As a sensemaking tool, narrative maps have applications in intelligence analysis, misinformation modeling, and computational journalism. In this work, we seek to understand how analysts construct narrative maps in order to improve narrative map representation and extraction methods. We perform an experiment with a data set of news articles. Our main contribution is an analysis of how analysts construct narrative maps. The insights extracted from our study can be used to design narrative map visualizations, extraction algorithms, and visual analytics tools to support the sensemaking process.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Narrative sensemaking is a fundamental process to understand sequential information. Narrative maps are a visual representation framework that can aid analysts in this process. They allow analysts to understand the big picture of a narrative, uncover new relationships between events, and model connections between storylines. As a sensemaking tool, narrative maps have applications in intelligence analysis, misinformation modeling, and computational journalism. In this work, we seek to understand how analysts construct narrative maps in order to improve narrative map representation and extraction methods. We perform an experiment with a data set of news articles. Our main contribution is an analysis of how analysts construct narrative maps. The insights extracted from our study can be used to design narrative map visualizations, extraction algorithms, and visual analytics tools to support the sensemaking process.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Narrative sensemaking is a fundamental process to understand sequential information. Narrative maps are a visual representation framework that can aid analysts in this process. They allow analysts to understand the big picture of a narrative, uncover new relationships between events, and model connections between storylines. As a sensemaking tool, narrative maps have applications in intelligence analysis, misinformation modeling, and computational journalism. In this work, we seek to understand how analysts construct narrative maps in order to improve narrative map representation and extraction methods. We perform an experiment with a data set of news articles. Our main contribution is an analysis of how analysts construct narrative maps. The insights extracted from our study can be used to design narrative map visualizations, extraction algorithms, and visual analytics tools to support the sensemaking process.",
"fno": "333500a181",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Multimedia Computing",
"Narrative Sensemaking",
"Narrative Maps Construction",
"Narrative Map Representation",
"Extraction Methods",
"Narrative Map Visualizations",
"Visual Analytics Tools",
"Intelligence Analysis",
"Misinformation Modeling",
"Computational Journalism",
"Storylines",
"Training",
"Analytical Models",
"Design Methodology",
"Computational Modeling",
"Visual Analytics",
"Layout",
"Data Visualization",
"Human Centered Computing",
"Visualization",
"Empirical Studies In Visualization",
"Human Centered Visualization",
"Visualization Techniques",
"Graph Drawings"
],
"authors": [
{
"affiliation": "Virginia Tech Universidad Católica del Norte",
"fullName": "Brian Felipe Keith Norambuena",
"givenName": "Brian Felipe Keith",
"surname": "Norambuena",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Washington",
"fullName": "Tanushree Mitra",
"givenName": "Tanushree",
"surname": "Mitra",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Virginia Tech",
"fullName": "Chris North",
"givenName": "Chris",
"surname": "North",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-10-01T00:00:00",
"pubType": "proceedings",
"pages": "181-185",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-3335-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1yXuj0zlY7m",
"name": "pvis202133350-09623296s1-mm_333500a181.zip",
"size": "2.16 MB",
"location": "https://www.computer.org/csdl/api/v1/extra/pvis202133350-09623296s1-mm_333500a181.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "333500a176",
"articleId": "1yXuap1r0yI",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "333500a186",
"articleId": "1yXu8QMz7iw",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/eisic/2015/8657/0/8657a177",
"title": "Guidelines for Sensemaking in Intelligence Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/eisic/2015/8657a177/12OmNzTYBR1",
"parentPublication": {
"id": "proceedings/eisic/2015/8657/0",
"title": "2015 European Intelligence and Security Informatics Conference (EISIC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2015/03/mcg2015030056",
"title": "Analytic Provenance for Sensemaking: A Research Agenda",
"doi": null,
"abstractUrl": "/magazine/cg/2015/03/mcg2015030056/13rRUB7a13F",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07194834",
"title": "SensePath: Understanding the Sensemaking Process Through Analytic Provenance",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07194834/13rRUEgarnM",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122207",
"title": "The Impact of Physical Navigation on Spatial Organization for Sensemaking",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122207/13rRUwI5TQZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/12/ttg2012122869",
"title": "Examining the Use of a Visual Analytics System for Sensemaking Tasks: Case Studies with Domain Experts",
"doi": null,
"abstractUrl": "/journal/tg/2012/12/ttg2012122869/13rRUxNmPDT",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2017/3163/0/08585484",
"title": "CRICTO: Supporting Sensemaking through Crowdsourced Information Schematization",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2017/08585484/17D45Wc1ILV",
"parentPublication": {
"id": "proceedings/vast/2017/3163/0",
"title": "2017 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09894094",
"title": "Exploring the Evolution of Sensemaking Strategies in Immersive Space to Think",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09894094/1GIqpC6j7na",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2018/6861/0/08802424",
"title": "The Effect of Semantic Interaction on Foraging in Text Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2018/08802424/1cJ6XAJz7gc",
"parentPublication": {
"id": "proceedings/vast/2018/6861/0",
"title": "2018 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/06/08889811",
"title": "Provenance Analysis for Sensemaking",
"doi": null,
"abstractUrl": "/magazine/cg/2019/06/08889811/1eBul1FAEIE",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2021/1838/0/255600a529",
"title": "Sensemaking Strategies with Immersive Space to Think",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2021/255600a529/1tuAMAuN6kU",
"parentPublication": {
"id": "proceedings/vr/2021/1838/0",
"title": "2021 IEEE Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNvlPkDI",
"title": "2018 IEEE Third International Conference on Data Science in Cyberspace (DSC)",
"acronym": "dsc",
"groupId": "1815424",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNviZlCk",
"doi": "10.1109/DSC.2018.00134",
"title": "Automatic Taxonomy Construction for Eye Colors Data without Using Context Information",
"normalizedTitle": "Automatic Taxonomy Construction for Eye Colors Data without Using Context Information",
"abstract": "Taxonomy Learning is one of the challenge subtasks of Ontology Learning. A taxonomy describes hyponymy between concepts, and it plays an important role in information systems and categorization tasks. Works in this field prefer to utilize context of sentences to obtain a precise analysis of the corpus, since context can provide more semantic information for building a precise interpretation of the semantic classes. In this paper, we propose a method, called SenseRefined, for automatic taxonomy construction without using context information. It's a part work of one of our project. The proposed method is specially applied for eye colors data, and all the domain phrases are extracted out before building taxonomy. Word senses are extracted out as a way to provide semantic information, because we find the senses of words are more like the definitions of the concepts, which often contain hypernym concepts in. Experiments were carried out using SenseRefined method and Substring Matching method, where the latter one is baseline. Experimental results show the effectiveness of our approach.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Taxonomy Learning is one of the challenge subtasks of Ontology Learning. A taxonomy describes hyponymy between concepts, and it plays an important role in information systems and categorization tasks. Works in this field prefer to utilize context of sentences to obtain a precise analysis of the corpus, since context can provide more semantic information for building a precise interpretation of the semantic classes. In this paper, we propose a method, called SenseRefined, for automatic taxonomy construction without using context information. It's a part work of one of our project. The proposed method is specially applied for eye colors data, and all the domain phrases are extracted out before building taxonomy. Word senses are extracted out as a way to provide semantic information, because we find the senses of words are more like the definitions of the concepts, which often contain hypernym concepts in. Experiments were carried out using SenseRefined method and Substring Matching method, where the latter one is baseline. Experimental results show the effectiveness of our approach.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Taxonomy Learning is one of the challenge subtasks of Ontology Learning. A taxonomy describes hyponymy between concepts, and it plays an important role in information systems and categorization tasks. Works in this field prefer to utilize context of sentences to obtain a precise analysis of the corpus, since context can provide more semantic information for building a precise interpretation of the semantic classes. In this paper, we propose a method, called SenseRefined, for automatic taxonomy construction without using context information. It's a part work of one of our project. The proposed method is specially applied for eye colors data, and all the domain phrases are extracted out before building taxonomy. Word senses are extracted out as a way to provide semantic information, because we find the senses of words are more like the definitions of the concepts, which often contain hypernym concepts in. Experiments were carried out using SenseRefined method and Substring Matching method, where the latter one is baseline. Experimental results show the effectiveness of our approach.",
"fno": "421001a837",
"keywords": [
"Learning Artificial Intelligence",
"Natural Language Processing",
"Ontologies Artificial Intelligence",
"String Matching",
"Text Analysis",
"Semantic Information",
"Semantic Classes",
"Automatic Taxonomy Construction",
"Hypernym Concepts",
"Sense Refined Method",
"Information Systems",
"Categorization Tasks",
"Ontology Learning",
"Eye Color Data",
"Taxonomy Learning",
"Substring Matching Method",
"Taxonomy",
"Image Color Analysis",
"Data Mining",
"Feature Extraction",
"Semantics",
"Ontologies",
"Web Pages",
"Taxonomy Construction Substring Matching Pattern Based Method Word Senses"
],
"authors": [
{
"affiliation": null,
"fullName": "Jing Qiu",
"givenName": "Jing",
"surname": "Qiu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Yaqi Si",
"givenName": "Yaqi",
"surname": "Si",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Zhihong Tian",
"givenName": "Zhihong",
"surname": "Tian",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "dsc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-06-01T00:00:00",
"pubType": "proceedings",
"pages": "837-841",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-4210-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "421001a829",
"articleId": "12OmNzmclnr",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "421001a842",
"articleId": "12OmNxGAL8z",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/bracis/2013/5092/0/5092a169",
"title": "Terminology Learning through Taxonomy Discovery",
"doi": null,
"abstractUrl": "/proceedings-article/bracis/2013/5092a169/12OmNA1DMkO",
"parentPublication": {
"id": "proceedings/bracis/2013/5092/0",
"title": "2013 Brazilian Conference on Intelligent Systems (BRACIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2015/9504/0/9504a913",
"title": "CrowdTC: Crowdsourced Taxonomy Construction",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2015/9504a913/12OmNALlcl6",
"parentPublication": {
"id": "proceedings/icdm/2015/9504/0",
"title": "2015 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccit/2009/3896/0/3896a204",
"title": "Study on Geographic Information Services Taxonomy",
"doi": null,
"abstractUrl": "/proceedings-article/iccit/2009/3896a204/12OmNAQanws",
"parentPublication": {
"id": "proceedings/iccit/2009/3896/0",
"title": "Convergence Information Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fit/2016/5300/0/5300a348",
"title": "Using Distributional Semantics for Automatic Taxonomy Induction",
"doi": null,
"abstractUrl": "/proceedings-article/fit/2016/5300a348/12OmNBPc8yM",
"parentPublication": {
"id": "proceedings/fit/2016/5300/0",
"title": "2016 International Conference on Frontiers of Information Technology (FIT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wiiatw/2006/2749/0/04053262",
"title": "Ontology Development for Insect Morphology and Taxonomy System",
"doi": null,
"abstractUrl": "/proceedings-article/wiiatw/2006/04053262/12OmNqGA52q",
"parentPublication": {
"id": "proceedings/wiiatw/2006/2749/0",
"title": "2006 IEEE/WIC/ACM International Conference on Web Intelligence International Intelligence Agent Technology Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itcc/2002/1506/0/15060320",
"title": "Taxonomy-based Adaptive Web Search Method",
"doi": null,
"abstractUrl": "/proceedings-article/itcc/2002/15060320/12OmNxXCGM5",
"parentPublication": {
"id": "proceedings/itcc/2002/1506/0",
"title": "Information Technology: Coding and Computing, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pdcat/2016/5081/0/07943390",
"title": "A Domain-Independent Hybrid Approach for Automatic Taxonomy Induction",
"doi": null,
"abstractUrl": "/proceedings-article/pdcat/2016/07943390/12OmNzFv4kn",
"parentPublication": {
"id": "proceedings/pdcat/2016/5081/0",
"title": "2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dexa/2012/2621/0/06327402",
"title": "Semantic Data Integration and Relationship Identification Using the Hierarchical Structure of a Domain-Specific Taxonomy",
"doi": null,
"abstractUrl": "/proceedings-article/dexa/2012/06327402/12OmNzxyiL7",
"parentPublication": {
"id": "proceedings/dexa/2012/2621/0",
"title": "2012 23rd International Workshop on Database and Expert Systems Applications (DEXA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/02/07236916",
"title": "TaxoFinder: A Graph-Based Approach for Taxonomy Learning",
"doi": null,
"abstractUrl": "/journal/tk/2016/02/07236916/13rRUwhpBEs",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigdatasecurity-hpsc-ids/2017/6296/0/07980342",
"title": "A Process Model for XBRL Taxonomy Development",
"doi": null,
"abstractUrl": "/proceedings-article/bigdatasecurity-hpsc-ids/2017/07980342/17D45W9KVIE",
"parentPublication": {
"id": "proceedings/bigdatasecurity-hpsc-ids/2017/6296/0",
"title": "2017 IEEE 3rd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNAsTgXc",
"title": "2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)",
"acronym": "iccvw",
"groupId": "1800041",
"volume": "0",
"displayVolume": "0",
"year": "2011",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyQ7FOF",
"doi": "10.1109/ICCVW.2011.6130335",
"title": "A theory of color barcodes",
"normalizedTitle": "A theory of color barcodes",
"abstract": "There is increased interest in the use of color barcodes to encode more information per area unit than regular, black-and-white barcodes. For example, Microsoft's HCCB technology uses 4 or 8 colors per patch. Unfortunately, the observed color of a surface depends as much on the illuminant spectrum (and other viewing parameters) as on the surface reflectivity, which complicates the task of decoding the content of the barcode. A popular solution is to append to the barcode a “palette” with the reference colors. In this paper, we propose a new approach to color barcode decoding, one that does not require a reference color palette. Our algorithm decodes groups of color bars at once, exploiting the fact that joint color changes can be represented by a low-dimensional space. Decoding a group of bars (a “barcode element”) is thus equivalent to searching for the nearest subspace in a dataset. We also propose algorithms to select subsets of barcode elements that can be decoded with low error probability. Our experimental results show that our barcode decoding algorithm enables substantial information rate increase with respect to system that display a color palette, at a very low decoding error rate.",
"abstracts": [
{
"abstractType": "Regular",
"content": "There is increased interest in the use of color barcodes to encode more information per area unit than regular, black-and-white barcodes. For example, Microsoft's HCCB technology uses 4 or 8 colors per patch. Unfortunately, the observed color of a surface depends as much on the illuminant spectrum (and other viewing parameters) as on the surface reflectivity, which complicates the task of decoding the content of the barcode. A popular solution is to append to the barcode a “palette” with the reference colors. In this paper, we propose a new approach to color barcode decoding, one that does not require a reference color palette. Our algorithm decodes groups of color bars at once, exploiting the fact that joint color changes can be represented by a low-dimensional space. Decoding a group of bars (a “barcode element”) is thus equivalent to searching for the nearest subspace in a dataset. We also propose algorithms to select subsets of barcode elements that can be decoded with low error probability. Our experimental results show that our barcode decoding algorithm enables substantial information rate increase with respect to system that display a color palette, at a very low decoding error rate.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "There is increased interest in the use of color barcodes to encode more information per area unit than regular, black-and-white barcodes. For example, Microsoft's HCCB technology uses 4 or 8 colors per patch. Unfortunately, the observed color of a surface depends as much on the illuminant spectrum (and other viewing parameters) as on the surface reflectivity, which complicates the task of decoding the content of the barcode. A popular solution is to append to the barcode a “palette” with the reference colors. In this paper, we propose a new approach to color barcode decoding, one that does not require a reference color palette. Our algorithm decodes groups of color bars at once, exploiting the fact that joint color changes can be represented by a low-dimensional space. Decoding a group of bars (a “barcode element”) is thus equivalent to searching for the nearest subspace in a dataset. We also propose algorithms to select subsets of barcode elements that can be decoded with low error probability. Our experimental results show that our barcode decoding algorithm enables substantial information rate increase with respect to system that display a color palette, at a very low decoding error rate.",
"fno": "06130335",
"keywords": [
"Bar Codes",
"Image Coding",
"Image Colour Analysis",
"Probability",
"Color Barcode Theory",
"Microsoft HCCB Technology",
"Illuminant Spectrum",
"Barcode Content Decoding",
"Color Barcode Decoding",
"Reference Color Palette",
"Error Probability",
"Decoding Error Rate",
"Color",
"Image Color Analysis",
"Decoding",
"Information Rates",
"Encoding",
"Cameras",
"Bars"
],
"authors": [
{
"affiliation": "Department of Electrical Engineering, University of California, Santa Cruz, USA",
"fullName": "Homayoun Bagherinia",
"givenName": "Homayoun",
"surname": "Bagherinia",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Computer Engineering, University of California, Santa Cruz, USA",
"fullName": "Roberto Manduchi",
"givenName": "Roberto",
"surname": "Manduchi",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccvw",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2011-11-01T00:00:00",
"pubType": "proceedings",
"pages": "806-813",
"year": "2011",
"issn": null,
"isbn": "978-1-4673-0063-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "06130334",
"articleId": "12OmNs4S8L5",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06130336",
"articleId": "12OmNyGtjrx",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icme/2007/1016/0/04285087",
"title": "Extracting Barcodes from a Camera-Shaken Image on Camera Phones",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2007/04285087/12OmNCwUmyw",
"parentPublication": {
"id": "proceedings/icme/2007/1016/0",
"title": "2007 International Conference on Multimedia & Expo",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/percomw/2013/5075/0/06529527",
"title": "Dynamic barcodes for a better ubiquitous understanding",
"doi": null,
"abstractUrl": "/proceedings-article/percomw/2013/06529527/12OmNwtn3wL",
"parentPublication": {
"id": "proceedings/percomw/2013/5075/0",
"title": "2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2013)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/citworkshops/2008/3242/0/3242a539",
"title": "Codec System Design for Continuous Color Barcode Symbols",
"doi": null,
"abstractUrl": "/proceedings-article/citworkshops/2008/3242a539/12OmNxTEiSR",
"parentPublication": {
"id": "proceedings/citworkshops/2008/3242/0",
"title": "Computer and Information Technology, IEEE 8th International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sitis/2015/9721/0/9721a645",
"title": "Development of Color QR Code for Increasing Capacity",
"doi": null,
"abstractUrl": "/proceedings-article/sitis/2015/9721a645/12OmNxdDFDH",
"parentPublication": {
"id": "proceedings/sitis/2015/9721/0",
"title": "2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2008/1913/0/04544033",
"title": "Localization and Segmentation of A 2D High Capacity Color Barcode",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2008/04544033/12OmNy3iFvS",
"parentPublication": {
"id": "proceedings/wacv/2008/1913/0",
"title": "Applications of Computer Vision, IEEE Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdar/2015/1805/0/07333795",
"title": "A fast color barcode detection method through cross identification on mobile platforms",
"doi": null,
"abstractUrl": "/proceedings-article/icdar/2015/07333795/12OmNyKa63z",
"parentPublication": {
"id": "proceedings/icdar/2015/1805/0",
"title": "2015 13th International Conference on Document Analysis and Recognition (ICDAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/crv/2009/3651/0/3651a061",
"title": "A Bayesian Algorithm for Reading 1D Barcodes",
"doi": null,
"abstractUrl": "/proceedings-article/crv/2009/3651a061/12OmNyRPgBc",
"parentPublication": {
"id": "proceedings/crv/2009/3651/0",
"title": "2009 Canadian Conference on Computer and Robot Vision",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2011/348/0/06011862",
"title": "Adaptive use of thresholding and multiple colour space representation to improve classification of MMCC barcode",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2011/06011862/12OmNzX6cjk",
"parentPublication": {
"id": "proceedings/icme/2011/348/0",
"title": "2011 IEEE International Conference on Multimedia and Expo",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdcs/2015/7214/0/7214a537",
"title": "Rain Bar: Robust Application-Driven Visual Communication Using Color Barcodes",
"doi": null,
"abstractUrl": "/proceedings-article/icdcs/2015/7214a537/12OmNzwHvx5",
"parentPublication": {
"id": "proceedings/icdcs/2015/7214/0",
"title": "2015 IEEE 35th International Conference on Distributed Computing Systems (ICDCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2019/9214/0/921400a306",
"title": "Fine Detection and Classification of Multi-class Barcode in Complex Environments",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2019/921400a306/1cJ0BsJa82A",
"parentPublication": {
"id": "proceedings/icmew/2019/9214/0",
"title": "2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1FWmVEMqPw4",
"title": "2022 Nicograph International (NicoInt)",
"acronym": "nicoint",
"groupId": "1814784",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1FWmZYvi4MM",
"doi": "10.1109/NicoInt55861.2022.00011",
"title": "Perceptual Control of Food Taste with Projection Mapping",
"normalizedTitle": "Perceptual Control of Food Taste with Projection Mapping",
"abstract": "Spatial augmented reality techniques using projection mapping have been utilized extensively in our daily lives to augment the real world with virtual content, such as restaurant decorations that are intended to increase appetite. Although previous works have indicated that the projected visual effects on the food might change humans' taste impressions, it is still challenging to provide perceptual control of food taste, which allows apparent taste modifications along with specified projected colors. In this study, we focused on shaved ice for a simplified verification of controlling the food taste through the projection mapping technique. Based on our user study, we verified that the proposed perceptual control is suitable for the taste control of shaved ice with the projected visual effects of different colors.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Spatial augmented reality techniques using projection mapping have been utilized extensively in our daily lives to augment the real world with virtual content, such as restaurant decorations that are intended to increase appetite. Although previous works have indicated that the projected visual effects on the food might change humans' taste impressions, it is still challenging to provide perceptual control of food taste, which allows apparent taste modifications along with specified projected colors. In this study, we focused on shaved ice for a simplified verification of controlling the food taste through the projection mapping technique. Based on our user study, we verified that the proposed perceptual control is suitable for the taste control of shaved ice with the projected visual effects of different colors.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Spatial augmented reality techniques using projection mapping have been utilized extensively in our daily lives to augment the real world with virtual content, such as restaurant decorations that are intended to increase appetite. Although previous works have indicated that the projected visual effects on the food might change humans' taste impressions, it is still challenging to provide perceptual control of food taste, which allows apparent taste modifications along with specified projected colors. In this study, we focused on shaved ice for a simplified verification of controlling the food taste through the projection mapping technique. Based on our user study, we verified that the proposed perceptual control is suitable for the taste control of shaved ice with the projected visual effects of different colors.",
"fno": "690800a021",
"keywords": [
"Augmented Reality",
"Chemioception",
"Data Visualisation",
"Perceptual Control",
"Food Taste",
"Spatial Augmented Reality Techniques",
"Virtual Content",
"Projected Visual Effects",
"Humans",
"Apparent Taste Modifications",
"Specified Projected Colors",
"Shaved Ice",
"Projection Mapping Technique",
"Taste Control",
"Image Color Analysis",
"Shape",
"Spatial Augmented Reality",
"Olfactory",
"Visual Effects",
"Cameras",
"Ice",
"Projection Mapping",
"Food Taste",
"Shaved Ice",
"Interactive Projection"
],
"authors": [
{
"affiliation": "Japan Advanced Institute of Science and Technology,Ishikawa,Japan",
"fullName": "Masanobu Ohyori",
"givenName": "Masanobu",
"surname": "Ohyori",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Japan Advanced Institute of Science and Technology,Ishikawa,Japan",
"fullName": "Kotaro Okino",
"givenName": "Kotaro",
"surname": "Okino",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Japan Advanced Institute of Science and Technology,Ishikawa,Japan",
"fullName": "Ryota Takigami",
"givenName": "Ryota",
"surname": "Takigami",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Japan Advanced Institute of Science and Technology,Ishikawa,Japan",
"fullName": "Shogo Yoshida",
"givenName": "Shogo",
"surname": "Yoshida",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Japan Advanced Institute of Science and Technology,Ishikawa,Japan",
"fullName": "Yichen Peng",
"givenName": "Yichen",
"surname": "Peng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Japan Advanced Institute of Science and Technology,Ishikawa,Japan",
"fullName": "Haoran Xie",
"givenName": "Haoran",
"surname": "Xie",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Japan Advanced Institute of Science and Technology,Ishikawa,Japan",
"fullName": "Toshiki Sato",
"givenName": "Toshiki",
"surname": "Sato",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Japan Advanced Institute of Science and Technology,Ishikawa,Japan",
"fullName": "Kazunori Miyata",
"givenName": "Kazunori",
"surname": "Miyata",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "nicoint",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-06-01T00:00:00",
"pubType": "proceedings",
"pages": "21-24",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-6908-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "690800a017",
"articleId": "1FWmW2lHP8c",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "690800a025",
"articleId": "1FWmYACuPKw",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/svr/2014/4261/0/4261a200",
"title": "Projection Mapping for a Kinect-Projector System",
"doi": null,
"abstractUrl": "/proceedings-article/svr/2014/4261a200/12OmNwe2Izu",
"parentPublication": {
"id": "proceedings/svr/2014/4261/0",
"title": "2014 XVI Symposium on Virtual and Augmented Reality (SVR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/02/ttg2013020236",
"title": "Truthful Color Reproduction in Spatial Augmented Reality Applications",
"doi": null,
"abstractUrl": "/journal/tg/2013/02/ttg2013020236/13rRUxBJhmR",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2022/8402/0/840200a756",
"title": "Robust Tangible Projection Mapping with Multi-View Contour-Based Object Tracking",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2022/840200a756/1CJeF1WYP1m",
"parentPublication": {
"id": "proceedings/vrw/2022/8402/0",
"title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08798347",
"title": "Perceptual Appearance Control by Projection-Induced Illusion",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08798347/1cJ0Lhi0BQk",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08798324",
"title": "Enchanting Your Noodles: A Gustatory Manipulation Interface by Using GAN-based Real-time Food-to-Food Translation",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08798324/1cJ0MuVxzMc",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08797732",
"title": "Food Appearance Optimizer: Automatic Projection Mapping System for Enhancing Perceived Deliciousness Based on Appearance",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08797732/1cJ16MGI7Uk",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08798336",
"title": "Enchanting Your Noodles: GAN-based Real-time Food-to-Food Translation and Its Impact on Vision-induced Gustatory Manipulation",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08798336/1cJ1hcHtnHO",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smartcomp/2020/6997/0/699700a440",
"title": "Internet of Things and Blockchain Technologies for Food Safety Systems",
"doi": null,
"abstractUrl": "/proceedings-article/smartcomp/2020/699700a440/1oxocEsBV6g",
"parentPublication": {
"id": "proceedings/smartcomp/2020/6997/0",
"title": "2020 IEEE International Conference on Smart Computing (SMARTCOMP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2020/8508/0/850800a174",
"title": "Real-Time Adaptive Color Correction in Dynamic Projection Mapping",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2020/850800a174/1pysyl9FDhu",
"parentPublication": {
"id": "proceedings/ismar/2020/8508/0",
"title": "2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/nicoint/2021/3954/0/395400a114",
"title": "Sketch2Bento: Sketch-based Arrangement Guidance for Lunch Boxes",
"doi": null,
"abstractUrl": "/proceedings-article/nicoint/2021/395400a114/1wnPuewqklG",
"parentPublication": {
"id": "proceedings/nicoint/2021/3954/0",
"title": "2021 Nicograph International (NicoInt)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1m3n9N02qgE",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"acronym": "cvpr",
"groupId": "1000147",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1m3oc7dAkbS",
"doi": "10.1109/CVPR42600.2020.00889",
"title": "Harmonizing Transferability and Discriminability for Adapting Object Detectors",
"normalizedTitle": "Harmonizing Transferability and Discriminability for Adapting Object Detectors",
"abstract": "Recent advances in adaptive object detection have achieved compelling results in virtue of adversarial feature adaptation to mitigate the distributional shifts along the detection pipeline. Whilst adversarial adaptation significantly enhances the transferability of feature representations, the feature discriminability of object detectors remains less investigated. Moreover, transferability and discriminability may come at a contradiction in adversarial adaptation given the complex combinations of objects and the differentiated scene layouts between domains. In this paper, we propose a Hierarchical Transferability Calibration Network (HTCN) that hierarchically (local-region/image/instance) calibrates the transferability of feature representations for harmonizing transferability and discriminability. The proposed model consists of three components: (1) Importance Weighted Adversarial Training with input Interpolation (IWAT-I), which strengthens the global discriminability by re-weighting the interpolated image-level features; (2) Context-aware Instance-Level Alignment (CILA) module, which enhances the local discriminability by capturing the underlying complementary effect between the instance-level feature and the global context information for the instance-level feature alignment; (3) local feature masks that calibrate the local transferability to provide semantic guidance for the following discriminative pattern alignment. Experimental results show that HTCN significantly outperforms the state-of-the-art methods on benchmark datasets.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Recent advances in adaptive object detection have achieved compelling results in virtue of adversarial feature adaptation to mitigate the distributional shifts along the detection pipeline. Whilst adversarial adaptation significantly enhances the transferability of feature representations, the feature discriminability of object detectors remains less investigated. Moreover, transferability and discriminability may come at a contradiction in adversarial adaptation given the complex combinations of objects and the differentiated scene layouts between domains. In this paper, we propose a Hierarchical Transferability Calibration Network (HTCN) that hierarchically (local-region/image/instance) calibrates the transferability of feature representations for harmonizing transferability and discriminability. The proposed model consists of three components: (1) Importance Weighted Adversarial Training with input Interpolation (IWAT-I), which strengthens the global discriminability by re-weighting the interpolated image-level features; (2) Context-aware Instance-Level Alignment (CILA) module, which enhances the local discriminability by capturing the underlying complementary effect between the instance-level feature and the global context information for the instance-level feature alignment; (3) local feature masks that calibrate the local transferability to provide semantic guidance for the following discriminative pattern alignment. Experimental results show that HTCN significantly outperforms the state-of-the-art methods on benchmark datasets.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Recent advances in adaptive object detection have achieved compelling results in virtue of adversarial feature adaptation to mitigate the distributional shifts along the detection pipeline. Whilst adversarial adaptation significantly enhances the transferability of feature representations, the feature discriminability of object detectors remains less investigated. Moreover, transferability and discriminability may come at a contradiction in adversarial adaptation given the complex combinations of objects and the differentiated scene layouts between domains. In this paper, we propose a Hierarchical Transferability Calibration Network (HTCN) that hierarchically (local-region/image/instance) calibrates the transferability of feature representations for harmonizing transferability and discriminability. The proposed model consists of three components: (1) Importance Weighted Adversarial Training with input Interpolation (IWAT-I), which strengthens the global discriminability by re-weighting the interpolated image-level features; (2) Context-aware Instance-Level Alignment (CILA) module, which enhances the local discriminability by capturing the underlying complementary effect between the instance-level feature and the global context information for the instance-level feature alignment; (3) local feature masks that calibrate the local transferability to provide semantic guidance for the following discriminative pattern alignment. Experimental results show that HTCN significantly outperforms the state-of-the-art methods on benchmark datasets.",
"fno": "716800i866",
"keywords": [
"Calibration",
"Computer Vision",
"Feature Extraction",
"Image Classification",
"Image Representation",
"Interpolation",
"Learning Artificial Intelligence",
"Object Detection",
"Object Recognition",
"Pattern Classification",
"Adversarial Adaptation",
"Differentiated Scene Layouts",
"Hierarchical Transferability Calibration Network",
"Feature Representations",
"Global Discriminability",
"Interpolated Image Level Features",
"Local Discriminability",
"Instance Level Feature Alignment",
"Local Transferability",
"Discriminative Pattern Alignment",
"Adaptive Object Detection",
"Adversarial Feature Adaptation",
"Distributional Shifts",
"Detection Pipeline",
"Feature Discriminability",
"Feature Extraction",
"Training",
"Object Detection",
"Semantics",
"Interpolation",
"Detectors",
"Task Analysis"
],
"authors": [
{
"affiliation": "Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China",
"fullName": "Chaoqi Chen",
"givenName": "Chaoqi",
"surname": "Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China",
"fullName": "Zebiao Zheng",
"givenName": "Zebiao",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China",
"fullName": "Xinghao Ding",
"givenName": "Xinghao",
"surname": "Ding",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China",
"fullName": "Yue Huang",
"givenName": "Yue",
"surname": "Huang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Computer Science and Engineering, The Chinese University of Hong Kong",
"fullName": "Qi Dou",
"givenName": "Qi",
"surname": "Dou",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-06-01T00:00:00",
"pubType": "proceedings",
"pages": "8866-8875",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-7168-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "716800i856",
"articleId": "1m3nn5KYQmY",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "716800i876",
"articleId": "1m3on0GEISs",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/wacv/2022/0915/0/091500a376",
"title": "To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2022/091500a376/1B13bocYnHq",
"parentPublication": {
"id": "proceedings/wacv/2022/0915/0",
"title": "2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200q6138",
"title": "Admix: Enhancing the Transferability of Adversarial Attacks",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200q6138/1BmIaR3ExvG",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/5555/01/09749837",
"title": "Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors",
"doi": null,
"abstractUrl": "/journal/tp/5555/01/09749837/1CkdRsuJV5K",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600o4973",
"title": "Improving Adversarial Transferability via Neuron Attribution-based Attacks",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600o4973/1H1hUnBlWbC",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2023/9346/0/934600d749",
"title": "Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2023/934600d749/1L8qqH883PW",
"parentPublication": {
"id": "proceedings/wacv/2023/9346/0",
"title": "2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300e732",
"title": "Enhancing Adversarial Example Transferability With an Intermediate Level Attack",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300e732/1hVlCCRAB44",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800a937",
"title": "Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800a937/1m3nzh4rzwI",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2021/3864/0/09428301",
"title": "Transferable Adversarial Examples for Anchor Free Object Detection",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2021/09428301/1uimdA3CF6E",
"parentPublication": {
"id": "proceedings/icme/2021/3864/0",
"title": "2021 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2021/0191/0/019100a132",
"title": "Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2021/019100a132/1yNipgy2T7y",
"parentPublication": {
"id": "proceedings/iccvw/2021/0191/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2021/4509/0/450900m2571",
"title": "I<sup>3</sup>Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2021/450900m2571/1yeMbCIRMd2",
"parentPublication": {
"id": "proceedings/cvpr/2021/4509/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1rSR7vfukX6",
"title": "2020 24th International Conference Information Visualisation (IV)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1rSRc4omAj6",
"doi": "10.1109/IV51561.2020.00063",
"title": "Comparison of four visual analytics techniques for the visualization of adverse drug event rates in clinical trials",
"normalizedTitle": "Comparison of four visual analytics techniques for the visualization of adverse drug event rates in clinical trials",
"abstract": "Drugs are evaluated and compared during clinical trials, and the observed adverse drug events are recorded. Many trial results are available online in trial registries, such as ClinicalTrials.gov. However, this data remains little used currently, due to the volume and the tabular presentation.In this paper, we focus on the visualization of adverse drug event rates, aggregated in 13 anatomical categories and 2 levels of seriousness. We designed four interactive visual analytics: horizontal stacked bar chart with labels, vertical stacked bar chart, area-proportional flower glyphs and star glyphs. We compare the four approaches, analytically and through a preliminary user study aimed at determining the user preferred visual analytics, and we identify their advantages and disadvantages. We conclude that the best options are the horizontal stacked bar chart, which allows labels to help identify the categories of adverse drug events, and the area-proportional flower glyph, which permits a better visualization of small values when very high values are present.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Drugs are evaluated and compared during clinical trials, and the observed adverse drug events are recorded. Many trial results are available online in trial registries, such as ClinicalTrials.gov. However, this data remains little used currently, due to the volume and the tabular presentation.In this paper, we focus on the visualization of adverse drug event rates, aggregated in 13 anatomical categories and 2 levels of seriousness. We designed four interactive visual analytics: horizontal stacked bar chart with labels, vertical stacked bar chart, area-proportional flower glyphs and star glyphs. We compare the four approaches, analytically and through a preliminary user study aimed at determining the user preferred visual analytics, and we identify their advantages and disadvantages. We conclude that the best options are the horizontal stacked bar chart, which allows labels to help identify the categories of adverse drug events, and the area-proportional flower glyph, which permits a better visualization of small values when very high values are present.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Drugs are evaluated and compared during clinical trials, and the observed adverse drug events are recorded. Many trial results are available online in trial registries, such as ClinicalTrials.gov. However, this data remains little used currently, due to the volume and the tabular presentation.In this paper, we focus on the visualization of adverse drug event rates, aggregated in 13 anatomical categories and 2 levels of seriousness. We designed four interactive visual analytics: horizontal stacked bar chart with labels, vertical stacked bar chart, area-proportional flower glyphs and star glyphs. We compare the four approaches, analytically and through a preliminary user study aimed at determining the user preferred visual analytics, and we identify their advantages and disadvantages. We conclude that the best options are the horizontal stacked bar chart, which allows labels to help identify the categories of adverse drug events, and the area-proportional flower glyph, which permits a better visualization of small values when very high values are present.",
"fno": "913400a344",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Demography",
"Drugs",
"Interactive Systems",
"Medical Information Systems",
"Clinical Trials",
"Observed Adverse Drug Events",
"Trial Results",
"Trial Registries",
"Adverse Drug Event Rates",
"Interactive Visual Analytics",
"Horizontal Stacked Bar Chart",
"Area Proportional Flower Glyph",
"Visual Analytics Techniques",
"Drugs",
"Semantic Web",
"Visual Analytics",
"Clinical Trials",
"Safety",
"Labeling",
"Bars",
"Visual Analytics",
"Clinical Trial",
"Drug Adverse Events",
"Flower Glyph",
"Star Glyph"
],
"authors": [
{
"affiliation": "Université Sorbonne Paris Nord,LIMICS, INSERM,Bobigny,France,F-93000",
"fullName": "Jean-Baptiste Lamy",
"givenName": "Jean-Baptiste",
"surname": "Lamy",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-09-01T00:00:00",
"pubType": "proceedings",
"pages": "344-349",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-9134-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "913400a336",
"articleId": "1rSRewueIso",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "913400a350",
"articleId": "1rSReicCeD6",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/big-data/2015/9926/0/07363922",
"title": "Twitter opinion mining for adverse drug reactions",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2015/07363922/12OmNrIrPgY",
"parentPublication": {
"id": "proceedings/big-data/2015/9926/0",
"title": "2015 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2015/9548/0/9548a076",
"title": "A Systematic Prediction of Adverse Drug Reactions Using Pre-clinical Drug Characteristics and Spontaneous Reports",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2015/9548a076/12OmNwBT1rr",
"parentPublication": {
"id": "proceedings/ichi/2015/9548/0",
"title": "2015 International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2000/0484/0/04840109",
"title": "Modeling a Decision Support System to Prevent Adverse Drug Events",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2000/04840109/12OmNxGSm3S",
"parentPublication": {
"id": "proceedings/cbms/2000/0484/0",
"title": "Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2018/5520/0/552000b565",
"title": "MeDIAR: Multi-Drug Adverse Reactions Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2018/552000b565/14Fq0V7LOyF",
"parentPublication": {
"id": "proceedings/icde/2018/5520/0",
"title": "2018 IEEE 34th International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2021/0126/0/09669460",
"title": "Discovering Drug-Drug Associations in the FDA Adverse Event Reporting System Database with Data Mining Approaches",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2021/09669460/1A9WnIIeIrS",
"parentPublication": {
"id": "proceedings/bibm/2021/0126/0",
"title": "2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itme/2021/0679/0/067900a277",
"title": "Drug-Drug Adverse Reactions Prediction Based On Signed Network",
"doi": null,
"abstractUrl": "/proceedings-article/itme/2021/067900a277/1CATBfKQi2s",
"parentPublication": {
"id": "proceedings/itme/2021/0679/0",
"title": "2021 11th International Conference on Information Technology in Medicine and Education (ITME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmbs/2022/6770/0/677000a435",
"title": "Drug repositioning with gender perspective focused on Adverse Drug Reactions",
"doi": null,
"abstractUrl": "/proceedings-article/cmbs/2022/677000a435/1GhVXDoWPFS",
"parentPublication": {
"id": "proceedings/cmbs/2022/6770/0",
"title": "2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2022/9062/0/09956556",
"title": "Predicting Drug-Drug Interactions with Graph Attention Network",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2022/09956556/1IHoB8aVDCo",
"parentPublication": {
"id": "proceedings/icpr/2022/9062/0",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ictai/2022/9744/0/974400b093",
"title": "Drug Side Effects Prediction via Heterogeneous Multi-Relational Graph Convolutional Networks",
"doi": null,
"abstractUrl": "/proceedings-article/ictai/2022/974400b093/1MrFMg4BxVm",
"parentPublication": {
"id": "proceedings/ictai/2022/9744/0",
"title": "2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2020/5382/0/09374395",
"title": "Detecting Potential Adverse Drug Reactions of Preschool ADHD Treatment Using Health Consumer-Generated Content",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2020/09374395/1rUJ0jlaToQ",
"parentPublication": {
"id": "proceedings/ichi/2020/5382/0",
"title": "2020 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqGA5im",
"title": "2014 IEEE Frontiers in Education Conference (FIE)",
"acronym": "fie",
"groupId": "1000297",
"volume": "0",
"displayVolume": "0",
"year": "2014",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNz3bdDC",
"doi": "10.1109/FIE.2014.7043983",
"title": "Your data deserve better than pies and bars: An R graphics workshop for the timid",
"normalizedTitle": "Your data deserve better than pies and bars: An R graphics workshop for the timid",
"abstract": "Conventional data displays such as pie charts, bar charts, and tables are generally ineffective at communicating the logic of an argument. Effective alternatives exist are less well-known. Reasons for the prevalence of pie charts, bar charts, and tables include: they are native to Office software; engineers and engineering educators generally lack training in visual rhetoric; new designs require additional work and technical skill of the author; and audiences resist change. This workshop addresses some of these barriers to change. The superior alternative to pie charts, bar charts, and (some) tables is the dot plot, a display type absent from Office but native to R, an open-source software environment originating in the statistics community. Workshop participants learn why dot plots are effective and how to create them using R. The workshop is designed for R beginners. The agenda includes active learning, demonstration, and discussion. Programming topics are developed using self-paced tutorials. Participants, from any discipline, interested in learning why and how to improve their graphical communication of quantitative data are welcome. Participants should bring wireless-capable laptops. After completing the workshop, participants should be able to describe the limitations of pie charts, bar charts, and tables, cite principles underlying more effective graphs, and use R to create dot plots. By developing participants' technical skills and rhetorical skills in this way, we serve the greater goal of improving their abilities to explore data and communicate findings, helping them use the logic of a display design to better support the logic of their argument.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Conventional data displays such as pie charts, bar charts, and tables are generally ineffective at communicating the logic of an argument. Effective alternatives exist are less well-known. Reasons for the prevalence of pie charts, bar charts, and tables include: they are native to Office software; engineers and engineering educators generally lack training in visual rhetoric; new designs require additional work and technical skill of the author; and audiences resist change. This workshop addresses some of these barriers to change. The superior alternative to pie charts, bar charts, and (some) tables is the dot plot, a display type absent from Office but native to R, an open-source software environment originating in the statistics community. Workshop participants learn why dot plots are effective and how to create them using R. The workshop is designed for R beginners. The agenda includes active learning, demonstration, and discussion. Programming topics are developed using self-paced tutorials. Participants, from any discipline, interested in learning why and how to improve their graphical communication of quantitative data are welcome. Participants should bring wireless-capable laptops. After completing the workshop, participants should be able to describe the limitations of pie charts, bar charts, and tables, cite principles underlying more effective graphs, and use R to create dot plots. By developing participants' technical skills and rhetorical skills in this way, we serve the greater goal of improving their abilities to explore data and communicate findings, helping them use the logic of a display design to better support the logic of their argument.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Conventional data displays such as pie charts, bar charts, and tables are generally ineffective at communicating the logic of an argument. Effective alternatives exist are less well-known. Reasons for the prevalence of pie charts, bar charts, and tables include: they are native to Office software; engineers and engineering educators generally lack training in visual rhetoric; new designs require additional work and technical skill of the author; and audiences resist change. This workshop addresses some of these barriers to change. The superior alternative to pie charts, bar charts, and (some) tables is the dot plot, a display type absent from Office but native to R, an open-source software environment originating in the statistics community. Workshop participants learn why dot plots are effective and how to create them using R. The workshop is designed for R beginners. The agenda includes active learning, demonstration, and discussion. Programming topics are developed using self-paced tutorials. Participants, from any discipline, interested in learning why and how to improve their graphical communication of quantitative data are welcome. Participants should bring wireless-capable laptops. After completing the workshop, participants should be able to describe the limitations of pie charts, bar charts, and tables, cite principles underlying more effective graphs, and use R to create dot plots. By developing participants' technical skills and rhetorical skills in this way, we serve the greater goal of improving their abilities to explore data and communicate findings, helping them use the logic of a display design to better support the logic of their argument.",
"fno": "07043983",
"keywords": [
"Conferences",
"Software",
"Tutorials",
"Visualization",
"Bars",
"Rhetoric"
],
"authors": [
{
"affiliation": "Rose-Hulman Institute of Technology, Terre Haute, Indiana, USA",
"fullName": "Richard Layton",
"givenName": "Richard",
"surname": "Layton",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "fie",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2014-10-01T00:00:00",
"pubType": "proceedings",
"pages": "1-3",
"year": "2014",
"issn": null,
"isbn": "978-1-4799-3922-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07043982",
"articleId": "12OmNx38vVr",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07043984",
"articleId": "12OmNApcujj",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fie/2014/3922/0/07044059",
"title": "Promoting more effective communication of stories in the data",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2014/07044059/12OmNwJPN0r",
"parentPublication": {
"id": "proceedings/fie/2014/3922/0",
"title": "2014 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08443125",
"title": "Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08443125/17D45XDIXRv",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a151",
"title": "The Cost of Pie Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a151/1cMFcqwGM5q",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2019/4941/0/08933547",
"title": "Evidence for Area as the Primary Visual Cue in Pie Charts",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2019/08933547/1fTgFhkepQk",
"parentPublication": {
"id": "proceedings/vis/2019/4941/0",
"title": "2019 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2019/4941/0/08933718",
"title": "Visual Cues in Estimation of Part-To-Whole Comparisons",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2019/08933718/1fTgJRMhWoM",
"parentPublication": {
"id": "proceedings/vis/2019/4941/0",
"title": "2019 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2020/6553/0/09093494",
"title": "Answering Questions about Data Visualizations using Efficient Bimodal Fusion",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2020/09093494/1jPbt5qj7rO",
"parentPublication": {
"id": "proceedings/wacv/2020/6553/0",
"title": "2020 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/12/09465643",
"title": "Designing With Pictographs: Envision Topics Without Sacrificing Understanding",
"doi": null,
"abstractUrl": "/journal/tg/2022/12/09465643/1uIReQZxty8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09548797",
"title": "Effect of uncertainty visualizations on myopic loss aversion and the equity premium puzzle in retirement investment decisions",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09548797/1xeSlZqOf8A",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552227",
"title": "Rotate or Wrap? Interactive Visualisations of Cyclical Data on Cylindrical or Toroidal Topologies",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552227/1xibX4wTR8Q",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552881",
"title": "Modeling Just Noticeable Differences in Charts",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552881/1xibXzMLm9i",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1KaFN97eXLi",
"title": "2022 26th International Conference Information Visualisation (IV)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1KaH61BvDWw",
"doi": "10.1109/IV56949.2022.00020",
"title": "An Overview of the Design and Development for Dynamic and Physical Bar Charts",
"normalizedTitle": "An Overview of the Design and Development for Dynamic and Physical Bar Charts",
"abstract": "This paper aims to present the design process of dynamic data physicalization for bar charts and their variants, simple bars, stacked bars, and clustered bars. The physical artifact has 12 bars that are automatically configured according to the dataset by electromechanical components controlled by an Arduino board. The models of the printed 3D parts, the electromechanical components used and their connection scheme, the design aspects to set up the dynamic physical visualization according to the data, how the users choose the dataset and the kind of physical chart, usage scenarios with different types of charts and physicalization parameters are presented in detail. Finally, some strengths and difficulties in creating dynamic physical visualizations are highlighted and future works are proposed.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper aims to present the design process of dynamic data physicalization for bar charts and their variants, simple bars, stacked bars, and clustered bars. The physical artifact has 12 bars that are automatically configured according to the dataset by electromechanical components controlled by an Arduino board. The models of the printed 3D parts, the electromechanical components used and their connection scheme, the design aspects to set up the dynamic physical visualization according to the data, how the users choose the dataset and the kind of physical chart, usage scenarios with different types of charts and physicalization parameters are presented in detail. Finally, some strengths and difficulties in creating dynamic physical visualizations are highlighted and future works are proposed.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper aims to present the design process of dynamic data physicalization for bar charts and their variants, simple bars, stacked bars, and clustered bars. The physical artifact has 12 bars that are automatically configured according to the dataset by electromechanical components controlled by an Arduino board. The models of the printed 3D parts, the electromechanical components used and their connection scheme, the design aspects to set up the dynamic physical visualization according to the data, how the users choose the dataset and the kind of physical chart, usage scenarios with different types of charts and physicalization parameters are presented in detail. Finally, some strengths and difficulties in creating dynamic physical visualizations are highlighted and future works are proposed.",
"fno": "900700a067",
"keywords": [
"Bar Charts",
"Data Visualisation",
"Solid Modelling",
"Arduino Board",
"Clustered Bars",
"Design Process",
"Dynamic Data Physicalization",
"Dynamic Physical Visualization",
"Electromechanical Components",
"Physical Artifact",
"Physical Bar Charts",
"Physical Chart",
"Physicalization Parameters",
"Printed 3 D Parts",
"Simple Bars",
"Stacked Bars",
"Solid Modeling",
"Three Dimensional Displays",
"Data Visualization",
"Data Models",
"Bars",
"Active Data Physicalization",
"Information Visualization",
"Physicalization Assembly",
"Physical Bar Chart"
],
"authors": [
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Thiago Augusto Soares de Sousa",
"givenName": "Thiago Augusto",
"surname": "Soares de Sousa",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Walbert Cunha Monteiro",
"givenName": "Walbert Cunha",
"surname": "Monteiro",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Tiago Davi Oliveira de Araújo",
"givenName": "Tiago Davi",
"surname": "Oliveira de Araújo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Carlos Gustavo Resque dos Santos",
"givenName": "Carlos Gustavo",
"surname": "Resque dos Santos",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Bianchi Serique Meiguins",
"givenName": "Bianchi Serique",
"surname": "Meiguins",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-07-01T00:00:00",
"pubType": "proceedings",
"pages": "67-72",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-9007-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "900700a061",
"articleId": "1KaH0mB5jwc",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "900700a073",
"articleId": "1KaH4gYfBzG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "trans/tg/2014/12/06876021",
"title": "Four Experiments on the Perception of Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06876021/13rRUNvgz9Q",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2002/03/v0255",
"title": "Hierarchical Pixel Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2002/03/v0255/13rRUyuegh1",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/01/07542185",
"title": "Investigating the Use of a Dynamic Physical Bar Chart for Data Exploration and Presentation",
"doi": null,
"abstractUrl": "/journal/tg/2017/01/07542185/13rRUzpzeB8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2018/7202/0/720200a159",
"title": "Improving Perception Accuracy in Bar Charts with Internal Contrast and Framing Enhancements",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2018/720200a159/17D45WnnFWc",
"parentPublication": {
"id": "proceedings/iv/2018/7202/0",
"title": "2018 22nd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904487",
"title": "Studying Early Decision Making with Progressive Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904487/1H1geE4olvG",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2022/5325/0/532500a054",
"title": "Augmented Scale Models: Presenting Multivariate Data Around Physical Scale Models in Augmented Reality",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2022/532500a054/1JrQV01k1hK",
"parentPublication": {
"id": "proceedings/ismar/2022/5325/0",
"title": "2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2022/9007/0/900700a073",
"title": "A Flexible Pipeline to Create Different Types of Data Physicalizations",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2022/900700a073/1KaH4gYfBzG",
"parentPublication": {
"id": "proceedings/iv/2022/9007/0",
"title": "2022 26th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a163",
"title": "Proposal and Evaluation of Textual Description Templates for Bar Charts Vocalization",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a163/1cMFc4aDtWo",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2019/4941/0/08933547",
"title": "Evidence for Area as the Primary Visual Cue in Pie Charts",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2019/08933547/1fTgFhkepQk",
"parentPublication": {
"id": "proceedings/vis/2019/4941/0",
"title": "2019 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552881",
"title": "Modeling Just Noticeable Differences in Charts",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552881/1xibXzMLm9i",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1fTgF9x78sw",
"title": "2019 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1fTgFhkepQk",
"doi": "10.1109/VISUAL.2019.8933547",
"title": "Evidence for Area as the Primary Visual Cue in Pie Charts",
"normalizedTitle": "Evidence for Area as the Primary Visual Cue in Pie Charts",
"abstract": "The long-standing assumption of angle as the primary visual cue used to read pie charts has recently been called into question. We conducted a controlled, preregistered study using parallel-projected 3D pie charts. Angle, area, and arc length differ dramatically when projected and change over a large range of values. Modeling these changes and comparing them to study participants’ estimates allows us to rank the different visual cues by model fit. Area emerges as the most likely cue used to read pie charts.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The long-standing assumption of angle as the primary visual cue used to read pie charts has recently been called into question. We conducted a controlled, preregistered study using parallel-projected 3D pie charts. Angle, area, and arc length differ dramatically when projected and change over a large range of values. Modeling these changes and comparing them to study participants’ estimates allows us to rank the different visual cues by model fit. Area emerges as the most likely cue used to read pie charts.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The long-standing assumption of angle as the primary visual cue used to read pie charts has recently been called into question. We conducted a controlled, preregistered study using parallel-projected 3D pie charts. Angle, area, and arc length differ dramatically when projected and change over a large range of values. Modeling these changes and comparing them to study participants’ estimates allows us to rank the different visual cues by model fit. Area emerges as the most likely cue used to read pie charts.",
"fno": "08933547",
"keywords": [
"Analytical Models",
"Three Dimensional Displays",
"Two Dimensional Displays",
"Predictive Models",
"Visualization",
"Bars",
"Computational Modeling"
],
"authors": [
{
"affiliation": "Tableau Research",
"fullName": "Robert Kosara",
"givenName": "Robert",
"surname": "Kosara",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-10-01T00:00:00",
"pubType": "proceedings",
"pages": "101-105",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-4941-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08933545",
"articleId": "1fTgJVRcxig",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08933718",
"articleId": "1fTgJRMhWoM",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvpr/2016/8851/0/8851a156",
"title": "Interactive Segmentation on RGBD Images via Cue Selection",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2016/8851a156/12OmNrNh0Jn",
"parentPublication": {
"id": "proceedings/cvpr/2016/8851/0",
"title": "2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2008/3502/0/3502a947",
"title": "Organic Pie Charts",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2008/3502a947/12OmNx5GTXA",
"parentPublication": {
"id": "proceedings/icdm/2008/3502/0",
"title": "2008 Eighth IEEE International Conference on Data Mining",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06876021",
"title": "Four Experiments on the Perception of Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06876021/13rRUNvgz9Q",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06875990",
"title": "Multi-Charts for Comparative 3D Ensemble Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06875990/13rRUxYIMUZ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2018/3788/0/08546094",
"title": "On Mugshot-based Arbitrary View Face Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2018/08546094/17D45WaTkce",
"parentPublication": {
"id": "proceedings/icpr/2018/3788/0",
"title": "2018 24th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2022/8402/0/840200a606",
"title": "3Dify: Extruding Common 2D Charts with Timeseries Data",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2022/840200a606/1CJcH9IsHwk",
"parentPublication": {
"id": "proceedings/vrw/2022/8402/0",
"title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2022/9007/0/900700a067",
"title": "An Overview of the Design and Development for Dynamic and Physical Bar Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2022/900700a067/1KaH61BvDWw",
"parentPublication": {
"id": "proceedings/iv/2022/9007/0",
"title": "2022 26th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a019",
"title": "3D Visualization of Network Including Nodes with Labels",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a019/1cMFcawCItW",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a151",
"title": "The Cost of Pie Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a151/1cMFcqwGM5q",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552881",
"title": "Modeling Just Noticeable Differences in Charts",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552881/1xibXzMLm9i",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1jIxhEnA8IE",
"title": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"acronym": "vrw",
"groupId": "1836626",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1jIxtOsYn16",
"doi": "10.1109/VRW50115.2020.00211",
"title": "A Just Noticeable Difference for Perceiving Virtual Surfaces through Haptic Interaction",
"normalizedTitle": "A Just Noticeable Difference for Perceiving Virtual Surfaces through Haptic Interaction",
"abstract": "Perception of virtual surfaces via force feedback (i.e., haptic interaction through the sense of touch) is a popular topic in a virtual environment (VE). However, few studies reported on a just noticeable difference (JND) of perceiving convex/concave, vertically-placed virtual surfaces under the influence of force directions. We postulated a JND-critical hypothesis that there is a minimum amplitude subtended such surfaces for human perception under force directions. Our empirical results confirmed this hypothesis, suggesting an amplitude range of 1.19– 1.95 mm for distinguishing the virtual surfaces in a VE. This finding would be potential for creating a 3D VE for haptic interaction.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Perception of virtual surfaces via force feedback (i.e., haptic interaction through the sense of touch) is a popular topic in a virtual environment (VE). However, few studies reported on a just noticeable difference (JND) of perceiving convex/concave, vertically-placed virtual surfaces under the influence of force directions. We postulated a JND-critical hypothesis that there is a minimum amplitude subtended such surfaces for human perception under force directions. Our empirical results confirmed this hypothesis, suggesting an amplitude range of 1.19– 1.95 mm for distinguishing the virtual surfaces in a VE. This finding would be potential for creating a 3D VE for haptic interaction.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Perception of virtual surfaces via force feedback (i.e., haptic interaction through the sense of touch) is a popular topic in a virtual environment (VE). However, few studies reported on a just noticeable difference (JND) of perceiving convex/concave, vertically-placed virtual surfaces under the influence of force directions. We postulated a JND-critical hypothesis that there is a minimum amplitude subtended such surfaces for human perception under force directions. Our empirical results confirmed this hypothesis, suggesting an amplitude range of 1.19– 1.95 mm for distinguishing the virtual surfaces in a VE. This finding would be potential for creating a 3D VE for haptic interaction.",
"fno": "09090530",
"keywords": [
"Haptic Interfaces",
"Task Analysis",
"Force",
"Three Dimensional Displays",
"Testing",
"Monitoring",
"Visualization",
"Virtual Reality",
"Haptic Stimuli",
"Force",
"Surface Perception",
"H 1 2 User Machine Systems",
"Human Information Processing",
"H 5 1 Multimedia Information Systems",
"Artificial",
"Augmented",
"And Virtual Realities",
"H 5 2 User Interfaces",
"Haptic I O",
"H 1 2 User Machine Systems",
"Human Information Processing",
"H 5 1 Multimedia Information Systems",
"Artificial Augmented And Virtual Realities",
"H 5 2 User Interfaces",
"Haptic I O"
],
"authors": [
{
"affiliation": "University of Calgary,Dept. of Electrical and Computer Engineering,CANADA",
"fullName": "Jing Huang",
"givenName": "Jing",
"surname": "Huang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Calgary,Dept. of Electrical and Computer Engineering,CANADA",
"fullName": "Deng Wang",
"givenName": "Deng",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Calgary,Dept. of Electrical and Computer Engineering,CANADA",
"fullName": "Yaoping Hu",
"givenName": "Yaoping",
"surname": "Hu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vrw",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-03-01T00:00:00",
"pubType": "proceedings",
"pages": "720-721",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-6532-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09090412",
"articleId": "1jIxkYhRpKg",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09090469",
"articleId": "1jIxyutlklO",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/vr/2017/6647/0/07892274",
"title": "Mechanism of integrating force and vibrotactile cues for 3D user interaction within virtual environments",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2017/07892274/12OmNqH9hid",
"parentPublication": {
"id": "proceedings/vr/2017/6647/0",
"title": "2017 IEEE Virtual Reality (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2015/1727/0/07223322",
"title": "Perceiving mass in mixed reality through pseudo-haptic rendering of Newton's third law",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2015/07223322/12OmNx5Yvk2",
"parentPublication": {
"id": "proceedings/vr/2015/1727/0",
"title": "2015 IEEE Virtual Reality (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/haptics/2008/2005/0/04479908",
"title": "Passive and Active Kinesthetic Perception Just-noticeable-difference for Natural Frequency of Virtual Dynamic Systems",
"doi": null,
"abstractUrl": "/proceedings-article/haptics/2008/04479908/12OmNxA3Z3K",
"parentPublication": {
"id": "proceedings/haptics/2008/2005/0",
"title": "IEEE Haptics Symposium 2008",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/haptics/2002/1489/0/14890299",
"title": "Measuring Just Noticeable Differences for Haptic Force Feedback: Implications for Rehabilitation",
"doi": null,
"abstractUrl": "/proceedings-article/haptics/2002/14890299/12OmNzA6GJk",
"parentPublication": {
"id": "proceedings/haptics/2002/1489/0",
"title": "Haptic Interfaces for Virtual Environment and Teleoperator Systems, International Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2010/7491/0/05583164",
"title": "Combined just noticeable difference model guided image watermarking",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2010/05583164/12OmNzWfp5c",
"parentPublication": {
"id": "proceedings/icme/2010/7491/0",
"title": "2010 IEEE International Conference on Multimedia and Expo",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/th/2012/04/tth2012040323",
"title": "Haptic Edge Sharpness Perception with a Contact Location Display",
"doi": null,
"abstractUrl": "/journal/th/2012/04/tth2012040323/13rRUwjoNxa",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/th/2011/02/tth2011020078",
"title": "A Comparative Study of Haptic Stiffness Identification by Veterinarians and Students",
"doi": null,
"abstractUrl": "/journal/th/2011/02/tth2011020078/13rRUxcbnHp",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08798266",
"title": "Towards EEG-Based Haptic Interaction within Virtual Environments",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08798266/1cJ13SHk4dW",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2020/1485/0/09105999",
"title": "Unsupervised Deep Learning for Just Noticeable Difference Estimation",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2020/09105999/1kwqFoSN4Aw",
"parentPublication": {
"id": "proceedings/icmew/2020/1485/0",
"title": "2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552881",
"title": "Modeling Just Noticeable Differences in Charts",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552881/1xibXzMLm9i",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKirt",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"acronym": "cvpr",
"groupId": "1000147",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45WZZ7EU",
"doi": "10.1109/CVPR.2018.00592",
"title": "DVQA: Understanding Data Visualizations via Question Answering",
"normalizedTitle": "DVQA: Understanding Data Visualizations via Question Answering",
"abstract": "Bar charts are an effective way to convey numeric information, but today's algorithms cannot parse them. Existing methods fail when faced with even minor variations in appearance. Here, we present DVQA, a dataset that tests many aspects of bar chart understanding in a question answering framework. Unlike visual question answering (VQA), DVQA requires processing words and answers that are unique to a particular bar chart. State-of-the-art VQA algorithms perform poorly on DVQA, and we propose two strong baselines that perform considerably better. Our work will enable algorithms to automatically extract numeric and semantic information from vast quantities of bar charts found in scientific publications, Internet articles, business reports, and many other areas.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Bar charts are an effective way to convey numeric information, but today's algorithms cannot parse them. Existing methods fail when faced with even minor variations in appearance. Here, we present DVQA, a dataset that tests many aspects of bar chart understanding in a question answering framework. Unlike visual question answering (VQA), DVQA requires processing words and answers that are unique to a particular bar chart. State-of-the-art VQA algorithms perform poorly on DVQA, and we propose two strong baselines that perform considerably better. Our work will enable algorithms to automatically extract numeric and semantic information from vast quantities of bar charts found in scientific publications, Internet articles, business reports, and many other areas.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Bar charts are an effective way to convey numeric information, but today's algorithms cannot parse them. Existing methods fail when faced with even minor variations in appearance. Here, we present DVQA, a dataset that tests many aspects of bar chart understanding in a question answering framework. Unlike visual question answering (VQA), DVQA requires processing words and answers that are unique to a particular bar chart. State-of-the-art VQA algorithms perform poorly on DVQA, and we propose two strong baselines that perform considerably better. Our work will enable algorithms to automatically extract numeric and semantic information from vast quantities of bar charts found in scientific publications, Internet articles, business reports, and many other areas.",
"fno": "642000f648",
"keywords": [
"Data Visualisation",
"Question Answering Information Retrieval",
"Word Processing",
"DVQA",
"VQA Algorithms",
"Bar Chart Understanding",
"Word Processing",
"Data Visualization Question Answering",
"Bars",
"Cognition",
"Image Color Analysis",
"Visualization",
"Data Visualization",
"Data Mining",
"Knowledge Discovery"
],
"authors": [
{
"affiliation": null,
"fullName": "Kushal Kafle",
"givenName": "Kushal",
"surname": "Kafle",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Brian Price",
"givenName": "Brian",
"surname": "Price",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Scott Cohen",
"givenName": "Scott",
"surname": "Cohen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Christopher Kanan",
"givenName": "Christopher",
"surname": "Kanan",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-06-01T00:00:00",
"pubType": "proceedings",
"pages": "5648-5656",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-6420-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "642000f639",
"articleId": "17D45WWzW7c",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "642000f657",
"articleId": "17D45VObpNB",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvpr/2017/0457/0/0457b359",
"title": "TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2017/0457b359/12OmNBV9Ifr",
"parentPublication": {
"id": "proceedings/cvpr/2017/0457/0",
"title": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2015/8391/0/8391c425",
"title": "VQA: Visual Question Answering",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2015/8391c425/12OmNrYlmBL",
"parentPublication": {
"id": "proceedings/iccv/2015/8391/0",
"title": "2015 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08443125",
"title": "Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08443125/17D45XDIXRv",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904487",
"title": "Studying Early Decision Making with Progressive Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904487/1H1geE4olvG",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a163",
"title": "Proposal and Evaluation of Textual Description Templates for Bar Charts Vocalization",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a163/1cMFc4aDtWo",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a151",
"title": "The Cost of Pie Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a151/1cMFcqwGM5q",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2020/6553/0/09093269",
"title": "LEAF-QA: Locate, Encode & Attend for Figure Question Answering",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2020/09093269/1jPbCCFUgrC",
"parentPublication": {
"id": "proceedings/wacv/2020/6553/0",
"title": "2020 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2020/6553/0/09093494",
"title": "Answering Questions about Data Visualizations using Efficient Bimodal Fusion",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2020/09093494/1jPbt5qj7rO",
"parentPublication": {
"id": "proceedings/wacv/2020/6553/0",
"title": "2020 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412144",
"title": "Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412144/1tmhwCCzbUY",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552227",
"title": "Rotate or Wrap? Interactive Visualisations of Cyclical Data on Cylindrical or Toroidal Topologies",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552227/1xibX4wTR8Q",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1KaFN97eXLi",
"title": "2022 26th International Conference Information Visualisation (IV)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1KaH4gYfBzG",
"doi": "10.1109/IV56949.2022.00021",
"title": "A Flexible Pipeline to Create Different Types of Data Physicalizations",
"normalizedTitle": "A Flexible Pipeline to Create Different Types of Data Physicalizations",
"abstract": "The process of creating physical data visualizations is not a trivial task. In general, it may require skills from the user in information visualization, tangible interaction, 3D modeling, fabrication of physical objects, etc. In addition, few works have presented computational support to the entire digital and physical rendering pipeline of data visualization, characterizing many steps of this process as manual. From this context, this work presents a process that facilitates the generation of physical data visualization. Besides that, It allows one to define which type of physical visualization to create, among passive, rearrangeable, and dynamic physicalization types. Finally, the pipelines for each physicalization type are presented, with scenarios including physical bar charts, stacked bar charts, and grouped bar charts.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The process of creating physical data visualizations is not a trivial task. In general, it may require skills from the user in information visualization, tangible interaction, 3D modeling, fabrication of physical objects, etc. In addition, few works have presented computational support to the entire digital and physical rendering pipeline of data visualization, characterizing many steps of this process as manual. From this context, this work presents a process that facilitates the generation of physical data visualization. Besides that, It allows one to define which type of physical visualization to create, among passive, rearrangeable, and dynamic physicalization types. Finally, the pipelines for each physicalization type are presented, with scenarios including physical bar charts, stacked bar charts, and grouped bar charts.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The process of creating physical data visualizations is not a trivial task. In general, it may require skills from the user in information visualization, tangible interaction, 3D modeling, fabrication of physical objects, etc. In addition, few works have presented computational support to the entire digital and physical rendering pipeline of data visualization, characterizing many steps of this process as manual. From this context, this work presents a process that facilitates the generation of physical data visualization. Besides that, It allows one to define which type of physical visualization to create, among passive, rearrangeable, and dynamic physicalization types. Finally, the pipelines for each physicalization type are presented, with scenarios including physical bar charts, stacked bar charts, and grouped bar charts.",
"fno": "900700a073",
"keywords": [
"Data Visualisation",
"Rendering Computer Graphics",
"Data Physicalizations",
"Digital Rendering Pipeline",
"Dynamic Physicalization Types",
"Flexible Pipeline",
"Information Visualization",
"Passive Physicalization Types",
"Physical Bar Charts",
"Physical Data Visualization",
"Physical Objects",
"Physical Rendering Pipeline",
"Rearrangeable Physicalization Types",
"Fabrication",
"Three Dimensional Displays",
"Pipelines",
"Data Visualization",
"Rendering Computer Graphics",
"Task Analysis",
"Bars",
"Data Physicalization",
"Flexible Pipeline",
"Digital Fabrication"
],
"authors": [
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Alexandre Abreu de Freitas",
"givenName": "Alexandre Abreu",
"surname": "de Freitas",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Walbert Cunha Monteiro",
"givenName": "Walbert Cunha",
"surname": "Monteiro",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Thiago Augusto Soares de Sousa",
"givenName": "Thiago Augusto",
"surname": "Soares de Sousa",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Vinicius Favacho Queiroz",
"givenName": "Vinicius Favacho",
"surname": "Queiroz",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Tiago Davi Oliveira de Araújo",
"givenName": "Tiago Davi",
"surname": "Oliveira de Araújo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Computer Science Graduate Program Federal University of Pará,Belém,Brazil",
"fullName": "Bianchi Serique Meiguins",
"givenName": "Bianchi Serique",
"surname": "Meiguins",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-07-01T00:00:00",
"pubType": "proceedings",
"pages": "73-78",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-9007-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "900700a067",
"articleId": "1KaH61BvDWw",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "900700a079",
"articleId": "1KaH7NIJIsg",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/mcsi/2016/0973/0/0973a203",
"title": "Graphics Visualization of Specific Dashboards in Transport Technologies",
"doi": null,
"abstractUrl": "/proceedings-article/mcsi/2016/0973a203/12OmNAFnCx6",
"parentPublication": {
"id": "proceedings/mcsi/2016/0973/0",
"title": "2016 Third International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2017/2089/0/2089a142",
"title": "Building Immersive Data Visualizations for the Web",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2017/2089a142/12OmNx6PiB6",
"parentPublication": {
"id": "proceedings/cw/2017/2089/0",
"title": "2017 International Conference on Cyberworlds (CW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2018/7202/0/720200a159",
"title": "Improving Perception Accuracy in Bar Charts with Internal Contrast and Framing Enhancements",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2018/720200a159/17D45WnnFWc",
"parentPublication": {
"id": "proceedings/iv/2018/7202/0",
"title": "2018 22nd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904487",
"title": "Studying Early Decision Making with Progressive Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904487/1H1geE4olvG",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2022/9007/0/900700a067",
"title": "An Overview of the Design and Development for Dynamic and Physical Bar Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2022/900700a067/1KaH61BvDWw",
"parentPublication": {
"id": "proceedings/iv/2022/9007/0",
"title": "2022 26th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a151",
"title": "The Cost of Pie Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a151/1cMFcqwGM5q",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2019/4941/0/08933718",
"title": "Visual Cues in Estimation of Part-To-Whole Comparisons",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2019/08933718/1fTgJRMhWoM",
"parentPublication": {
"id": "proceedings/vis/2019/4941/0",
"title": "2019 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222047",
"title": "Truth or Square: Aspect Ratio Biases Recall of Position Encodings",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222047/1nTqj3fbFXq",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412144",
"title": "Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412144/1tmhwCCzbUY",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552881",
"title": "Modeling Just Noticeable Differences in Charts",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552881/1xibXzMLm9i",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1cMF8oE0kI8",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1cMFc4aDtWo",
"doi": "10.1109/IV.2019.00036",
"title": "Proposal and Evaluation of Textual Description Templates for Bar Charts Vocalization",
"normalizedTitle": "Proposal and Evaluation of Textual Description Templates for Bar Charts Vocalization",
"abstract": "The textual description of data charts is a complex task. A chart presents different visual characteristics for the information represented, which can be influenced by the technique selected and the combination of visual elements. There are crowdsourcing initiatives to create descriptions for charts available on the Web, but the descriptions can have failures, considering that they arise from the understanding of the person. In this context, methods to automatically extract data from chart images allow producing descriptions for use in these scenarios. However, there is no standard way of vocalizing the chart content. For this, the textual description must be based on a template, so that the chart can be completely understood. Thus, this paper presents templates that allow verbalizing the data extracted from vertical and grouped bar charts in an intelligible way. Evaluations were performed with users to verify the ease of understanding textual descriptions. The results showed that the proposed templates were suitable for vocalization the contents of bar charts.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The textual description of data charts is a complex task. A chart presents different visual characteristics for the information represented, which can be influenced by the technique selected and the combination of visual elements. There are crowdsourcing initiatives to create descriptions for charts available on the Web, but the descriptions can have failures, considering that they arise from the understanding of the person. In this context, methods to automatically extract data from chart images allow producing descriptions for use in these scenarios. However, there is no standard way of vocalizing the chart content. For this, the textual description must be based on a template, so that the chart can be completely understood. Thus, this paper presents templates that allow verbalizing the data extracted from vertical and grouped bar charts in an intelligible way. Evaluations were performed with users to verify the ease of understanding textual descriptions. The results showed that the proposed templates were suitable for vocalization the contents of bar charts.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The textual description of data charts is a complex task. A chart presents different visual characteristics for the information represented, which can be influenced by the technique selected and the combination of visual elements. There are crowdsourcing initiatives to create descriptions for charts available on the Web, but the descriptions can have failures, considering that they arise from the understanding of the person. In this context, methods to automatically extract data from chart images allow producing descriptions for use in these scenarios. However, there is no standard way of vocalizing the chart content. For this, the textual description must be based on a template, so that the chart can be completely understood. Thus, this paper presents templates that allow verbalizing the data extracted from vertical and grouped bar charts in an intelligible way. Evaluations were performed with users to verify the ease of understanding textual descriptions. The results showed that the proposed templates were suitable for vocalization the contents of bar charts.",
"fno": "283800a163",
"keywords": [
"Bar Charts",
"Crowdsourcing",
"Data Visualisation",
"Internet",
"Text Analysis",
"Bar Charts Vocalization",
"Data Charts",
"Complex Task",
"Visual Elements",
"Chart Images",
"Chart Content",
"Vertical Bar Charts",
"Grouped Bar Charts",
"Textual Description Templates",
"Visual Characteristics",
"Textual Descriptions",
"Crowdsourcing Initiatives",
"Bars",
"Data Visualization",
"Task Analysis",
"Data Mining",
"Visualization",
"Crowdsourcing",
"Standards",
"Templates",
"Bar Charts",
"Textual Description",
"Vocalization"
],
"authors": [
{
"affiliation": "Federal University of Pará, Brazil",
"fullName": "Cynthya Letícia Teles De Oliveira",
"givenName": "Cynthya Letícia",
"surname": "Teles De Oliveira",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Federal University of Pará, Brazil",
"fullName": "Alan Trindade De Almeida Silva",
"givenName": "Alan Trindade De Almeida",
"surname": "Silva",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Federal University of Pará, Brazil",
"fullName": "Erick Modesto Campos",
"givenName": "Erick Modesto",
"surname": "Campos",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Federal University of Pará, Brazil",
"fullName": "Tiago Davi Oliveira Araújo",
"givenName": "Tiago Davi Oliveira",
"surname": "Araújo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Federal University of Pará, Brazil",
"fullName": "Marcelle Pereira Mota",
"givenName": "Marcelle Pereira",
"surname": "Mota",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Federal University of Pará, Brazil",
"fullName": "Bianchi Serique Meiguins",
"givenName": "Bianchi Serique",
"surname": "Meiguins",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Federal University of Pará, Brazil",
"fullName": "Jefferson Magalhães De Morais",
"givenName": "Jefferson Magalhães De",
"surname": "Morais",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-07-01T00:00:00",
"pubType": "proceedings",
"pages": "163-169",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-2838-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "283800a157",
"articleId": "1cMF9mvWMFO",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "283800a170",
"articleId": "1cMFbe8mHx6",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "trans/tg/2014/12/06876021",
"title": "Four Experiments on the Perception of Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06876021/13rRUNvgz9Q",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/03/07845717",
"title": "Converting Basic D3 Charts into Reusable Style Templates",
"doi": null,
"abstractUrl": "/journal/tg/2018/03/07845717/13rRUxYINfm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2002/03/v0255",
"title": "Hierarchical Pixel Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2002/03/v0255/13rRUyuegh1",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2018/7202/0/720200a159",
"title": "Improving Perception Accuracy in Bar Charts with Internal Contrast and Framing Enhancements",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2018/720200a159/17D45WnnFWc",
"parentPublication": {
"id": "proceedings/iv/2018/7202/0",
"title": "2018 22nd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904487",
"title": "Studying Early Decision Making with Progressive Bar Charts",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904487/1H1geE4olvG",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2022/9007/0/900700a067",
"title": "An Overview of the Design and Development for Dynamic and Physical Bar Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2022/900700a067/1KaH61BvDWw",
"parentPublication": {
"id": "proceedings/iv/2022/9007/0",
"title": "2022 26th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2019/2838/0/283800a151",
"title": "The Cost of Pie Charts",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2019/283800a151/1cMFcqwGM5q",
"parentPublication": {
"id": "proceedings/iv/2019/2838/0",
"title": "2019 23rd International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412144",
"title": "Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412144/1tmhwCCzbUY",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552208",
"title": "Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552208/1xibWU97C8w",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552881",
"title": "Modeling Just Noticeable Differences in Charts",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552881/1xibXzMLm9i",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqEjhZ9",
"title": "IEEE Pacific Visualization Symposium 2008",
"acronym": "pacificvis",
"groupId": "1001657",
"volume": "0",
"displayVolume": "0",
"year": "2008",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNBpVQ3r",
"doi": "10.1109/PACIFICVIS.2008.4475450",
"title": "Interactive Visualization - Beyond Standard Techniques for Irrelevant Datasets",
"normalizedTitle": "Interactive Visualization - Beyond Standard Techniques for Irrelevant Datasets",
"abstract": "During the last 20 years visualization has developed into a scientific discipline of its own right at the crossroads of computer graphics, human-computer interaction, and data analysis. Today, interactive visualization techniques play a crucial role in the process of understanding the huge datasets resulting from simulations, sensor measurements, and information systems. The talk will look at the current state of the field which is characterized by the fact that by now elaborate algorithms and efficient GPU implementations exist for many classical visualization problems dealing with 3D scalar and vector data sets. Therefore, it has become obvious that future visualization research cannot only concentrate on optimizing standard techniques for well-known benchmark data sets. A closer cooperation with application domains very often leads to real-life problems whose size and dimension require new approaches often combining known techniques into innovative tools. In this context the talk will present some of the current research results of the visualization group at the University of Stuttgart in the areas of visualization of video streams, molecular dynamics simulations, and patent databases.",
"abstracts": [
{
"abstractType": "Regular",
"content": "During the last 20 years visualization has developed into a scientific discipline of its own right at the crossroads of computer graphics, human-computer interaction, and data analysis. Today, interactive visualization techniques play a crucial role in the process of understanding the huge datasets resulting from simulations, sensor measurements, and information systems. The talk will look at the current state of the field which is characterized by the fact that by now elaborate algorithms and efficient GPU implementations exist for many classical visualization problems dealing with 3D scalar and vector data sets. Therefore, it has become obvious that future visualization research cannot only concentrate on optimizing standard techniques for well-known benchmark data sets. A closer cooperation with application domains very often leads to real-life problems whose size and dimension require new approaches often combining known techniques into innovative tools. In this context the talk will present some of the current research results of the visualization group at the University of Stuttgart in the areas of visualization of video streams, molecular dynamics simulations, and patent databases.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "During the last 20 years visualization has developed into a scientific discipline of its own right at the crossroads of computer graphics, human-computer interaction, and data analysis. Today, interactive visualization techniques play a crucial role in the process of understanding the huge datasets resulting from simulations, sensor measurements, and information systems. The talk will look at the current state of the field which is characterized by the fact that by now elaborate algorithms and efficient GPU implementations exist for many classical visualization problems dealing with 3D scalar and vector data sets. Therefore, it has become obvious that future visualization research cannot only concentrate on optimizing standard techniques for well-known benchmark data sets. A closer cooperation with application domains very often leads to real-life problems whose size and dimension require new approaches often combining known techniques into innovative tools. In this context the talk will present some of the current research results of the visualization group at the University of Stuttgart in the areas of visualization of video streams, molecular dynamics simulations, and patent databases.",
"fno": "04475450",
"keywords": [
"Data Visualization",
"Computer Graphics",
"Data Analysis",
"Computational Modeling",
"Sensor Phenomena And Characterization",
"Sensor Systems",
"Information Systems",
"Streaming Media",
"Context Modeling",
"Visual Databases"
],
"authors": [
{
"affiliation": "Institut für Visualisierung und Interaktive Systeme und Visualisierungsinstitut der Universität Stuttgart",
"fullName": "Thomas Ertl",
"givenName": "Thomas",
"surname": "Ertl",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "pacificvis",
"isOpenAccess": true,
"showRecommendedArticles": true,
"showBuyMe": false,
"hasPdf": true,
"pubDate": "2008-03-01T00:00:00",
"pubType": "proceedings",
"pages": "",
"year": "2008",
"issn": "2165-8765",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "04475445",
"articleId": "12OmNxTEiTV",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04475451",
"articleId": "12OmNAolGQi",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/igcc/2014/6177/0/07039180",
"title": "InfiniTime: A multi-sensor energy neutral wearable bracelet",
"doi": null,
"abstractUrl": "/proceedings-article/igcc/2014/07039180/12OmNAq3hPU",
"parentPublication": {
"id": "proceedings/igcc/2014/6177/0",
"title": "2014 International Green Computing Conference (IGCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iciss/1996/3639/0/00552414",
"title": "Toward the development of a non-invasive pressure-flow sensor system for the detection of prostate cancer in men",
"doi": null,
"abstractUrl": "/proceedings-article/iciss/1996/00552414/12OmNBA9oA1",
"parentPublication": {
"id": "proceedings/iciss/1996/3639/0",
"title": "1996 Proceedings. Eighth Annual IEEE International Conference on Innovative Systems in Silicon",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/percom/2007/2787/0/04144767",
"title": "Structural Learning of Activities from Sparse Datasets",
"doi": null,
"abstractUrl": "/proceedings-article/percom/2007/04144767/12OmNBt3qjL",
"parentPublication": {
"id": "proceedings/percom/2007/2787/0",
"title": "Fifth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom'07)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2007/0802/0/04221846",
"title": "FireStream: Sensor Stream Processing for Monitoring Fire Spread",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2007/04221846/12OmNCd2rC0",
"parentPublication": {
"id": "proceedings/icde/2007/0802/0",
"title": "2007 IEEE 23rd International Conference on Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/rtcdc/2005/257/0/01570879",
"title": "Knowledge base design for environmental research",
"doi": null,
"abstractUrl": "/proceedings-article/rtcdc/2005/01570879/12OmNwtWfFd",
"parentPublication": {
"id": "proceedings/rtcdc/2005/257/0",
"title": "Tapia '05. 2005 Richard Tapia Celebration of Diversity in Computing Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pdp/2017/6058/0/07912644",
"title": "Flexible Representation of IoT Sensors for Cloud Simulators",
"doi": null,
"abstractUrl": "/proceedings-article/pdp/2017/07912644/12OmNyUnEFa",
"parentPublication": {
"id": "proceedings/pdp/2017/6058/0",
"title": "2017 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/percom/2015/8033/0/07146518",
"title": "Beyond location check-ins: Exploring physical and soft sensing to augment social check-in apps",
"doi": null,
"abstractUrl": "/proceedings-article/percom/2015/07146518/12OmNzcxYUr",
"parentPublication": {
"id": "proceedings/percom/2015/8033/0",
"title": "2015 IEEE International Conference on Pervasive Computing and Communications (PerCom)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/mu/2018/01/mmu2018010039",
"title": "Generalized Multi-Instance Control Mapping for Interactive Media Systems",
"doi": null,
"abstractUrl": "/magazine/mu/2018/01/mmu2018010039/13rRUx0xPsg",
"parentPublication": {
"id": "mags/mu",
"title": "IEEE MultiMedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2014/09/06529086",
"title": "Lagrangian Approaches to Storage of Spatio-Temporal Network Datasets",
"doi": null,
"abstractUrl": "/journal/tk/2014/09/06529086/13rRUynHujv",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/bd/5555/01/09924555",
"title": "A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets",
"doi": null,
"abstractUrl": "/journal/bd/5555/01/09924555/1HBHSSrDVXq",
"parentPublication": {
"id": "trans/bd",
"title": "IEEE Transactions on Big Data",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzsrwbq",
"title": "Proceedings of 12th IEEE Symposium on Mass Storage Systems",
"acronym": "mass",
"groupId": "1000429",
"volume": "0",
"displayVolume": "0",
"year": "1993",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNwdtwkl",
"doi": "10.1109/MASS.1993.289779",
"title": "Now that the storage train's here, can we get everybody on board?",
"normalizedTitle": "Now that the storage train's here, can we get everybody on board?",
"abstract": "The author presents some suggestions which would make the IEEE Mass Storage System Reference Model more responsive to large sites and enable mass storage services to be provided by a network of mass storage system (MSS) servers. Approaches that would simplify maintenance and growth are proposed with the understanding that an MSS entails more qualities than just 'big'. The Model's design should encourage the development of MSSs which permit sites to manage this data resource intelligently and continuously into the future. With this goal in mind, an MSS programmable interface is proposed, and attention is given to how sites could use it to add their own control and adjust to standards that change in ways that may not suit their environment. Plans to unite central and distributed servers, with the Model-based MSS Server as the focus of the complex, are also described. Many of these ideas are based on the observations of the author's own Central File Archival and Migration Service (CFAM), which has served Cray users since January 1989 and workstations since June 1991.<>",
"abstracts": [
{
"abstractType": "Regular",
"content": "The author presents some suggestions which would make the IEEE Mass Storage System Reference Model more responsive to large sites and enable mass storage services to be provided by a network of mass storage system (MSS) servers. Approaches that would simplify maintenance and growth are proposed with the understanding that an MSS entails more qualities than just 'big'. The Model's design should encourage the development of MSSs which permit sites to manage this data resource intelligently and continuously into the future. With this goal in mind, an MSS programmable interface is proposed, and attention is given to how sites could use it to add their own control and adjust to standards that change in ways that may not suit their environment. Plans to unite central and distributed servers, with the Model-based MSS Server as the focus of the complex, are also described. Many of these ideas are based on the observations of the author's own Central File Archival and Migration Service (CFAM), which has served Cray users since January 1989 and workstations since June 1991.<>",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The author presents some suggestions which would make the IEEE Mass Storage System Reference Model more responsive to large sites and enable mass storage services to be provided by a network of mass storage system (MSS) servers. Approaches that would simplify maintenance and growth are proposed with the understanding that an MSS entails more qualities than just 'big'. The Model's design should encourage the development of MSSs which permit sites to manage this data resource intelligently and continuously into the future. With this goal in mind, an MSS programmable interface is proposed, and attention is given to how sites could use it to add their own control and adjust to standards that change in ways that may not suit their environment. Plans to unite central and distributed servers, with the Model-based MSS Server as the focus of the complex, are also described. Many of these ideas are based on the observations of the author's own Central File Archival and Migration Service (CFAM), which has served Cray users since January 1989 and workstations since June 1991.",
"fno": "00289779",
"keywords": [
"Network Servers",
"Standards",
"Storage Management",
"IEEE Mass Storage System Reference Model",
"Data Resource",
"Programmable Interface",
"Servers",
"Cray Users",
"Databases",
"File Servers",
"Network Servers",
"Workstations",
"User Interfaces",
"Resource Management",
"Maintenance",
"Libraries",
"File Systems",
"Data Security"
],
"authors": [
{
"affiliation": "Sverdrup Technol. Inc., Cleveland, OH, USA",
"fullName": "B. Perry",
"givenName": "B.",
"surname": "Perry",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "mass",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "1993-01-01T00:00:00",
"pubType": "proceedings",
"pages": "37,38,39,40,41,42,43,44",
"year": "1993",
"issn": null,
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "00289778",
"articleId": "12OmNApcu6L",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "00289780",
"articleId": "12OmNzlD9ry",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/mass/1993/3460/0/00289768",
"title": "Integrating mass storage and file systems",
"doi": null,
"abstractUrl": "/proceedings-article/mass/1993/00289768/12OmNA1DMjP",
"parentPublication": {
"id": "proceedings/mass/1993/3460/0",
"title": "Proceedings of 12th IEEE Symposium on Mass Storage Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/1990/2034/0/00113583",
"title": "Searching for a Unix mass storage system for a supercomputer environment",
"doi": null,
"abstractUrl": "/proceedings-article/mass/1990/00113583/12OmNBC8Atv",
"parentPublication": {
"id": "proceedings/mass/1990/2034/0",
"title": "[1990] Digest of papers. Tenth IEEE Symposium on Mass Storage Systems@m_Crisis in Mass Storage",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/1988/0882/0/00044657",
"title": "Profiles in mass storage: a tale of two systems",
"doi": null,
"abstractUrl": "/proceedings-article/sc/1988/00044657/12OmNBJNKZ8",
"parentPublication": {
"id": "proceedings/sc/1988/0882/0",
"title": "SC Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/1988/8880/0/00072789",
"title": "IMPORT and EXPORT of data on the NCAR mass storage system",
"doi": null,
"abstractUrl": "/proceedings-article/mass/1988/00072789/12OmNBRKwBr",
"parentPublication": {
"id": "proceedings/mass/1988/8880/0",
"title": "Digest of Papers Ninth IEEE Symposium on Mass Storage Systems, 1988. 'Storage Systems: Perspectives'",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/1988/8880/0/00072786",
"title": "Profiles in mass storage: a tale of two systems",
"doi": null,
"abstractUrl": "/proceedings-article/mass/1988/00072786/12OmNqN6R6e",
"parentPublication": {
"id": "proceedings/mass/1988/8880/0",
"title": "Digest of Papers Ninth IEEE Symposium on Mass Storage Systems, 1988. 'Storage Systems: Perspectives'",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/1990/2034/0/00113585",
"title": "Hiding mass storage under Unix: NASA's MSS-II architecture",
"doi": null,
"abstractUrl": "/proceedings-article/mass/1990/00113585/12OmNsbY6Tn",
"parentPublication": {
"id": "proceedings/mass/1990/2034/0",
"title": "[1990] Digest of papers. Tenth IEEE Symposium on Mass Storage Systems@m_Crisis in Mass Storage",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/1988/8880/0/00072779",
"title": "Mass storage systems reference model system management",
"doi": null,
"abstractUrl": "/proceedings-article/mass/1988/00072779/12OmNwErpNg",
"parentPublication": {
"id": "proceedings/mass/1988/8880/0",
"title": "Digest of Papers Ninth IEEE Symposium on Mass Storage Systems, 1988. 'Storage Systems: Perspectives'",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/1988/8880/0/00072795",
"title": "A Unix-MVS based mass storage system for supercomputers",
"doi": null,
"abstractUrl": "/proceedings-article/mass/1988/00072795/12OmNxGja0q",
"parentPublication": {
"id": "proceedings/mass/1988/8880/0",
"title": "Digest of Papers Ninth IEEE Symposium on Mass Storage Systems, 1988. 'Storage Systems: Perspectives'",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/1990/2034/0/00113561",
"title": "Review of IEEE-CS MSS reference model",
"doi": null,
"abstractUrl": "/proceedings-article/mass/1990/00113561/12OmNy6HQOH",
"parentPublication": {
"id": "proceedings/mass/1990/2034/0",
"title": "[1990] Digest of papers. Tenth IEEE Symposium on Mass Storage Systems@m_Crisis in Mass Storage",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/1990/2034/0/00113580",
"title": "Early experience with mass storage on a Unix-based supercomputer",
"doi": null,
"abstractUrl": "/proceedings-article/mass/1990/00113580/12OmNzhELkM",
"parentPublication": {
"id": "proceedings/mass/1990/2034/0",
"title": "[1990] Digest of papers. Tenth IEEE Symposium on Mass Storage Systems@m_Crisis in Mass Storage",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNxWcHe4",
"title": "2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications",
"acronym": "seaa",
"groupId": "1002914",
"volume": "0",
"displayVolume": "0",
"year": "2010",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzcPA2B",
"doi": "10.1109/SEAA.2010.10",
"title": "Automated Deployment of a Heterogeneous Service-Oriented System",
"normalizedTitle": "Automated Deployment of a Heterogeneous Service-Oriented System",
"abstract": "Deployment of a service-oriented system in a network of machines is often complex and labourious. In many cases components implementing a service have to be built from source code for the right target platform, transferred to the right machines with the right capabilities and activated in the right order. Upgrading a running system is even more difficult as this may break the running system and cannot be performed atomically. Many approaches that deal with the complexity of a distributed deployment process only support certain types of components or specific environments, while general solutions lack certain desirable non-functional properties, such as atomic upgrading. This paper shows Disnix, a deployment tool which allows developers and administrators to reliably deploy, upgrade and roll back a service-oriented system consisting of various types of components in a heterogeneous environment from declarative specifications.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Deployment of a service-oriented system in a network of machines is often complex and labourious. In many cases components implementing a service have to be built from source code for the right target platform, transferred to the right machines with the right capabilities and activated in the right order. Upgrading a running system is even more difficult as this may break the running system and cannot be performed atomically. Many approaches that deal with the complexity of a distributed deployment process only support certain types of components or specific environments, while general solutions lack certain desirable non-functional properties, such as atomic upgrading. This paper shows Disnix, a deployment tool which allows developers and administrators to reliably deploy, upgrade and roll back a service-oriented system consisting of various types of components in a heterogeneous environment from declarative specifications.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Deployment of a service-oriented system in a network of machines is often complex and labourious. In many cases components implementing a service have to be built from source code for the right target platform, transferred to the right machines with the right capabilities and activated in the right order. Upgrading a running system is even more difficult as this may break the running system and cannot be performed atomically. Many approaches that deal with the complexity of a distributed deployment process only support certain types of components or specific environments, while general solutions lack certain desirable non-functional properties, such as atomic upgrading. This paper shows Disnix, a deployment tool which allows developers and administrators to reliably deploy, upgrade and roll back a service-oriented system consisting of various types of components in a heterogeneous environment from declarative specifications.",
"fno": "05598096",
"keywords": [
"Distributed Processing",
"Software Architecture",
"Heterogeneous Service Oriented System",
"Running System",
"Distributed Deployment Process",
"Disnix",
"Web Services",
"Databases",
"Software",
"Libraries",
"Java",
"Complexity Theory",
"Servers",
"Service Oriented",
"Distributed Systems",
"Software Deployment",
"SOA"
],
"authors": [
{
"affiliation": null,
"fullName": "Sander van der Burg",
"givenName": "Sander",
"surname": "van der Burg",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Eelco Dolstra",
"givenName": "Eelco",
"surname": "Dolstra",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "seaa",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2010-09-01T00:00:00",
"pubType": "proceedings",
"pages": "183-190",
"year": "2010",
"issn": "1089-6503",
"isbn": "978-1-4244-7901-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "05598095",
"articleId": "12OmNzZEArX",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "05598097",
"articleId": "12OmNBEYzNt",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/isorc/2007/2765/0/04208852",
"title": "An Approach to Automated Agent Deployment in Service-Based Systems",
"doi": null,
"abstractUrl": "/proceedings-article/isorc/2007/04208852/12OmNBIFmsb",
"parentPublication": {
"id": "proceedings/isorc/2007/2765/0",
"title": "10th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC'07)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/lcn/2016/2054/0/2054a571",
"title": "Incremental Switch Deployment for Hybrid Software-Defined Networks",
"doi": null,
"abstractUrl": "/proceedings-article/lcn/2016/2054a571/12OmNrYCXIx",
"parentPublication": {
"id": "proceedings/lcn/2016/2054/0",
"title": "2016 IEEE 41st Conference on Local Computer Networks (LCN)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/services/2013/5024/0/5024a436",
"title": "A Game Theory of Cloud Service Deployment",
"doi": null,
"abstractUrl": "/proceedings-article/services/2013/5024a436/12OmNvAAttz",
"parentPublication": {
"id": "proceedings/services/2013/5024/0",
"title": "2013 IEEE World Congress on Services (SERVICES)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sose/2014/3616/0/3616a237",
"title": "Developing Service Oriented Robot Control System",
"doi": null,
"abstractUrl": "/proceedings-article/sose/2014/3616a237/12OmNvDI3NG",
"parentPublication": {
"id": "proceedings/sose/2014/3616/0",
"title": "2014 IEEE 8th International Symposium on Service Oriented System Engineering (SOSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsea/2009/3777/0/3777a065",
"title": "Reuse-Oriented Deployment of Software Components: Congregation in Service-Oriented Development",
"doi": null,
"abstractUrl": "/proceedings-article/icsea/2009/3777a065/12OmNvjgWR3",
"parentPublication": {
"id": "proceedings/icsea/2009/3777/0",
"title": "Software Engineering Advances, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/services/2013/5024/0/5024a464",
"title": "Pattern-Based Deployment Service for Next Generation Clouds",
"doi": null,
"abstractUrl": "/proceedings-article/services/2013/5024a464/12OmNwO5LTJ",
"parentPublication": {
"id": "proceedings/services/2013/5024/0",
"title": "2013 IEEE World Congress on Services (SERVICES)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hotswup/2012/1764/0/06226613",
"title": "A generic approach for deploying and upgrading mutable software components",
"doi": null,
"abstractUrl": "/proceedings-article/hotswup/2012/06226613/12OmNxETajJ",
"parentPublication": {
"id": "proceedings/hotswup/2012/1764/0",
"title": "2012 Fourth International Workshop on Hot Topics in Software Upgrades (HotSWUp 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wse/2013/1608/0/06642423",
"title": "Migrating to service-oriented systems (Why and how to avoid developing customized software applications from scratch)",
"doi": null,
"abstractUrl": "/proceedings-article/wse/2013/06642423/12OmNxecS9H",
"parentPublication": {
"id": "proceedings/wse/2013/1608/0",
"title": "2013 IEEE 15th International Symposium on Web Systems Evolution (WSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iciw/2010/4022/0/4022a149",
"title": "Design of a Framework for Automated Service Mashup Creation and Execution Based on Semantic Reasoning",
"doi": null,
"abstractUrl": "/proceedings-article/iciw/2010/4022a149/12OmNz5JC3N",
"parentPublication": {
"id": "proceedings/iciw/2010/4022/0",
"title": "Internet and Web Applications and Services, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icws/2022/8143/0/814300a057",
"title": "Low Latency Deployment of Service-based Data-intensive Applications in Cloud-Edge Environment",
"doi": null,
"abstractUrl": "/proceedings-article/icws/2022/814300a057/1GIuFqtzIU8",
"parentPublication": {
"id": "proceedings/icws/2022/8143/0",
"title": "2022 IEEE International Conference on Web Services (ICWS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "13xI8A66zF3",
"title": "2018 IEEE 11th International Conference on Cloud Computing (CLOUD)",
"acronym": "cloud",
"groupId": "1002911",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "13xI8AcUWLW",
"doi": "10.1109/CLOUD.2018.00048",
"title": "Beyond Generic Lifecycles: Reusable Modeling of Custom-Fit Management Workflows for Cloud Applications",
"normalizedTitle": "Beyond Generic Lifecycles: Reusable Modeling of Custom-Fit Management Workflows for Cloud Applications",
"abstract": "Automated management and orchestration of cloud applications have become increasingly important, partly due to the large skills shortage in IT operations and the increasing complexity of cloud applications. Cloud modeling languages play an important role in this, both for describing the structure of a cloud application and specifying the management actions around it. The TOSCA cloud model standard recently defined declarative workflows as the preferred way to specify these management actions but, as noted in the standard itself, this is far from ideal. This paper draws lessons from six years of using declarative workflows in Juju for deploying and managing complex platforms such as OpenStack and Kubernetes in production. This confirms the limitations: declarative workflows are inflexible, hard to reuse, and allow for related components to become silently incompatible. This paper proposes the reactive pattern to solve these issues by enabling the creation of emergent workflows using declarative flags and handlers, which can be easily grouped into reusable layers. After more than two years of using this pattern in production as part of our charms. reactive framework, it is clear that it enables reusability and ensures compatibility: 67% of reactive charms share parts of the management workflow and 73% of reactive charms share a relationship workflow.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Automated management and orchestration of cloud applications have become increasingly important, partly due to the large skills shortage in IT operations and the increasing complexity of cloud applications. Cloud modeling languages play an important role in this, both for describing the structure of a cloud application and specifying the management actions around it. The TOSCA cloud model standard recently defined declarative workflows as the preferred way to specify these management actions but, as noted in the standard itself, this is far from ideal. This paper draws lessons from six years of using declarative workflows in Juju for deploying and managing complex platforms such as OpenStack and Kubernetes in production. This confirms the limitations: declarative workflows are inflexible, hard to reuse, and allow for related components to become silently incompatible. This paper proposes the reactive pattern to solve these issues by enabling the creation of emergent workflows using declarative flags and handlers, which can be easily grouped into reusable layers. After more than two years of using this pattern in production as part of our charms. reactive framework, it is clear that it enables reusability and ensures compatibility: 67% of reactive charms share parts of the management workflow and 73% of reactive charms share a relationship workflow.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Automated management and orchestration of cloud applications have become increasingly important, partly due to the large skills shortage in IT operations and the increasing complexity of cloud applications. Cloud modeling languages play an important role in this, both for describing the structure of a cloud application and specifying the management actions around it. The TOSCA cloud model standard recently defined declarative workflows as the preferred way to specify these management actions but, as noted in the standard itself, this is far from ideal. This paper draws lessons from six years of using declarative workflows in Juju for deploying and managing complex platforms such as OpenStack and Kubernetes in production. This confirms the limitations: declarative workflows are inflexible, hard to reuse, and allow for related components to become silently incompatible. This paper proposes the reactive pattern to solve these issues by enabling the creation of emergent workflows using declarative flags and handlers, which can be easily grouped into reusable layers. After more than two years of using this pattern in production as part of our charms. reactive framework, it is clear that it enables reusability and ensures compatibility: 67% of reactive charms share parts of the management workflow and 73% of reactive charms share a relationship workflow.",
"fno": "723501a326",
"keywords": [
"Cloud Computing",
"Custom Fit Management Workflows",
"Cloud Modeling Languages",
"Management Actions",
"TOSCA Cloud Model Standard",
"Declarative Workflows",
"Management Workflow",
"IT Operations",
"Cloud Application Orchestration",
"Topology",
"Cloud Computing",
"Standards",
"Production",
"Complexity Theory",
"Databases",
"Libraries",
"Cloud Application Management Cloud Resource Orchestration Declarative Workflows Cloud Modeling Languages TOSCA Juju Code Reuse Event Driven"
],
"authors": [
{
"affiliation": null,
"fullName": "Merlijn Sebrechts",
"givenName": "Merlijn",
"surname": "Sebrechts",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Cory Johns",
"givenName": "Cory",
"surname": "Johns",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Gregory Van Seghbroeck",
"givenName": "Gregory",
"surname": "Van Seghbroeck",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Tim Wauters",
"givenName": "Tim",
"surname": "Wauters",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Bruno Volckaert",
"givenName": "Bruno",
"surname": "Volckaert",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Filip De Turck",
"givenName": "Filip",
"surname": "De Turck",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cloud",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-07-01T00:00:00",
"pubType": "proceedings",
"pages": "326-333",
"year": "2018",
"issn": "2159-6190",
"isbn": "978-1-5386-7235-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "723501a318",
"articleId": "13xI8AI8P50",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "723501a334",
"articleId": "13xI8AY2mmE",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cloud/2015/7287/0/7287a114",
"title": "Instrumentation and Trace Analysis for Ad-Hoc Python Workflows in Cloud Environments",
"doi": null,
"abstractUrl": "/proceedings-article/cloud/2015/7287a114/12OmNBubOQb",
"parentPublication": {
"id": "proceedings/cloud/2015/7287/0",
"title": "2015 IEEE 8th International Conference on Cloud Computing (CLOUD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2017/2686/0/08109197",
"title": "Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2017/08109197/12OmNqBbHV8",
"parentPublication": {
"id": "proceedings/e-science/2017/2686/0",
"title": "2017 IEEE 13th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cloudcom/2016/1445/0/07830693",
"title": "Dynamic Deployment of Scientific Workflows in the Cloud Using Container Virtualization",
"doi": null,
"abstractUrl": "/proceedings-article/cloudcom/2016/07830693/12OmNs0C9JX",
"parentPublication": {
"id": "proceedings/cloudcom/2016/1445/0",
"title": "2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cloud/2015/7287/0/7287b037",
"title": "Towards Automated Workflow Deployment in the Cloud Using TOSCA",
"doi": null,
"abstractUrl": "/proceedings-article/cloud/2015/7287b037/12OmNvA1hlp",
"parentPublication": {
"id": "proceedings/cloud/2015/7287/0",
"title": "2015 IEEE 8th International Conference on Cloud Computing (CLOUD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cloudcom/2014/4093/0/4093a650",
"title": "Simplified Resource Provisioning for Workflows in IaaS Clouds",
"doi": null,
"abstractUrl": "/proceedings-article/cloudcom/2014/4093a650/12OmNx3Zjm8",
"parentPublication": {
"id": "proceedings/cloudcom/2014/4093/0",
"title": "2014 IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/td/2017/03/07542141",
"title": "A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds",
"doi": null,
"abstractUrl": "/journal/td/2017/03/07542141/13rRUwvBy8J",
"parentPublication": {
"id": "trans/td",
"title": "IEEE Transactions on Parallel & Distributed Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ucc-companion/2018/0359/0/08605743",
"title": "Transparent Deployment of Scientific Workflows across Clouds - Kubernetes Approach",
"doi": null,
"abstractUrl": "/proceedings-article/ucc-companion/2018/08605743/17D45XH89qo",
"parentPublication": {
"id": "proceedings/ucc-companion/2018/0359/0",
"title": "2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ccgrid/2022/9956/0/995600a826",
"title": "Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus",
"doi": null,
"abstractUrl": "/proceedings-article/ccgrid/2022/995600a826/1F8ziOsyduo",
"parentPublication": {
"id": "proceedings/ccgrid/2022/9956/0",
"title": "2022 22nd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/secdev/2022/7182/0/718200a065",
"title": "Secure Development Workflows in CI/CD Pipelines",
"doi": null,
"abstractUrl": "/proceedings-article/secdev/2022/718200a065/1J6hlOOolMI",
"parentPublication": {
"id": "proceedings/secdev/2022/7182/0",
"title": "2022 IEEE Secure Development Conference (SecDev)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ldav/2020/8468/0/846800a001",
"title": "DIVA: A Declarative and Reactive Language for in situ Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/ldav/2020/846800a001/1pZ0TBE8Yjm",
"parentPublication": {
"id": "proceedings/ldav/2020/8468/0",
"title": "2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1aIRXQWdiUM",
"title": "2019 International Conference on Information Networking (ICOIN)",
"acronym": "icoin",
"groupId": "1000363",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1aIS30FVkWs",
"doi": "10.1109/ICOIN.2019.8718166",
"title": "Distributed Key-Value Storage for Edge Computing and its Explicit Data Distribution Method",
"normalizedTitle": "Distributed Key-Value Storage for Edge Computing and its Explicit Data Distribution Method",
"abstract": "In this article, we provide a data framework for edge computing where developers can easily attain efficient data transfer between devices or users. We propose a distributed key-value storage platform for edge computing and its explicit data distribution management method. In this platform, edge servers organize the distributed key-value storage in a uniform namespace. To enable fast data access to a record in edge computing, the allocation strategy of the record and its cache on the edge servers is important. Our platform offers a distributed objects that can dynamically change home server and allocate cache objects following user defined rules. A rule is defined in a declarative manner and specifies where to place cache objects depending on the status of the target record and its associated records. We also integrate a push notification system using WebSocket to immediately notify events on a specified table. We evaluate the performance of our system using a messaging service application between mobile appliances.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this article, we provide a data framework for edge computing where developers can easily attain efficient data transfer between devices or users. We propose a distributed key-value storage platform for edge computing and its explicit data distribution management method. In this platform, edge servers organize the distributed key-value storage in a uniform namespace. To enable fast data access to a record in edge computing, the allocation strategy of the record and its cache on the edge servers is important. Our platform offers a distributed objects that can dynamically change home server and allocate cache objects following user defined rules. A rule is defined in a declarative manner and specifies where to place cache objects depending on the status of the target record and its associated records. We also integrate a push notification system using WebSocket to immediately notify events on a specified table. We evaluate the performance of our system using a messaging service application between mobile appliances.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this article, we provide a data framework for edge computing where developers can easily attain efficient data transfer between devices or users. We propose a distributed key-value storage platform for edge computing and its explicit data distribution management method. In this platform, edge servers organize the distributed key-value storage in a uniform namespace. To enable fast data access to a record in edge computing, the allocation strategy of the record and its cache on the edge servers is important. Our platform offers a distributed objects that can dynamically change home server and allocate cache objects following user defined rules. A rule is defined in a declarative manner and specifies where to place cache objects depending on the status of the target record and its associated records. We also integrate a push notification system using WebSocket to immediately notify events on a specified table. We evaluate the performance of our system using a messaging service application between mobile appliances.",
"fno": "08718166",
"keywords": [
"Cache Storage",
"File Servers",
"Internet",
"Mobile Computing",
"Resource Allocation",
"Edge Computing",
"Explicit Data Distribution Method",
"Data Framework",
"Distributed Key Value Storage Platform",
"Explicit Data Distribution Management Method",
"Edge Servers",
"Distributed Objects",
"Cache Objects",
"Data Access",
"Data Transfer",
"Servers",
"Edge Computing",
"Distributed Databases",
"Message Service",
"Data Structures",
"Cloud Computing",
"Data Transfer",
"Edge Computing",
"Pub Sub System",
"Distributed Key Value Storage",
"Distributed Cache"
],
"authors": [
{
"affiliation": "Kobe University, Graduate School of System Informatics, Kobe, Japan",
"fullName": "Takehiro Nagato",
"givenName": "Takehiro",
"surname": "Nagato",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Dept. of Computer science and system engineering, Kobe University, Kobe, Japan",
"fullName": "Takumi Tsutano",
"givenName": "Takumi",
"surname": "Tsutano",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Kobe University, Graduate School of System Informatics, Kobe, Japan",
"fullName": "Tomio Kamada",
"givenName": "Tomio",
"surname": "Kamada",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Kobe University, Graduate School of System Informatics, Kobe, Japan",
"fullName": "Yumi Takaki",
"givenName": "Yumi",
"surname": "Takaki",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Kobe University, Graduate School of Science Technology and Innovation, Kobe, Japan",
"fullName": "Chikara Ohta",
"givenName": "Chikara",
"surname": "Ohta",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icoin",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-01-01T00:00:00",
"pubType": "proceedings",
"pages": "147-152",
"year": "2019",
"issn": "1976-7684",
"isbn": "978-1-5386-8350-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08718136",
"articleId": "1aIS1vEjQZy",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08718147",
"articleId": "1aIS10Lagog",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iscc/2015/7194/0/07405580",
"title": "SKVM: Scaling in-memory Key-Value store on multicore",
"doi": null,
"abstractUrl": "/proceedings-article/iscc/2015/07405580/12OmNApu5qX",
"parentPublication": {
"id": "proceedings/iscc/2015/7194/0",
"title": "2015 IEEE Symposium on Computers and Communication (ISCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdcs/2017/1792/0/1792a583",
"title": "Distributed Load Balancing in Key-Value Networked Caches",
"doi": null,
"abstractUrl": "/proceedings-article/icdcs/2017/1792a583/12OmNBkP3Fm",
"parentPublication": {
"id": "proceedings/icdcs/2017/1792/0",
"title": "2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/2008/2574/0/04660127",
"title": "DHB-KEY: An efficient key distribution scheme for wireless sensor networks",
"doi": null,
"abstractUrl": "/proceedings-article/mass/2008/04660127/12OmNBpVQ07",
"parentPublication": {
"id": "proceedings/mass/2008/2574/0",
"title": "2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpads/2013/2081/0/2081a434",
"title": "Pangaea: A Single Key Space, Inter-datacenter Key-Value Store",
"doi": null,
"abstractUrl": "/proceedings-article/icpads/2013/2081a434/12OmNwCJOJL",
"parentPublication": {
"id": "proceedings/icpads/2013/2081/0",
"title": "2013 International Conference on Parallel and Distributed Systems (ICPADS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/greencom-ithingscpscom/2013/5046/0/06682235",
"title": "An IO Optimized Data Access Method in Distributed Key-Value Storage System",
"doi": null,
"abstractUrl": "/proceedings-article/greencom-ithingscpscom/2013/06682235/12OmNyOHG6u",
"parentPublication": {
"id": "proceedings/greencom-ithingscpscom/2013/5046/0",
"title": "2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things(iThings) and IEEE Cyber, Physical and Social Computing(CPSCom)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/cc/2017/01/06995996",
"title": "kBF: Towards Approximate and Bloom Filter based Key-Value Storage for Cloud Computing Systems",
"doi": null,
"abstractUrl": "/journal/cc/2017/01/06995996/13rRUxC0SxW",
"parentPublication": {
"id": "trans/cc",
"title": "IEEE Transactions on Cloud Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/edge/2021/0062/0/006200a111",
"title": "Mobile Edge Data Cooperative Cache Admission Based on Content Popularity",
"doi": null,
"abstractUrl": "/proceedings-article/edge/2021/006200a111/1B4lWITSnXq",
"parentPublication": {
"id": "proceedings/edge/2021/0062/0",
"title": "2021 IEEE International Conference on Edge Computing (EDGE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/srds/2019/4222/0/422200a268",
"title": "Toward an in-Kernel High Performance Key-Value Store Implementation",
"doi": null,
"abstractUrl": "/proceedings-article/srds/2019/422200a268/1iESbhCYxGM",
"parentPublication": {
"id": "proceedings/srds/2019/4222/0",
"title": "2019 38th Symposium on Reliable Distributed Systems (SRDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iscc/2020/8086/0/09219667",
"title": "EdgeKV: Distributed Key-Value Store for the Network Edge",
"doi": null,
"abstractUrl": "/proceedings-article/iscc/2020/09219667/1nRPqB4SPGo",
"parentPublication": {
"id": "proceedings/iscc/2020/8086/0",
"title": "2020 IEEE Symposium on Computers and Communications (ISCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdcs/2020/7002/0/700200b112",
"title": "SineKV: Decoupled Secondary Indexing for LSM-based Key-Value Stores",
"doi": null,
"abstractUrl": "/proceedings-article/icdcs/2020/700200b112/1rsiOVdCoeY",
"parentPublication": {
"id": "proceedings/icdcs/2020/7002/0",
"title": "2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNy3iFul",
"title": "2014 18th International Conference on Information Visualisation (IV)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2014",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNBJNL1S",
"doi": "10.1109/IV.2014.21",
"title": "Using Visual Cues on DOITree for Visualizing Large Hierarchical Data",
"normalizedTitle": "Using Visual Cues on DOITree for Visualizing Large Hierarchical Data",
"abstract": "This paper extends a previous work on node link tree visualization and interaction by providing visual clues on hidden structures. We adopt the effectiveness of DOI Tree, a multi-focal tree layout algorithm, for exploring large hierarchical structures. The advantages of visualization are its most familiar mapping for users, its capability on providing multiple focused nodes, and its dynamic rescaling of substructures to fit the available space. By providing various methods of topological previews of substructure including simple icon view, tree view and tree map view, we provide better understanding the topology of hidden branches.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper extends a previous work on node link tree visualization and interaction by providing visual clues on hidden structures. We adopt the effectiveness of DOI Tree, a multi-focal tree layout algorithm, for exploring large hierarchical structures. The advantages of visualization are its most familiar mapping for users, its capability on providing multiple focused nodes, and its dynamic rescaling of substructures to fit the available space. By providing various methods of topological previews of substructure including simple icon view, tree view and tree map view, we provide better understanding the topology of hidden branches.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper extends a previous work on node link tree visualization and interaction by providing visual clues on hidden structures. We adopt the effectiveness of DOI Tree, a multi-focal tree layout algorithm, for exploring large hierarchical structures. The advantages of visualization are its most familiar mapping for users, its capability on providing multiple focused nodes, and its dynamic rescaling of substructures to fit the available space. By providing various methods of topological previews of substructure including simple icon view, tree view and tree map view, we provide better understanding the topology of hidden branches.",
"fno": "4103a001",
"keywords": [
"Visualization",
"Data Visualization",
"Topology",
"Vegetation",
"Navigation",
"Layout",
"File Systems",
"Interactive Visualization",
"Tree Visualization",
"Hierarchical Visualization",
"Exploration"
],
"authors": [
{
"affiliation": null,
"fullName": "Quang Vinh Nguyen",
"givenName": "Quang Vinh",
"surname": "Nguyen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Simeon Simoff",
"givenName": "Simeon",
"surname": "Simoff",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Mao Lin Huang",
"givenName": "Mao Lin",
"surname": "Huang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2014-07-01T00:00:00",
"pubType": "proceedings",
"pages": "1-6",
"year": "2014",
"issn": "1550-6037",
"isbn": "978-1-4799-4103-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4103z035",
"articleId": "12OmNBpVQ0F",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4103a007",
"articleId": "12OmNCgrDcV",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ldav/2012/4733/0/06378962",
"title": "Interactive exploration of large-scale time-varying data using dynamic tracking graphs",
"doi": null,
"abstractUrl": "/proceedings-article/ldav/2012/06378962/12OmNAPjA7B",
"parentPublication": {
"id": "proceedings/ldav/2012/4733/0",
"title": "2012 IEEE Symposium on Large Data Analysis and Visualization (LDAV 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icis/2012/1536/0/06211817",
"title": "Modified RELT for Display and Navigation of Large Hierarchy on Handheld Touch-Screen Devices",
"doi": null,
"abstractUrl": "/proceedings-article/icis/2012/06211817/12OmNB9KHwT",
"parentPublication": {
"id": "proceedings/icis/2012/1536/0",
"title": "2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smartcity/2015/1893/0/1893a882",
"title": "SpaceViz: Visualization Tool for the Computer Storage Big-Data",
"doi": null,
"abstractUrl": "/proceedings-article/smartcity/2015/1893a882/12OmNC3XhpQ",
"parentPublication": {
"id": "proceedings/smartcity/2015/1893/0",
"title": "2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/issrew/2013/2552/0/06688890",
"title": "Cues for scent intensification in debugging",
"doi": null,
"abstractUrl": "/proceedings-article/issrew/2013/06688890/12OmNvw2TbO",
"parentPublication": {
"id": "proceedings/issrew/2013/2552/0",
"title": "2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ism/2011/4589/0/4589a553",
"title": "The Tempo-Structural Fisheye Slider for Navigation in Web Lectures",
"doi": null,
"abstractUrl": "/proceedings-article/ism/2011/4589a553/12OmNxHrygm",
"parentPublication": {
"id": "proceedings/ism/2011/4589/0",
"title": "2011 IEEE International Symposium on Multimedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vlhcc/2011/1246/0/06070388",
"title": "Visualizing call graphs",
"doi": null,
"abstractUrl": "/proceedings-article/vlhcc/2011/06070388/12OmNxjjEdP",
"parentPublication": {
"id": "proceedings/vlhcc/2011/1246/0",
"title": "2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2011)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2011/935/0/05742381",
"title": "The NETSPEAK WORDGRAPH: Visualizing keywords in context",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2011/05742381/12OmNy2rRZ8",
"parentPublication": {
"id": "proceedings/pacificvis/2011/935/0",
"title": "2011 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icis/2014/4860/0/06912178",
"title": "Geometry based visualization of hierarchical structures",
"doi": null,
"abstractUrl": "/proceedings-article/icis/2014/06912178/12OmNyQYtsb",
"parentPublication": {
"id": "proceedings/icis/2014/4860/0",
"title": "2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smartcity/2015/1893/0/1893a694",
"title": "Visualizing Big Hierarchical Datasets on Concentric Rings",
"doi": null,
"abstractUrl": "/proceedings-article/smartcity/2015/1893a694/12OmNyYm2Aa",
"parentPublication": {
"id": "proceedings/smartcity/2015/1893/0",
"title": "2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/04/08901998",
"title": "Visualizing Hierarchical Performance Profiles of Parallel Codes Using <sc>CallFlow</sc>",
"doi": null,
"abstractUrl": "/journal/tg/2021/04/08901998/1eYNalb5kQM",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNAQJzKb",
"title": "2015 IEEE Pacific Visualization Symposium (PacificVis)",
"acronym": "pacificvis",
"groupId": "1001657",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNrYCXXM",
"doi": "10.1109/PACIFICVIS.2015.7156377",
"title": "MetaTracts - A method for robust extraction and visualization of carbon fiber bundles in fiber reinforced composites",
"normalizedTitle": "MetaTracts - A method for robust extraction and visualization of carbon fiber bundles in fiber reinforced composites",
"abstract": "This work introduces MetaTracts, a novel method for extracting and visualizing individual fiber bundles and weaving patterns from X-ray computed tomography (XCT) scans of endless carbon fiber reinforced polymers (CFRP). The proposed work flow is designed to analyze unit cells of CFRP materials integrating the recurring weaving pattern. It is designed to handle XCT scans of low resolution, in which individual fibers are not visible or are barely visible. First, a coarse version of integral curves is used to trace subsections of the individual fiber bundles in the woven CFRP materials. We call these sections MetaTracts. In the second step, these extracted fiber bundle sections (MetaTracts) are clustered using a two-step approach: first by orientation, then by proximity. The tool can generate volumetric representations as well as surface models of the extracted fiber bundles to be exported for further analysis. We evaluate the proposed work flow on a number of real world datasets and demonstrate that MetaTracts effectively and robustly identifies and separates different fiber bundles.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This work introduces MetaTracts, a novel method for extracting and visualizing individual fiber bundles and weaving patterns from X-ray computed tomography (XCT) scans of endless carbon fiber reinforced polymers (CFRP). The proposed work flow is designed to analyze unit cells of CFRP materials integrating the recurring weaving pattern. It is designed to handle XCT scans of low resolution, in which individual fibers are not visible or are barely visible. First, a coarse version of integral curves is used to trace subsections of the individual fiber bundles in the woven CFRP materials. We call these sections MetaTracts. In the second step, these extracted fiber bundle sections (MetaTracts) are clustered using a two-step approach: first by orientation, then by proximity. The tool can generate volumetric representations as well as surface models of the extracted fiber bundles to be exported for further analysis. We evaluate the proposed work flow on a number of real world datasets and demonstrate that MetaTracts effectively and robustly identifies and separates different fiber bundles.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This work introduces MetaTracts, a novel method for extracting and visualizing individual fiber bundles and weaving patterns from X-ray computed tomography (XCT) scans of endless carbon fiber reinforced polymers (CFRP). The proposed work flow is designed to analyze unit cells of CFRP materials integrating the recurring weaving pattern. It is designed to handle XCT scans of low resolution, in which individual fibers are not visible or are barely visible. First, a coarse version of integral curves is used to trace subsections of the individual fiber bundles in the woven CFRP materials. We call these sections MetaTracts. In the second step, these extracted fiber bundle sections (MetaTracts) are clustered using a two-step approach: first by orientation, then by proximity. The tool can generate volumetric representations as well as surface models of the extracted fiber bundles to be exported for further analysis. We evaluate the proposed work flow on a number of real world datasets and demonstrate that MetaTracts effectively and robustly identifies and separates different fiber bundles.",
"fno": "07156377",
"keywords": [
"Weaving",
"Reliability",
"Carbon",
"Diffusion Tensor Imaging",
"Data Visualization",
"Eigenvalues And Eigenfunctions",
"Visualization",
"I 3 8 COMPUTER GRAPHICS Applications",
"I 4 9 IMAGE PROCESSING AND COMPUTER VISION Applications"
],
"authors": [
{
"affiliation": "The Ohio State University, USA",
"fullName": "Arindam Bhattacharya",
"givenName": "Arindam",
"surname": "Bhattacharya",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Applied Sciences - Upper Austria",
"fullName": "Christoph Heinzl",
"givenName": "Christoph",
"surname": "Heinzl",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Applied Sciences - Upper Austria",
"fullName": "Artem Amirkhanov",
"givenName": "Artem",
"surname": "Amirkhanov",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Applied Sciences - Upper Austria",
"fullName": "Johann Kastner",
"givenName": "Johann",
"surname": "Kastner",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "The Ohio State University, USA",
"fullName": "Rephael Wenger",
"givenName": "Rephael",
"surname": "Wenger",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "pacificvis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-04-01T00:00:00",
"pubType": "proceedings",
"pages": "191-198",
"year": "2015",
"issn": null,
"isbn": "978-1-4673-6879-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07156376",
"articleId": "12OmNyo1nYF",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07156378",
"articleId": "12OmNzVXNTn",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icece/2010/4031/0/4031e350",
"title": "Test of Conductive Carbon Fiber Enhancing the Structural Bearing Capacity",
"doi": null,
"abstractUrl": "/proceedings-article/icece/2010/4031e350/12OmNB1NVOH",
"parentPublication": {
"id": "proceedings/icece/2010/4031/0",
"title": "Electrical and Control Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ams/2012/4730/0/4730a231",
"title": "FDTD Method for the Electromagnetic Transient Behavior of Carbon Fiber Reinforced Plastic",
"doi": null,
"abstractUrl": "/proceedings-article/ams/2012/4730a231/12OmNBqMDEJ",
"parentPublication": {
"id": "proceedings/ams/2012/4730/0",
"title": "Asia International Conference on Modelling & Simulation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2010/3962/3/3962e382",
"title": "Simulation Study on the Characteristics of Carbon-Fiber-Reinforced Plastics in Electromagnetic Tomography Nondestructive Evaluation Systems",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2010/3962e382/12OmNqBtiZG",
"parentPublication": {
"id": "proceedings/icmtma/2010/3962/3",
"title": "2010 International Conference on Measuring Technology and Mechatronics Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2005/2766/0/27660008",
"title": "Fast and Reproducible Fiber Bundle Selection in DTI Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2005/27660008/12OmNrY3LpD",
"parentPublication": {
"id": "proceedings/ieee-vis/2005/2766/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/2005/2766/0/01532778",
"title": "Fast and reproducible fiber bundle selection in DTI visualization",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/2005/01532778/12OmNy4r3RG",
"parentPublication": {
"id": "proceedings/ieee-vis/2005/2766/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/05/ttg2008051044",
"title": "Identifying White-Matter Fiber Bundles in DTI Data Using an Automated Proximity-Based Fiber-Clustering Method",
"doi": null,
"abstractUrl": "/journal/tg/2008/05/ttg2008051044/13rRUILLkDI",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2017/08/07493610",
"title": "Interactive Exploration and Visualization Using MetaTracts extracted from Carbon Fiber Reinforced Composites",
"doi": null,
"abstractUrl": "/journal/tg/2017/08/07493610/13rRUwj7cpg",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icicas/2019/6106/0/610600a865",
"title": "Lightning Discharge Characteristics of Carbon Fiber Reinforced Polymer (CFRP) Wind Turbine Blade",
"doi": null,
"abstractUrl": "/proceedings-article/icicas/2019/610600a865/1iHV0dp3UfC",
"parentPublication": {
"id": "proceedings/icicas/2019/6106/0",
"title": "2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aiea/2020/8288/0/828800a771",
"title": "Finite Element Analysis of the Thermal Conductivity and the Specific Heat of Carbon Fiber Reinforced Plastic (CFRP) Composites",
"doi": null,
"abstractUrl": "/proceedings-article/aiea/2020/828800a771/1nTul2L8zjG",
"parentPublication": {
"id": "proceedings/aiea/2020/8288/0",
"title": "2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ifeea/2020/9627/0/962700a239",
"title": "Tension Fatigue Behavior of Carbon Fiber Reinforced Resin Matrix Composites under Spectrum Load",
"doi": null,
"abstractUrl": "/proceedings-article/ifeea/2020/962700a239/1rvCGNgKmE8",
"parentPublication": {
"id": "proceedings/ifeea/2020/9627/0",
"title": "2020 7th International Forum on Electrical Engineering and Automation (IFEEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNyYm2wA",
"title": "Asia-Pacific Symposium on Visualisation 2007",
"acronym": "apvis",
"groupId": "1001657",
"volume": "0",
"displayVolume": "0",
"year": "2007",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzYeARq",
"doi": "10.1109/APVIS.2007.329288",
"title": "Level-of-detail visualization of clustered graph layouts",
"normalizedTitle": "Level-of-detail visualization of clustered graph layouts",
"abstract": "The level-of-detail techniques presented in this paper enable a comprehensible interactive visualization of large and complex clustered graph layouts either in 2D or 3D. Implicit surfaces are used for the visually simplified representation of vertex clusters, and so-called edge bundles are formed for the simplification of edges. Additionally, dedicated transition techniques are provided for continuously adaptive and adjustable views of graphs that range from very abstract to very detailed representations",
"abstracts": [
{
"abstractType": "Regular",
"content": "The level-of-detail techniques presented in this paper enable a comprehensible interactive visualization of large and complex clustered graph layouts either in 2D or 3D. Implicit surfaces are used for the visually simplified representation of vertex clusters, and so-called edge bundles are formed for the simplification of edges. Additionally, dedicated transition techniques are provided for continuously adaptive and adjustable views of graphs that range from very abstract to very detailed representations",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The level-of-detail techniques presented in this paper enable a comprehensible interactive visualization of large and complex clustered graph layouts either in 2D or 3D. Implicit surfaces are used for the visually simplified representation of vertex clusters, and so-called edge bundles are formed for the simplification of edges. Additionally, dedicated transition techniques are provided for continuously adaptive and adjustable views of graphs that range from very abstract to very detailed representations",
"fno": "04126231",
"keywords": [
"Interactive Visualization",
"Level Of Detail Visualization",
"Clustered Graph Layout"
],
"authors": [
{
"affiliation": "Dept. of Comput.&Inf. Sci., Konstanz Univ.",
"fullName": "M. Balzer",
"givenName": "M.",
"surname": "Balzer",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Dept. of Comput.&Inf. Sci., Konstanz Univ.",
"fullName": "O. Deussen",
"givenName": "O.",
"surname": "Deussen",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "apvis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2007-02-01T00:00:00",
"pubType": "proceedings",
"pages": "133-140",
"year": "2007",
"issn": null,
"isbn": "1-4244-0808-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "04126230",
"articleId": "12OmNCeaPW4",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04126232",
"articleId": "12OmNCwlajz",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ieee-infovis/2002/1751/0/17510067",
"title": "Process Visualization with Levels of Detail",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-infovis/2002/17510067/12OmNx7G5SF",
"parentPublication": {
"id": "proceedings/ieee-infovis/2002/1751/0",
"title": "Information Visualization, IEEE Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2012/4660/0/06402554",
"title": "Interactive 4D overview and detail visualization in augmented reality",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2012/06402554/12OmNy3iFjC",
"parentPublication": {
"id": "proceedings/ismar/2012/4660/0",
"title": "2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/06/ttg2008061277",
"title": "Geometry-Based Edge Clustering for Graph Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2008/06/ttg2008061277/13rRUNvyakF",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2012/12/ttg2012122486",
"title": "Interactive Level-of-Detail Rendering of Large Graphs",
"doi": null,
"abstractUrl": "/journal/tg/2012/12/ttg2012122486/13rRUwIF6dQ",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/05/ttg2009050777",
"title": "Uncluttering Graph Layouts Using Anisotropic Diffusion and Mass Transport",
"doi": null,
"abstractUrl": "/journal/tg/2009/05/ttg2009050777/13rRUwInvyr",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009060961",
"title": "A Comparison of User-Generated and Automatic Graph Layouts",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009060961/13rRUwbaqLs",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2011/12/ttg2011122364",
"title": "Skeleton-Based Edge Bundling for Graph Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2011/12/ttg2011122364/13rRUxjyX3W",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2008/06/ttg2008061333",
"title": "Perceptual Organization in User-Generated Graph Layouts",
"doi": null,
"abstractUrl": "/journal/tg/2008/06/ttg2008061333/13rRUyeCkac",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/02/ttg2010020235",
"title": "Route Visualization Using Detail Lenses",
"doi": null,
"abstractUrl": "/journal/tg/2010/02/ttg2010020235/13rRUygT7sx",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192724",
"title": "AmbiguityVis: Visualization of Ambiguity in Graph Layouts",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192724/13rRUyuegpa",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKir9",
"title": "2018 22nd International Conference Information Visualisation (IV)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45XDIXPk",
"doi": "10.1109/iV.2018.00069",
"title": "Rule-Based Visualization of Tableau Calculus for Propositional Logic",
"normalizedTitle": "Rule-Based Visualization of Tableau Calculus for Propositional Logic",
"abstract": "This paper discusses a rule-based approach for visualizing proofs using tableaux techniques. Semantic Tableau is usually used to prove by refutation. In addition, tableaux techniques are commonly studied in different courses. Visualization is an effective teaching methodology. The availability of visualization methods that could be used by instructors is thus important.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper discusses a rule-based approach for visualizing proofs using tableaux techniques. Semantic Tableau is usually used to prove by refutation. In addition, tableaux techniques are commonly studied in different courses. Visualization is an effective teaching methodology. The availability of visualization methods that could be used by instructors is thus important.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper discusses a rule-based approach for visualizing proofs using tableaux techniques. Semantic Tableau is usually used to prove by refutation. In addition, tableaux techniques are commonly studied in different courses. Visualization is an effective teaching methodology. The availability of visualization methods that could be used by instructors is thus important.",
"fno": "720200a368",
"keywords": [
"Computer Aided Instruction",
"Data Visualisation",
"Formal Logic",
"Knowledge Based Systems",
"Process Algebra",
"Teaching",
"Theorem Proving",
"Visualization Methods",
"Rule Based Visualization",
"Propositional Logic",
"Rule Based Approach",
"Proofs",
"Tableaux Techniques",
"Courses",
"Teaching Methodology",
"Tableau Calculus",
"Semantic Tableau",
"Visualization",
"Semantics",
"Tools",
"Animation",
"Education",
"Engines",
"Tableau Proof",
"Visualization",
"Constraint Handling Rules",
"Teaching"
],
"authors": [
{
"affiliation": null,
"fullName": "Nada Sharaf",
"givenName": "Nada",
"surname": "Sharaf",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Slim Abdennadher",
"givenName": "Slim",
"surname": "Abdennadher",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Thom Frühwirth",
"givenName": "Thom",
"surname": "Frühwirth",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-07-01T00:00:00",
"pubType": "proceedings",
"pages": "368-372",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-7202-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "720200a362",
"articleId": "17D45X2fUEw",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "720200a373",
"articleId": "17D45VTRoyg",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2017/0831/0/0831a194",
"title": "A Rule-Based Approach for Automatic Interaction Detection and Annotation",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2017/0831a194/12OmNAZOJUp",
"parentPublication": {
"id": "proceedings/iv/2017/0831/0",
"title": "2017 21st International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fie/2014/3922/0/07044342",
"title": "An agent-based tutoring system for learning propositional logic using multiple linked representations",
"doi": null,
"abstractUrl": "/proceedings-article/fie/2014/07044342/12OmNBO3K1d",
"parentPublication": {
"id": "proceedings/fie/2014/3922/0",
"title": "2014 IEEE Frontiers in Education Conference (FIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/time/2012/2659/0/06311113",
"title": "An Optimal Tableau System for the Logic of Temporal Neighborhood over the Reals",
"doi": null,
"abstractUrl": "/proceedings-article/time/2012/06311113/12OmNCeK2an",
"parentPublication": {
"id": "proceedings/time/2012/2659/0",
"title": "2012 19th International Symposium on Temporal Representation and Reasoning (TIME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/time/2008/3181/0/3181a110",
"title": "An optimal tableau for Right Propositional Neighborhood Logic over Trees",
"doi": null,
"abstractUrl": "/proceedings-article/time/2008/3181a110/12OmNvAAtkW",
"parentPublication": {
"id": "proceedings/time/2008/3181/0",
"title": "2008 15th International Symposium on Temporal Representation and Reasoning (TIME '08)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/lt/2015/02/06897963",
"title": "A Web-Based Visualization and Animation Platform for Digital Logic Design",
"doi": null,
"abstractUrl": "/journal/lt/2015/02/06897963/13rRUxE04q2",
"parentPublication": {
"id": "trans/lt",
"title": "IEEE Transactions on Learning Technologies",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dasc-picom-datacom-cyberscitech/2017/1956/0/08328374",
"title": "A Smart Visual Analysis Solution for MOOC Data",
"doi": null,
"abstractUrl": "/proceedings-article/dasc-picom-datacom-cyberscitech/2017/08328374/17D45Wuc33m",
"parentPublication": {
"id": "proceedings/dasc-picom-datacom-cyberscitech/2017/1956/0",
"title": "2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2019/9226/0/922600a237",
"title": "Designing Narrative Slideshows for Learning Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2019/922600a237/1cMF6FsJ8zK",
"parentPublication": {
"id": "proceedings/pacificvis/2019/9226/0",
"title": "2019 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2019/3485/0/348500a375",
"title": "An Open Model for Student Assessment Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2019/348500a375/1cYi5N5tIZ2",
"parentPublication": {
"id": "proceedings/icalt/2019/3485/2161-377X",
"title": "2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09391769",
"title": "Sentimental Visualization: Semantic Analysis of Online Product Reviews Using Python and Tableau",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09391769/1sBOeguaH5e",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2021/4106/0/410600a129",
"title": "Monitoring Student Team Progress and Responses in Guided Inquiry Learning with Technology",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2021/410600a129/1vJZYDPxCUg",
"parentPublication": {
"id": "proceedings/icalt/2021/4106/0",
"title": "2021 International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1qRNrlo577W",
"title": "2020 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1qRO9q8X6dq",
"doi": "10.1109/VIS47514.2020.00043",
"title": "What are Data Insights to Professional Visualization Users?",
"normalizedTitle": "What are Data Insights to Professional Visualization Users?",
"abstract": "While many visualization researchers have attempted to define data insights, little is known about how visualization users perceive them. We interviewed 23 professional users of end-user visualization platforms (e.g., Tableau and Power BI) about their experiences with data insights. We report on seven characteristics of data insights based on interviewees' descriptions. Grounded in these characteristics, we propose practical implications for creating tools that aim to automatically communicate data insights to users.",
"abstracts": [
{
"abstractType": "Regular",
"content": "While many visualization researchers have attempted to define data insights, little is known about how visualization users perceive them. We interviewed 23 professional users of end-user visualization platforms (e.g., Tableau and Power BI) about their experiences with data insights. We report on seven characteristics of data insights based on interviewees' descriptions. Grounded in these characteristics, we propose practical implications for creating tools that aim to automatically communicate data insights to users.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "While many visualization researchers have attempted to define data insights, little is known about how visualization users perceive them. We interviewed 23 professional users of end-user visualization platforms (e.g., Tableau and Power BI) about their experiences with data insights. We report on seven characteristics of data insights based on interviewees' descriptions. Grounded in these characteristics, we propose practical implications for creating tools that aim to automatically communicate data insights to users.",
"fno": "801400a181",
"keywords": [
"Data Visualisation",
"Data Insights",
"Professional Visualization Users",
"Visualization Researchers",
"End User Visualization Platforms",
"Tableau Platform",
"Power BI Platform",
"Conferences",
"Data Visualization",
"Tools",
"Interviews",
"Human Centered Computing",
"Visualization",
"Visualization Theory",
"Concepts And Paradigms"
],
"authors": [
{
"affiliation": "Georgia Institute of Technology",
"fullName": "Po-Ming Law",
"givenName": "Po-Ming",
"surname": "Law",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Georgia Institute of Technology",
"fullName": "Alex Endert",
"givenName": "Alex",
"surname": "Endert",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Georgia Institute of Technology",
"fullName": "John Stasko",
"givenName": "John",
"surname": "Stasko",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-10-01T00:00:00",
"pubType": "proceedings",
"pages": "181-185",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-8014-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1qRO98V68SI",
"name": "pvis202080140-09331294s1-mm_801400a181.zip",
"size": "435 kB",
"location": "https://www.computer.org/csdl/api/v1/extra/pvis202080140-09331294s1-mm_801400a181.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "801400a176",
"articleId": "1qROcCF5NiU",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "801400a186",
"articleId": "1qROmg6Kdi0",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iv/2011/0868/0/06004064",
"title": "Listening to Managers: A Study about Visualizations in Corporate Presentations",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2011/06004064/12OmNqBbHF8",
"parentPublication": {
"id": "proceedings/iv/2011/0868/0",
"title": "2011 15th International Conference on Information Visualisation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2015/04/mcg2015040028",
"title": "Characterizing Visualization Insights from Quantified Selfers' Personal Data Presentations",
"doi": null,
"abstractUrl": "/magazine/cg/2015/04/mcg2015040028/13rRUxCRFQl",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2013/06/mcg2013060082",
"title": "Visualization Collaborations: What Works and Why",
"doi": null,
"abstractUrl": "/magazine/cg/2013/06/mcg2013060082/13rRUxYrbX2",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09903596",
"title": "Diverse Interaction Recommendation for Public Users Exploring Multi-view Visualization using Deep Learning",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09903596/1GZoo1brGne",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsme/2019/3094/0/309400a546",
"title": "Assuring the Evolvability of Microservices: Insights into Industry Practices and Challenges",
"doi": null,
"abstractUrl": "/proceedings-article/icsme/2019/309400a546/1fHlDjsn6oM",
"parentPublication": {
"id": "proceedings/icsme/2019/3094/0",
"title": "2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/09/09056539",
"title": "Dataless Sharing of Interactive Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2021/09/09056539/1iJ5w45wq1a",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a171",
"title": "Characterizing Automated Data Insights",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a171/1qROmjyLLmE",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552876",
"title": "Learning Objectives, Insights, and Assessments: How Specification Formats Impact Design",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552876/1xic1wsZtLi",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552192",
"title": "From Jam Session to Recital: Synchronous Communication and Collaboration Around Data in Organizations",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552192/1xic6Zrane0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09555620",
"title": "VizSnippets: Compressing Visualization Bundles Into Representative Previews for Browsing Visualization Collections",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09555620/1xlvYtlxuKY",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKir6",
"title": "2018 24th International Conference on Pattern Recognition (ICPR)",
"acronym": "icpr",
"groupId": "1000545",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45WK5Apy",
"doi": "10.1109/ICPR.2018.8545659",
"title": "Generalized Fisher Discriminant Analysis as A Dimensionality Reduction Technique",
"normalizedTitle": "Generalized Fisher Discriminant Analysis as A Dimensionality Reduction Technique",
"abstract": "Fisher Discriminant Analysis (FDA) has been widely used as a dimensionality reduction technique. Its application varies from face recognition to speaker recognition. In the past two decades, there have been many variations on the formulation of FDA. Different variations adopt different ways to combine the between-class scatter matrix and the within-class scatter matrix, which are two basic components in FDA. In this paper, we propose the Generalized Fisher Discriminant Analysis (GFDA), which provides a general formulation for FDA. GFDA generalizes the standard FDA as well as many different variants of FDA, such as Regularized Linear Discriminant Analysis (R-LDA), Regularized Kernel Discriminant Analysis (R-KDA), Inverse Fisher Discriminant Analysis (IFDA), and Regularized Fisher Discriminant Analysis (RFDA). GFDA can also degenerate to Principal Component Analysis (PCA). Four special types of GFDA are then applied as dimensionality reduction techniques for speaker recognition, in order to investigate the performance of different variants of FDA. Basically, GFDA provides a convenient way to compare different variants of FDA by simply changing some parameters. It makes it easier to explore the roles that the between-class scatter matrix and the within-class scatter matrix play.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Fisher Discriminant Analysis (FDA) has been widely used as a dimensionality reduction technique. Its application varies from face recognition to speaker recognition. In the past two decades, there have been many variations on the formulation of FDA. Different variations adopt different ways to combine the between-class scatter matrix and the within-class scatter matrix, which are two basic components in FDA. In this paper, we propose the Generalized Fisher Discriminant Analysis (GFDA), which provides a general formulation for FDA. GFDA generalizes the standard FDA as well as many different variants of FDA, such as Regularized Linear Discriminant Analysis (R-LDA), Regularized Kernel Discriminant Analysis (R-KDA), Inverse Fisher Discriminant Analysis (IFDA), and Regularized Fisher Discriminant Analysis (RFDA). GFDA can also degenerate to Principal Component Analysis (PCA). Four special types of GFDA are then applied as dimensionality reduction techniques for speaker recognition, in order to investigate the performance of different variants of FDA. Basically, GFDA provides a convenient way to compare different variants of FDA by simply changing some parameters. It makes it easier to explore the roles that the between-class scatter matrix and the within-class scatter matrix play.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Fisher Discriminant Analysis (FDA) has been widely used as a dimensionality reduction technique. Its application varies from face recognition to speaker recognition. In the past two decades, there have been many variations on the formulation of FDA. Different variations adopt different ways to combine the between-class scatter matrix and the within-class scatter matrix, which are two basic components in FDA. In this paper, we propose the Generalized Fisher Discriminant Analysis (GFDA), which provides a general formulation for FDA. GFDA generalizes the standard FDA as well as many different variants of FDA, such as Regularized Linear Discriminant Analysis (R-LDA), Regularized Kernel Discriminant Analysis (R-KDA), Inverse Fisher Discriminant Analysis (IFDA), and Regularized Fisher Discriminant Analysis (RFDA). GFDA can also degenerate to Principal Component Analysis (PCA). Four special types of GFDA are then applied as dimensionality reduction techniques for speaker recognition, in order to investigate the performance of different variants of FDA. Basically, GFDA provides a convenient way to compare different variants of FDA by simply changing some parameters. It makes it easier to explore the roles that the between-class scatter matrix and the within-class scatter matrix play.",
"fno": "08545659",
"keywords": [
"Principal Component Analysis",
"S Matrix Theory",
"Speaker Recognition",
"Dimensionality Reduction Technique",
"Speaker Recognition",
"Between Class Scatter Matrix",
"GFDA",
"Within Class Scatter Matrix Play",
"Regularized Linear Discriminant Analysis",
"Principal Component Analysis",
"Regularized Fisher Discriminant Analysis",
"Inverse Fisher Discriminant Analysis",
"Regularized Kernel Discriminant Analysis",
"Generalized Fisher Discriminant Analysis",
"Kernel",
"Linear Programming",
"Speaker Recognition",
"Principal Component Analysis",
"Dimensionality Reduction",
"Support Vector Machines",
"Linear Discriminant Analysis",
"Generalized Fisher Discriminant Analysis",
"Dimensionality Reduction",
"Speaker Recognition"
],
"authors": [
{
"affiliation": "Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China",
"fullName": "Yuechi Jiang",
"givenName": "Yuechi",
"surname": "Jiang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China",
"fullName": "Frank H. F. Leung",
"givenName": "Frank H. F.",
"surname": "Leung",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-08-01T00:00:00",
"pubType": "proceedings",
"pages": "994-999",
"year": "2018",
"issn": "1051-4651",
"isbn": "978-1-5386-3788-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08545383",
"articleId": "17D45VtKius",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08546020",
"articleId": "17D45XvMcdM",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cgiv/2011/4484/0/4484a092",
"title": "Local Fisher Discriminant Analysis with Maximum Margin Criterion for Image Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/cgiv/2011/4484a092/12OmNAle70R",
"parentPublication": {
"id": "proceedings/cgiv/2011/4484/0",
"title": "2011 Eighth International Conference Computer Graphics, Imaging and Visualization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnc/2008/3304/4/3304d048",
"title": "A New Two-Phase Method of Face Recognition Based on Image Matrix",
"doi": null,
"abstractUrl": "/proceedings-article/icnc/2008/3304d048/12OmNBOllas",
"parentPublication": {
"id": "proceedings/icnc/2008/3304/4",
"title": "2008 Fourth International Conference on Natural Computation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/gcis/2009/3571/2/3571b509",
"title": "A New Method for Linear Dimensionality Reduction",
"doi": null,
"abstractUrl": "/proceedings-article/gcis/2009/3571b509/12OmNqFrGrQ",
"parentPublication": {
"id": "proceedings/gcis/2009/3571/2",
"title": "2009 WRI Global Congress on Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ictai/2009/3920/0/3920a319",
"title": "Robust Speaker Identification Using Multimodal Discriminant Analysis with Kernels",
"doi": null,
"abstractUrl": "/proceedings-article/ictai/2009/3920a319/12OmNrJRPe8",
"parentPublication": {
"id": "proceedings/ictai/2009/3920/0",
"title": "2009 21st IEEE International Conference on Tools with Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2008/2174/0/04761923",
"title": "Generalized Nonlinear Discriminant Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2008/04761923/12OmNwekjFc",
"parentPublication": {
"id": "proceedings/icpr/2008/2174/0",
"title": "ICPR 2008 19th International Conference on Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fskd/2008/3305/2/3305b315",
"title": "Unsupervised Optimal Discriminant Plane Based Feature Extraction Method",
"doi": null,
"abstractUrl": "/proceedings-article/fskd/2008/3305b315/12OmNy6qfM3",
"parentPublication": {
"id": "fskd/2008/3305/2",
"title": "Fuzzy Systems and Knowledge Discovery, Fourth International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2011/02/ttp2011020338",
"title": "Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors",
"doi": null,
"abstractUrl": "/journal/tp/2011/02/ttp2011020338/13rRUwInvKC",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2019/04/08369159",
"title": "A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction",
"doi": null,
"abstractUrl": "/journal/tk/2019/04/08369159/13rRUxASuvN",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2023/02/09760096",
"title": "Discriminant Feature Extraction by Generalized Difference Subspace",
"doi": null,
"abstractUrl": "/journal/tp/2023/02/09760096/1CHszaVjJfO",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKir6",
"title": "2018 24th International Conference on Pattern Recognition (ICPR)",
"acronym": "icpr",
"groupId": "1000545",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45XzbnLm",
"doi": "10.1109/ICPR.2018.8546198",
"title": "Maximum Gradient Dimensionality Reduction",
"normalizedTitle": "Maximum Gradient Dimensionality Reduction",
"abstract": "We propose a novel dimensionality reduction approach based on the gradient of the regression function. Our approach is conceptually similar to Principal Component Analysis, however instead of seeking a low dimensional representation of the predictors that preserve the sample variance, we project onto a basis that preserves those predictors which induce the greatest change in the response. Our approach has the benefits of being simple and easy to implement and interpret, while still remaining very competitive with sophisticated state-of-the-art approaches.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We propose a novel dimensionality reduction approach based on the gradient of the regression function. Our approach is conceptually similar to Principal Component Analysis, however instead of seeking a low dimensional representation of the predictors that preserve the sample variance, we project onto a basis that preserves those predictors which induce the greatest change in the response. Our approach has the benefits of being simple and easy to implement and interpret, while still remaining very competitive with sophisticated state-of-the-art approaches.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We propose a novel dimensionality reduction approach based on the gradient of the regression function. Our approach is conceptually similar to Principal Component Analysis, however instead of seeking a low dimensional representation of the predictors that preserve the sample variance, we project onto a basis that preserves those predictors which induce the greatest change in the response. Our approach has the benefits of being simple and easy to implement and interpret, while still remaining very competitive with sophisticated state-of-the-art approaches.",
"fno": "08546198",
"keywords": [
"Dimensionality Reduction",
"Principal Component Analysis",
"Task Analysis",
"Training Data",
"Linear Regression",
"Prediction Algorithms",
"Feature Extraction"
],
"authors": [
{
"affiliation": "Department of Computer Science, University of Waikato, Hamilton, 3240, New Zealand",
"fullName": "Xianghui Luo",
"givenName": "Xianghui",
"surname": "Luo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Mathematics and Statistics, University of Waikato, Hamilton, 3240, New Zealand",
"fullName": "Robert J. Durrant",
"givenName": "Robert J.",
"surname": "Durrant",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-08-01T00:00:00",
"pubType": "proceedings",
"pages": "501-506",
"year": "2018",
"issn": "1051-4651",
"isbn": "978-1-5386-3788-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08545898",
"articleId": "17D45VtKiwe",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08545207",
"articleId": "17D45WB0qcC",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icmla/2011/4607/1/4607a275",
"title": "Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression",
"doi": null,
"abstractUrl": "/proceedings-article/icmla/2011/4607a275/12OmNxWLTmw",
"parentPublication": {
"id": "proceedings/icmla/2011/4607/1",
"title": "Machine Learning and Applications, Fourth International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2011/04/ttp2011040657",
"title": "Central Subspace Dimensionality Reduction Using Covariance Operators",
"doi": null,
"abstractUrl": "/journal/tp/2011/04/ttp2011040657/13rRUwbJD63",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2019/04/08369159",
"title": "A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction",
"doi": null,
"abstractUrl": "/journal/tk/2019/04/08369159/13rRUxASuvN",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2004/04/v0459",
"title": "Robust Linear Dimensionality Reduction",
"doi": null,
"abstractUrl": "/journal/tg/2004/04/v0459/13rRUxBJhFl",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621556",
"title": "Comparison of dimensionality reduction methods for TCM symptom information",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621556/17D45Xbl4O3",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2020/11/08723614",
"title": "MOSES: A Streaming Algorithm for Linear Dimensionality Reduction",
"doi": null,
"abstractUrl": "/journal/tp/2020/11/08723614/1aqKRzAZSow",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/01/08805461",
"title": "Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning",
"doi": null,
"abstractUrl": "/journal/tg/2020/01/08805461/1cG4ulCK5S8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sitis/2019/5686/0/568600a577",
"title": "Autoencoder Based Dimensionality Reduction of Feature Vectors for Object Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/sitis/2019/568600a577/1j9xB188lAk",
"parentPublication": {
"id": "proceedings/sitis/2019/5686/0",
"title": "2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/03/09543512",
"title": "Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results",
"doi": null,
"abstractUrl": "/journal/tk/2023/03/09543512/1x4UGJ56Qpy",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09555244",
"title": "Interactive Dimensionality Reduction for Comparative Analysis",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09555244/1xjR1QZtkTS",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1yXu6NL4pqw",
"title": "2021 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1yXuftZECbe",
"doi": "10.1109/VIS49827.2021.9623322",
"title": "Semantic Explanation of Interactive Dimensionality Reduction",
"normalizedTitle": "Semantic Explanation of Interactive Dimensionality Reduction",
"abstract": "Interactive dimensionality reduction helps analysts explore the high-dimensional data based on their personal needs and domain-specific problems. Recently, expressive nonlinear models are employed to support these tasks. However, the interpretation of these human-steered nonlinear models during human-in-the-loop analysis has not been explored. To address this problem, we present a new visual explanation design called semantic explanation. Semantic explanation visualizes model behaviors in a manner that is similar to users’ direct projection manipulations. This design conforms to the spatial analytic process and enables analysts better understand the updated model in response to their interactions. We propose a pipeline to empower interactive dimensionality reduction with semantic explanation using counterfactuals. Based on the pipeline, we implement a visual text analytics system with nonlinear dimensionality reduction powered by deep learning via the BERT model. We demonstrate the efficacy of semantic explanation with two case studies of academic article exploration and intelligence analysis.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Interactive dimensionality reduction helps analysts explore the high-dimensional data based on their personal needs and domain-specific problems. Recently, expressive nonlinear models are employed to support these tasks. However, the interpretation of these human-steered nonlinear models during human-in-the-loop analysis has not been explored. To address this problem, we present a new visual explanation design called semantic explanation. Semantic explanation visualizes model behaviors in a manner that is similar to users’ direct projection manipulations. This design conforms to the spatial analytic process and enables analysts better understand the updated model in response to their interactions. We propose a pipeline to empower interactive dimensionality reduction with semantic explanation using counterfactuals. Based on the pipeline, we implement a visual text analytics system with nonlinear dimensionality reduction powered by deep learning via the BERT model. We demonstrate the efficacy of semantic explanation with two case studies of academic article exploration and intelligence analysis.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Interactive dimensionality reduction helps analysts explore the high-dimensional data based on their personal needs and domain-specific problems. Recently, expressive nonlinear models are employed to support these tasks. However, the interpretation of these human-steered nonlinear models during human-in-the-loop analysis has not been explored. To address this problem, we present a new visual explanation design called semantic explanation. Semantic explanation visualizes model behaviors in a manner that is similar to users’ direct projection manipulations. This design conforms to the spatial analytic process and enables analysts better understand the updated model in response to their interactions. We propose a pipeline to empower interactive dimensionality reduction with semantic explanation using counterfactuals. Based on the pipeline, we implement a visual text analytics system with nonlinear dimensionality reduction powered by deep learning via the BERT model. We demonstrate the efficacy of semantic explanation with two case studies of academic article exploration and intelligence analysis.",
"fno": "333500a026",
"keywords": [
"Data Analysis",
"Data Mining",
"Data Visualisation",
"Learning Artificial Intelligence",
"Text Analysis",
"Semantic Explanation",
"Interactive Dimensionality Reduction",
"High Dimensional Data",
"Domain Specific Problems",
"Expressive Nonlinear Models",
"Visual Explanation Design",
"Model Behaviors",
"Updated Model",
"Nonlinear Dimensionality Reduction",
"Dimensionality Reduction",
"Deep Learning",
"Analytical Models",
"Visualization",
"Conferences",
"Semantics",
"Pipelines",
"Interactive Dimensionality Reduction",
"Projection Explanation",
"Counterfactual Explanation",
"Human In The Loop Analysis"
],
"authors": [
{
"affiliation": "Virginia Tech",
"fullName": "Yali Bian",
"givenName": "Yali",
"surname": "Bian",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Virginia Tech",
"fullName": "Chris North",
"givenName": "Chris",
"surname": "North",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Defense",
"fullName": "Eric Krokos",
"givenName": "Eric",
"surname": "Krokos",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Defense",
"fullName": "Sarah Joseph",
"givenName": "Sarah",
"surname": "Joseph",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-10-01T00:00:00",
"pubType": "proceedings",
"pages": "26-30",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-3335-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "333500a021",
"articleId": "1yXuiKXHpHq",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "333500a031",
"articleId": "1yXu7JvSbio",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/dicta/2010/4271/0/4271a349",
"title": "Robust Dimensionality Reduction for Human Action Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/dicta/2010/4271a349/12OmNxwWoRF",
"parentPublication": {
"id": "proceedings/dicta/2010/4271/0",
"title": "2010 International Conference on Digital Image Computing: Techniques and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccrd/2010/4043/0/4043a116",
"title": "A New Supervised Dimensionality Reduction Method for Image Data Using Evolutionary Strategy",
"doi": null,
"abstractUrl": "/proceedings-article/iccrd/2010/4043a116/12OmNybfr7f",
"parentPublication": {
"id": "proceedings/iccrd/2010/4043/0",
"title": "Computer Research and Development, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2009/06/ttg2009060993",
"title": "Interactive Dimensionality Reduction Through User-defined Combinations of Quality Metrics",
"doi": null,
"abstractUrl": "/journal/tg/2009/06/ttg2009060993/13rRUEgs2tm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2011/04/ttp2011040657",
"title": "Central Subspace Dimensionality Reduction Using Covariance Operators",
"doi": null,
"abstractUrl": "/journal/tp/2011/04/ttp2011040657/13rRUwbJD63",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2000/06/i0623",
"title": "Fractional-Step Dimensionality Reduction",
"doi": null,
"abstractUrl": "/journal/tp/2000/06/i0623/13rRUxNmPET",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iiai-aai/2022/9755/0/975500a325",
"title": "Meaning of the Clusters on Dimensionality Reduction by Word Clustering",
"doi": null,
"abstractUrl": "/proceedings-article/iiai-aai/2022/975500a325/1GU6T5a3HI4",
"parentPublication": {
"id": "proceedings/iiai-aai/2022/9755/0",
"title": "2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09904480",
"title": "Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09904480/1H0GkV5P1qo",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aqtr/2020/7164/0/09129967",
"title": "Clustering Documents using the Document to Vector Model for Dimensionality Reduction",
"doi": null,
"abstractUrl": "/proceedings-article/aqtr/2020/09129967/1l6SFIodnjO",
"parentPublication": {
"id": "proceedings/aqtr/2020/7164/0",
"title": "2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/bd/2022/06/09428524",
"title": "EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces",
"doi": null,
"abstractUrl": "/journal/bd/2022/06/09428524/1twasK9vXtS",
"parentPublication": {
"id": "trans/bd",
"title": "IEEE Transactions on Big Data",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09555244",
"title": "Interactive Dimensionality Reduction for Comparative Analysis",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09555244/1xjR1QZtkTS",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNvmowSE",
"title": "2009 Ninth IEEE International Conference on Data Mining",
"acronym": "icdm",
"groupId": "1000179",
"volume": "0",
"displayVolume": "0",
"year": "2009",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNqBbHEo",
"doi": "10.1109/ICDM.2009.94",
"title": "Joint Emotion-Topic Modeling for Social Affective Text Mining",
"normalizedTitle": "Joint Emotion-Topic Modeling for Social Affective Text Mining",
"abstract": "This paper is concerned with the problem of social affective text mining, which aims to discover the connections between social emotions and affective terms based on user-generated emotion labels. We propose a joint emotion-topic model by augmenting latent Dirichlet allocation with an additional layer for emotion modeling. It first generates a set of latent topics from emotions, followed by generating affective terms from each topic. Experimental results on an online news collection show that the proposed model can effectively identify meaningful latent topics for each emotion. Evaluation on emotion prediction further verifies the effectiveness of the proposed model.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper is concerned with the problem of social affective text mining, which aims to discover the connections between social emotions and affective terms based on user-generated emotion labels. We propose a joint emotion-topic model by augmenting latent Dirichlet allocation with an additional layer for emotion modeling. It first generates a set of latent topics from emotions, followed by generating affective terms from each topic. Experimental results on an online news collection show that the proposed model can effectively identify meaningful latent topics for each emotion. Evaluation on emotion prediction further verifies the effectiveness of the proposed model.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper is concerned with the problem of social affective text mining, which aims to discover the connections between social emotions and affective terms based on user-generated emotion labels. We propose a joint emotion-topic model by augmenting latent Dirichlet allocation with an additional layer for emotion modeling. It first generates a set of latent topics from emotions, followed by generating affective terms from each topic. Experimental results on an online news collection show that the proposed model can effectively identify meaningful latent topics for each emotion. Evaluation on emotion prediction further verifies the effectiveness of the proposed model.",
"fno": "3895a699",
"keywords": [
"Emotion Topic Model",
"Social Affective Text Mining",
"Emotion Prediction"
],
"authors": [
{
"affiliation": null,
"fullName": "Shenghua Bao",
"givenName": "Shenghua",
"surname": "Bao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Shengliang Xu",
"givenName": "Shengliang",
"surname": "Xu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Li Zhang",
"givenName": "Li",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Rong Yan",
"givenName": "Rong",
"surname": "Yan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Zhong Su",
"givenName": "Zhong",
"surname": "Su",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Dingyi Han",
"givenName": "Dingyi",
"surname": "Han",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Yong Yu",
"givenName": "Yong",
"surname": "Yu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icdm",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2009-12-01T00:00:00",
"pubType": "proceedings",
"pages": "699-704",
"year": "2009",
"issn": "1550-4786",
"isbn": "978-0-7695-3895-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3895a693",
"articleId": "12OmNqFrGLT",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3895a705",
"articleId": "12OmNx4yvBj",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icalt/2011/4346/0/4346a587",
"title": "Visualizing e-Learner Emotion, Topic, and Group Structure in Chinese Interactive Texts",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2011/4346a587/12OmNAo45Dl",
"parentPublication": {
"id": "proceedings/icalt/2011/4346/0",
"title": "Advanced Learning Technologies, IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/incos/2011/4579/0/4579a807",
"title": "Emotion Measurement in Intelligent Tutoring Systems: What, When and How to Measure",
"doi": null,
"abstractUrl": "/proceedings-article/incos/2011/4579a807/12OmNCmGNMo",
"parentPublication": {
"id": "proceedings/incos/2011/4579/0",
"title": "Intelligent Networking and Collaborative Systems, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cse/2010/4323/0/4323a295",
"title": "Emotion Sensing for Internet Chatting: A Web Mining Approach for Affective Categorization of Events",
"doi": null,
"abstractUrl": "/proceedings-article/cse/2010/4323a295/12OmNrJROVs",
"parentPublication": {
"id": "proceedings/cse/2010/4323/0",
"title": "2010 13th IEEE International Conference on Computational Science and Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acii/2017/0563/0/08273584",
"title": "Multiple users' emotion recognition: Improving performance by joint modeling of affective reactions",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2017/08273584/12OmNs0TKVi",
"parentPublication": {
"id": "proceedings/acii/2017/0563/0",
"title": "2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csse/2008/3336/1/3336a459",
"title": "The Research on User Modeling for Personalized Affective Computing",
"doi": null,
"abstractUrl": "/proceedings-article/csse/2008/3336a459/12OmNxFJXVm",
"parentPublication": {
"id": "proceedings/csse/2008/3336/1",
"title": "Computer Science and Software Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ism/2009/3890/0/3890a527",
"title": "Towards a Ground Truth for Affective Classification in Movies",
"doi": null,
"abstractUrl": "/proceedings-article/ism/2009/3890a527/12OmNyY4rpb",
"parentPublication": {
"id": "proceedings/ism/2009/3890/0",
"title": "2009 11th IEEE International Symposium on Multimedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2015/02/07029058",
"title": "Predicting Mood from Punctual Emotion Annotations on Videos",
"doi": null,
"abstractUrl": "/journal/ta/2015/02/07029058/13rRUB7a1e8",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2012/09/ttk2012091658",
"title": "Mining Social Emotions from Affective Text",
"doi": null,
"abstractUrl": "/journal/tk/2012/09/ttk2012091658/13rRUwvBy9f",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2019/9552/0/955200a151",
"title": "Context-Aware Affective Graph Reasoning for Emotion Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2019/955200a151/1cdOIiP0oMg",
"parentPublication": {
"id": "proceedings/icme/2019/9552/0",
"title": "2019 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300b151",
"title": "Zero-Shot Emotion Recognition via Affective Structural Embedding",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300b151/1hQqmiUJFJu",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKirr",
"title": "Computer Science and Software Engineering, International Conference on",
"acronym": "csse",
"groupId": "1002553",
"volume": "1",
"displayVolume": "1",
"year": "2008",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxFJXVm",
"doi": "10.1109/CSSE.2008.1056",
"title": "The Research on User Modeling for Personalized Affective Computing",
"normalizedTitle": "The Research on User Modeling for Personalized Affective Computing",
"abstract": "To improve the existing current user models, a novel based affective-based model that incorporates personality is proposed. To simulate the transitional process of emotions better, some important psychological factors are involved in this user model, such as personality influence, activation threshold, emotion elicitors, emotion decay, emotion interactions and so on. Moreover, on the basis of the model, a personalized user affective system is designed and implemented. The results show that our model complies with the nature law of human emotion and personality, and is superior to other current affective models.",
"abstracts": [
{
"abstractType": "Regular",
"content": "To improve the existing current user models, a novel based affective-based model that incorporates personality is proposed. To simulate the transitional process of emotions better, some important psychological factors are involved in this user model, such as personality influence, activation threshold, emotion elicitors, emotion decay, emotion interactions and so on. Moreover, on the basis of the model, a personalized user affective system is designed and implemented. The results show that our model complies with the nature law of human emotion and personality, and is superior to other current affective models.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "To improve the existing current user models, a novel based affective-based model that incorporates personality is proposed. To simulate the transitional process of emotions better, some important psychological factors are involved in this user model, such as personality influence, activation threshold, emotion elicitors, emotion decay, emotion interactions and so on. Moreover, on the basis of the model, a personalized user affective system is designed and implemented. The results show that our model complies with the nature law of human emotion and personality, and is superior to other current affective models.",
"fno": "3336a459",
"keywords": [
"Emotion",
"Affective Computing",
"Affective User Modeling",
"Personalized Services"
],
"authors": [
{
"affiliation": null,
"fullName": "Zhao Juanjuan",
"givenName": "Zhao",
"surname": "Juanjuan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Chen Junjie",
"givenName": "Chen",
"surname": "Junjie",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "csse",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2008-12-01T00:00:00",
"pubType": "proceedings",
"pages": "459-462",
"year": "2008",
"issn": null,
"isbn": "978-0-7695-3336-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3336a455",
"articleId": "12OmNwIpNnS",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04721787",
"articleId": "12OmNwdbV1p",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icdm/2009/3895/0/3895a699",
"title": "Joint Emotion-Topic Modeling for Social Affective Text Mining",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2009/3895a699/12OmNqBbHEo",
"parentPublication": {
"id": "proceedings/icdm/2009/3895/0",
"title": "2009 Ninth IEEE International Conference on Data Mining",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cse/2010/4323/0/4323a295",
"title": "Emotion Sensing for Internet Chatting: A Web Mining Approach for Affective Categorization of Events",
"doi": null,
"abstractUrl": "/proceedings-article/cse/2010/4323a295/12OmNrJROVs",
"parentPublication": {
"id": "proceedings/cse/2010/4323/0",
"title": "2010 13th IEEE International Conference on Computational Science and Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/segah/2014/4823/0/07067101",
"title": "Evaluation between humans and affective NPC in digital gaming scenario",
"doi": null,
"abstractUrl": "/proceedings-article/segah/2014/07067101/12OmNy50gbK",
"parentPublication": {
"id": "proceedings/segah/2014/4823/0",
"title": "2014 IEEE 3rd International Conference on Serious Games and Applications for Health (SeGAH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi-iatw/2007/3028/0/3028a087",
"title": "Affective Computation Driven Personalization Modeling in Game-Based Learning",
"doi": null,
"abstractUrl": "/proceedings-article/wi-iatw/2007/3028a087/12OmNyXMQbT",
"parentPublication": {
"id": "proceedings/wi-iatw/2007/3028/0",
"title": "Web Intelligence and Intelligent Agent Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2018/03/08345785",
"title": "A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features",
"doi": null,
"abstractUrl": "/journal/ta/2018/03/08345785/13rRUwjGoK1",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2021/04/08656550",
"title": "Adapting Software with Affective Computing: A Systematic Review",
"doi": null,
"abstractUrl": "/journal/ta/2021/04/08656550/187PPLPEZnG",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2021/02/08667687",
"title": "Applying Probabilistic Programming to Affective Computing",
"doi": null,
"abstractUrl": "/journal/ta/2021/02/08667687/18q68Vn93kk",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2022/06/10044578",
"title": "Child and Youth Affective Computing—Challenge Accepted",
"doi": null,
"abstractUrl": "/magazine/ex/2022/06/10044578/1KL757oM8x2",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2019/3485/0/348500a137",
"title": "Research on Multimodal Affective Computing Oriented to Online Collaborative Learning",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2019/348500a137/1cYi2Tpoo92",
"parentPublication": {
"id": "proceedings/icalt/2019/3485/2161-377X",
"title": "2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0/298000a066",
"title": "Personal Affective Trait Computing Using Multiple Data Sources",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2019/298000a066/1ehBAjGcrKg",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0",
"title": "2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNxX3uML",
"title": "2009 11th IEEE International Symposium on Multimedia",
"acronym": "ism",
"groupId": "1001094",
"volume": "0",
"displayVolume": "0",
"year": "2009",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyY4rpb",
"doi": "10.1109/ISM.2009.98",
"title": "Towards a Ground Truth for Affective Classification in Movies",
"normalizedTitle": "Towards a Ground Truth for Affective Classification in Movies",
"abstract": "Automatic affective movie classification can be a powerful technology that can facilitate searching, recommending and play listing of movies. In the process of developing a good classification system, the identification of suitable classes and the selection of proper training material is crucial. In this paper we describe the process of developing a reliable ground truth database that will be used for automated classification of emotions conveyed in movies. We identify a list of emotion labels that people commonly use to describe emotions in movies and employ them to annotate movie fragments. The most adequate fragments are then selected to form the final ground truth database which can later be used for affective classification in movies.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Automatic affective movie classification can be a powerful technology that can facilitate searching, recommending and play listing of movies. In the process of developing a good classification system, the identification of suitable classes and the selection of proper training material is crucial. In this paper we describe the process of developing a reliable ground truth database that will be used for automated classification of emotions conveyed in movies. We identify a list of emotion labels that people commonly use to describe emotions in movies and employ them to annotate movie fragments. The most adequate fragments are then selected to form the final ground truth database which can later be used for affective classification in movies.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Automatic affective movie classification can be a powerful technology that can facilitate searching, recommending and play listing of movies. In the process of developing a good classification system, the identification of suitable classes and the selection of proper training material is crucial. In this paper we describe the process of developing a reliable ground truth database that will be used for automated classification of emotions conveyed in movies. We identify a list of emotion labels that people commonly use to describe emotions in movies and employ them to annotate movie fragments. The most adequate fragments are then selected to form the final ground truth database which can later be used for affective classification in movies.",
"fno": "3890a527",
"keywords": [
"Affective Classification",
"Movies",
"Emotion Labels",
"Ground Truth"
],
"authors": [
{
"affiliation": null,
"fullName": "Tsvetomira Tsoneva",
"givenName": "Tsvetomira",
"surname": "Tsoneva",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Pedro Fonseca",
"givenName": "Pedro",
"surname": "Fonseca",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Janto Skowronek",
"givenName": "Janto",
"surname": "Skowronek",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ism",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2009-12-01T00:00:00",
"pubType": "proceedings",
"pages": "527-532",
"year": "2009",
"issn": null,
"isbn": "978-0-7695-3890-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3890a523",
"articleId": "12OmNwkzupA",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3890a533",
"articleId": "12OmNB1eJyA",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/avss/2017/2939/0/08078459",
"title": "Movies tags extraction using deep learning",
"doi": null,
"abstractUrl": "/proceedings-article/avss/2017/08078459/12OmNAlNiOX",
"parentPublication": {
"id": "proceedings/avss/2017/2939/0",
"title": "2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ism/2008/3454/0/3454a228",
"title": "Affective Characterization of Movie Scenes Based on Multimedia Content Analysis and User's Physiological Emotional Responses",
"doi": null,
"abstractUrl": "/proceedings-article/ism/2008/3454a228/12OmNC4wtGk",
"parentPublication": {
"id": "proceedings/ism/2008/3454/0",
"title": "2008 Tenth IEEE International Symposium on Multimedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/das/2008/3337/0/3337a111",
"title": "Automated OCR Ground Truth Generation",
"doi": null,
"abstractUrl": "/proceedings-article/das/2008/3337a111/12OmNx3ZjiK",
"parentPublication": {
"id": "proceedings/das/2008/3337/0",
"title": "2008 The Eighth IAPR International Workshop on Document Analysis Systems (DAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acii/2013/5048/0/5048a411",
"title": "Multimodal Engagement Classification for Affective Cinema",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2013/5048a411/12OmNyFU79Q",
"parentPublication": {
"id": "proceedings/acii/2013/5048/0",
"title": "2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mss/1995/7064/0/70640246",
"title": "Storage systems for movies-on-demand video servers",
"doi": null,
"abstractUrl": "/proceedings-article/mss/1995/70640246/12OmNz2C1zm",
"parentPublication": {
"id": "proceedings/mss/1995/7064/0",
"title": "Proceedings of IEEE 14th Symposium on Mass Storage Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icip/1995/7310/3/73103025",
"title": "Multiscale analysis of movies for depth recovery",
"doi": null,
"abstractUrl": "/proceedings-article/icip/1995/73103025/12OmNz6iOar",
"parentPublication": {
"id": "proceedings/icip/1995/7310/3",
"title": "Image Processing, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acii/2013/5048/0/5048a073",
"title": "Affective Benchmarking of Movies Based on the Physiological Responses of a Real Audience",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2013/5048a073/12OmNzFdt7L",
"parentPublication": {
"id": "proceedings/acii/2013/5048/0",
"title": "2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acii/2022/5908/0/09953881",
"title": "Romantic and Family Movie Database: Towards Understanding Human Emotion and Relationship via Genre-Dependent Movies",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2022/09953881/1IAK2IfytI4",
"parentPublication": {
"id": "proceedings/acii/2022/5908/0",
"title": "2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2023/9346/0/934600c082",
"title": "MovieCLIP: Visual Scene Recognition in Movies",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2023/934600c082/1KxUlSCxYdi",
"parentPublication": {
"id": "proceedings/wacv/2023/9346/0",
"title": "2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aciiw/2022/5490/0/10085992",
"title": "The Invariant Ground Truth of Affect",
"doi": null,
"abstractUrl": "/proceedings-article/aciiw/2022/10085992/1M668WLwapq",
"parentPublication": {
"id": "proceedings/aciiw/2022/5490/0",
"title": "2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzVXNJf",
"title": "2008 International Conference on Computational Intelligence for Modelling Control & Automation (CIMCA 2008)",
"acronym": "cimca",
"groupId": "1001978",
"volume": "0",
"displayVolume": "0",
"year": "2008",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyo1nMK",
"doi": "10.1109/CIMCA.2008.28",
"title": "Semantic Classifier for Affective Computing",
"normalizedTitle": "Semantic Classifier for Affective Computing",
"abstract": "One of the most important fields of affective computing is related to the hard problem of emotion recognition. At present, there are several approaches to the problem of automatic emotion recognition based on different methods, like Bayesian classifiers, Support Vector Machines, Linear Discriminant Analysis, Neural Networks or k-Nearest Neighbors, which classify emotions using several features obtained from facial expressions, body gestures, speech or different physiological signals. In this paper, we propose a Semantic Classifier as a new, simple and efficient approach to the problem of automatic emotion recognition. The implementation of the Semantic Classifier is based on the basic, natural principles used to decrease the complexity of problems found in n-dimensional spaces: discretization, structure identification and semantic optimization. The proposed classifier exhibits some self-organizing features and supports learning by repetition, generalization and specialization. It will be used to implement a distributed and robust system for emotion recognition.",
"abstracts": [
{
"abstractType": "Regular",
"content": "One of the most important fields of affective computing is related to the hard problem of emotion recognition. At present, there are several approaches to the problem of automatic emotion recognition based on different methods, like Bayesian classifiers, Support Vector Machines, Linear Discriminant Analysis, Neural Networks or k-Nearest Neighbors, which classify emotions using several features obtained from facial expressions, body gestures, speech or different physiological signals. In this paper, we propose a Semantic Classifier as a new, simple and efficient approach to the problem of automatic emotion recognition. The implementation of the Semantic Classifier is based on the basic, natural principles used to decrease the complexity of problems found in n-dimensional spaces: discretization, structure identification and semantic optimization. The proposed classifier exhibits some self-organizing features and supports learning by repetition, generalization and specialization. It will be used to implement a distributed and robust system for emotion recognition.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "One of the most important fields of affective computing is related to the hard problem of emotion recognition. At present, there are several approaches to the problem of automatic emotion recognition based on different methods, like Bayesian classifiers, Support Vector Machines, Linear Discriminant Analysis, Neural Networks or k-Nearest Neighbors, which classify emotions using several features obtained from facial expressions, body gestures, speech or different physiological signals. In this paper, we propose a Semantic Classifier as a new, simple and efficient approach to the problem of automatic emotion recognition. The implementation of the Semantic Classifier is based on the basic, natural principles used to decrease the complexity of problems found in n-dimensional spaces: discretization, structure identification and semantic optimization. The proposed classifier exhibits some self-organizing features and supports learning by repetition, generalization and specialization. It will be used to implement a distributed and robust system for emotion recognition.",
"fno": "3514a849",
"keywords": [
"Classifiers",
"Affective Computing",
"Machine Learning",
"Knowledge Representation",
"Semantics"
],
"authors": [
{
"affiliation": null,
"fullName": "Mladen Stanojevic",
"givenName": "Mladen",
"surname": "Stanojevic",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Sanja Vranes",
"givenName": "Sanja",
"surname": "Vranes",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cimca",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2008-12-01T00:00:00",
"pubType": "proceedings",
"pages": "849-854",
"year": "2008",
"issn": null,
"isbn": "978-0-7695-3514-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3514a844",
"articleId": "12OmNxEjY8G",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3514a855",
"articleId": "12OmNxXl5GY",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/acii/2015/9953/0/07344613",
"title": "Emotion recognition of affective speech based on multiple classifiers using acoustic-prosodic information and semantic labels (Extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2015/07344613/12OmNCdBDYb",
"parentPublication": {
"id": "proceedings/acii/2015/9953/0",
"title": "2015 International Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csse/2008/3336/1/3336a459",
"title": "The Research on User Modeling for Personalized Affective Computing",
"doi": null,
"abstractUrl": "/proceedings-article/csse/2008/3336a459/12OmNxFJXVm",
"parentPublication": {
"id": "proceedings/csse/2008/3336/1",
"title": "Computer Science and Software Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aciiw/2017/0680/0/08272589",
"title": "VoicePlay — An affective sports game operated by speech emotion recognition based on the component process model",
"doi": null,
"abstractUrl": "/proceedings-article/aciiw/2017/08272589/12OmNy7yEl9",
"parentPublication": {
"id": "proceedings/aciiw/2017/0680/0",
"title": "2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2011/01/tta2011010010",
"title": "Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic Labels",
"doi": null,
"abstractUrl": "/journal/ta/2011/01/tta2011010010/13rRUxcsYK7",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2016/02/mex2016020102",
"title": "Affective Computing and Sentiment Analysis",
"doi": null,
"abstractUrl": "/magazine/ex/2016/02/mex2016020102/13rRUzpQPQ4",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2021/04/08656550",
"title": "Adapting Software with Affective Computing: A Systematic Review",
"doi": null,
"abstractUrl": "/journal/ta/2021/04/08656550/187PPLPEZnG",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2022/06/10044578",
"title": "Child and Youth Affective Computing—Challenge Accepted",
"doi": null,
"abstractUrl": "/magazine/ex/2022/06/10044578/1KL757oM8x2",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300b151",
"title": "Zero-Shot Emotion Recognition via Affective Structural Embedding",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300b151/1hQqmiUJFJu",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2022/10/09472932",
"title": "Affective Image Content Analysis: Two Decades Review and New Perspectives",
"doi": null,
"abstractUrl": "/journal/tp/2022/10/09472932/1uUtvpP3SsE",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccnea/2021/4486/0/448600a046",
"title": "Research on Affective Computing Based on Self-Awareness",
"doi": null,
"abstractUrl": "/proceedings-article/iccnea/2021/448600a046/1yEZq7jjIYg",
"parentPublication": {
"id": "proceedings/iccnea/2021/4486/0",
"title": "2021 International Conference on Computer Network, Electronic and Automation (ICCNEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1IAJTVSBMEU",
"title": "2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)",
"acronym": "acii",
"groupId": "9953736",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1IAK5ikKDPW",
"doi": "10.1109/ACII55700.2022.9953864",
"title": "Interpretable Explainability in Facial Emotion Recognition and Gamification for Data Collection",
"normalizedTitle": "Interpretable Explainability in Facial Emotion Recognition and Gamification for Data Collection",
"abstract": "Training facial emotion recognition models requires large sets of data and costly annotation processes. To alleviate this problem, we developed a gamified method of acquiring annotated facial emotion data without an explicit labeling effort by humans. The game, which we named Facegame, challenges the players to imitate a displayed image of a face that portrays a particular basic emotion. Every round played by the player creates new data that consists of a set of facial features and landmarks, already annotated with the emotion label of the target facial expression. Such an approach effectively creates a robust, sustainable, and continuous machine learning training process. We evaluated Facegame with an experiment that revealed several contributions to the field of affective computing. First, the gamified data collection approach allowed us to access a rich variation of facial expressions of each basic emotion due to the natural variations in the players' facial expressions and their expressive abilities. We report improved accuracy when the collected data were used to enrich well-known in-the-wild facial emotion datasets and consecutively used for training facial emotion recognition models. Second, the natural language prescription method used by the Facegame constitutes a novel approach for interpretable explainability that can be applied to any facial emotion recog-nition model. Finally, we observed significant improvements in the facial emotion perception and expression skills of the players through repeated game play.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Training facial emotion recognition models requires large sets of data and costly annotation processes. To alleviate this problem, we developed a gamified method of acquiring annotated facial emotion data without an explicit labeling effort by humans. The game, which we named Facegame, challenges the players to imitate a displayed image of a face that portrays a particular basic emotion. Every round played by the player creates new data that consists of a set of facial features and landmarks, already annotated with the emotion label of the target facial expression. Such an approach effectively creates a robust, sustainable, and continuous machine learning training process. We evaluated Facegame with an experiment that revealed several contributions to the field of affective computing. First, the gamified data collection approach allowed us to access a rich variation of facial expressions of each basic emotion due to the natural variations in the players' facial expressions and their expressive abilities. We report improved accuracy when the collected data were used to enrich well-known in-the-wild facial emotion datasets and consecutively used for training facial emotion recognition models. Second, the natural language prescription method used by the Facegame constitutes a novel approach for interpretable explainability that can be applied to any facial emotion recog-nition model. Finally, we observed significant improvements in the facial emotion perception and expression skills of the players through repeated game play.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Training facial emotion recognition models requires large sets of data and costly annotation processes. To alleviate this problem, we developed a gamified method of acquiring annotated facial emotion data without an explicit labeling effort by humans. The game, which we named Facegame, challenges the players to imitate a displayed image of a face that portrays a particular basic emotion. Every round played by the player creates new data that consists of a set of facial features and landmarks, already annotated with the emotion label of the target facial expression. Such an approach effectively creates a robust, sustainable, and continuous machine learning training process. We evaluated Facegame with an experiment that revealed several contributions to the field of affective computing. First, the gamified data collection approach allowed us to access a rich variation of facial expressions of each basic emotion due to the natural variations in the players' facial expressions and their expressive abilities. We report improved accuracy when the collected data were used to enrich well-known in-the-wild facial emotion datasets and consecutively used for training facial emotion recognition models. Second, the natural language prescription method used by the Facegame constitutes a novel approach for interpretable explainability that can be applied to any facial emotion recog-nition model. Finally, we observed significant improvements in the facial emotion perception and expression skills of the players through repeated game play.",
"fno": "09953864",
"keywords": [
"Computer Games",
"Emotion Recognition",
"Face Recognition",
"Learning Artificial Intelligence",
"Costly Annotation Processes",
"Emotion Label",
"Expression Skills",
"Facegame",
"Facial Emotion Data",
"Facial Emotion Perception",
"Facial Emotion Recog Nition Model",
"Facial Expressions",
"Facial Features",
"Gamified Data Collection Approach",
"In The Wild Facial Emotion Datasets",
"Interpretable Explainability",
"Particular Basic Emotion",
"Players",
"Target Facial Expression",
"Training Facial Emotion Recognition Models",
"Training Process",
"Training",
"Emotion Recognition",
"Affective Computing",
"Face Recognition",
"Natural Languages",
"Machine Learning",
"Games",
"Affective Computing",
"Facial Emotion Recognition",
"Gamification",
"Explainable AI",
"Interpretable Machine Learning"
],
"authors": [
{
"affiliation": "Open University of the Netherlands,Educational Sciences,Heerlen,The Netherlands",
"fullName": "Krist Shingjergji",
"givenName": "Krist",
"surname": "Shingjergji",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Center for Actionable Research, Open University of the Netherlands,Heerlen,The Netherlands",
"fullName": "Deniz Iren",
"givenName": "Deniz",
"surname": "Iren",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Center for Actionable Research, Open University of the Netherlands,Heerlen,The Netherlands",
"fullName": "Felix Böttger",
"givenName": "Felix",
"surname": "Böttger",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Open University of the Netherlands,Educational Sciences,Heerlen,The Netherlands",
"fullName": "Corrie Urlings",
"givenName": "Corrie",
"surname": "Urlings",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Open University of the Netherlands,Educational Sciences,Heerlen,The Netherlands",
"fullName": "Roland Klemke",
"givenName": "Roland",
"surname": "Klemke",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "acii",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-10-01T00:00:00",
"pubType": "proceedings",
"pages": "1-8",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-5908-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1IAK5ePjUcw",
"name": "pacii202259080-09953864s1-lt4_paper_87.zip",
"size": "2.74 MB",
"location": "https://www.computer.org/csdl/api/v1/extra/pacii202259080-09953864s1-lt4_paper_87.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "09953863",
"articleId": "1IAJVVq5KxO",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09953878",
"articleId": "1IAK36bfMBi",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/vs-games/2013/0965/0/06624228",
"title": "Engaging Engineering Students with Gamification",
"doi": null,
"abstractUrl": "/proceedings-article/vs-games/2013/06624228/12OmNAOsMNI",
"parentPublication": {
"id": "proceedings/vs-games/2013/0965/0",
"title": "2013 5th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/incos/2011/4579/0/4579a068",
"title": "Endowing e-Learning Systems with Emotion Awareness",
"doi": null,
"abstractUrl": "/proceedings-article/incos/2011/4579a068/12OmNzUPpdY",
"parentPublication": {
"id": "proceedings/incos/2011/4579/0",
"title": "Intelligent Networking and Collaborative Systems, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2017/01/07374697",
"title": "MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception",
"doi": null,
"abstractUrl": "/journal/ta/2017/01/07374697/13rRUxlgy25",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2012/01/tta2012010032",
"title": "The Belfast Induced Natural Emotion Database",
"doi": null,
"abstractUrl": "/journal/ta/2012/01/tta2012010032/13rRUxly9cf",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2022/8739/0/873900c400",
"title": "Bridging the Gap Between Automated and Human Facial Emotion Perception",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2022/873900c400/1G56UGqY4Tu",
"parentPublication": {
"id": "proceedings/cvprw/2022/8739/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2019/9552/0/955200a151",
"title": "Context-Aware Affective Graph Reasoning for Emotion Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2019/955200a151/1cdOIiP0oMg",
"parentPublication": {
"id": "proceedings/icme/2019/9552/0",
"title": "2019 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aciiw/2019/3891/0/08925059",
"title": "Emotion Recognition in Dementia: Advancing technology for multimodal analysis of emotion expression in everyday life",
"doi": null,
"abstractUrl": "/proceedings-article/aciiw/2019/08925059/1fHFbXmQJQk",
"parentPublication": {
"id": "proceedings/aciiw/2019/3891/0",
"title": "2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2021/0477/0/047700a021",
"title": "Facial Emotion Recognition with Noisy Multi-task Annotations",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2021/047700a021/1uqGBYzwQKs",
"parentPublication": {
"id": "proceedings/wacv/2021/0477/0",
"title": "2021 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cw/2021/4065/0/406500a213",
"title": "Emotion Recognition on Extracted EEG Fragment Based on Self-reporting Result",
"doi": null,
"abstractUrl": "/proceedings-article/cw/2021/406500a213/1yBF7h65hTi",
"parentPublication": {
"id": "proceedings/cw/2021/4065/0",
"title": "2021 International Conference on Cyberworlds (CW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2022/04/09609663",
"title": "Investigating Emotion Style in Human Faces Using Clustering Methods",
"doi": null,
"abstractUrl": "/magazine/cg/2022/04/09609663/1yoxNf9lgJi",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1M661e6I5ig",
"title": "2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)",
"acronym": "aciiw",
"groupId": "10085961",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1M669OPOQzm",
"doi": "10.1109/ACIIW57231.2022.10085993",
"title": "Context-Dependent Deep Learning for Affective Computing",
"normalizedTitle": "Context-Dependent Deep Learning for Affective Computing",
"abstract": "Deep-learning models have been widely employed for recognizing emotions from various modalities. Yet these models face a number of challenges such as generalizing to different test conditions and predicting fine-grained emotions to name a few. One possible way to tackle these challenges is to provide these deep-learning models with additional context which can be in the form of domain knowledge from external knowledge sources or inherent task properties in the form of task-specific auxiliary losses. We hypothesize that incorporating context can better guide deep-learning models to look at the right features. In this extended abstract, we specifically focus on the problem of fine-grained emotion recognition using text-based data. We explore how to augment state-of-the-art NLP models with context to improve their performance in detecting fine-grained classes. We also discuss the implications of our research and future directions.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Deep-learning models have been widely employed for recognizing emotions from various modalities. Yet these models face a number of challenges such as generalizing to different test conditions and predicting fine-grained emotions to name a few. One possible way to tackle these challenges is to provide these deep-learning models with additional context which can be in the form of domain knowledge from external knowledge sources or inherent task properties in the form of task-specific auxiliary losses. We hypothesize that incorporating context can better guide deep-learning models to look at the right features. In this extended abstract, we specifically focus on the problem of fine-grained emotion recognition using text-based data. We explore how to augment state-of-the-art NLP models with context to improve their performance in detecting fine-grained classes. We also discuss the implications of our research and future directions.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Deep-learning models have been widely employed for recognizing emotions from various modalities. Yet these models face a number of challenges such as generalizing to different test conditions and predicting fine-grained emotions to name a few. One possible way to tackle these challenges is to provide these deep-learning models with additional context which can be in the form of domain knowledge from external knowledge sources or inherent task properties in the form of task-specific auxiliary losses. We hypothesize that incorporating context can better guide deep-learning models to look at the right features. In this extended abstract, we specifically focus on the problem of fine-grained emotion recognition using text-based data. We explore how to augment state-of-the-art NLP models with context to improve their performance in detecting fine-grained classes. We also discuss the implications of our research and future directions.",
"fno": "10085993",
"keywords": [
"Deep Learning Artificial Intelligence",
"Emotion Recognition",
"Learning Artificial Intelligence",
"Natural Language Processing",
"Additional Context",
"Context Dependent Deep Learning",
"Deep Learning Models",
"Different Test Conditions",
"Fine Grained Emotion Recognition",
"Predicting Fine Grained Emotions",
"State Of The Art NLP Models",
"Task Specific Auxiliary Losses",
"Deep Learning",
"Emotion Recognition",
"Affective Computing",
"Computational Modeling",
"Face Recognition",
"Conferences",
"Predictive Models",
"Deep Learning",
"Context Dependent Models",
"Fine Grained Classification",
"Emotion Recognition"
],
"authors": [
{
"affiliation": "National University of Singapore,Department of Computer Science,Singapore",
"fullName": "Varsha Suresh",
"givenName": "Varsha",
"surname": "Suresh",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "aciiw",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-10-01T00:00:00",
"pubType": "proceedings",
"pages": "1-5",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-5490-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "10086015",
"articleId": "1M66aBzqQc8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "10085994",
"articleId": "1M661GHWeRi",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/csse/2008/3336/1/3336a459",
"title": "The Research on User Modeling for Personalized Affective Computing",
"doi": null,
"abstractUrl": "/proceedings-article/csse/2008/3336a459/12OmNxFJXVm",
"parentPublication": {
"id": "proceedings/csse/2008/3336/1",
"title": "Computer Science and Software Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2021/03/08580380",
"title": "A Mathematical Description of Emotional Processes and Its Potential Applications to Affective Computing",
"doi": null,
"abstractUrl": "/journal/ta/2021/03/08580380/17D45Wuc3bn",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2021/02/08667687",
"title": "Applying Probabilistic Programming to Affective Computing",
"doi": null,
"abstractUrl": "/journal/ta/2021/02/08667687/18q68Vn93kk",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aciiw/2021/0021/0/09666396",
"title": "Using Multimodal Transformers in Affective Computing",
"doi": null,
"abstractUrl": "/proceedings-article/aciiw/2021/09666396/1A3hNjG3SSI",
"parentPublication": {
"id": "proceedings/aciiw/2021/0021/0",
"title": "2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aipr/2021/2471/0/09762207",
"title": "Emotion Recognition Using Deep Learning",
"doi": null,
"abstractUrl": "/proceedings-article/aipr/2021/09762207/1CT99fsRrj2",
"parentPublication": {
"id": "proceedings/aipr/2021/2471/0",
"title": "2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bcd/2022/6582/0/09900683",
"title": "Problems and Issues of Emotional Computing and Artificial Emotional Intelligence: A Review of Rosalind W. Picard’s thesis “Affective Computing: Challenges”",
"doi": null,
"abstractUrl": "/proceedings-article/bcd/2022/09900683/1H44ftcKcXm",
"parentPublication": {
"id": "proceedings/bcd/2022/6582/0",
"title": "2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ai/5555/01/10026344",
"title": "Fine-grained Early Frequency Attention for Deep Speaker Representation Learning",
"doi": null,
"abstractUrl": "/journal/ai/5555/01/10026344/1KkXtAzMyv6",
"parentPublication": {
"id": "trans/ai",
"title": "IEEE Transactions on Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aciiw/2022/5490/0/10086015",
"title": "Continual Learning for Adaptive Affective Human-Robot Interaction",
"doi": null,
"abstractUrl": "/proceedings-article/aciiw/2022/10086015/1M66aBzqQc8",
"parentPublication": {
"id": "proceedings/aciiw/2022/5490/0",
"title": "2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acii/2021/0019/0/09597436",
"title": "Fine-Grained Emotion Prediction by Modeling Emotion Definitions",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2021/09597436/1yylbVNTWeY",
"parentPublication": {
"id": "proceedings/acii/2021/0019/0",
"title": "2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acii/2021/0019/0/09597390",
"title": "Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2021/09597390/1yylcsy14wo",
"parentPublication": {
"id": "proceedings/acii/2021/0019/0",
"title": "2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1yEZib6AzYc",
"title": "2021 International Conference on Computer Network, Electronic and Automation (ICCNEA)",
"acronym": "iccnea",
"groupId": "1823164",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1yEZq7jjIYg",
"doi": "10.1109/ICCNEA53019.2021.00021",
"title": "Research on Affective Computing Based on Self-Awareness",
"normalizedTitle": "Research on Affective Computing Based on Self-Awareness",
"abstract": "Emotion is a kind of psychological activity that accompanies human beings. Emotion plays an important role in high-level cognitive behavior, such as decision making and learning. The goal of affective computing is to give computers the ability to perceive, understand, and express emotions. With the introduction of affective computing technology, agents have the ability to simulate and humanoid emotions. Based on self-consciousness of emotion computing in intelligent model (AORBCO), analysis of the current development and problems of emotion computing, is proposed based on self-awareness of emotion computing, the basic idea of emotional calculation method is given, and the emotional knowledge base is established, using knowledge weight change and updating knowledge base Ebbinghaus's law. Finally, the emotional calculation of Ego in AORBCO model is realized.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Emotion is a kind of psychological activity that accompanies human beings. Emotion plays an important role in high-level cognitive behavior, such as decision making and learning. The goal of affective computing is to give computers the ability to perceive, understand, and express emotions. With the introduction of affective computing technology, agents have the ability to simulate and humanoid emotions. Based on self-consciousness of emotion computing in intelligent model (AORBCO), analysis of the current development and problems of emotion computing, is proposed based on self-awareness of emotion computing, the basic idea of emotional calculation method is given, and the emotional knowledge base is established, using knowledge weight change and updating knowledge base Ebbinghaus's law. Finally, the emotional calculation of Ego in AORBCO model is realized.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Emotion is a kind of psychological activity that accompanies human beings. Emotion plays an important role in high-level cognitive behavior, such as decision making and learning. The goal of affective computing is to give computers the ability to perceive, understand, and express emotions. With the introduction of affective computing technology, agents have the ability to simulate and humanoid emotions. Based on self-consciousness of emotion computing in intelligent model (AORBCO), analysis of the current development and problems of emotion computing, is proposed based on self-awareness of emotion computing, the basic idea of emotional calculation method is given, and the emotional knowledge base is established, using knowledge weight change and updating knowledge base Ebbinghaus's law. Finally, the emotional calculation of Ego in AORBCO model is realized.",
"fno": "448600a046",
"keywords": [
"Affective Computing",
"Cognition",
"Decision Making",
"Emotion Recognition",
"Knowledge Based Systems",
"Psychology",
"High Level Cognitive Behavior",
"Affective Computing",
"Humanoid Emotions",
"Emotion Computing",
"Emotional Calculation",
"Emotional Knowledge Base",
"Knowledge Weight Change",
"Self Awareness",
"Psychological Activity",
"Decision Making",
"Learning",
"Self Consciousness",
"Intelligent Model",
"AORBCO",
"Ebbinghauss Law",
"Knowledge Engineering",
"Analytical Models",
"Affective Computing",
"Computational Modeling",
"Knowledge Based Systems",
"Decision Making",
"Psychology",
"Emotion",
"Self Awareness",
"Emotional Computing"
],
"authors": [
{
"affiliation": "Xi'an Technological University,School of Computer Science and Engineering,Xi'an,China",
"fullName": "Xue Gao",
"givenName": "Xue",
"surname": "Gao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi'an Technological University,School of Computer Science and Engineering,Xi'an,China",
"fullName": "Junmin Luo",
"givenName": "Junmin",
"surname": "Luo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi'an Technological University,School of Computer Science and Engineering,Xi'an,China",
"fullName": "Wuqi Gao",
"givenName": "Wuqi",
"surname": "Gao",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccnea",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-09-01T00:00:00",
"pubType": "proceedings",
"pages": "46-50",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-4486-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "448600a041",
"articleId": "1yEZkOLbRyo",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "448600a051",
"articleId": "1yEZmefkI7e",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/acii/2017/0563/0/08273608",
"title": "The ordinal nature of emotions",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2017/08273608/12OmNAOsMHg",
"parentPublication": {
"id": "proceedings/acii/2017/0563/0",
"title": "2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csse/2008/3336/1/3336a459",
"title": "The Research on User Modeling for Personalized Affective Computing",
"doi": null,
"abstractUrl": "/proceedings-article/csse/2008/3336a459/12OmNxFJXVm",
"parentPublication": {
"id": "proceedings/csse/2008/3336/1",
"title": "Computer Science and Software Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cimca/2008/3514/0/3514a849",
"title": "Semantic Classifier for Affective Computing",
"doi": null,
"abstractUrl": "/proceedings-article/cimca/2008/3514a849/12OmNyo1nMK",
"parentPublication": {
"id": "proceedings/cimca/2008/3514/0",
"title": "2008 International Conference on Computational Intelligence for Modelling Control & Automation (CIMCA 2008)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2021/02/08667687",
"title": "Applying Probabilistic Programming to Affective Computing",
"doi": null,
"abstractUrl": "/journal/ta/2021/02/08667687/18q68Vn93kk",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/scset/2022/7876/0/787600a117",
"title": "Affective Computing on Speeches of Court Defense Lawyer",
"doi": null,
"abstractUrl": "/proceedings-article/scset/2022/787600a117/1ANLQJ8QTGU",
"parentPublication": {
"id": "proceedings/scset/2022/7876/0",
"title": "2022 International Seminar on Computer Science and Engineering Technology (SCSET)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bcd/2022/6582/0/09900683",
"title": "Problems and Issues of Emotional Computing and Artificial Emotional Intelligence: A Review of Rosalind W. Picard’s thesis “Affective Computing: Challenges”",
"doi": null,
"abstractUrl": "/proceedings-article/bcd/2022/09900683/1H44ftcKcXm",
"parentPublication": {
"id": "proceedings/bcd/2022/6582/0",
"title": "2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icebe/2022/9244/0/924400a019",
"title": "Engaging Females with a Model for Affective Storytelling",
"doi": null,
"abstractUrl": "/proceedings-article/icebe/2022/924400a019/1KzzgNq6x6U",
"parentPublication": {
"id": "proceedings/icebe/2022/9244/0",
"title": "2022 IEEE International Conference on e-Business Engineering (ICEBE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aciiw/2022/5490/0/10085996",
"title": "Interactive Machine Learning for Multimodal Affective Computing",
"doi": null,
"abstractUrl": "/proceedings-article/aciiw/2022/10085996/1M666hWOLMQ",
"parentPublication": {
"id": "proceedings/aciiw/2022/5490/0",
"title": "2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccea/2020/5904/0/09103868",
"title": "Emotion Computing Method Based On Knowledge Representation",
"doi": null,
"abstractUrl": "/proceedings-article/iccea/2020/09103868/1kesxlvYP28",
"parentPublication": {
"id": "proceedings/iccea/2020/5904/0",
"title": "2020 International Conference on Computer Engineering and Application (ICCEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/mu/2021/02/09475906",
"title": "Introduction to the Special Issue on MMAC: Multimodal Affective Computing of Large-Scale Multimedia Data",
"doi": null,
"abstractUrl": "/magazine/mu/2021/02/09475906/1v2M80hFD6E",
"parentPublication": {
"id": "mags/mu",
"title": "IEEE MultiMedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1EmrQB3cqkg",
"title": "2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)",
"acronym": "icse",
"groupId": "1000691",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1Ems0oUChe8",
"doi": "10.1145/3510003.3510123",
"title": "NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification",
"normalizedTitle": "NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification",
"abstract": "Deep neural networks (DNNs) have demonstrated their outper-formance in various domains. However, it raises a social concern whether DNNs can produce reliable and fair decisions especially when they are applied to sensitive domains involving valuable re-source allocation, such as education, loan, and employment. It is crucial to conduct fairness testing before DNNs are reliably de-ployed to such sensitive domains, i.e., generating as many instances as possible to uncover fairness violations. However, the existing testing methods are still limited from three aspects: interpretabil-ity, performance, and generalizability. To overcome the challenges, we propose NeuronFair, a new DNN fairness testing framework that differs from previous work in several key aspects: (1) inter-pretable - it quantitatively interprets DNNs' fairness violations for the biased decision; (2) effective - it uses the interpretation results to guide the generation of more diverse instances in less time; (3) generic - it can handle both structured and unstructured data. Extensive evaluations across 7 datasets and the corresponding DNNs demonstrate NeuronFair's superior performance. For instance, on structured datasets, it generates much more instances (~ ×5.84) and saves more time (with an average speedup of 534.56%) compared with the state-of-the-art methods. Besides, the instances of NeuronFair can also be leveraged to improve the fairness of the biased DNNs, which helps build more fair and trustworthy deep learning systems. The code of NeuronFair is open-sourced at https:/github.com/haibinzheng/NeuronFair.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Deep neural networks (DNNs) have demonstrated their outper-formance in various domains. However, it raises a social concern whether DNNs can produce reliable and fair decisions especially when they are applied to sensitive domains involving valuable re-source allocation, such as education, loan, and employment. It is crucial to conduct fairness testing before DNNs are reliably de-ployed to such sensitive domains, i.e., generating as many instances as possible to uncover fairness violations. However, the existing testing methods are still limited from three aspects: interpretabil-ity, performance, and generalizability. To overcome the challenges, we propose NeuronFair, a new DNN fairness testing framework that differs from previous work in several key aspects: (1) inter-pretable - it quantitatively interprets DNNs' fairness violations for the biased decision; (2) effective - it uses the interpretation results to guide the generation of more diverse instances in less time; (3) generic - it can handle both structured and unstructured data. Extensive evaluations across 7 datasets and the corresponding DNNs demonstrate NeuronFair's superior performance. For instance, on structured datasets, it generates much more instances (~ ×5.84) and saves more time (with an average speedup of 534.56%) compared with the state-of-the-art methods. Besides, the instances of NeuronFair can also be leveraged to improve the fairness of the biased DNNs, which helps build more fair and trustworthy deep learning systems. The code of NeuronFair is open-sourced at https:/github.com/haibinzheng/NeuronFair.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Deep neural networks (DNNs) have demonstrated their outper-formance in various domains. However, it raises a social concern whether DNNs can produce reliable and fair decisions especially when they are applied to sensitive domains involving valuable re-source allocation, such as education, loan, and employment. It is crucial to conduct fairness testing before DNNs are reliably de-ployed to such sensitive domains, i.e., generating as many instances as possible to uncover fairness violations. However, the existing testing methods are still limited from three aspects: interpretabil-ity, performance, and generalizability. To overcome the challenges, we propose NeuronFair, a new DNN fairness testing framework that differs from previous work in several key aspects: (1) inter-pretable - it quantitatively interprets DNNs' fairness violations for the biased decision; (2) effective - it uses the interpretation results to guide the generation of more diverse instances in less time; (3) generic - it can handle both structured and unstructured data. Extensive evaluations across 7 datasets and the corresponding DNNs demonstrate NeuronFair's superior performance. For instance, on structured datasets, it generates much more instances (~ ×5.84) and saves more time (with an average speedup of 534.56%) compared with the state-of-the-art methods. Besides, the instances of NeuronFair can also be leveraged to improve the fairness of the biased DNNs, which helps build more fair and trustworthy deep learning systems. The code of NeuronFair is open-sourced at https:/github.com/haibinzheng/NeuronFair.",
"fno": "922100b519",
"keywords": [
"Data Mining",
"Feature Extraction",
"Learning Artificial Intelligence",
"Medical Computing",
"Natural Language Processing",
"Neural Nets",
"Regression Analysis",
"Biased DN Ns",
"Fair Learning Systems",
"Trustworthy Deep Learning Systems",
"Interpretable White Box Fairness Testing",
"Biased Neuron Identification",
"Deep Neural Networks",
"Outper Formance",
"Social Concern",
"Reliable Decisions",
"Fair Decisions",
"Sensitive Domains",
"Valuable Re Source Allocation",
"Loan",
"Existing Testing Methods",
"Interpretabil Ity",
"DNN Fairness",
"DN Ns Fairness Violations",
"Biased Decision",
"Interpretation Results",
"Diverse Instances",
"Structured Data",
"Unstructured Data",
"Corresponding DN Ns",
"Neuron Fairs Superior Performance",
"Structured Datasets",
"Deep Learning",
"Neurons",
"Neural Networks",
"Employment",
"Education",
"Reliability",
"Resource Management",
"Interpretability",
"Fairness Testing",
"Discriminatory Instance",
"Deep Learning",
"Biased Neuron"
],
"authors": [
{
"affiliation": "Zhejiang University of Technology",
"fullName": "Haibin Zheng",
"givenName": "Haibin",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University",
"fullName": "Zhiqing Chen",
"givenName": "Zhiqing",
"surname": "Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University",
"fullName": "Tianyu Du",
"givenName": "Tianyu",
"surname": "Du",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University",
"fullName": "Xuhong Zhang",
"givenName": "Xuhong",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Huawei International",
"fullName": "Yao Cheng",
"givenName": "Yao",
"surname": "Cheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University",
"fullName": "Shouling Ti",
"givenName": "Shouling",
"surname": "Ti",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University",
"fullName": "Jingyi Wang",
"givenName": "Jingyi",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "National University of Defense Technology",
"fullName": "Yue Yu",
"givenName": "Yue",
"surname": "Yu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University of Technology",
"fullName": "Jinyin Chen",
"givenName": "Jinyin",
"surname": "Chen",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icse",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-05-01T00:00:00",
"pubType": "proceedings",
"pages": "1519-1531",
"year": "2022",
"issn": null,
"isbn": "978-1-4503-9221-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "922100b506",
"articleId": "1EmsdrxxS5a",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "922100b532",
"articleId": "1Ems7ss8T9S",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "mags/ex/2022/03/09760000",
"title": "Maximizing Fairness in Deep Neural Networks via Mode Connectivity",
"doi": null,
"abstractUrl": "/magazine/ex/2022/03/09760000/1CHsDXFNPby",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2022/9221/0/922100a921",
"title": "Fairneuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2022/922100a921/1EmrVbZD1NC",
"parentPublication": {
"id": "proceedings/icse/2022/9221/0",
"title": "2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2022/8739/0/873900c888",
"title": "Is Neuron Coverage Needed to Make Person Detection More Robust?",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2022/873900c888/1G56PE2yDvi",
"parentPublication": {
"id": "proceedings/cvprw/2022/8739/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600o4973",
"title": "Improving Adversarial Transferability via Neuron Attribution-based Attacks",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600o4973/1H1hUnBlWbC",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2021/04/09113719",
"title": "Fairness in Deep Learning: A Computational Perspective",
"doi": null,
"abstractUrl": "/magazine/ex/2021/04/09113719/1kxX3DBw7pC",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800n3205",
"title": "Maintaining Discrimination and Fairness in Class Incremental Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800n3205/1m3nyY0cgM0",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2020/7121/0/712100a949",
"title": "White-box Fairness Testing through Adversarial Sampling",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2020/712100a949/1pK5ic5lre8",
"parentPublication": {
"id": "proceedings/icse/2020/7121/0",
"title": "2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/2022/09/09506918",
"title": "Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling",
"doi": null,
"abstractUrl": "/journal/ts/2022/09/09506918/1vNfNfFzH8c",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ai/2022/03/09645324",
"title": "FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning",
"doi": null,
"abstractUrl": "/journal/ai/2022/03/09645324/1zc6IyRAgfK",
"parentPublication": {
"id": "trans/ai",
"title": "IEEE Transactions on Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigmm/2021/3414/0/341400a017",
"title": "Accuracy and Fairness in Pupil Detection Algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/bigmm/2021/341400a017/1zpELcTTDH2",
"parentPublication": {
"id": "proceedings/bigmm/2021/3414/0",
"title": "2021 IEEE Seventh International Conference on Multimedia Big Data (BigMM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1jPb3itzOTK",
"title": "2020 3rd International Conference on Information and Computer Technologies (ICICT)",
"acronym": "icict",
"groupId": "1825584",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1jPb572WT84",
"doi": "10.1109/ICICT50521.2020.00020",
"title": "New Perspective of Interpretability of Deep Neural Networks",
"normalizedTitle": "New Perspective of Interpretability of Deep Neural Networks",
"abstract": "Deep neural networks (DNNs) are known as black-box models. In other words, it is difficult to interpret the internal state of the model. Improving the interpretability of DNNs is one of the hot research topics. However, at present, the definition of interpretability for DNNs is vague, and the question of what is a highly explanatory model is still controversial. To address this issue, we provide the definition of the human predictability of the model, as a part of the interpretability of the DNNs. The human predictability proposed in this paper is defined by easiness to predict the change of the inference when perturbating the model of the DNNs. In addition, we introduce one example of high human-predictable DNNs. We discuss that our definition will help to the research of the interpretability of the DNNs considering various types of applications.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Deep neural networks (DNNs) are known as black-box models. In other words, it is difficult to interpret the internal state of the model. Improving the interpretability of DNNs is one of the hot research topics. However, at present, the definition of interpretability for DNNs is vague, and the question of what is a highly explanatory model is still controversial. To address this issue, we provide the definition of the human predictability of the model, as a part of the interpretability of the DNNs. The human predictability proposed in this paper is defined by easiness to predict the change of the inference when perturbating the model of the DNNs. In addition, we introduce one example of high human-predictable DNNs. We discuss that our definition will help to the research of the interpretability of the DNNs considering various types of applications.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Deep neural networks (DNNs) are known as black-box models. In other words, it is difficult to interpret the internal state of the model. Improving the interpretability of DNNs is one of the hot research topics. However, at present, the definition of interpretability for DNNs is vague, and the question of what is a highly explanatory model is still controversial. To address this issue, we provide the definition of the human predictability of the model, as a part of the interpretability of the DNNs. The human predictability proposed in this paper is defined by easiness to predict the change of the inference when perturbating the model of the DNNs. In addition, we introduce one example of high human-predictable DNNs. We discuss that our definition will help to the research of the interpretability of the DNNs considering various types of applications.",
"fno": "728300a078",
"keywords": [
"Neural Nets",
"Deep Neural Networks",
"Black Box Models",
"Hot Research Topics",
"Human Predictable DNN",
"Predictive Models",
"Feature Extraction",
"Machine Learning",
"Fourier Series",
"Neural Networks",
"Data Models",
"Task Analysis",
"Deep Neural Networks Explainable AI Human In The Loop"
],
"authors": [
{
"affiliation": "National Institute of Advanced Industrial Science and Technology",
"fullName": "Masanari Kimura",
"givenName": "Masanari",
"surname": "Kimura",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "National Institute of Advanced Industrial Science and Technology",
"fullName": "Masayuki Tanaka",
"givenName": "Masayuki",
"surname": "Tanaka",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icict",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-03-01T00:00:00",
"pubType": "proceedings",
"pages": "78-85",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-7283-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "728300a068",
"articleId": "1jPgUIh56PC",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "728300a086",
"articleId": "1jPb7JTjaGQ",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvpr/2017/0457/0/0457a975",
"title": "Improving Interpretability of Deep Neural Networks with Semantic Information",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2017/0457a975/12OmNxwENAo",
"parentPublication": {
"id": "proceedings/cvpr/2017/0457/0",
"title": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icbk/2018/9125/0/912500a176",
"title": "Deep Embedding Logistic Regression",
"doi": null,
"abstractUrl": "/proceedings-article/icbk/2018/912500a176/17D45Xcttn4",
"parentPublication": {
"id": "proceedings/icbk/2018/9125/0",
"title": "2018 IEEE International Conference on Big Knowledge (ICBK)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2018/9288/0/928800a905",
"title": "Improving the Interpretability of Deep Neural Networks with Knowledge Distillation",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2018/928800a905/18jXzslBHig",
"parentPublication": {
"id": "proceedings/icdmw/2018/9288/0",
"title": "2018 IEEE International Conference on Data Mining Workshops (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ec/2022/01/09713986",
"title": "HMCKRAutoEncoder: An Interpretable Deep Learning Framework for Time Series Analysis",
"doi": null,
"abstractUrl": "/journal/ec/2022/01/09713986/1AZLECUeBzy",
"parentPublication": {
"id": "trans/ec",
"title": "IEEE Transactions on Emerging Topics in Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/mu/5555/01/10114634",
"title": "Interpretability of Machine Learning: Recent Advances and Future Prospects",
"doi": null,
"abstractUrl": "/magazine/mu/5555/01/10114634/1MPcjfGPFXG",
"parentPublication": {
"id": "mags/mu",
"title": "IEEE MultiMedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2019/2286/0/228600a275",
"title": "Interpretability in HealthCare A Comparative Study of Local Machine Learning Interpretability Techniques",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2019/228600a275/1cdNZ7L3f0c",
"parentPublication": {
"id": "proceedings/cbms/2019/2286/0",
"title": "2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a286",
"title": "ProtoViewer: Visual Interpretation and Diagnostics of Deep Neural Networks with Factorized Prototypes",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a286/1qROcQvKnM4",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2020/9012/0/901200a448",
"title": "Interpreting Deep Neural Networks through Prototype Factorization",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2020/901200a448/1rgGgYzL6I8",
"parentPublication": {
"id": "proceedings/icdmw/2020/9012/0",
"title": "2020 International Conference on Data Mining Workshops (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2021/4899/0/489900a029",
"title": "Reevaluating the Safety Impact of Inherent Interpretability on Deep Neural Networks for Pedestrian Detection",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2021/489900a029/1yVzXzpT2tW",
"parentPublication": {
"id": "proceedings/cvprw/2021/4899/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnp/2021/4131/0/09651937",
"title": "Generalizable and Interpretable Deep Learning for Network Congestion Prediction",
"doi": null,
"abstractUrl": "/proceedings-article/icnp/2021/09651937/1zHIHg28C7m",
"parentPublication": {
"id": "proceedings/icnp/2021/4131/0",
"title": "2021 IEEE 29th International Conference on Network Protocols (ICNP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1qmfHK8AjMQ",
"title": "2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"acronym": "bibm",
"groupId": "1001586",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1qmgdEr4z2E",
"doi": "10.1109/BIBM49941.2020.9313119",
"title": "IB-M: A Flexible Framework to Align an Interpretable Model and a Black-box Model",
"normalizedTitle": "IB-M: A Flexible Framework to Align an Interpretable Model and a Black-box Model",
"abstract": "Both interpretation and accuracy are very important for a predictive model in real applications, but most of previous works, no matter interpretable models or black-box models, cannot simultaneously achieve both of them, resulting in a tradeoff between model interpretation and model accuracy. To break this trade-off, in this paper, we propose a flexible framework, named IB-M, to align an Interpretable model and a Blackbox Model for simultaneously optimizing model interpretation and model accuracy. Generally, we think most of samples that are well-clustered or away from the true decision boundary can be easily interpreted by an interpretable model. Removing those samples can help to learn a more accurate black-box model by focusing on the left samples around the true decision boundary. Inspired by this, we propose a data re-weighting based framework to align an interpretable model and a blackbox model, letting them focus on the samples what they are good at, hence, achieving both interpretation and accuracy. We implement our IB-M framework for a real medical problem of ultrasound thyroid nodule diagnosis. Extensive experiments demonstrate that our proposed framework and algorithm can achieve a more interpretable and more accurate diagnosis than a single interpretable model and a single black-box model.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Both interpretation and accuracy are very important for a predictive model in real applications, but most of previous works, no matter interpretable models or black-box models, cannot simultaneously achieve both of them, resulting in a tradeoff between model interpretation and model accuracy. To break this trade-off, in this paper, we propose a flexible framework, named IB-M, to align an Interpretable model and a Blackbox Model for simultaneously optimizing model interpretation and model accuracy. Generally, we think most of samples that are well-clustered or away from the true decision boundary can be easily interpreted by an interpretable model. Removing those samples can help to learn a more accurate black-box model by focusing on the left samples around the true decision boundary. Inspired by this, we propose a data re-weighting based framework to align an interpretable model and a blackbox model, letting them focus on the samples what they are good at, hence, achieving both interpretation and accuracy. We implement our IB-M framework for a real medical problem of ultrasound thyroid nodule diagnosis. Extensive experiments demonstrate that our proposed framework and algorithm can achieve a more interpretable and more accurate diagnosis than a single interpretable model and a single black-box model.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Both interpretation and accuracy are very important for a predictive model in real applications, but most of previous works, no matter interpretable models or black-box models, cannot simultaneously achieve both of them, resulting in a tradeoff between model interpretation and model accuracy. To break this trade-off, in this paper, we propose a flexible framework, named IB-M, to align an Interpretable model and a Blackbox Model for simultaneously optimizing model interpretation and model accuracy. Generally, we think most of samples that are well-clustered or away from the true decision boundary can be easily interpreted by an interpretable model. Removing those samples can help to learn a more accurate black-box model by focusing on the left samples around the true decision boundary. Inspired by this, we propose a data re-weighting based framework to align an interpretable model and a blackbox model, letting them focus on the samples what they are good at, hence, achieving both interpretation and accuracy. We implement our IB-M framework for a real medical problem of ultrasound thyroid nodule diagnosis. Extensive experiments demonstrate that our proposed framework and algorithm can achieve a more interpretable and more accurate diagnosis than a single interpretable model and a single black-box model.",
"fno": "09313119",
"keywords": [
"Biomedical Ultrasonics",
"Learning Artificial Intelligence",
"Medical Image Processing",
"Optimisation",
"Flexible Framework",
"Predictive Model",
"Matter Interpretable Models",
"Model Interpretation",
"Model Accuracy",
"Blackbox Model",
"Interpretable Diagnosis",
"More Accurate Diagnosis",
"Single Interpretable Model",
"Single Black Box Model",
"Data Models",
"Predictive Models",
"Thyroid",
"Medical Diagnostic Imaging",
"Computational Modeling",
"Deep Learning",
"Ultrasonic Imaging",
"Interpretable Model",
"Black Box Model",
"Thyroid Nodules"
],
"authors": [
{
"affiliation": "Zhejiang University",
"fullName": "Mengze Li",
"givenName": "Mengze",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University",
"fullName": "Kun Kuang",
"givenName": "Kun",
"surname": "Kuang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University",
"fullName": "Qiang Zhu",
"givenName": "Qiang",
"surname": "Zhu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Capital Medical University,Beijing Tong Ren Hospital",
"fullName": "Xiaohong Chen",
"givenName": "Xiaohong",
"surname": "Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Capital Medical University,Beijing Tong Ren Hospital",
"fullName": "Qing Guo",
"givenName": "Qing",
"surname": "Guo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University",
"fullName": "Fei Wu",
"givenName": "Fei",
"surname": "Wu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "bibm",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-12-01T00:00:00",
"pubType": "proceedings",
"pages": "643-649",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-6215-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09313422",
"articleId": "1qmg5oq76dq",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09313164",
"articleId": "1qmfMVMF53q",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icdm/2016/5473/0/07837910",
"title": "Interpretable Clustering via Discriminative Rectangle Mixture Model",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2016/07837910/12OmNC1Y5pr",
"parentPublication": {
"id": "proceedings/icdm/2016/5473/0",
"title": "2016 IEEE 16th International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2018/9159/0/08594944",
"title": "Interpretable Word Embeddings for Medical Domain",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2018/08594944/17D45WZZ7FJ",
"parentPublication": {
"id": "proceedings/icdm/2018/9159/0",
"title": "2018 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2019/01/08440842",
"title": "RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records",
"doi": null,
"abstractUrl": "/journal/tg/2019/01/08440842/17D45XDIXWa",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2021/0126/0/09669648",
"title": "An Causal XAI Diagnostic Model for Breast Cancer Based on Mammography Reports",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2021/09669648/1A9VwKLLjDa",
"parentPublication": {
"id": "proceedings/bibm/2021/0126/0",
"title": "2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2023/02/09827583",
"title": "Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples",
"doi": null,
"abstractUrl": "/journal/tb/2023/02/09827583/1EWSqX96zF6",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09859856",
"title": "Towards Black-Box Adversarial Attacks on Interpretable Deep Learning Systems",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09859856/1G9DVUpE3ok",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2020/6215/0/09313202",
"title": "MSDAN: Multi-Scale Self-Attention Unsupervised Domain Adaptation Network for Thyroid Ultrasound Images",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2020/09313202/1qmg0QZ7enu",
"parentPublication": {
"id": "proceedings/bibm/2020/6215/0",
"title": "2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378081",
"title": "Interpreting and Evaluating Black Box Models in a Customizable Way",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378081/1s651P9F3KE",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ai/5555/01/09465748",
"title": "Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task",
"doi": null,
"abstractUrl": "/journal/ai/5555/01/09465748/1uIRhonPvc4",
"parentPublication": {
"id": "trans/ai",
"title": "IEEE Transactions on Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2021/4899/0/489900a056",
"title": "Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2021/489900a056/1yVA3V7eQPS",
"parentPublication": {
"id": "proceedings/cvprw/2021/4899/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1zHIDG46uNq",
"title": "2021 IEEE 29th International Conference on Network Protocols (ICNP)",
"acronym": "icnp",
"groupId": "1000492",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1zHIHg28C7m",
"doi": "10.1109/ICNP52444.2021.9651937",
"title": "Generalizable and Interpretable Deep Learning for Network Congestion Prediction",
"normalizedTitle": "Generalizable and Interpretable Deep Learning for Network Congestion Prediction",
"abstract": "While recent years have witnessed a steady trend of applying Deep Learning (DL) to networking systems, most of the underlying Deep Neural Networks (DNNs) suffer two major limitations. First, they fail to generalize to topologies unseen during training. This lack of generalizability hampers the ability of the DNNs to make good decisions every time the topology of the networking system changes. Second, existing DNNs commonly operate as \"blackboxes\" that are difficult to interpret by network operators, and hinder their deployment in practice. In this paper, we propose to rely on a recently developed family of graph-based DNNs to address the aforementioned limitations. More specifically, we focus on a network congestion prediction application and apply Graph Attention (GAT) models to make congestion predictions per link using the graph topology and time series of link loads as inputs. Evaluations on three real backbone networks demonstrate the benefits of our proposed approach in terms of prediction accuracy, generalizability, and interpretability.",
"abstracts": [
{
"abstractType": "Regular",
"content": "While recent years have witnessed a steady trend of applying Deep Learning (DL) to networking systems, most of the underlying Deep Neural Networks (DNNs) suffer two major limitations. First, they fail to generalize to topologies unseen during training. This lack of generalizability hampers the ability of the DNNs to make good decisions every time the topology of the networking system changes. Second, existing DNNs commonly operate as \"blackboxes\" that are difficult to interpret by network operators, and hinder their deployment in practice. In this paper, we propose to rely on a recently developed family of graph-based DNNs to address the aforementioned limitations. More specifically, we focus on a network congestion prediction application and apply Graph Attention (GAT) models to make congestion predictions per link using the graph topology and time series of link loads as inputs. Evaluations on three real backbone networks demonstrate the benefits of our proposed approach in terms of prediction accuracy, generalizability, and interpretability.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "While recent years have witnessed a steady trend of applying Deep Learning (DL) to networking systems, most of the underlying Deep Neural Networks (DNNs) suffer two major limitations. First, they fail to generalize to topologies unseen during training. This lack of generalizability hampers the ability of the DNNs to make good decisions every time the topology of the networking system changes. Second, existing DNNs commonly operate as \"blackboxes\" that are difficult to interpret by network operators, and hinder their deployment in practice. In this paper, we propose to rely on a recently developed family of graph-based DNNs to address the aforementioned limitations. More specifically, we focus on a network congestion prediction application and apply Graph Attention (GAT) models to make congestion predictions per link using the graph topology and time series of link loads as inputs. Evaluations on three real backbone networks demonstrate the benefits of our proposed approach in terms of prediction accuracy, generalizability, and interpretability.",
"fno": "09651937",
"keywords": [
"Deep Learning Artificial Intelligence",
"Graph Theory",
"Neural Nets",
"Telecommunication Computing",
"Telecommunication Network Topology",
"Time Series",
"GAT Models",
"Graph Based DNN",
"Prediction Accuracy",
"Backbone Networks",
"Time Series",
"Graph Topology",
"Congestion Predictions",
"Graph Attention Models",
"Network Congestion Prediction Application",
"Network Operators",
"Deep Neural Networks",
"Networking Systems",
"Deep Learning",
"Training",
"Protocols",
"Network Topology",
"Time Series Analysis",
"Predictive Models",
"Market Research",
"Deep Learning",
"Graph Attention Networks",
"Interpretability",
"Congestion Prediction"
],
"authors": [
{
"affiliation": "Yale University,Department of Electrical Engineering and Institute for Network Science,USA",
"fullName": "Konstantinos Poularakis",
"givenName": "Konstantinos",
"surname": "Poularakis",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Yale University,Department of Electrical Engineering and Institute for Network Science,USA",
"fullName": "Qiaofeng Qin",
"givenName": "Qiaofeng",
"surname": "Qin",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "IBM Research,USA",
"fullName": "Franck Le",
"givenName": "Franck",
"surname": "Le",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Naval Research Laboratory,USA",
"fullName": "Sastry Kompella",
"givenName": "Sastry",
"surname": "Kompella",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Yale University,Department of Electrical Engineering and Institute for Network Science,USA",
"fullName": "Leandros Tassiulas",
"givenName": "Leandros",
"surname": "Tassiulas",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icnp",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-11-01T00:00:00",
"pubType": "proceedings",
"pages": "1-10",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-4131-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09651930",
"articleId": "1zHIHQRJxyo",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09651985",
"articleId": "1zHIGZlMk8g",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/lcn/2015/6770/0/07366369",
"title": "Congestion modeling and management techniques for predictable disruption tolerant networks",
"doi": null,
"abstractUrl": "/proceedings-article/lcn/2015/07366369/12OmNB1NVPw",
"parentPublication": {
"id": "proceedings/lcn/2015/6770/0",
"title": "2015 IEEE 40th Conference on Local Computer Networks (LCN 2015)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2016/2020/0/07498303",
"title": "Discovering interpretable geo-social communities for user behavior prediction",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2016/07498303/12OmNvA1hnE",
"parentPublication": {
"id": "proceedings/icde/2016/2020/0",
"title": "2016 IEEE 32nd International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ispa-iucc/2017/3790/0/379001b099",
"title": "Congestion Prediction of Urban Traffic Employing SRBDP",
"doi": null,
"abstractUrl": "/proceedings-article/ispa-iucc/2017/379001b099/17D45WK5ApP",
"parentPublication": {
"id": "proceedings/ispa-iucc/2017/3790/0",
"title": "2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ec/2022/01/09713986",
"title": "HMCKRAutoEncoder: An Interpretable Deep Learning Framework for Time Series Analysis",
"doi": null,
"abstractUrl": "/journal/ec/2022/01/09713986/1AZLECUeBzy",
"parentPublication": {
"id": "trans/ec",
"title": "IEEE Transactions on Emerging Topics in Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2022/9221/0/922100b519",
"title": "NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2022/922100b519/1Ems0oUChe8",
"parentPublication": {
"id": "proceedings/icse/2022/9221/0",
"title": "2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isvlsi/2022/6605/0/660500a371",
"title": "Data Movement Reduction for DNN Accelerators: Enabling Dynamic Quantization Through an eFPGA",
"doi": null,
"abstractUrl": "/proceedings-article/isvlsi/2022/660500a371/1HzC40GiLtK",
"parentPublication": {
"id": "proceedings/isvlsi/2022/6605/0",
"title": "2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2020/11/08732351",
"title": "Visual Genealogy of Deep Neural Networks",
"doi": null,
"abstractUrl": "/journal/tg/2020/11/08732351/1aDQt8709So",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icectt/2019/0042/0/004200a105",
"title": "Urban Congestion Areas Prediction By Combining Knowledge Graph And Deep Spatio-Temporal Convolutional Neural Network",
"doi": null,
"abstractUrl": "/proceedings-article/icectt/2019/004200a105/1bolTPi6Wu4",
"parentPublication": {
"id": "proceedings/icectt/2019/0042/0",
"title": "2019 4th International Conference on Electromechanical Control Technology and Transportation (ICECTT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isvlsi/2019/3391/0/339100a553",
"title": "Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges",
"doi": null,
"abstractUrl": "/proceedings-article/isvlsi/2019/339100a553/1dUnJvlWAgM",
"parentPublication": {
"id": "proceedings/isvlsi/2019/3391/0",
"title": "2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itca/2020/0378/0/037800a069",
"title": "Research on Stock Price Prediction Method Based on Deep Learning",
"doi": null,
"abstractUrl": "/proceedings-article/itca/2020/037800a069/1tpBgZZurjW",
"parentPublication": {
"id": "proceedings/itca/2020/0378/0",
"title": "2020 2nd International Conference on Information Technology and Computer Application (ITCA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqH9hnp",
"title": "2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"acronym": "cvpr",
"groupId": "1000147",
"volume": "0",
"displayVolume": "0",
"year": "2016",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNBcAGKE",
"doi": "10.1109/CVPR.2016.14",
"title": "Multi-cue Zero-Shot Learning with Strong Supervision",
"normalizedTitle": "Multi-cue Zero-Shot Learning with Strong Supervision",
"abstract": "Scaling up visual category recognition to large numbers of classes remains challenging. A promising research direction is zero-shot learning, which does not require any training data to recognize new classes, but rather relies on some form of auxiliary information describing the new classes. Ultimately, this may allow to use textbook knowledge that humans employ to learn about new classes by transferring knowledge from classes they know well. The most successful zero-shot learning approaches currently require a particular type of auxiliary information – namely attribute annotations performed by humans – that is not readily available for most classes. Our goal is to circumvent this bottleneck by substituting such annotations by extracting multiple pieces of information from multiple unstructured text sources readily available on the web. To compensate for the weaker form of auxiliary information, we incorporate stronger supervision in the form of semantic part annotations on the classes from which we transfer knowledge. We achieve our goal by a joint embedding framework that maps multiple text parts as well as multiple semantic parts into a common space. Our results consistently and significantly improve on the state-of-the-art in zero-short recognition and retrieval.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Scaling up visual category recognition to large numbers of classes remains challenging. A promising research direction is zero-shot learning, which does not require any training data to recognize new classes, but rather relies on some form of auxiliary information describing the new classes. Ultimately, this may allow to use textbook knowledge that humans employ to learn about new classes by transferring knowledge from classes they know well. The most successful zero-shot learning approaches currently require a particular type of auxiliary information – namely attribute annotations performed by humans – that is not readily available for most classes. Our goal is to circumvent this bottleneck by substituting such annotations by extracting multiple pieces of information from multiple unstructured text sources readily available on the web. To compensate for the weaker form of auxiliary information, we incorporate stronger supervision in the form of semantic part annotations on the classes from which we transfer knowledge. We achieve our goal by a joint embedding framework that maps multiple text parts as well as multiple semantic parts into a common space. Our results consistently and significantly improve on the state-of-the-art in zero-short recognition and retrieval.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Scaling up visual category recognition to large numbers of classes remains challenging. A promising research direction is zero-shot learning, which does not require any training data to recognize new classes, but rather relies on some form of auxiliary information describing the new classes. Ultimately, this may allow to use textbook knowledge that humans employ to learn about new classes by transferring knowledge from classes they know well. The most successful zero-shot learning approaches currently require a particular type of auxiliary information – namely attribute annotations performed by humans – that is not readily available for most classes. Our goal is to circumvent this bottleneck by substituting such annotations by extracting multiple pieces of information from multiple unstructured text sources readily available on the web. To compensate for the weaker form of auxiliary information, we incorporate stronger supervision in the form of semantic part annotations on the classes from which we transfer knowledge. We achieve our goal by a joint embedding framework that maps multiple text parts as well as multiple semantic parts into a common space. Our results consistently and significantly improve on the state-of-the-art in zero-short recognition and retrieval.",
"fno": "8851a059",
"keywords": [
"Visualization",
"Semantics",
"Data Mining",
"Training",
"Encyclopedias",
"Electronic Publishing"
],
"authors": [
{
"affiliation": null,
"fullName": "Zeynep Akata",
"givenName": "Zeynep",
"surname": "Akata",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Mateusz Malinowski",
"givenName": "Mateusz",
"surname": "Malinowski",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Mario Fritz",
"givenName": "Mario",
"surname": "Fritz",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Bernt Schiele",
"givenName": "Bernt",
"surname": "Schiele",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2016-06-01T00:00:00",
"pubType": "proceedings",
"pages": "59-68",
"year": "2016",
"issn": "1063-6919",
"isbn": "978-1-4673-8851-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "8851a049",
"articleId": "12OmNzCF4Xu",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "8851a069",
"articleId": "12OmNyQYtqF",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iccv/2017/1032/0/1032b241",
"title": "Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/1032b241/12OmNBSjIWI",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2014/5118/0/5118c441",
"title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2014/5118c441/12OmNqGA50v",
"parentPublication": {
"id": "proceedings/cvpr/2014/5118/0",
"title": "2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2015/8391/0/07410840",
"title": "Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2015/07410840/12OmNrAv3Cs",
"parentPublication": {
"id": "proceedings/iccv/2015/8391/0",
"title": "2015 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsc/2016/0662/0/0662a454",
"title": "Building Context-Aware Customized Stories Based on Uncovering Indirect Associations from Semantic Knowledge Bases",
"doi": null,
"abstractUrl": "/proceedings-article/icsc/2016/0662a454/12OmNvA1hab",
"parentPublication": {
"id": "proceedings/icsc/2016/0662/0",
"title": "2016 IEEE Tenth International Conference on Semantic Computing (ICSC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2015/8391/0/07410831",
"title": "Zero-Shot Learning via Semantic Similarity Embedding",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2015/07410831/12OmNzvhvDi",
"parentPublication": {
"id": "proceedings/iccv/2015/8391/0",
"title": "2015 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2015/11/07053935",
"title": "Transductive Multi-View Zero-Shot Learning",
"doi": null,
"abstractUrl": "/journal/tp/2015/11/07053935/13rRUwbJD69",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2018/6420/0/642000b004",
"title": "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2018/642000b004/17D45VUZMYQ",
"parentPublication": {
"id": "proceedings/cvpr/2018/6420/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2023/01/09681230",
"title": "Towards Zero-Shot Sign Language Recognition",
"doi": null,
"abstractUrl": "/journal/tp/2023/01/09681230/1A8c6K0vAnm",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09860026",
"title": "Instance-Level Semantic Alignment for Zero-Shot Cross-Modal Retrieval",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09860026/1G9DvTlNqPm",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300f783",
"title": "Creativity Inspired Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300f783/1hVlAFirKeY",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNCbCrVT",
"title": "2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"acronym": "cvpr",
"groupId": "1000147",
"volume": "0",
"displayVolume": "0",
"year": "2014",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNqGA50v",
"doi": "10.1109/CVPR.2014.313",
"title": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification",
"normalizedTitle": "COSTA: Co-Occurrence Statistics for Zero-Shot Classification",
"abstract": "In this paper we aim for zero-shot classification, that is visual recognition of an unseen class by using knowledge transfer from known classes. Our main contribution is COSTA, which exploits co-occurrences of visual concepts in images for knowledge transfer. These inter-dependencies arise naturally between concepts, and are easy to obtain from existing annotations or web-search hit counts. We estimate a classifier for a new label, as a weighted combination of related classes, using the co-occurrences to define the weight. We propose various metrics to leverage these co-occurrences, and a regression model for learning a weight for each related class. We also show that our zero-shot classifiers can serve as priors for few-shot learning. Experiments on three multi-labeled datasets reveal that our proposed zero-shot methods, are approaching and occasionally outperforming fully supervised SVMs. We conclude that co-occurrence statistics suffice for zero-shot classification.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper we aim for zero-shot classification, that is visual recognition of an unseen class by using knowledge transfer from known classes. Our main contribution is COSTA, which exploits co-occurrences of visual concepts in images for knowledge transfer. These inter-dependencies arise naturally between concepts, and are easy to obtain from existing annotations or web-search hit counts. We estimate a classifier for a new label, as a weighted combination of related classes, using the co-occurrences to define the weight. We propose various metrics to leverage these co-occurrences, and a regression model for learning a weight for each related class. We also show that our zero-shot classifiers can serve as priors for few-shot learning. Experiments on three multi-labeled datasets reveal that our proposed zero-shot methods, are approaching and occasionally outperforming fully supervised SVMs. We conclude that co-occurrence statistics suffice for zero-shot classification.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper we aim for zero-shot classification, that is visual recognition of an unseen class by using knowledge transfer from known classes. Our main contribution is COSTA, which exploits co-occurrences of visual concepts in images for knowledge transfer. These inter-dependencies arise naturally between concepts, and are easy to obtain from existing annotations or web-search hit counts. We estimate a classifier for a new label, as a weighted combination of related classes, using the co-occurrences to define the weight. We propose various metrics to leverage these co-occurrences, and a regression model for learning a weight for each related class. We also show that our zero-shot classifiers can serve as priors for few-shot learning. Experiments on three multi-labeled datasets reveal that our proposed zero-shot methods, are approaching and occasionally outperforming fully supervised SVMs. We conclude that co-occurrence statistics suffice for zero-shot classification.",
"fno": "5118c441",
"keywords": [
"Visualization",
"Support Vector Machines",
"Vectors",
"Semantics",
"Training",
"Web Search",
"Labeling"
],
"authors": [
{
"affiliation": null,
"fullName": "Thomas Mensink",
"givenName": "Thomas",
"surname": "Mensink",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Efstratios Gavves",
"givenName": "Efstratios",
"surname": "Gavves",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Cees G.M. Snoek",
"givenName": "Cees G.M.",
"surname": "Snoek",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2014-06-01T00:00:00",
"pubType": "proceedings",
"pages": "2441-2448",
"year": "2014",
"issn": "1063-6919",
"isbn": "978-1-4799-5118-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "5118c433",
"articleId": "12OmNC2OSKU",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "5118c449",
"articleId": "12OmNzuIjns",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iccv/2015/8391/0/8391c731",
"title": "Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2015/8391c731/12OmNAle6Kp",
"parentPublication": {
"id": "proceedings/iccv/2015/8391/0",
"title": "2015 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2014/5118/0/5118c665",
"title": "Zero-Shot Event Detection Using Multi-modal Fusion of Weakly Supervised Concepts",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2014/5118c665/12OmNzmtWH6",
"parentPublication": {
"id": "proceedings/cvpr/2014/5118/0",
"title": "2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2015/11/07053935",
"title": "Transductive Multi-View Zero-Shot Learning",
"doi": null,
"abstractUrl": "/journal/tp/2015/11/07053935/13rRUwbJD69",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2018/6420/0/642000d598",
"title": "Zero-Shot Sketch-Image Hashing",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2018/642000d598/17D45VUZMYR",
"parentPublication": {
"id": "proceedings/cvpr/2018/6420/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09859944",
"title": "Zero-Shot Scene Graph Generation with Knowledge Graph Completion",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09859944/1G9EuqL6nzG",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2019/3293/0/329300c184",
"title": "Zero-Shot Task Transfer",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2019/329300c184/1gys9Yy6V5S",
"parentPublication": {
"id": "proceedings/cvpr/2019/3293/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300g081",
"title": "Transductive Learning for Zero-Shot Object Detection",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300g081/1hVlw1Lmb96",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2020/8014/0/801400a251",
"title": "Visually Analyzing and Steering Zero Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2020/801400a251/1qRNQGu8try",
"parentPublication": {
"id": "proceedings/vis/2020/8014/0",
"title": "2020 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552842",
"title": "Towards Visual Explainable Active Learning for Zero-Shot Classification",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552842/1xic0JWIDfy",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2021/4509/0/450900c593",
"title": "Zero-Shot Instance Segmentation",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2021/450900c593/1yeJ3lzOiD6",
"parentPublication": {
"id": "proceedings/cvpr/2021/4509/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNAXxXaK",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"acronym": "iccv",
"groupId": "1000149",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNy6qfNL",
"doi": "10.1109/ICCV.2017.453",
"title": "Learning Discriminative Latent Attributes for Zero-Shot Classification",
"normalizedTitle": "Learning Discriminative Latent Attributes for Zero-Shot Classification",
"abstract": "Zero-shot learning (ZSL) aims to transfer knowledge from observed classes to the unseen classes, based on the assumption that both the seen and unseen classes share a common semantic space, among which attributes enjoy a great popularity. However, few works study whether the human-designed semantic attributes are discriminative enough to recognize different classes. Moreover, attributes are often correlated with each other, which makes it less desirable to learn each attribute independently. In this paper, we propose to learn a latent attribute space, which is not only discriminative but also semantic-preserving, to perform the ZSL task. Specifically, a dictionary learning framework is exploited to connect the latent attribute space with attribute space and similarity space. Extensive experiments on four benchmark datasets show the effectiveness of the proposed approach.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Zero-shot learning (ZSL) aims to transfer knowledge from observed classes to the unseen classes, based on the assumption that both the seen and unseen classes share a common semantic space, among which attributes enjoy a great popularity. However, few works study whether the human-designed semantic attributes are discriminative enough to recognize different classes. Moreover, attributes are often correlated with each other, which makes it less desirable to learn each attribute independently. In this paper, we propose to learn a latent attribute space, which is not only discriminative but also semantic-preserving, to perform the ZSL task. Specifically, a dictionary learning framework is exploited to connect the latent attribute space with attribute space and similarity space. Extensive experiments on four benchmark datasets show the effectiveness of the proposed approach.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Zero-shot learning (ZSL) aims to transfer knowledge from observed classes to the unseen classes, based on the assumption that both the seen and unseen classes share a common semantic space, among which attributes enjoy a great popularity. However, few works study whether the human-designed semantic attributes are discriminative enough to recognize different classes. Moreover, attributes are often correlated with each other, which makes it less desirable to learn each attribute independently. In this paper, we propose to learn a latent attribute space, which is not only discriminative but also semantic-preserving, to perform the ZSL task. Specifically, a dictionary learning framework is exploited to connect the latent attribute space with attribute space and similarity space. Extensive experiments on four benchmark datasets show the effectiveness of the proposed approach.",
"fno": "08237715",
"keywords": [
"Image Classification",
"Image Representation",
"Learning Artificial Intelligence",
"Object Recognition",
"Dictionary Learning Framework",
"ZSL Task",
"Human Designed Semantic Attributes",
"Great Popularity",
"Common Semantic Space",
"Zero Shot Learning",
"Zero Shot Classification",
"Discriminative Latent Attributes",
"Latent Attribute Space",
"Semantics",
"Dictionaries",
"Machine Learning",
"Visualization",
"Gold",
"Correlation"
],
"authors": [
{
"affiliation": null,
"fullName": "Huajie Jiang",
"givenName": "Huajie",
"surname": "Jiang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Ruiping Wang",
"givenName": "Ruiping",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Shiguang Shan",
"givenName": "Shiguang",
"surname": "Shan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Yi Yang",
"givenName": "Yi",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Xilin Chen",
"givenName": "Xilin",
"surname": "Chen",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-10-01T00:00:00",
"pubType": "proceedings",
"pages": "4233-4242",
"year": "2017",
"issn": "2380-7504",
"isbn": "978-1-5386-1032-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08237714",
"articleId": "12OmNroij70",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08237716",
"articleId": "12OmNzsJ7um",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iccv/2017/1032/0/1032b241",
"title": "Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/1032b241/12OmNBSjIWI",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2017/4822/0/07926693",
"title": "Towards Fine-Grained Open Zero-Shot Learning: Inferring Unseen Visual Features from Attributes",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2017/07926693/12OmNx4Q6Da",
"parentPublication": {
"id": "proceedings/wacv/2017/4822/0",
"title": "2017 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2018/3788/0/08545527",
"title": "Discriminative Latent Visual Space For Zero-Shot Object Classification",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2018/08545527/17D45VtKiuu",
"parentPublication": {
"id": "proceedings/icpr/2018/3788/0",
"title": "2018 24th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2018/6420/0/642000h463",
"title": "Discriminative Learning of Latent Features for Zero-Shot Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2018/642000h463/17D45X2fUHH",
"parentPublication": {
"id": "proceedings/cvpr/2018/6420/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2022/8739/0/873900d930",
"title": "Zero-shot Learning Using Multimodal Descriptions",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2022/873900d930/1G56OtiHKUg",
"parentPublication": {
"id": "proceedings/cvprw/2022/8739/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2019/0089/0/08756548",
"title": "Database of Gesture Attributes: Zero Shot Learning for Gesture Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2019/08756548/1bzYubZfg9q",
"parentPublication": {
"id": "proceedings/fg/2019/0089/0",
"title": "2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2019/5023/0/502300c953",
"title": "Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2019/502300c953/1i5mHyVwas0",
"parentPublication": {
"id": "proceedings/iccvw/2019/5023/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2021/10/09067001",
"title": "Learning to Model Relationships for Zero-Shot Video Classification",
"doi": null,
"abstractUrl": "/journal/tp/2021/10/09067001/1j1lud81KLe",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09413287",
"title": "Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero-Shot Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09413287/1tmjvIzrsyY",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2021/4509/0/450900d793",
"title": "Goal-Oriented Gaze Estimation for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2021/450900d793/1yeLmMuPVAs",
"parentPublication": {
"id": "proceedings/cvpr/2021/4509/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKirt",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"acronym": "cvpr",
"groupId": "1000147",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45WwsQ8j",
"doi": "10.1109/CVPR.2018.00800",
"title": "Zero-Shot Kernel Learning",
"normalizedTitle": "Zero-Shot Kernel Learning",
"abstract": "In this paper, we address an open problem of zero-shot learning. Its principle is based on learning a mapping that associates feature vectors extracted from i.e. images and attribute vectors that describe objects and/or scenes of interest. In turns, this allows classifying unseen object classes and/or scenes by matching feature vectors via mapping to a newly defined attribute vector describing a new class. Due to importance of such a learning task, there exist many methods that learn semantic, probabilistic, linear or piece-wise linear mappings. In contrast, we apply well-established kernel methods to learn a non-linear mapping between the feature and attribute spaces. We propose an easy learning objective inspired by the Linear Discriminant Analysis, Kernel-Target Alignment and Kernel Polarization methods [12, 8, 4] that promotes incoherence. We evaluate the performance of our algorithm on the Polynomial as well as shift-invariant Gaussian and Cauchy kernels. Despite simplicity of our approach, we obtain state-of-the-art results on several zero-shot learning datasets and benchmarks including a recent AWA2 dataset [45].",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper, we address an open problem of zero-shot learning. Its principle is based on learning a mapping that associates feature vectors extracted from i.e. images and attribute vectors that describe objects and/or scenes of interest. In turns, this allows classifying unseen object classes and/or scenes by matching feature vectors via mapping to a newly defined attribute vector describing a new class. Due to importance of such a learning task, there exist many methods that learn semantic, probabilistic, linear or piece-wise linear mappings. In contrast, we apply well-established kernel methods to learn a non-linear mapping between the feature and attribute spaces. We propose an easy learning objective inspired by the Linear Discriminant Analysis, Kernel-Target Alignment and Kernel Polarization methods [12, 8, 4] that promotes incoherence. We evaluate the performance of our algorithm on the Polynomial as well as shift-invariant Gaussian and Cauchy kernels. Despite simplicity of our approach, we obtain state-of-the-art results on several zero-shot learning datasets and benchmarks including a recent AWA2 dataset [45].",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper, we address an open problem of zero-shot learning. Its principle is based on learning a mapping that associates feature vectors extracted from i.e. images and attribute vectors that describe objects and/or scenes of interest. In turns, this allows classifying unseen object classes and/or scenes by matching feature vectors via mapping to a newly defined attribute vector describing a new class. Due to importance of such a learning task, there exist many methods that learn semantic, probabilistic, linear or piece-wise linear mappings. In contrast, we apply well-established kernel methods to learn a non-linear mapping between the feature and attribute spaces. We propose an easy learning objective inspired by the Linear Discriminant Analysis, Kernel-Target Alignment and Kernel Polarization methods [12, 8, 4] that promotes incoherence. We evaluate the performance of our algorithm on the Polynomial as well as shift-invariant Gaussian and Cauchy kernels. Despite simplicity of our approach, we obtain state-of-the-art results on several zero-shot learning datasets and benchmarks including a recent AWA2 dataset [45].",
"fno": "642000h670",
"keywords": [
"Feature Extraction",
"Image Classification",
"Learning Artificial Intelligence",
"Zero Shot Kernel Learning",
"Open Problem",
"Feature Vectors",
"Learning Task",
"Piece Wise Linear Mappings",
"Nonlinear Mapping",
"Attribute Spaces",
"Easy Learning Objective",
"Zero Shot Learning Datasets",
"Benchmarks",
"Linear Discriminant Analysis",
"Kernel Polarization Methods",
"Kernel Target Alignment",
"Kernel",
"Task Analysis",
"Training",
"Semantics",
"Testing",
"Probabilistic Logic",
"Linear Discriminant Analysis"
],
"authors": [
{
"affiliation": null,
"fullName": "Hongguang Zhang",
"givenName": "Hongguang",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Piotr Koniusz",
"givenName": "Piotr",
"surname": "Koniusz",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-06-01T00:00:00",
"pubType": "proceedings",
"pages": "7670-7679",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-6420-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "642000h661",
"articleId": "17D45VObpN5",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "642000h680",
"articleId": "17D45VUZMVh",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/artcom/2009/3845/0/3845a194",
"title": "Isolated Word Recognition Using Low Dimensional Features and Kernel Based Classification",
"doi": null,
"abstractUrl": "/proceedings-article/artcom/2009/3845a194/12OmNAk5HPj",
"parentPublication": {
"id": "proceedings/artcom/2009/3845/0",
"title": "Advances in Recent Technologies in Communication and Computing, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2011/4296/3/4296e811",
"title": "The Fault Diagnosis Research on Nonlinear Feature Extraction with Kernel Technology",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2011/4296e811/12OmNB7tUte",
"parentPublication": {
"id": "proceedings/icmtma/2011/4296/3",
"title": "2011 Third International Conference on Measuring Technology and Mechatronics Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmla/2010/4300/0/4300a223",
"title": "Multiple Kernel Learning by Conditional Entropy Minimization",
"doi": null,
"abstractUrl": "/proceedings-article/icmla/2010/4300a223/12OmNrHSD11",
"parentPublication": {
"id": "proceedings/icmla/2010/4300/0",
"title": "Machine Learning and Applications, Fourth International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2009/3895/0/3895b064",
"title": "Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2009/3895b064/12OmNwe2IBt",
"parentPublication": {
"id": "proceedings/icdm/2009/3895/0",
"title": "2009 Ninth IEEE International Conference on Data Mining",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2001/1143/1/00937529",
"title": "Self-supervised learning for object recognition based on kernel discriminant-EM algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2001/00937529/12OmNz61dxq",
"parentPublication": {
"id": "proceedings/iccv/2001/1143/1",
"title": "Computer Vision, IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2009/4420/0/05459323",
"title": "The One-Shot similarity kernel",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2009/05459323/12OmNzGlRB7",
"parentPublication": {
"id": "proceedings/iccv/2009/4420/0",
"title": "2009 IEEE 12th International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2010/4256/0/4256a983",
"title": "Financial Forecasting with Gompertz Multiple Kernel Learning",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2010/4256a983/12OmNzdoMWL",
"parentPublication": {
"id": "proceedings/icdm/2010/4256/0",
"title": "2010 IEEE International Conference on Data Mining",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2010/06/ttk2010060906",
"title": "Kernel Discriminant Learning for Ordinal Regression",
"doi": null,
"abstractUrl": "/journal/tk/2010/06/ttk2010060906/13rRUx0xPU6",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2018/6420/0/6.42E286",
"title": "Generalized Zero-Shot Learning via Synthesized Examples",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2018/6.42E286/17D45WIXbNT",
"parentPublication": {
"id": "proceedings/cvpr/2018/6420/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2023/04/09834130",
"title": "The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis",
"doi": null,
"abstractUrl": "/journal/tp/2023/04/09834130/1Fa9Gwy91pm",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKir6",
"title": "2018 24th International Conference on Pattern Recognition (ICPR)",
"acronym": "icpr",
"groupId": "1000545",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45Xh13t4",
"doi": "10.1109/ICPR.2018.8545869",
"title": "Hard Zero Shot Learning for Gesture Recognition",
"normalizedTitle": "Hard Zero Shot Learning for Gesture Recognition",
"abstract": "Gesture based systems allow humans to interact with devices and robots in a natural way. Yet, current gesture recognition systems can not recognize the gestures outside a limited lexicon. This opposes the idea of lifelong learning which require systems to adapt to unseen object classes. These issues can be best addressed using Zero Shot Learning (ZSL), a paradigm in machine learning that leverages the semantic information to recognize new classes. ZSL systems developed in the past used hundreds of training examples to detect new classes and assumed that test examples come from unseen classes. This work introduces two complex and more realistic learning problems referred as Hard Zero Shot Learning (HZSL) and Generalized HZSL (G-HZSL) necessary to achieve Life Long Learning. The main objective of these problems is to recognize unseen classes with limited training information and relax the assumption that test instances come from unseen classes. We propose to leverage one shot learning (OSL) techniques coupled with ZSL approaches to address and solve the problem of HZSL for gesture recognition. Further, supervised clustering techniques are used to discriminate seen classes from unseen classes. We assessed and compared the performance of various existing algorithms on HZSL for gestures using two standard datasets: MSRC-12 and CGD2011. For four unseen classes, results show that the marginal accuracy of HZSL-15.2% and G-HZSL-14.39% are comparable to the performance of conventional ZSL. Given that we used only one instance and do not assume that test classes are unseen, the performance of HZSL and G-HZSL models were remarkable.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Gesture based systems allow humans to interact with devices and robots in a natural way. Yet, current gesture recognition systems can not recognize the gestures outside a limited lexicon. This opposes the idea of lifelong learning which require systems to adapt to unseen object classes. These issues can be best addressed using Zero Shot Learning (ZSL), a paradigm in machine learning that leverages the semantic information to recognize new classes. ZSL systems developed in the past used hundreds of training examples to detect new classes and assumed that test examples come from unseen classes. This work introduces two complex and more realistic learning problems referred as Hard Zero Shot Learning (HZSL) and Generalized HZSL (G-HZSL) necessary to achieve Life Long Learning. The main objective of these problems is to recognize unseen classes with limited training information and relax the assumption that test instances come from unseen classes. We propose to leverage one shot learning (OSL) techniques coupled with ZSL approaches to address and solve the problem of HZSL for gesture recognition. Further, supervised clustering techniques are used to discriminate seen classes from unseen classes. We assessed and compared the performance of various existing algorithms on HZSL for gestures using two standard datasets: MSRC-12 and CGD2011. For four unseen classes, results show that the marginal accuracy of HZSL-15.2% and G-HZSL-14.39% are comparable to the performance of conventional ZSL. Given that we used only one instance and do not assume that test classes are unseen, the performance of HZSL and G-HZSL models were remarkable.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Gesture based systems allow humans to interact with devices and robots in a natural way. Yet, current gesture recognition systems can not recognize the gestures outside a limited lexicon. This opposes the idea of lifelong learning which require systems to adapt to unseen object classes. These issues can be best addressed using Zero Shot Learning (ZSL), a paradigm in machine learning that leverages the semantic information to recognize new classes. ZSL systems developed in the past used hundreds of training examples to detect new classes and assumed that test examples come from unseen classes. This work introduces two complex and more realistic learning problems referred as Hard Zero Shot Learning (HZSL) and Generalized HZSL (G-HZSL) necessary to achieve Life Long Learning. The main objective of these problems is to recognize unseen classes with limited training information and relax the assumption that test instances come from unseen classes. We propose to leverage one shot learning (OSL) techniques coupled with ZSL approaches to address and solve the problem of HZSL for gesture recognition. Further, supervised clustering techniques are used to discriminate seen classes from unseen classes. We assessed and compared the performance of various existing algorithms on HZSL for gestures using two standard datasets: MSRC-12 and CGD2011. For four unseen classes, results show that the marginal accuracy of HZSL-15.2% and G-HZSL-14.39% are comparable to the performance of conventional ZSL. Given that we used only one instance and do not assume that test classes are unseen, the performance of HZSL and G-HZSL models were remarkable.",
"fno": "08545869",
"keywords": [
"Training",
"Semantics",
"Gesture Recognition",
"Machine Learning",
"Standards",
"Decoding",
"Visualization"
],
"authors": [
{
"affiliation": "School of Industrial Engineering, Purdue University, West Lafayette, IN, USA",
"fullName": "Naveen Madapana",
"givenName": "Naveen",
"surname": "Madapana",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Industrial Engineering, Purdue University, West Lafayette, IN, USA",
"fullName": "Juan P. Wachs",
"givenName": "Juan P.",
"surname": "Wachs",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-08-01T00:00:00",
"pubType": "proceedings",
"pages": "3574-3579",
"year": "2018",
"issn": "1051-4651",
"isbn": "978-1-5386-3788-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08545260",
"articleId": "17D45VsBU5J",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08546321",
"articleId": "17D45WaTkcg",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fg/2017/4023/0/4023a796",
"title": "A Semantical & Analytical Approach for Zero Shot Gesture Learning",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2017/4023a796/12OmNApu5Dx",
"parentPublication": {
"id": "proceedings/fg/2017/4023/0",
"title": "2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2017/1032/0/08237715",
"title": "Learning Discriminative Latent Attributes for Zero-Shot Classification",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/08237715/12OmNy6qfNL",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2017/0457/0/0457e447",
"title": "Semantic Autoencoder for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2017/0457e447/12OmNzvz6Mu",
"parentPublication": {
"id": "proceedings/cvpr/2017/0457/0",
"title": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2019/0089/0/08756548",
"title": "Database of Gesture Attributes: Zero Shot Learning for Gesture Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2019/08756548/1bzYubZfg9q",
"parentPublication": {
"id": "proceedings/fg/2019/0089/0",
"title": "2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2019/9552/0/955200b228",
"title": "Joint Projection and Subspace Learning for Zero-Shot Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2019/955200b228/1cdOImmqkk8",
"parentPublication": {
"id": "proceedings/icme/2019/9552/0",
"title": "2019 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300f783",
"title": "Creativity Inspired Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300f783/1hVlAFirKeY",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2020/3079/0/307900a309",
"title": "Feature Selection for Zero-Shot Gesture Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2020/307900a309/1kecI8r1WXC",
"parentPublication": {
"id": "proceedings/fg/2020/3079/0/",
"title": "2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) (FG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800o4032",
"title": "Episode-Based Prototype Generating Network for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800o4032/1m3na2WYTrq",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800n3297",
"title": "Generalized Zero-Shot Learning via Over-Complete Distribution",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800n3297/1m3ntdqTjji",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412548",
"title": "A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412548/1tmjABJBzJ6",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1G55WEFExd6",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"acronym": "cvprw",
"groupId": "1001809",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1G56OtiHKUg",
"doi": "10.1109/CVPRW56347.2022.00438",
"title": "Zero-shot Learning Using Multimodal Descriptions",
"normalizedTitle": "Zero-shot Learning Using Multimodal Descriptions",
"abstract": "Zero-shot learning (ZSL) tackles the problem of recognizing unseen classes using only semantic descriptions, e.g., attributes. Current zero-shot learning techniques all assume that a single vector of attributes suffices to describe each category. We show that this assumption is incorrect. Many classes in real world problems have multiple modes of appearance: male and female birds vary in appearance, for instance. Domain experts know this and can provide attribute descriptions of the chief modes of appearance for each class. Motivated by this, we propose the task of multimodal zero-shot learning, where the learner must learn from these multimodal attribute descriptions. We present a technique for addressing this problem of multimodal ZSL that outperforms the unimodal counterpart significantly. We posit that multimodal ZSL is more practical for real-world problems where complex intra-class variation is common.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Zero-shot learning (ZSL) tackles the problem of recognizing unseen classes using only semantic descriptions, e.g., attributes. Current zero-shot learning techniques all assume that a single vector of attributes suffices to describe each category. We show that this assumption is incorrect. Many classes in real world problems have multiple modes of appearance: male and female birds vary in appearance, for instance. Domain experts know this and can provide attribute descriptions of the chief modes of appearance for each class. Motivated by this, we propose the task of multimodal zero-shot learning, where the learner must learn from these multimodal attribute descriptions. We present a technique for addressing this problem of multimodal ZSL that outperforms the unimodal counterpart significantly. We posit that multimodal ZSL is more practical for real-world problems where complex intra-class variation is common.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Zero-shot learning (ZSL) tackles the problem of recognizing unseen classes using only semantic descriptions, e.g., attributes. Current zero-shot learning techniques all assume that a single vector of attributes suffices to describe each category. We show that this assumption is incorrect. Many classes in real world problems have multiple modes of appearance: male and female birds vary in appearance, for instance. Domain experts know this and can provide attribute descriptions of the chief modes of appearance for each class. Motivated by this, we propose the task of multimodal zero-shot learning, where the learner must learn from these multimodal attribute descriptions. We present a technique for addressing this problem of multimodal ZSL that outperforms the unimodal counterpart significantly. We posit that multimodal ZSL is more practical for real-world problems where complex intra-class variation is common.",
"fno": "873900d930",
"keywords": [
"Learning Artificial Intelligence",
"Object Recognition",
"Attributes Suffices",
"Multimodal Attribute Descriptions",
"Multimodal ZSL",
"Unseen Class Recognition",
"Semantic Description",
"Male Birds",
"Female Birds",
"Multimodal Zero Shot Learning",
"Complex Intraclass Variation",
"Computer Vision",
"Conferences",
"Computational Modeling",
"Semantics",
"Manuals",
"Benchmark Testing",
"Birds"
],
"authors": [
{
"affiliation": "Cornell University",
"fullName": "Utkarsh Mall",
"givenName": "Utkarsh",
"surname": "Mall",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Cornell University",
"fullName": "Bharath Hariharan",
"givenName": "Bharath",
"surname": "Hariharan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Cornell University",
"fullName": "Kavita Bala",
"givenName": "Kavita",
"surname": "Bala",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvprw",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-06-01T00:00:00",
"pubType": "proceedings",
"pages": "3930-3938",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-8739-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1G56OpTeB0c",
"name": "pcvprw202287390-09857449s1-mm_873900d930.zip",
"size": "2.89 MB",
"location": "https://www.computer.org/csdl/api/v1/extra/pcvprw202287390-09857449s1-mm_873900d930.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "873900d920",
"articleId": "1G56Qd2TC2A",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "873900d939",
"articleId": "1G56bgQDiwM",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iccv/2017/1032/0/1032b241",
"title": "Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/1032b241/12OmNBSjIWI",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2015/8391/0/8391c452",
"title": "Unsupervised Domain Adaptation for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2015/8391c452/12OmNzvhvw6",
"parentPublication": {
"id": "proceedings/iccv/2015/8391/0",
"title": "2015 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200i711",
"title": "Discriminative Region-based Multi-Label Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200i711/1BmJYmLZlss",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600j306",
"title": "VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600j306/1H1j2mN3nuE",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300f783",
"title": "Creativity Inspired Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300f783/1hVlAFirKeY",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300d582",
"title": "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300d582/1hVlvbo5572",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2019/5023/0/502300b298",
"title": "Enhancing Visual Embeddings through Weakly Supervised Captioning for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2019/502300b298/1i5mnvVunFS",
"parentPublication": {
"id": "proceedings/iccvw/2019/5023/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2020/6553/0/09093438",
"title": "Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zero-shot Classification and Retrieval of Videos",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2020/09093438/1jPbphPOm9W",
"parentPublication": {
"id": "proceedings/wacv/2020/6553/0",
"title": "2020 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2021/0191/0/019100c368",
"title": "Addressing Target Shift in Zero-shot Learning using Grouped Adversarial Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2021/019100c368/1yNhrIOeKsg",
"parentPublication": {
"id": "proceedings/iccvw/2021/0191/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3dv/2021/2688/0/268800a992",
"title": "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds",
"doi": null,
"abstractUrl": "/proceedings-article/3dv/2021/268800a992/1zWEdJlJZv2",
"parentPublication": {
"id": "proceedings/3dv/2021/2688/0",
"title": "2021 International Conference on 3D Vision (3DV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1hQqfuoOyHu",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"acronym": "iccv",
"groupId": "1000149",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1hVlAFirKeY",
"doi": "10.1109/ICCV.2019.00588",
"title": "Creativity Inspired Zero-Shot Learning",
"normalizedTitle": "Creativity Inspired Zero-Shot Learning",
"abstract": "Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of zero-shot learning, we model the visual learning process of unseen categories with an inspiration from the psychology of human creativity for producing novel art. We relate ZSL to human creativity by observing that zero-shot learning is about recognizing the unseen and creativity is about creating a likable unseen. We introduce a learning signal inspired by creativity literature that explores the unseen space with hallucinated class-descriptions and encourages careful deviation of their visual feature generations from seen classes while allowing knowledge transfer from seen to unseen classes. Empirically, we show consistent improvement over the state of the art of several percents on the largest available benchmarks on the challenging task or generalized ZSL from a noisy text that we focus on, using the CUB and NABirds datasets. We also show the advantage of our loss on Attribute-based ZSL on three additional datasets (AwA2, aPY, and SUN). Code is available at https://github.com/mhelhoseiny/CIZSL.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of zero-shot learning, we model the visual learning process of unseen categories with an inspiration from the psychology of human creativity for producing novel art. We relate ZSL to human creativity by observing that zero-shot learning is about recognizing the unseen and creativity is about creating a likable unseen. We introduce a learning signal inspired by creativity literature that explores the unseen space with hallucinated class-descriptions and encourages careful deviation of their visual feature generations from seen classes while allowing knowledge transfer from seen to unseen classes. Empirically, we show consistent improvement over the state of the art of several percents on the largest available benchmarks on the challenging task or generalized ZSL from a noisy text that we focus on, using the CUB and NABirds datasets. We also show the advantage of our loss on Attribute-based ZSL on three additional datasets (AwA2, aPY, and SUN). Code is available at https://github.com/mhelhoseiny/CIZSL.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of zero-shot learning, we model the visual learning process of unseen categories with an inspiration from the psychology of human creativity for producing novel art. We relate ZSL to human creativity by observing that zero-shot learning is about recognizing the unseen and creativity is about creating a likable unseen. We introduce a learning signal inspired by creativity literature that explores the unseen space with hallucinated class-descriptions and encourages careful deviation of their visual feature generations from seen classes while allowing knowledge transfer from seen to unseen classes. Empirically, we show consistent improvement over the state of the art of several percents on the largest available benchmarks on the challenging task or generalized ZSL from a noisy text that we focus on, using the CUB and NABirds datasets. We also show the advantage of our loss on Attribute-based ZSL on three additional datasets (AwA2, aPY, and SUN). Code is available at https://github.com/mhelhoseiny/CIZSL.",
"fno": "480300f783",
"keywords": [
"Computer Vision",
"Image Denoising",
"Image Recognition",
"Learning Artificial Intelligence",
"Psychology",
"Text Analysis",
"ZSL",
"Class Level Descriptions",
"Zero Shot Learning",
"Visual Learning Process",
"Human Creativity",
"Unseen Creativity",
"Learning Signal",
"Creativity Literature",
"CUB Dataset",
"NA Birds Dataset",
"Aw A 2 Dataset",
"A PY Dataset",
"SUN Dataset",
"Psychology",
"Knowledge Transfer",
"Creativity",
"Visualization",
"Semantics",
"Computational Modeling",
"Art",
"Encyclopedias"
],
"authors": [
{
"affiliation": "KAUST and Baidu",
"fullName": "Mohamed Elhoseiny",
"givenName": "Mohamed",
"surname": "Elhoseiny",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "CRCV",
"fullName": "Mohamed Elfeki",
"givenName": "Mohamed",
"surname": "Elfeki",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-10-01T00:00:00",
"pubType": "proceedings",
"pages": "5783-5792",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-4803-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "480300f773",
"articleId": "1hVlSoX2Qr6",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "480300f793",
"articleId": "1hQqnj2CmOY",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iccv/2017/1032/0/1032b241",
"title": "Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/1032b241/12OmNBSjIWI",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2017/1032/0/08237715",
"title": "Learning Discriminative Latent Attributes for Zero-Shot Classification",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/08237715/12OmNy6qfNL",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2017/0457/0/0457e447",
"title": "Semantic Autoencoder for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2017/0457e447/12OmNzvz6Mu",
"parentPublication": {
"id": "proceedings/cvpr/2017/0457/0",
"title": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2018/1737/0/08486473",
"title": "Semantic Manifold Alignment in Visual Feature Space for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2018/08486473/14jQfNYQ1Ox",
"parentPublication": {
"id": "proceedings/icme/2018/1737/0",
"title": "2018 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2018/3788/0/08545869",
"title": "Hard Zero Shot Learning for Gesture Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2018/08545869/17D45Xh13t4",
"parentPublication": {
"id": "proceedings/icpr/2018/3788/0",
"title": "2018 24th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2022/8739/0/873900d930",
"title": "Zero-shot Learning Using Multimodal Descriptions",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2022/873900d930/1G56OtiHKUg",
"parentPublication": {
"id": "proceedings/cvprw/2022/8739/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2019/9552/0/955200b228",
"title": "Joint Projection and Subspace Learning for Zero-Shot Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2019/955200b228/1cdOImmqkk8",
"parentPublication": {
"id": "proceedings/icme/2019/9552/0",
"title": "2019 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2019/2506/0/250600a398",
"title": "A Large-Scale Attribute Dataset for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2019/250600a398/1iTvu4MnV9C",
"parentPublication": {
"id": "proceedings/cvprw/2019/2506/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800o4032",
"title": "Episode-Based Prototype Generating Network for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800o4032/1m3na2WYTrq",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/avss/2021/3396/0/09663762",
"title": "ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices",
"doi": null,
"abstractUrl": "/proceedings-article/avss/2021/09663762/1zUZa2xnrHi",
"parentPublication": {
"id": "proceedings/avss/2021/3396/0",
"title": "2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1qRNrlo577W",
"title": "2020 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1qRNQGu8try",
"doi": "10.1109/VIS47514.2020.00057",
"title": "Visually Analyzing and Steering Zero Shot Learning",
"normalizedTitle": "Visually Analyzing and Steering Zero Shot Learning",
"abstract": "We propose a visual analytics system to help a user analyze and steer zero-shot learning models. Zero-shot learning has emerged as a viable scenario for categorizing data that consists of no labeled examples, and thus a promising approach to minimize data annotation from humans. However, it is challenging to understand where zero-shot learning fails, the cause of such failures, and how a user can modify the model to prevent such failures. Our visualization system is designed to help users diagnose and understand mispredictions in such models, so that they may gain insight on the behavior of a model when applied to data associated with categories not seen during training. Through usage scenarios, we highlight how our system can help a user improve performance in zero-shot learning.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We propose a visual analytics system to help a user analyze and steer zero-shot learning models. Zero-shot learning has emerged as a viable scenario for categorizing data that consists of no labeled examples, and thus a promising approach to minimize data annotation from humans. However, it is challenging to understand where zero-shot learning fails, the cause of such failures, and how a user can modify the model to prevent such failures. Our visualization system is designed to help users diagnose and understand mispredictions in such models, so that they may gain insight on the behavior of a model when applied to data associated with categories not seen during training. Through usage scenarios, we highlight how our system can help a user improve performance in zero-shot learning.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We propose a visual analytics system to help a user analyze and steer zero-shot learning models. Zero-shot learning has emerged as a viable scenario for categorizing data that consists of no labeled examples, and thus a promising approach to minimize data annotation from humans. However, it is challenging to understand where zero-shot learning fails, the cause of such failures, and how a user can modify the model to prevent such failures. Our visualization system is designed to help users diagnose and understand mispredictions in such models, so that they may gain insight on the behavior of a model when applied to data associated with categories not seen during training. Through usage scenarios, we highlight how our system can help a user improve performance in zero-shot learning.",
"fno": "801400a251",
"keywords": [
"Data Analysis",
"Data Visualisation",
"Learning Artificial Intelligence",
"Visualization System",
"Steering Zero Shot Learning",
"Visual Analytics",
"Data Categorization",
"Training",
"Analytical Models",
"Annotations",
"Visual Analytics",
"Conferences",
"Data Visualization",
"Data Models",
"Zero Shot Learning",
"Visualization",
"Visual Analytics",
"Model Steering"
],
"authors": [
{
"affiliation": "Vanderbilt University",
"fullName": "Saroj Sahoo",
"givenName": "Saroj",
"surname": "Sahoo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Vanderbilt University",
"fullName": "Matthew Berger",
"givenName": "Matthew",
"surname": "Berger",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-10-01T00:00:00",
"pubType": "proceedings",
"pages": "251-255",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-8014-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1qRNPt5VQxa",
"name": "pvis202080140-09331297s1-mm_801400a251.zip",
"size": "14 MB",
"location": "https://www.computer.org/csdl/api/v1/extra/pvis202080140-09331297s1-mm_801400a251.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "801400a246",
"articleId": "1qROIHocgRG",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "801400a256",
"articleId": "1qRO6NyulWg",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iccv/2015/8391/0/07410836",
"title": "Semi-Supervised Zero-Shot Classification with Label Representation Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2015/07410836/12OmNApLGBX",
"parentPublication": {
"id": "proceedings/iccv/2015/8391/0",
"title": "2015 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2017/1032/0/1032d496",
"title": "Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/1032d496/12OmNrFkeVU",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2018/4886/0/488601a766",
"title": "A Simple yet Effective Model for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2018/488601a766/12OmNwdL7qE",
"parentPublication": {
"id": "proceedings/wacv/2018/4886/0",
"title": "2018 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200j526",
"title": "Field-Guide-Inspired Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200j526/1BmFik0zNII",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600j306",
"title": "VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600j306/1H1j2mN3nuE",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2023/9346/0/934600c538",
"title": "Language-free Training for Zero-shot Video Grounding",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2023/934600c538/1KxUYAEpVg4",
"parentPublication": {
"id": "proceedings/wacv/2023/9346/0",
"title": "2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2019/3293/0/329300c184",
"title": "Zero-Shot Task Transfer",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2019/329300c184/1gys9Yy6V5S",
"parentPublication": {
"id": "proceedings/cvpr/2019/3293/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2020/6553/0/09093348",
"title": "A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2020/09093348/1jPboJkHfVK",
"parentPublication": {
"id": "proceedings/wacv/2020/6553/0",
"title": "2020 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cogmi/2020/4144/0/414400a185",
"title": "Low-shot Learning in Natural Language Processing",
"doi": null,
"abstractUrl": "/proceedings-article/cogmi/2020/414400a185/1qyxPHGaaje",
"parentPublication": {
"id": "proceedings/cogmi/2020/4144/0",
"title": "2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552842",
"title": "Towards Visual Explainable Active Learning for Zero-Shot Classification",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552842/1xic0JWIDfy",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNxFJXGd",
"title": "2017 IEEE International Conference on Multimedia and Expo (ICME)",
"acronym": "icme",
"groupId": "1000477",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyuPKYX",
"doi": "10.1109/ICME.2017.8019301",
"title": "Select-additive learning: Improving generalization in multimodal sentiment analysis",
"normalizedTitle": "Select-additive learning: Improving generalization in multimodal sentiment analysis",
"abstract": "Multimodal sentiment analysis is drawing an increasing amount of attention these days. It enables mining of opinions in video reviews which are now available aplenty on online platforms. However, multimodal sentiment analysis has only a few high-quality data sets annotated for training machine learning algorithms. These limited resources restrict the generalizability of models, where, for example, the unique characteristics of a few speakers (e.g., wearing glasses) may become a confounding factor for the sentiment classification task. In this paper, we propose a Select-Additive Learning (SAL) procedure that improves the generalizability of trained neural networks for multimodal sentiment analysis. In our experiments, we show that our SAL approach improves prediction accuracy significantly in all three modalities (verbal, acoustic, visual), as well as in their fusion. Our results show that SAL, even when trained on one dataset, achieves good generalization across two new test datasets.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Multimodal sentiment analysis is drawing an increasing amount of attention these days. It enables mining of opinions in video reviews which are now available aplenty on online platforms. However, multimodal sentiment analysis has only a few high-quality data sets annotated for training machine learning algorithms. These limited resources restrict the generalizability of models, where, for example, the unique characteristics of a few speakers (e.g., wearing glasses) may become a confounding factor for the sentiment classification task. In this paper, we propose a Select-Additive Learning (SAL) procedure that improves the generalizability of trained neural networks for multimodal sentiment analysis. In our experiments, we show that our SAL approach improves prediction accuracy significantly in all three modalities (verbal, acoustic, visual), as well as in their fusion. Our results show that SAL, even when trained on one dataset, achieves good generalization across two new test datasets.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Multimodal sentiment analysis is drawing an increasing amount of attention these days. It enables mining of opinions in video reviews which are now available aplenty on online platforms. However, multimodal sentiment analysis has only a few high-quality data sets annotated for training machine learning algorithms. These limited resources restrict the generalizability of models, where, for example, the unique characteristics of a few speakers (e.g., wearing glasses) may become a confounding factor for the sentiment classification task. In this paper, we propose a Select-Additive Learning (SAL) procedure that improves the generalizability of trained neural networks for multimodal sentiment analysis. In our experiments, we show that our SAL approach improves prediction accuracy significantly in all three modalities (verbal, acoustic, visual), as well as in their fusion. Our results show that SAL, even when trained on one dataset, achieves good generalization across two new test datasets.",
"fno": "08019301",
"keywords": [
"Sentiment Analysis",
"Visualization",
"Glass",
"Neural Networks",
"Acoustics",
"Gaussian Noise",
"Training",
"Multimodal",
"Sentiment Analysis",
"Cross Datasets",
"Generalization",
"Cross Individual"
],
"authors": [
{
"affiliation": "Language Technologies Institute, School of Computer Science, Carnegie Mellon University",
"fullName": "Haohan Wang",
"givenName": "Haohan",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Language Technologies Institute, School of Computer Science, Carnegie Mellon University",
"fullName": "Aaksha Meghawat",
"givenName": "Aaksha",
"surname": "Meghawat",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Language Technologies Institute, School of Computer Science, Carnegie Mellon University",
"fullName": "Louis-Philippe Morency",
"givenName": "Louis-Philippe",
"surname": "Morency",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Language Technologies Institute, School of Computer Science, Carnegie Mellon University",
"fullName": "Eric P. Xing",
"givenName": "Eric P.",
"surname": "Xing",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icme",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-07-01T00:00:00",
"pubType": "proceedings",
"pages": "949-954",
"year": "2017",
"issn": "1945-788X",
"isbn": "978-1-5090-6067-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08019300",
"articleId": "12OmNBRbkna",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08019302",
"articleId": "12OmNqGRG5P",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "mags/ex/2018/06/08636432",
"title": "Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines",
"doi": null,
"abstractUrl": "/magazine/ex/2018/06/08636432/17D45XeKgoe",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/09765342",
"title": "Hierarchical Interactive Multimodal Transformer for Aspect-Based Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/09765342/1CWoCgkaXUk",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09860014",
"title": "Utilizing BERT Intermediate Layers for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09860014/1G9EKqcyxmU",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09859747",
"title": "HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09859747/1G9EbGAd56w",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2022/9062/0/09956114",
"title": "IMCN: Identifying Modal Contribution Network for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2022/09956114/1IHoIacv1uM",
"parentPublication": {
"id": "proceedings/icpr/2022/9062/0",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ec/5555/01/10014688",
"title": "Affective Region Recognition and Fusion Network for Target-Level Multimodal Sentiment Classification",
"doi": null,
"abstractUrl": "/journal/ec/5555/01/10014688/1JP1By8yIP6",
"parentPublication": {
"id": "trans/ec",
"title": "IEEE Transactions on Emerging Topics in Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/10003979",
"title": "TensorFormer: A Tensor-based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/10003979/1JwLhn5bvnq",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icftic/2022/2195/0/10075170",
"title": "A multimodal sentiment analysis model based on semantic enrichment",
"doi": null,
"abstractUrl": "/proceedings-article/icftic/2022/10075170/1LRlklPXkac",
"parentPublication": {
"id": "proceedings/icftic/2022/2195/0",
"title": "2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2019/9552/0/955200a730",
"title": "Modeling the Clause-Level Structure to Multimodal Sentiment Analysis via Reinforcement Learning",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2019/955200a730/1cdORp0KBUI",
"parentPublication": {
"id": "proceedings/icme/2019/9552/0",
"title": "2019 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bcd/2019/0886/0/08885108",
"title": "Multimodal Sentiment Analysis via RNN variants",
"doi": null,
"abstractUrl": "/proceedings-article/bcd/2019/08885108/1ezS0p24e3K",
"parentPublication": {
"id": "proceedings/bcd/2019/0886/0",
"title": "2019 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1G4EUUmGcrS",
"title": "2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)",
"acronym": "icmew",
"groupId": "1801805",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1G4EX2l1hVC",
"doi": "10.1109/ICMEW56448.2022.9859289",
"title": "Demusa: Demo for Multimodal Sentiment Analysis",
"normalizedTitle": "Demusa: Demo for Multimodal Sentiment Analysis",
"abstract": "Recently, a lot of Multimodal Sentiment Analysis (MSA) models appeared to understanding opinions in multimedia. To accelerate MSA researches, CMU-MOSI and CMU-MOSEI were released as the open-datasets. However, it is hard to observe the input data elements in detail and analyze the prediction model results with each video clip for qualitative evaluation. For these reasons, this paper suggests DeMuSA, demo for multimodal sentiment analysis to explore raw data instance and compare prediction models by utterance-level.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Recently, a lot of Multimodal Sentiment Analysis (MSA) models appeared to understanding opinions in multimedia. To accelerate MSA researches, CMU-MOSI and CMU-MOSEI were released as the open-datasets. However, it is hard to observe the input data elements in detail and analyze the prediction model results with each video clip for qualitative evaluation. For these reasons, this paper suggests DeMuSA, demo for multimodal sentiment analysis to explore raw data instance and compare prediction models by utterance-level.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Recently, a lot of Multimodal Sentiment Analysis (MSA) models appeared to understanding opinions in multimedia. To accelerate MSA researches, CMU-MOSI and CMU-MOSEI were released as the open-datasets. However, it is hard to observe the input data elements in detail and analyze the prediction model results with each video clip for qualitative evaluation. For these reasons, this paper suggests DeMuSA, demo for multimodal sentiment analysis to explore raw data instance and compare prediction models by utterance-level.",
"fno": "09859289",
"keywords": [
"Behavioural Sciences Computing",
"Data Mining",
"Data Visualisation",
"Emotion Recognition",
"Natural Language Processing",
"Text Analysis",
"Video Signal Processing",
"CMU MOSEI",
"Input Data Elements",
"Prediction Model Results",
"Demusa",
"Raw Data Instance",
"Compare Prediction Models",
"Multimodal Sentiment Analysis Models",
"Understanding Opinions",
"MSA Researches",
"CMU MOSI",
"Sentiment Analysis",
"Analytical Models",
"Conferences",
"Streaming Media",
"Predictive Models",
"Data Models"
],
"authors": [
{
"affiliation": null,
"fullName": "Soyeon Hong",
"givenName": "Soyeon",
"surname": "Hong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Jeonghoon Kim",
"givenName": "Jeonghoon",
"surname": "Kim",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Donghoon Lee",
"givenName": "Donghoon",
"surname": "Lee",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Hyunsouk Cho",
"givenName": "Hyunsouk",
"surname": "Cho",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icmew",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-07-01T00:00:00",
"pubType": "proceedings",
"pages": "1-1",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-7218-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09859488",
"articleId": "1G4F4ipapJS",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09859385",
"articleId": "1G4EXGfVR28",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "trans/tk/2023/05/09723597",
"title": "Multi-Level Attention Map Network for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/journal/tk/2023/05/09723597/1BocGvqxTgc",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09860014",
"title": "Utilizing BERT Intermediate Layers for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09860014/1G9EKqcyxmU",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2022/9062/0/09956114",
"title": "IMCN: Identifying Modal Contribution Network for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2022/09956114/1IHoIacv1uM",
"parentPublication": {
"id": "proceedings/icpr/2022/9062/0",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/09950317",
"title": "Shared-Private Memory Networks for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/09950317/1IiL85ndjs4",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/10097669",
"title": "Multimodal Sentiment Analysis Based on Attentional Temporal Convolutional Network and Multi-layer Feature Fusion",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/10097669/1M9lxTB1nDa",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bcd/2019/0886/0/08885108",
"title": "Multimodal Sentiment Analysis via RNN variants",
"doi": null,
"abstractUrl": "/proceedings-article/bcd/2019/08885108/1ezS0p24e3K",
"parentPublication": {
"id": "proceedings/bcd/2019/0886/0",
"title": "2019 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2021/03/09351737",
"title": "Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/magazine/ex/2021/03/09351737/1r514cjJqAo",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2020/8316/0/831600a561",
"title": "Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2020/831600a561/1r54yZS9Hqg",
"parentPublication": {
"id": "proceedings/icdm/2020/8316/0",
"title": "2020 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi-iat/2020/1924/0/192400a267",
"title": "Multimodal Deep Learning Framework for Sentiment Analysis from Text-Image Web Data",
"doi": null,
"abstractUrl": "/proceedings-article/wi-iat/2020/192400a267/1uHhi8PCivS",
"parentPublication": {
"id": "proceedings/wi-iat/2020/1924/0",
"title": "2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552921",
"title": "M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552921/1xic8w3ygrm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1G9DtzCwrjW",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"acronym": "icme",
"groupId": "1000477",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1G9EKqcyxmU",
"doi": "10.1109/ICME52920.2022.9860014",
"title": "Utilizing BERT Intermediate Layers for Multimodal Sentiment Analysis",
"normalizedTitle": "Utilizing BERT Intermediate Layers for Multimodal Sentiment Analysis",
"abstract": "Some recent works use pre-trained BERT to extract text features instead of the GloVe embedding representation, which greatly improves multimodal sentiment analysis. However, these works ignore BERT's intermediate layers information. The layers in BERT can capture phrase-level, syntax-level, and semantic-level information, respectively. Utilizing these levels of information in the multimodal fusion stage can lead to fine-grained fusion results and promote the potential of fine-tuning BERT on multimodal data. In this paper, we fuse middle layers information of BERT with non-verbal modalities in multiple stages via our designed hierarchical fusion structure external to BERT. In addition, the crossmodal fusion process runs the risk of discarding valid information of unimodality. We suggest distilling sentiment-relevant features from the removed information and restitute it to the network to promote sentiment analysis. Evaluating our proposed model on CMU-MOSI and CMU-MOSEI datasets, we show that it outperforms existing works and successfully fine-tunes BERT on multimodal language data.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Some recent works use pre-trained BERT to extract text features instead of the GloVe embedding representation, which greatly improves multimodal sentiment analysis. However, these works ignore BERT's intermediate layers information. The layers in BERT can capture phrase-level, syntax-level, and semantic-level information, respectively. Utilizing these levels of information in the multimodal fusion stage can lead to fine-grained fusion results and promote the potential of fine-tuning BERT on multimodal data. In this paper, we fuse middle layers information of BERT with non-verbal modalities in multiple stages via our designed hierarchical fusion structure external to BERT. In addition, the crossmodal fusion process runs the risk of discarding valid information of unimodality. We suggest distilling sentiment-relevant features from the removed information and restitute it to the network to promote sentiment analysis. Evaluating our proposed model on CMU-MOSI and CMU-MOSEI datasets, we show that it outperforms existing works and successfully fine-tunes BERT on multimodal language data.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Some recent works use pre-trained BERT to extract text features instead of the GloVe embedding representation, which greatly improves multimodal sentiment analysis. However, these works ignore BERT's intermediate layers information. The layers in BERT can capture phrase-level, syntax-level, and semantic-level information, respectively. Utilizing these levels of information in the multimodal fusion stage can lead to fine-grained fusion results and promote the potential of fine-tuning BERT on multimodal data. In this paper, we fuse middle layers information of BERT with non-verbal modalities in multiple stages via our designed hierarchical fusion structure external to BERT. In addition, the crossmodal fusion process runs the risk of discarding valid information of unimodality. We suggest distilling sentiment-relevant features from the removed information and restitute it to the network to promote sentiment analysis. Evaluating our proposed model on CMU-MOSI and CMU-MOSEI datasets, we show that it outperforms existing works and successfully fine-tunes BERT on multimodal language data.",
"fno": "09860014",
"keywords": [
"Emotion Recognition",
"Feature Extraction",
"Image Fusion",
"Learning Artificial Intelligence",
"Natural Language Processing",
"Sensor Fusion",
"Text Analysis",
"Video Signal Processing",
"Syntax Level",
"Semantic Level Information",
"Multimodal Fusion Stage",
"Fine Grained Fusion Results",
"Fine Tuning BERT",
"Multimodal Data",
"Middle Layers Information",
"Designed Hierarchical Fusion Structure",
"Crossmodal Fusion Process",
"Sentiment Relevant Features",
"Removed Information",
"Fine Tunes BERT",
"Multimodal Language Data",
"Utilizing BERT Intermediate Layers",
"Multimodal Sentiment Analysis",
"Text Features",
"Glo Ve Embedding Representation",
"BER Ts Intermediate Layers Information",
"Phrase Level",
"Sentiment Analysis",
"Analytical Models",
"Fuses",
"Bit Error Rate",
"Feature Extraction",
"Data Models",
"Multimodal Sentiment Analysis",
"BERT",
"Fine Tune",
"Feature Restitution"
],
"authors": [
{
"affiliation": "School of Computer Science and Engineering, Nanjing University of Science and Technology",
"fullName": "Wenwen Zou",
"givenName": "Wenwen",
"surname": "Zou",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Computer Science and Engineering, Nanjing University of Science and Technology",
"fullName": "Jundi Ding",
"givenName": "Jundi",
"surname": "Ding",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Computer Science and Engineering, Nanjing University of Science and Technology",
"fullName": "Chao Wang",
"givenName": "Chao",
"surname": "Wang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icme",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-07-01T00:00:00",
"pubType": "proceedings",
"pages": "1-6",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-8563-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09859634",
"articleId": "1G9EBrEyQk8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09858925",
"articleId": "1G9E5a08Kze",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/mlbdbi/2021/1790/0/179000a254",
"title": "Aspect-level Sentiment Analysis based on BERT Fusion Multi-module",
"doi": null,
"abstractUrl": "/proceedings-article/mlbdbi/2021/179000a254/1BQiHhJR2xO",
"parentPublication": {
"id": "proceedings/mlbdbi/2021/1790/0",
"title": "2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09859747",
"title": "HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09859747/1G9EbGAd56w",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/09950317",
"title": "Shared-Private Memory Networks for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/09950317/1IiL85ndjs4",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0/199300a135",
"title": "Evaluating BERT on cloud-edge time series forecasting and sentiment analysis via prompt learning",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity-dependsys/2022/199300a135/1LSPq6NjLHy",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0",
"title": "2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0/199300b063",
"title": "Using BERT and Word Definitions for Implicit Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity-dependsys/2022/199300b063/1LSPsLy2Mve",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0",
"title": "2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/10097669",
"title": "Multimodal Sentiment Analysis Based on Attentional Temporal Convolutional Network and Multi-layer Feature Fusion",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/10097669/1M9lxTB1nDa",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isaiam/2022/8541/0/854100a006",
"title": "A study of aspect-level sentiment analysis based on deep learning",
"doi": null,
"abstractUrl": "/proceedings-article/isaiam/2022/854100a006/1MTTabqAnTO",
"parentPublication": {
"id": "proceedings/isaiam/2022/8541/0",
"title": "2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsme/2020/5619/0/561900a162",
"title": "Achieving Reliable Sentiment Analysis in the Software Engineering Domain using BERT",
"doi": null,
"abstractUrl": "/proceedings-article/icsme/2020/561900a162/1oqKMYiR7Rm",
"parentPublication": {
"id": "proceedings/icsme/2020/5619/0",
"title": "2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412167",
"title": "Adversarial Training for Aspect-Based Sentiment Analysis with BERT",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412167/1tmhkgFIhBm",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smartcomp/2021/1252/0/125200a383",
"title": "Multi-task BERT for Aspect-based Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/smartcomp/2021/125200a383/1xxcFcixBLO",
"parentPublication": {
"id": "proceedings/smartcomp/2021/1252/0",
"title": "2021 IEEE International Conference on Smart Computing (SMARTCOMP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1G9DtzCwrjW",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"acronym": "icme",
"groupId": "1000477",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1G9EbGAd56w",
"doi": "10.1109/ICME52920.2022.9859747",
"title": "HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis",
"normalizedTitle": "HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis",
"abstract": "Human language is multimodal, including textual, visual and acoustic information. The task of multimodal sentiment analysis is to use human multimodal information for sentiment recognition. Among the three modalities, text contains richer information than other modalities. With the development of pre-trained representation models on text, most of multimodal sentiment analysis methods use text as primary information and the other modalities as supplementary information. The existing methods suffer from the following limitations: 1) inherent heterogeneity of multimodal data, which makes multimodal fusion difficult as different modalities reside in different feature spaces; 2) asynchronism caused by the inconsistent sampling rates of the time series data of different modalities. To alleviate the heterogeneity and asynchronism of multimodal data, we propose HMAI-BERT, a hierarchical multimodal alignment and interaction network-enhanced BERT. In HMAI-BERT, to improve the efficiency of multimodal interaction, we introduce a memory network to align the different multimodal representations before fusion. After multimodal alignment, we propose a modal update method to address the problem of asynchronism, where each modality is reinforced by interacting with other modalities. In addition, we introduce a fusion module to integrate the three reinforced modalities, and a sentiment enhanced memory to enhance multimodal representation. Our experiments on two public datasets show that the proposed HMAI-BERT outperforms the state-of-the-art methods.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Human language is multimodal, including textual, visual and acoustic information. The task of multimodal sentiment analysis is to use human multimodal information for sentiment recognition. Among the three modalities, text contains richer information than other modalities. With the development of pre-trained representation models on text, most of multimodal sentiment analysis methods use text as primary information and the other modalities as supplementary information. The existing methods suffer from the following limitations: 1) inherent heterogeneity of multimodal data, which makes multimodal fusion difficult as different modalities reside in different feature spaces; 2) asynchronism caused by the inconsistent sampling rates of the time series data of different modalities. To alleviate the heterogeneity and asynchronism of multimodal data, we propose HMAI-BERT, a hierarchical multimodal alignment and interaction network-enhanced BERT. In HMAI-BERT, to improve the efficiency of multimodal interaction, we introduce a memory network to align the different multimodal representations before fusion. After multimodal alignment, we propose a modal update method to address the problem of asynchronism, where each modality is reinforced by interacting with other modalities. In addition, we introduce a fusion module to integrate the three reinforced modalities, and a sentiment enhanced memory to enhance multimodal representation. Our experiments on two public datasets show that the proposed HMAI-BERT outperforms the state-of-the-art methods.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Human language is multimodal, including textual, visual and acoustic information. The task of multimodal sentiment analysis is to use human multimodal information for sentiment recognition. Among the three modalities, text contains richer information than other modalities. With the development of pre-trained representation models on text, most of multimodal sentiment analysis methods use text as primary information and the other modalities as supplementary information. The existing methods suffer from the following limitations: 1) inherent heterogeneity of multimodal data, which makes multimodal fusion difficult as different modalities reside in different feature spaces; 2) asynchronism caused by the inconsistent sampling rates of the time series data of different modalities. To alleviate the heterogeneity and asynchronism of multimodal data, we propose HMAI-BERT, a hierarchical multimodal alignment and interaction network-enhanced BERT. In HMAI-BERT, to improve the efficiency of multimodal interaction, we introduce a memory network to align the different multimodal representations before fusion. After multimodal alignment, we propose a modal update method to address the problem of asynchronism, where each modality is reinforced by interacting with other modalities. In addition, we introduce a fusion module to integrate the three reinforced modalities, and a sentiment enhanced memory to enhance multimodal representation. Our experiments on two public datasets show that the proposed HMAI-BERT outperforms the state-of-the-art methods.",
"fno": "09859747",
"keywords": [
"Data Mining",
"Emotion Recognition",
"Feature Extraction",
"Information Retrieval",
"Learning Artificial Intelligence",
"Pattern Classification",
"Sensor Fusion",
"Text Analysis",
"Time Series",
"User Interfaces",
"Multimodal Data",
"Multimodal Fusion Difficult",
"Different Modalities Reside",
"Different Feature Spaces",
"HMAI BERT",
"Hierarchical Multimodal Alignment",
"Interaction Network Enhanced BERT",
"Multimodal Interaction",
"Different Multimodal Representations",
"Modal Update Method",
"Sentiment Enhanced Memory",
"Multimodal Representation",
"Textual Information",
"Visual Information",
"Acoustic Information",
"Human Multimodal Information",
"Sentiment Recognition",
"Richer Information",
"Pre Trained Representation Models",
"Multimodal Sentiment Analysis Methods",
"Primary Information",
"Supplementary Information",
"Sentiment Analysis",
"Analytical Models",
"Visualization",
"Correlation",
"Bit Error Rate",
"Time Series Analysis",
"Memory Management",
"Multimodal",
"Sentiment",
"Alignment",
"Memory",
"Interaction"
],
"authors": [
{
"affiliation": "Harbin Institute of Technology,Shenzhen",
"fullName": "Xianbing Zhao",
"givenName": "Xianbing",
"surname": "Zhao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Harbin Institute of Technology,Shenzhen",
"fullName": "Yixin Chen",
"givenName": "Yixin",
"surname": "Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Harbin Institute of Technology,Shenzhen",
"fullName": "Yiting Chen",
"givenName": "Yiting",
"surname": "Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Harbin Institute of Technology,Shenzhen",
"fullName": "Sicen Liu",
"givenName": "Sicen",
"surname": "Liu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Harbin Institute of Technology,Shenzhen",
"fullName": "Buzhou Tang",
"givenName": "Buzhou",
"surname": "Tang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icme",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-07-01T00:00:00",
"pubType": "proceedings",
"pages": "1-6",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-8563-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09859656",
"articleId": "1G9DDkwR1kc",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09859729",
"articleId": "1G9DCCuL4hG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icdmw/2021/2427/0/242700a151",
"title": "A Multitask Learning Framework for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2021/242700a151/1AjSMiiLB8k",
"parentPublication": {
"id": "proceedings/icdmw/2021/2427/0",
"title": "2021 International Conference on Data Mining Workshops (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ic/2022/04/09733228",
"title": "A Multitask Multimodal Framework for Sentiment and Emotion-Aided Cyberbullying Detection",
"doi": null,
"abstractUrl": "/magazine/ic/2022/04/09733228/1BENIfynm2A",
"parentPublication": {
"id": "mags/ic",
"title": "IEEE Internet Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mlbdbi/2021/1790/0/179000a254",
"title": "Aspect-level Sentiment Analysis based on BERT Fusion Multi-module",
"doi": null,
"abstractUrl": "/proceedings-article/mlbdbi/2021/179000a254/1BQiHhJR2xO",
"parentPublication": {
"id": "proceedings/mlbdbi/2021/1790/0",
"title": "2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09860014",
"title": "Utilizing BERT Intermediate Layers for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09860014/1G9EKqcyxmU",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/09950317",
"title": "Shared-Private Memory Networks for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/09950317/1IiL85ndjs4",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0/199300a135",
"title": "Evaluating BERT on cloud-edge time series forecasting and sentiment analysis via prompt learning",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity-dependsys/2022/199300a135/1LSPq6NjLHy",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0",
"title": "2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0/199300b063",
"title": "Using BERT and Word Definitions for Implicit Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity-dependsys/2022/199300b063/1LSPsLy2Mve",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0",
"title": "2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsme/2020/5619/0/561900a162",
"title": "Achieving Reliable Sentiment Analysis in the Software Engineering Domain using BERT",
"doi": null,
"abstractUrl": "/proceedings-article/icsme/2020/561900a162/1oqKMYiR7Rm",
"parentPublication": {
"id": "proceedings/icsme/2020/5619/0",
"title": "2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412167",
"title": "Adversarial Training for Aspect-Based Sentiment Analysis with BERT",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412167/1tmhkgFIhBm",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smartcomp/2021/1252/0/125200a383",
"title": "Multi-task BERT for Aspect-based Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/smartcomp/2021/125200a383/1xxcFcixBLO",
"parentPublication": {
"id": "proceedings/smartcomp/2021/1252/0",
"title": "2021 IEEE International Conference on Smart Computing (SMARTCOMP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1IHotVZum6Q",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"acronym": "icpr",
"groupId": "9956007",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1IHoIacv1uM",
"doi": "10.1109/ICPR56361.2022.9956114",
"title": "IMCN: Identifying Modal Contribution Network for Multimodal Sentiment Analysis",
"normalizedTitle": "IMCN: Identifying Modal Contribution Network for Multimodal Sentiment Analysis",
"abstract": "Multimodal sentiment analysis (MSA) aims to obtain the emotional polarity of language by analyzing multiple forms of human language, facial expressions, and vocal intonation. The traditional MSA model focuses on the fusion between modalities, ignoring the different contributions of language, visual, and acoustic. Thus different information of modality possesses different importance. To further explore the contributions of different modalities, we propose a highly generalized identifying modal contributions network(IMCN), which contains modality interaction module, modality fusion, and modality joint learning units in the framework. Specifically, we first designed a language modality gain detection module to make reasonable use of visual and acoustic information and reduce the noise of modal information. Secondly, crossmodal attention is used to enrich modal information. Finally, we perform joint learning of unimodal and multimodal modalities to explore the optimal solution for multimodal output. We compared with other popular multimodal sentiment analysis models and obtained better sentiment classification results on CMU-MOSI and CMU-MOSEI benchmark datasets. We also further validated the effectiveness of different modules of IMCN through ablation experiments and discussed the ideas of IMCN design.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Multimodal sentiment analysis (MSA) aims to obtain the emotional polarity of language by analyzing multiple forms of human language, facial expressions, and vocal intonation. The traditional MSA model focuses on the fusion between modalities, ignoring the different contributions of language, visual, and acoustic. Thus different information of modality possesses different importance. To further explore the contributions of different modalities, we propose a highly generalized identifying modal contributions network(IMCN), which contains modality interaction module, modality fusion, and modality joint learning units in the framework. Specifically, we first designed a language modality gain detection module to make reasonable use of visual and acoustic information and reduce the noise of modal information. Secondly, crossmodal attention is used to enrich modal information. Finally, we perform joint learning of unimodal and multimodal modalities to explore the optimal solution for multimodal output. We compared with other popular multimodal sentiment analysis models and obtained better sentiment classification results on CMU-MOSI and CMU-MOSEI benchmark datasets. We also further validated the effectiveness of different modules of IMCN through ablation experiments and discussed the ideas of IMCN design.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Multimodal sentiment analysis (MSA) aims to obtain the emotional polarity of language by analyzing multiple forms of human language, facial expressions, and vocal intonation. The traditional MSA model focuses on the fusion between modalities, ignoring the different contributions of language, visual, and acoustic. Thus different information of modality possesses different importance. To further explore the contributions of different modalities, we propose a highly generalized identifying modal contributions network(IMCN), which contains modality interaction module, modality fusion, and modality joint learning units in the framework. Specifically, we first designed a language modality gain detection module to make reasonable use of visual and acoustic information and reduce the noise of modal information. Secondly, crossmodal attention is used to enrich modal information. Finally, we perform joint learning of unimodal and multimodal modalities to explore the optimal solution for multimodal output. We compared with other popular multimodal sentiment analysis models and obtained better sentiment classification results on CMU-MOSI and CMU-MOSEI benchmark datasets. We also further validated the effectiveness of different modules of IMCN through ablation experiments and discussed the ideas of IMCN design.",
"fno": "09956114",
"keywords": [
"Data Mining",
"Emotion Recognition",
"Face Recognition",
"Feature Extraction",
"Learning Artificial Intelligence",
"Natural Language Processing",
"Pattern Classification",
"Text Analysis",
"Acoustic Information",
"Human Language",
"Identifying Modal Contribution Network",
"IMCN Design",
"Language Modality Gain Detection Module",
"Modal Information",
"Modality Fusion",
"Modality Interaction Module",
"Modality Joint Learning Units",
"Modality Possesses Different Importance",
"Multimodal Modalities",
"Multimodal Output",
"Multiple Forms",
"Popular Multimodal Sentiment Analysis Models",
"Sentiment Classification Results",
"Traditional MSA Model",
"Unimodal Modalities",
"Visual Information",
"Sentiment Analysis",
"Visualization",
"Analytical Models",
"Noise Reduction",
"Benchmark Testing",
"Acoustics",
"Pattern Recognition",
"Multimodal Sentiment Analysis",
"Attention Mechanism",
"Joint Learning",
"Modality Contribution"
],
"authors": [
{
"affiliation": "Shandong Normal University,School of Information Science and Engineering,Jinan,China",
"fullName": "Qiongan Zhang",
"givenName": "Qiongan",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Shandong Normal University,School of Information Science and Engineering,Jinan,China",
"fullName": "Lei Shi",
"givenName": "Lei",
"surname": "Shi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Shandong Normal University,School of Information Science and Engineering,Jinan,China",
"fullName": "Peiyu Liu",
"givenName": "Peiyu",
"surname": "Liu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Shandong Jiaotong University,School of Information Science and Electrical Engineering,Jinan,China",
"fullName": "Zhenfang Zhu",
"givenName": "Zhenfang",
"surname": "Zhu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Shandong Normal University,School of Information Science and Engineering,Jinan,China",
"fullName": "Liancheng Xu",
"givenName": "Liancheng",
"surname": "Xu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-08-01T00:00:00",
"pubType": "proceedings",
"pages": "4729-4735",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-9062-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09956322",
"articleId": "1IHoU2bxju8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09956511",
"articleId": "1IHpLRVz3MY",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icme/2017/6067/0/08019301",
"title": "Select-additive learning: Improving generalization in multimodal sentiment analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2017/08019301/12OmNyuPKYX",
"parentPublication": {
"id": "proceedings/icme/2017/6067/0",
"title": "2017 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/09767560",
"title": "Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/09767560/1D4H8huXs8U",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09859747",
"title": "HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09859747/1G9EbGAd56w",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09859836",
"title": "NHFNET: A Non-Homogeneous Fusion Network for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09859836/1G9EbnNyUpO",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/10003979",
"title": "TensorFormer: A Tensor-based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/10003979/1JwLhn5bvnq",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/assic/2022/6109/0/10088291",
"title": "Evaluation of Fusion Techniques for Multi-modal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/assic/2022/10088291/1M4rO7zRY5O",
"parentPublication": {
"id": "proceedings/assic/2022/6109/0",
"title": "2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/10097669",
"title": "Multimodal Sentiment Analysis Based on Attentional Temporal Convolutional Network and Multi-layer Feature Fusion",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/10097669/1M9lxTB1nDa",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2021/03/09351737",
"title": "Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/magazine/ex/2021/03/09351737/1r514cjJqAo",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/mu/2021/02/09428534",
"title": "Multimodal Event-Aware Network for Sentiment Analysis in Tourism",
"doi": null,
"abstractUrl": "/magazine/mu/2021/02/09428534/1twaL4Ixak8",
"parentPublication": {
"id": "mags/mu",
"title": "IEEE MultiMedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2021/3864/0/09428321",
"title": "Dense Fusion Network with Multimodal Residual for Sentiment Classification",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2021/09428321/1uilJpPtNdK",
"parentPublication": {
"id": "proceedings/icme/2021/3864/0",
"title": "2021 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1LRl0szGl3i",
"title": "2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC)",
"acronym": "icftic",
"groupId": "10073966",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1LRlklPXkac",
"doi": "10.1109/ICFTIC57696.2022.10075170",
"title": "A multimodal sentiment analysis model based on semantic enrichment",
"normalizedTitle": "A multimodal sentiment analysis model based on semantic enrichment",
"abstract": "At present, more and more multimodal pre-training models are applied to multimodal tasks, especially the sentiment analysis task of graphic modalities. However, people have not considered the problem of information richness when using multimodal pre-trained models for image semantic representation, So we propose a simple semantic enrichment method with flexible adjustment mechanism, and build a sentiment analysis model of graphic modalities to address above problem. It has been verified that the accuracy and F1 score of MVSA-multi and MVSA-single datasets are improved by 1 to 3 percentage points compared with the existing mainstream models.",
"abstracts": [
{
"abstractType": "Regular",
"content": "At present, more and more multimodal pre-training models are applied to multimodal tasks, especially the sentiment analysis task of graphic modalities. However, people have not considered the problem of information richness when using multimodal pre-trained models for image semantic representation, So we propose a simple semantic enrichment method with flexible adjustment mechanism, and build a sentiment analysis model of graphic modalities to address above problem. It has been verified that the accuracy and F1 score of MVSA-multi and MVSA-single datasets are improved by 1 to 3 percentage points compared with the existing mainstream models.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "At present, more and more multimodal pre-training models are applied to multimodal tasks, especially the sentiment analysis task of graphic modalities. However, people have not considered the problem of information richness when using multimodal pre-trained models for image semantic representation, So we propose a simple semantic enrichment method with flexible adjustment mechanism, and build a sentiment analysis model of graphic modalities to address above problem. It has been verified that the accuracy and F1 score of MVSA-multi and MVSA-single datasets are improved by 1 to 3 percentage points compared with the existing mainstream models.",
"fno": "10075170",
"keywords": [
"Image Representation",
"Sentiment Analysis",
"Graphic Modalities",
"Image Semantic Representation",
"Multimodal Pre Training Models",
"Multimodal Sentiment Analysis Model",
"Multimodal Tasks",
"MVSA Multi Datasets",
"MVSA Single Datasets",
"Semantic Enrichment Method",
"Graphics",
"Analytical Models",
"Sentiment Analysis",
"Computational Modeling",
"Semantics",
"Task Analysis",
"Multimodal Sentiment Analysis",
"Information Richness",
"Pre Trained Model"
],
"authors": [
{
"affiliation": "School of Computer Science, Jiangsu Normal University,Xuzhou,JiangSu,China",
"fullName": "Cunshengbao Chen",
"givenName": "Cunshengbao",
"surname": "Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Computer Science, Jiangsu Normal University,Xuzhou,JiangSu,China",
"fullName": "Ping Ling",
"givenName": "Ping",
"surname": "Ling",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Computer Science, Jiangsu Normal University,Xuzhou,JiangSu,China",
"fullName": "Yongquan Dong",
"givenName": "Yongquan",
"surname": "Dong",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icftic",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-12-01T00:00:00",
"pubType": "proceedings",
"pages": "106-111",
"year": "2022",
"issn": null,
"isbn": "979-8-3503-2195-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "10075150",
"articleId": "1LRl3hklhVS",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "10075268",
"articleId": "1LRliLiSoJG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "trans/ta/5555/01/09726810",
"title": "Effects of Physiological Signals in Different Types of Multimodal Sentiment Estimation",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/09726810/1BrwhpnaEpi",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09860014",
"title": "Utilizing BERT Intermediate Layers for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09860014/1G9EKqcyxmU",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09859747",
"title": "HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09859747/1G9EbGAd56w",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09859836",
"title": "NHFNET: A Non-Homogeneous Fusion Network for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09859836/1G9EbnNyUpO",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2022/9062/0/09956114",
"title": "IMCN: Identifying Modal Contribution Network for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2022/09956114/1IHoIacv1uM",
"parentPublication": {
"id": "proceedings/icpr/2022/9062/0",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/09950317",
"title": "Shared-Private Memory Networks for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/09950317/1IiL85ndjs4",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/10097669",
"title": "Multimodal Sentiment Analysis Based on Attentional Temporal Convolutional Network and Multi-layer Feature Fusion",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/10097669/1M9lxTB1nDa",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/mu/2021/02/09428534",
"title": "Multimodal Event-Aware Network for Sentiment Analysis in Tourism",
"doi": null,
"abstractUrl": "/magazine/mu/2021/02/09428534/1twaL4Ixak8",
"parentPublication": {
"id": "mags/mu",
"title": "IEEE MultiMedia",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2021/3864/0/09428321",
"title": "Dense Fusion Network with Multimodal Residual for Sentiment Classification",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2021/09428321/1uilJpPtNdK",
"parentPublication": {
"id": "proceedings/icme/2021/3864/0",
"title": "2021 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552921",
"title": "M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552921/1xic8w3ygrm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1ezRZ8ZNrY4",
"title": "2019 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD)",
"acronym": "bcd",
"groupId": "1828424",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1ezS0p24e3K",
"doi": "10.1109/BCD.2019.8885108",
"title": "Multimodal Sentiment Analysis via RNN variants",
"normalizedTitle": "Multimodal Sentiment Analysis via RNN variants",
"abstract": "Multimodal sentiment analysis involves the classification of sentiment by using different forms of data together, namely, text, audio, and video. Previously sentiment analysis was implemented only on textual data. Multimodal sentiment analysis relies mainly on identifying the utterances present in the video and using them as a basis for sentiment classification. In this paper, we proposed four different variants of RNN, namely, GRNN, LRNN, GLRNN and UGRNN for analyzing the utterances of the speakers from the videos. Experimental results on CMI-MOSI dataset demonstrates that our approach is able to achieve better sentiment classification accuracy on individual modality (text, audio, and video) than existing approaches on the same dataset. Moreover, our method also gave decent results after fusing the individual modality using Attention networks for multimodal sentiment analysis.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Multimodal sentiment analysis involves the classification of sentiment by using different forms of data together, namely, text, audio, and video. Previously sentiment analysis was implemented only on textual data. Multimodal sentiment analysis relies mainly on identifying the utterances present in the video and using them as a basis for sentiment classification. In this paper, we proposed four different variants of RNN, namely, GRNN, LRNN, GLRNN and UGRNN for analyzing the utterances of the speakers from the videos. Experimental results on CMI-MOSI dataset demonstrates that our approach is able to achieve better sentiment classification accuracy on individual modality (text, audio, and video) than existing approaches on the same dataset. Moreover, our method also gave decent results after fusing the individual modality using Attention networks for multimodal sentiment analysis.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Multimodal sentiment analysis involves the classification of sentiment by using different forms of data together, namely, text, audio, and video. Previously sentiment analysis was implemented only on textual data. Multimodal sentiment analysis relies mainly on identifying the utterances present in the video and using them as a basis for sentiment classification. In this paper, we proposed four different variants of RNN, namely, GRNN, LRNN, GLRNN and UGRNN for analyzing the utterances of the speakers from the videos. Experimental results on CMI-MOSI dataset demonstrates that our approach is able to achieve better sentiment classification accuracy on individual modality (text, audio, and video) than existing approaches on the same dataset. Moreover, our method also gave decent results after fusing the individual modality using Attention networks for multimodal sentiment analysis.",
"fno": "08885108",
"keywords": [
"Data Mining",
"Emotion Recognition",
"Natural Language Processing",
"Pattern Classification",
"Recurrent Neural Nets",
"Sentiment Analysis",
"Video Signal Processing",
"Sentiment Classification Accuracy",
"Multimodal Sentiment Analysis",
"RNN Variants",
"GRNN",
"LRNN",
"GLRNN",
"UGRNN",
"CMI MOSI Dataset",
"Attention Networks",
"Sentiment Analysis",
"Testing",
"Deep Learning",
"Feature Extraction",
"Training",
"Logic Gates",
"Recurrent Neural Networks",
"Attention Networks",
"Deep Learning",
"Long Short Term Memory",
"Multimodal Sentiment Analysis",
"Recurrent Neural Networks RN Ns"
],
"authors": [
{
"affiliation": "Biometric Research Laboratory, Delhi Technological University, New Delhi, India",
"fullName": "Ayush Agarwal",
"givenName": "Ayush",
"surname": "Agarwal",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Biometric Research Laboratory, Delhi Technological University, New Delhi, India",
"fullName": "Ashima Yadav",
"givenName": "Ashima",
"surname": "Yadav",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Biometric Research Laboratory, Delhi Technological University, New Delhi, India",
"fullName": "Dinesh Kumar Vishwakarma",
"givenName": "Dinesh Kumar",
"surname": "Vishwakarma",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "bcd",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-05-01T00:00:00",
"pubType": "proceedings",
"pages": "19-23",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-0886-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08884850",
"articleId": "1ezRZmnMyiI",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08885126",
"articleId": "1ezS1wNHreU",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icdm/2017/3835/0/3835b033",
"title": "Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2017/3835b033/12OmNxjjElj",
"parentPublication": {
"id": "proceedings/icdm/2017/3835/0",
"title": "2017 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2017/6067/0/08019301",
"title": "Select-additive learning: Improving generalization in multimodal sentiment analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2017/08019301/12OmNyuPKYX",
"parentPublication": {
"id": "proceedings/icme/2017/6067/0",
"title": "2017 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2016/5473/0/07837868",
"title": "Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2016/07837868/12OmNzRHORp",
"parentPublication": {
"id": "proceedings/icdm/2016/5473/0",
"title": "2016 IEEE 16th International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2022/7218/0/09859289",
"title": "Demusa: Demo for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2022/09859289/1G4EX2l1hVC",
"parentPublication": {
"id": "proceedings/icmew/2022/7218/0",
"title": "2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2022/8563/0/09859747",
"title": "HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2022/09859747/1G9EbGAd56w",
"parentPublication": {
"id": "proceedings/icme/2022/8563/0",
"title": "2022 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2022/9062/0/09956114",
"title": "IMCN: Identifying Modal Contribution Network for Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2022/09956114/1IHoIacv1uM",
"parentPublication": {
"id": "proceedings/icpr/2022/9062/0",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/10003979",
"title": "TensorFormer: A Tensor-based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/10003979/1JwLhn5bvnq",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/5555/01/10097669",
"title": "Multimodal Sentiment Analysis Based on Attentional Temporal Convolutional Network and Multi-layer Feature Fusion",
"doi": null,
"abstractUrl": "/journal/ta/5555/01/10097669/1M9lxTB1nDa",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2021/03/09351737",
"title": "Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis",
"doi": null,
"abstractUrl": "/magazine/ex/2021/03/09351737/1r514cjJqAo",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2021/3864/0/09428321",
"title": "Dense Fusion Network with Multimodal Residual for Sentiment Classification",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2021/09428321/1uilJpPtNdK",
"parentPublication": {
"id": "proceedings/icme/2021/3864/0",
"title": "2021 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNwLOYSr",
"title": "2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"acronym": "icmew",
"groupId": "1801805",
"volume": "0",
"displayVolume": "0",
"year": "2016",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNvonIKr",
"doi": "10.1109/ICMEW.2016.7574665",
"title": "Improve dog recognition by mining more information from both click-through logs and pre-trained models",
"normalizedTitle": "Improve dog recognition by mining more information from both click-through logs and pre-trained models",
"abstract": "Dog breeds recognition is a typical task of fine-grained image classification, which requires both more training images to describe each dog breed and better models to automatically discriminate different dog breeds. In this paper, we use click-through logs as source data and pre-trained deep convolutional neural network (DCNN) as initial model to build our dog recognizer. To improve recognition accuracy, we propose to mine more useful information from both data and model. Mining more information from data is achieved by mining more images for each dog breed which is achieved through automatically finding more dog-related words, while more information from pre-trained DCNNs is mined by keeping related neurons in last layer which are usually ignored in previous methods. Extensive offline experiments show consistent improvement of the proposed method. We also participate “MSR Image Recognition Challenge (IRC) @ ICME2016” under the setting of not using external data for online evaluation, our method achieves the second place comparing all methods from both tracks using and not using external data, and wins methods also not using external data by a large margin (i.e., 86.90% vs 71.35% measured in top-5 accuracy).",
"abstracts": [
{
"abstractType": "Regular",
"content": "Dog breeds recognition is a typical task of fine-grained image classification, which requires both more training images to describe each dog breed and better models to automatically discriminate different dog breeds. In this paper, we use click-through logs as source data and pre-trained deep convolutional neural network (DCNN) as initial model to build our dog recognizer. To improve recognition accuracy, we propose to mine more useful information from both data and model. Mining more information from data is achieved by mining more images for each dog breed which is achieved through automatically finding more dog-related words, while more information from pre-trained DCNNs is mined by keeping related neurons in last layer which are usually ignored in previous methods. Extensive offline experiments show consistent improvement of the proposed method. We also participate “MSR Image Recognition Challenge (IRC) @ ICME2016” under the setting of not using external data for online evaluation, our method achieves the second place comparing all methods from both tracks using and not using external data, and wins methods also not using external data by a large margin (i.e., 86.90% vs 71.35% measured in top-5 accuracy).",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Dog breeds recognition is a typical task of fine-grained image classification, which requires both more training images to describe each dog breed and better models to automatically discriminate different dog breeds. In this paper, we use click-through logs as source data and pre-trained deep convolutional neural network (DCNN) as initial model to build our dog recognizer. To improve recognition accuracy, we propose to mine more useful information from both data and model. Mining more information from data is achieved by mining more images for each dog breed which is achieved through automatically finding more dog-related words, while more information from pre-trained DCNNs is mined by keeping related neurons in last layer which are usually ignored in previous methods. Extensive offline experiments show consistent improvement of the proposed method. We also participate “MSR Image Recognition Challenge (IRC) @ ICME2016” under the setting of not using external data for online evaluation, our method achieves the second place comparing all methods from both tracks using and not using external data, and wins methods also not using external data by a large margin (i.e., 86.90% vs 71.35% measured in top-5 accuracy).",
"fno": "07574665",
"keywords": [
"Dogs",
"Training",
"Neurons",
"Data Models",
"Data Mining",
"Image Recognition",
"Training Data",
"Pre Trained Model",
"Data Knowledge",
"Model Knowledge",
"Dog Breeds Classification",
"Click Through Log"
],
"authors": [
{
"affiliation": "Sun Yat-Sen University(Guangdong Key Laboratory of Information Security Technology), China",
"fullName": "Guotian Xie",
"givenName": null,
"surname": "Guotian Xie",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Microsoft Research, China",
"fullName": "Kuiyuan Yang",
"givenName": null,
"surname": "Kuiyuan Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Harbin Institute Of Technology, China",
"fullName": "Yalong Bai",
"givenName": null,
"surname": "Yalong Bai",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Tsinghua University, China",
"fullName": "Min Shang",
"givenName": null,
"surname": "Min Shang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Microsoft Research, China",
"fullName": "Yong Rui",
"givenName": null,
"surname": "Yong Rui",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Sun Yat-Sen University(Guangdong Key Laboratory of Information Security Technology), China",
"fullName": "Jianhuang Lai",
"givenName": null,
"surname": "Jianhuang Lai",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icmew",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2016-07-01T00:00:00",
"pubType": "proceedings",
"pages": "1-4",
"year": "2016",
"issn": null,
"isbn": "978-1-5090-1552-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07574664",
"articleId": "12OmNwDj0WK",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07574666",
"articleId": "12OmNwB2dW2",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvpr/2012/1226/0/442P3C14",
"title": "Cats and dogs",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2012/442P3C14/12OmNAWYKL8",
"parentPublication": {
"id": "proceedings/cvpr/2012/1226/0",
"title": "2012 IEEE Conference on Computer Vision and Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2016/1552/0/07574663",
"title": "ICME 2016 Image Recognition Grand Challenge",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2016/07574663/12OmNBTJIwm",
"parentPublication": {
"id": "proceedings/icmew/2016/1552/0",
"title": "2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2016/1552/0/07574664",
"title": "Ensemble deep neural networks for domain-specific Image Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2016/07574664/12OmNwDj0WK",
"parentPublication": {
"id": "proceedings/icmew/2016/1552/0",
"title": "2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2013/4795/0/06549391",
"title": "Perceiving biological motions of real dog actions and human mimicry",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2013/06549391/12OmNx8fibD",
"parentPublication": {
"id": "proceedings/vr/2013/4795/0",
"title": "2013 IEEE Virtual Reality (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2016/1552/0/07574662",
"title": "Learning to recognition from Bing Clickture data",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2016/07574662/12OmNzmclJ3",
"parentPublication": {
"id": "proceedings/icmew/2016/1552/0",
"title": "2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ism/2018/6857/0/685700a198",
"title": "Comprehensive Study of Multiple CNNs Fusion for Fine-Grained Dog Breed Categorization",
"doi": null,
"abstractUrl": "/proceedings-article/ism/2018/685700a198/17D45VTRorR",
"parentPublication": {
"id": "proceedings/ism/2018/6857/0",
"title": "2018 IEEE International Symposium on Multimedia (ISM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwecai/2022/7997/0/799700a573",
"title": "Small scale dog face detection using improved Faster RCNN",
"doi": null,
"abstractUrl": "/proceedings-article/iwecai/2022/799700a573/1CugtTAlffG",
"parentPublication": {
"id": "proceedings/iwecai/2022/7997/0",
"title": "2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600d866",
"title": "BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600d866/1H1id7i9KRW",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800i333",
"title": "RGBD-Dog: Predicting Canine Pose from RGBD Sensors",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800i333/1m3npw1SCKA",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csci/2020/7624/0/762400b641",
"title": "Comparisons of Full Body and Facial Dog Identification",
"doi": null,
"abstractUrl": "/proceedings-article/csci/2020/762400b641/1uGZ4ZZiTgA",
"parentPublication": {
"id": "proceedings/csci/2020/7624/0",
"title": "2020 International Conference on Computational Science and Computational Intelligence (CSCI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNwLOYSv",
"title": "2018 IEEE 12th International Conference on Semantic Computing (ICSC)",
"acronym": "icsc",
"groupId": "1001356",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyUWR7p",
"doi": "10.1109/ICSC.2018.00032",
"title": "Semantic Image Retrieval via Active Grounding of Visual Situations",
"normalizedTitle": "Semantic Image Retrieval via Active Grounding of Visual Situations",
"abstract": "We describe a novel architecture for semantic image retrieval-in particular, retrieval of instances of visual situations. Visual situations are concepts such as “a boxing match,” “walking the dog,” “a crowd waiting for a bus,” or “a game of pingpong,” whose instantiations in images are linked more by their common spatial and semantic structure than by low-level visual similarity. Given a query situation description, our architecture-called Situate-learns models capturing the visual features of expected objects as well the expected spatial configuration of relationships among objects. Given a new image, Situate uses these models in an attempt to ground (i.e., to create a bounding box locating) each expected component of the situation in the image via an active search procedure. Situate uses the resulting grounding to compute a score indicating the degree to which the new image is judged to contain an instance of the situation. Such scores can be used to rank images in a collection as part of a retrieval system. In the preliminary study described here, we demonstrate the promise of this system by comparing Situate's performance with that of two baseline methods, as well as with a related semantic image-retrieval system based on “scene graphs.”",
"abstracts": [
{
"abstractType": "Regular",
"content": "We describe a novel architecture for semantic image retrieval-in particular, retrieval of instances of visual situations. Visual situations are concepts such as “a boxing match,” “walking the dog,” “a crowd waiting for a bus,” or “a game of pingpong,” whose instantiations in images are linked more by their common spatial and semantic structure than by low-level visual similarity. Given a query situation description, our architecture-called Situate-learns models capturing the visual features of expected objects as well the expected spatial configuration of relationships among objects. Given a new image, Situate uses these models in an attempt to ground (i.e., to create a bounding box locating) each expected component of the situation in the image via an active search procedure. Situate uses the resulting grounding to compute a score indicating the degree to which the new image is judged to contain an instance of the situation. Such scores can be used to rank images in a collection as part of a retrieval system. In the preliminary study described here, we demonstrate the promise of this system by comparing Situate's performance with that of two baseline methods, as well as with a related semantic image-retrieval system based on “scene graphs.”",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We describe a novel architecture for semantic image retrieval-in particular, retrieval of instances of visual situations. Visual situations are concepts such as “a boxing match,” “walking the dog,” “a crowd waiting for a bus,” or “a game of pingpong,” whose instantiations in images are linked more by their common spatial and semantic structure than by low-level visual similarity. Given a query situation description, our architecture-called Situate-learns models capturing the visual features of expected objects as well the expected spatial configuration of relationships among objects. Given a new image, Situate uses these models in an attempt to ground (i.e., to create a bounding box locating) each expected component of the situation in the image via an active search procedure. Situate uses the resulting grounding to compute a score indicating the degree to which the new image is judged to contain an instance of the situation. Such scores can be used to rank images in a collection as part of a retrieval system. In the preliminary study described here, we demonstrate the promise of this system by comparing Situate's performance with that of two baseline methods, as well as with a related semantic image-retrieval system based on “scene graphs.”",
"fno": "440801a172",
"keywords": [
"Computer Vision",
"Image Retrieval",
"Learning Artificial Intelligence",
"Semantic Image Retrieval",
"Active Grounding",
"Visual Situations",
"Semantic Structure",
"Low Level Visual Similarity",
"Query Situation Description",
"Visual Features",
"Spatial Structure",
"Situate Learns Models",
"Proposals",
"Visualization",
"Training",
"Dogs",
"Semantics",
"Shape",
"Legged Locomotion"
],
"authors": [
{
"affiliation": null,
"fullName": "Max H. Quinn",
"givenName": "Max H.",
"surname": "Quinn",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Erik Conser",
"givenName": "Erik",
"surname": "Conser",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Jordan M. Witte",
"givenName": "Jordan M.",
"surname": "Witte",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Melanie Mitchell",
"givenName": "Melanie",
"surname": "Mitchell",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icsc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-01-01T00:00:00",
"pubType": "proceedings",
"pages": "172-179",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-4408-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "440801a164",
"articleId": "12OmNvoWUWB",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "440801a180",
"articleId": "12OmNybfr7i",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvpr/2017/0457/0/0457d175",
"title": "SCC: Semantic Context Cascade for Efficient Action Detection",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2017/0457d175/12OmNCvLXWC",
"parentPublication": {
"id": "proceedings/cvpr/2017/0457/0",
"title": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2017/1032/0/08237703",
"title": "Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/08237703/12OmNqBKTUO",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2017/0457/0/0457f957",
"title": "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2017/0457f957/12OmNzxyiGu",
"parentPublication": {
"id": "proceedings/cvpr/2017/0457/0",
"title": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/avss/2018/9294/0/08639114",
"title": "Attribute-based Person Retrieval and Search in Video Sequences",
"doi": null,
"abstractUrl": "/proceedings-article/avss/2018/08639114/17PYElCskwl",
"parentPublication": {
"id": "proceedings/avss/2018/9294/0",
"title": "2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2019/1975/0/197500a638",
"title": "Hierarchy-Based Image Embeddings for Semantic Image Retrieval",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2019/197500a638/18j8PvX35yU",
"parentPublication": {
"id": "proceedings/wacv/2019/1975/0",
"title": "2019 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600l1214",
"title": "Retrieval-based Spatially Adaptive Normalization for Semantic Image Synthesis",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600l1214/1H0OB5YoBwc",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsgea/2019/4463/0/446300a195",
"title": "A Painting Image Retrieval Approach Based on Visual Features and Semantic Classification",
"doi": null,
"abstractUrl": "/proceedings-article/icsgea/2019/446300a195/1eXasPug5AQ",
"parentPublication": {
"id": "proceedings/icsgea/2019/4463/0",
"title": "2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2020/9360/0/09150575",
"title": "Exploring Phrase Grounding without Training: Contextualisation and Extension to Text-Based Image Retrieval",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2020/09150575/1lPHqQfX8yc",
"parentPublication": {
"id": "proceedings/cvprw/2020/9360/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800k0757",
"title": "Visual Commonsense R-CNN",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800k0757/1m3nLjESQLu",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2021/0477/0/047700a676",
"title": "Keypoint-Aligned Embeddings for Image Retrieval and Re-identification",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2021/047700a676/1uqGskAnLpK",
"parentPublication": {
"id": "proceedings/wacv/2021/0477/0",
"title": "2021 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNy9Prj1",
"title": "2017 IEEE International Conference on Computer Vision Workshop (ICCVW)",
"acronym": "iccvw",
"groupId": "1800041",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyvY9sc",
"doi": "10.1109/ICCVW.2017.23",
"title": "Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing",
"normalizedTitle": "Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing",
"abstract": "The digital reconstruction of neuronal morphology from single neurons, also called neuron tracing, is a crucial process to gain a better understanding of the relationship and connections in neuronal networks. However, the fully automation of neuron tracing remains a big challenge due to the biological diversity of the neuronal morphology, varying image qualities captured by different microscopes and large-scale nature of neuron image datasets. A common phenomenon in the low quality neuron images is the broken structures. To tackle this problem, we propose a novel automatic 3D neuron reconstruction framework named exhaustive tracing including distance transform, optimally oriented flux filter, fast-marching and hierarchical pruning. The proposed exhaustive tracing algorithm shows a robust capability of striding over large gaps in the low quality neuron images. It outperforms state-of-the-art neuron tracing algorithms by evaluating the tracing results on the large-scale First-2000 dataset and Gold dataset.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The digital reconstruction of neuronal morphology from single neurons, also called neuron tracing, is a crucial process to gain a better understanding of the relationship and connections in neuronal networks. However, the fully automation of neuron tracing remains a big challenge due to the biological diversity of the neuronal morphology, varying image qualities captured by different microscopes and large-scale nature of neuron image datasets. A common phenomenon in the low quality neuron images is the broken structures. To tackle this problem, we propose a novel automatic 3D neuron reconstruction framework named exhaustive tracing including distance transform, optimally oriented flux filter, fast-marching and hierarchical pruning. The proposed exhaustive tracing algorithm shows a robust capability of striding over large gaps in the low quality neuron images. It outperforms state-of-the-art neuron tracing algorithms by evaluating the tracing results on the large-scale First-2000 dataset and Gold dataset.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The digital reconstruction of neuronal morphology from single neurons, also called neuron tracing, is a crucial process to gain a better understanding of the relationship and connections in neuronal networks. However, the fully automation of neuron tracing remains a big challenge due to the biological diversity of the neuronal morphology, varying image qualities captured by different microscopes and large-scale nature of neuron image datasets. A common phenomenon in the low quality neuron images is the broken structures. To tackle this problem, we propose a novel automatic 3D neuron reconstruction framework named exhaustive tracing including distance transform, optimally oriented flux filter, fast-marching and hierarchical pruning. The proposed exhaustive tracing algorithm shows a robust capability of striding over large gaps in the low quality neuron images. It outperforms state-of-the-art neuron tracing algorithms by evaluating the tracing results on the large-scale First-2000 dataset and Gold dataset.",
"fno": "1034a126",
"keywords": [
"Neurons",
"Image Reconstruction",
"Three Dimensional Displays",
"Morphology",
"Skeleton",
"Transforms",
"Biological Neural Networks"
],
"authors": [
{
"affiliation": null,
"fullName": "Zihao Tang",
"givenName": "Zihao",
"surname": "Tang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Donghao Zhang",
"givenName": "Donghao",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Siqi Liu",
"givenName": "Siqi",
"surname": "Liu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Yang Song",
"givenName": "Yang",
"surname": "Song",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Hanchuan Peng",
"givenName": "Hanchuan",
"surname": "Peng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Weidong Cai",
"givenName": "Weidong",
"surname": "Cai",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccvw",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-10-01T00:00:00",
"pubType": "proceedings",
"pages": "126-133",
"year": "2017",
"issn": "2473-9944",
"isbn": "978-1-5386-1034-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "1034a116",
"articleId": "12OmNxI0KzM",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "1034a134",
"articleId": "12OmNzIUfVp",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/hpcs/2017/3250/0/08035160",
"title": "Programmed Neuron Cells' Morphology Multiphase Assessment",
"doi": null,
"abstractUrl": "/proceedings-article/hpcs/2017/08035160/12OmNAndija",
"parentPublication": {
"id": "proceedings/hpcs/2017/3250/0",
"title": "2017 International Conference on High-Performance Computing & Simulation (HPCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2016/4273/0/07870905",
"title": "Data-oriented neuron classification from their parts",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2016/07870905/12OmNrkT7FI",
"parentPublication": {
"id": "proceedings/e-science/2016/4273/0",
"title": "2016 IEEE 12th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2013/1309/0/06732714",
"title": "A novel seeding method based on spatial sliding volume filter for neuron reconstruction",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2013/06732714/12OmNwF0BNI",
"parentPublication": {
"id": "proceedings/bibm/2013/1309/0",
"title": "2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2016/9036/0/9036a130",
"title": "Automatic Neuron Tracing Using a Locally Tunable Approach",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2016/9036a130/12OmNwdbV1n",
"parentPublication": {
"id": "proceedings/cbms/2016/9036/0",
"title": "2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621212",
"title": "Automatic 3D Neuron Tracing Based on Terminations Detection",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621212/17D45VVho2h",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621126",
"title": "Improved V-Net Based Image Segmentation for 3D Neuron Reconstruction",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621126/17D45WXIkHK",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2023/9346/0/934600f776",
"title": "PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2023/934600f776/1KxUsxFsCfS",
"parentPublication": {
"id": "proceedings/wacv/2023/9346/0",
"title": "2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0/298000a289",
"title": "Optimization Algorithms in Reconstructions of Neuron Morphology: An Overview",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2019/298000a289/1ehBI4wpbUc",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0",
"title": "2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2019/2506/0/250600b105",
"title": "Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2019/250600b105/1iTvodX3iSI",
"parentPublication": {
"id": "proceedings/cvprw/2019/2506/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09226101",
"title": "Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09226101/1nWKGhzMhb2",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKirt",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"acronym": "cvpr",
"groupId": "1000147",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45WnnFXu",
"doi": "10.1109/CVPR.2018.00085",
"title": "Dynamic-Structured Semantic Propagation Network",
"normalizedTitle": "Dynamic-Structured Semantic Propagation Network",
"abstract": "Semantic concept hierarchy is still under-explored for semantic segmentation due to the inefficiency and complicated optimization of incorporating structural inference into dense prediction. This lack of modeling semantic correlations also makes prior works must tune highly-specified models for each task due to the label discrepancy across datasets. It severely limits the generalization capability of segmentation models for open set concept vocabulary and annotation utilization. In this paper, we propose a Dynamic-Structured Semantic Propagation Network (DSSPN) that builds a semantic neuron graph by explicitly incorporating the semantic concept hierarchy into network construction. Each neuron represents the instantiated module for recognizing a specific type of entity such as a super-class (e.g. food) or a specific concept (e.g. pizza). During training, DSSPN performs the dynamic-structured neuron computation graph by only activating a sub-graph of neurons for each image in a principled way. A dense semantic-enhanced neural block is proposed to propagate the learned knowledge of all ancestor neurons into each fine-grained child neuron for feature evolving. Another merit of such semantic explainable structure is the ability of learning a unified model concurrently on diverse datasets by selectively activating different neuron sub-graphs for each annotation at each step. Extensive experiments on four public semantic segmentation datasets (i.e. ADE20K, COCO-Stuff, Cityscape and Mapillary) demonstrate the superiority of our DSSPN over state-of-the-art segmentation models. Moreoever, we demonstrate a universal segmentation model that is jointly trained on diverse datasets can surpass the performance of the common fine-tuning scheme for exploiting multiple domain knowledge.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Semantic concept hierarchy is still under-explored for semantic segmentation due to the inefficiency and complicated optimization of incorporating structural inference into dense prediction. This lack of modeling semantic correlations also makes prior works must tune highly-specified models for each task due to the label discrepancy across datasets. It severely limits the generalization capability of segmentation models for open set concept vocabulary and annotation utilization. In this paper, we propose a Dynamic-Structured Semantic Propagation Network (DSSPN) that builds a semantic neuron graph by explicitly incorporating the semantic concept hierarchy into network construction. Each neuron represents the instantiated module for recognizing a specific type of entity such as a super-class (e.g. food) or a specific concept (e.g. pizza). During training, DSSPN performs the dynamic-structured neuron computation graph by only activating a sub-graph of neurons for each image in a principled way. A dense semantic-enhanced neural block is proposed to propagate the learned knowledge of all ancestor neurons into each fine-grained child neuron for feature evolving. Another merit of such semantic explainable structure is the ability of learning a unified model concurrently on diverse datasets by selectively activating different neuron sub-graphs for each annotation at each step. Extensive experiments on four public semantic segmentation datasets (i.e. ADE20K, COCO-Stuff, Cityscape and Mapillary) demonstrate the superiority of our DSSPN over state-of-the-art segmentation models. Moreoever, we demonstrate a universal segmentation model that is jointly trained on diverse datasets can surpass the performance of the common fine-tuning scheme for exploiting multiple domain knowledge.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Semantic concept hierarchy is still under-explored for semantic segmentation due to the inefficiency and complicated optimization of incorporating structural inference into dense prediction. This lack of modeling semantic correlations also makes prior works must tune highly-specified models for each task due to the label discrepancy across datasets. It severely limits the generalization capability of segmentation models for open set concept vocabulary and annotation utilization. In this paper, we propose a Dynamic-Structured Semantic Propagation Network (DSSPN) that builds a semantic neuron graph by explicitly incorporating the semantic concept hierarchy into network construction. Each neuron represents the instantiated module for recognizing a specific type of entity such as a super-class (e.g. food) or a specific concept (e.g. pizza). During training, DSSPN performs the dynamic-structured neuron computation graph by only activating a sub-graph of neurons for each image in a principled way. A dense semantic-enhanced neural block is proposed to propagate the learned knowledge of all ancestor neurons into each fine-grained child neuron for feature evolving. Another merit of such semantic explainable structure is the ability of learning a unified model concurrently on diverse datasets by selectively activating different neuron sub-graphs for each annotation at each step. Extensive experiments on four public semantic segmentation datasets (i.e. ADE20K, COCO-Stuff, Cityscape and Mapillary) demonstrate the superiority of our DSSPN over state-of-the-art segmentation models. Moreoever, we demonstrate a universal segmentation model that is jointly trained on diverse datasets can surpass the performance of the common fine-tuning scheme for exploiting multiple domain knowledge.",
"fno": "642000a752",
"keywords": [
"Graph Theory",
"Image Segmentation",
"Learning Artificial Intelligence",
"Neural Nets",
"Semantic Concept Hierarchy",
"Open Set Concept Vocabulary",
"DSSPN",
"Semantic Neuron Graph",
"Dynamic Structured Neuron Computation Graph",
"Semantic Enhanced Neural Block",
"Ancestor Neurons",
"Fine Grained Child Neuron",
"Semantic Explainable Structure",
"Public Semantic Segmentation Datasets",
"Universal Segmentation Model",
"Structural Inference",
"Dynamic Structured Semantic Propagation Network",
"Semantic Correlation Modeling",
"Annotation Utilization",
"Semantics",
"Neurons",
"Task Analysis",
"Image Segmentation",
"Vocabulary",
"Training",
"Correlation"
],
"authors": [
{
"affiliation": null,
"fullName": "Xiaodan Liang",
"givenName": "Xiaodan",
"surname": "Liang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Eric Xing",
"givenName": "Eric",
"surname": "Xing",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Hongfei Zhou",
"givenName": "Hongfei",
"surname": "Zhou",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-06-01T00:00:00",
"pubType": "proceedings",
"pages": "752-761",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-6420-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "642000a742",
"articleId": "17D45XwUAI1",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "642000a762",
"articleId": "17D45VObpNy",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iccv/2017/1032/0/1032f048",
"title": "Segmentation-Aware Convolutional Networks Using Local Attention Masks",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/1032f048/12OmNAoUT7J",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2014/5118/0/5118a360",
"title": "Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2014/5118a360/12OmNBLdKOj",
"parentPublication": {
"id": "proceedings/cvpr/2014/5118/0",
"title": "2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigcomp/2019/7789/0/08679313",
"title": "PESSN: Precision Enhancement Method for Semantic Segmentation Network",
"doi": null,
"abstractUrl": "/proceedings-article/bigcomp/2019/08679313/18XkkFc215S",
"parentPublication": {
"id": "proceedings/bigcomp/2019/7789/0",
"title": "2019 IEEE International Conference on Big Data and Smart Computing (BigComp)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200k0529",
"title": "Personalized Image Semantic Segmentation",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200k0529/1BmIJLplKFi",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2022/9062/0/09956531",
"title": "DISF: Dynamic Instance Segmentation with Semantic Features",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2022/09956531/1IHpFDceJpe",
"parentPublication": {
"id": "proceedings/icpr/2022/9062/0",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2019/3293/0/329300i877",
"title": "Semantic Correlation Promoted Shape-Variant Context for Segmentation",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2019/329300i877/1gysepu2oec",
"parentPublication": {
"id": "proceedings/cvpr/2019/3293/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2019/4803/0/480300a652",
"title": "Learning Propagation for Arbitrarily-Structured Data",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2019/480300a652/1hVlfauVGdq",
"parentPublication": {
"id": "proceedings/iccv/2019/4803/0",
"title": "2019 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09413021",
"title": "Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09413021/1tmhIy5kCLm",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdh/2020/9234/0/923400a316",
"title": "Multi-Path 3D U-Net for 3D tangled Neuron Image Semantic Segmentation",
"doi": null,
"abstractUrl": "/proceedings-article/icdh/2020/923400a316/1uGXYdJZo7C",
"parentPublication": {
"id": "proceedings/icdh/2020/9234/0",
"title": "2020 8th International Conference on Digital Home (ICDH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2022/12/09633155",
"title": "CTNet: Context-Based Tandem Network for Semantic Segmentation",
"doi": null,
"abstractUrl": "/journal/tp/2022/12/09633155/1z0u4elxHAk",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1Eb2qWexX8c",
"title": "2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)",
"acronym": "iiai-aai",
"groupId": "1801921",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1Eb2u3OH408",
"doi": "10.1109/IIAI-AAI53430.2021.00096",
"title": "Synchronous Dropout for Convolutional Neural Network",
"normalizedTitle": "Synchronous Dropout for Convolutional Neural Network",
"abstract": "In this paper, we propose a synchronous dropout that improves convolutional neural network (SD-CNN). The dropout is famous normalization technique for the artificial neural network. In the standard dropout, the neurons are randomly chosen with a fixed probability. In our method, we decompose the neurons in hidden layer to some groups. The neurons in hidden layer are randomly chosen by neuron groups, and all neurons in chosen group, are skipped a training phase with iteration. The group dropout increases training normalization than the standard dropout because the number of chosen neurons is constant. We compare that the group dropout with the standard dropout by using Fashion-MNIST.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper, we propose a synchronous dropout that improves convolutional neural network (SD-CNN). The dropout is famous normalization technique for the artificial neural network. In the standard dropout, the neurons are randomly chosen with a fixed probability. In our method, we decompose the neurons in hidden layer to some groups. The neurons in hidden layer are randomly chosen by neuron groups, and all neurons in chosen group, are skipped a training phase with iteration. The group dropout increases training normalization than the standard dropout because the number of chosen neurons is constant. We compare that the group dropout with the standard dropout by using Fashion-MNIST.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper, we propose a synchronous dropout that improves convolutional neural network (SD-CNN). The dropout is famous normalization technique for the artificial neural network. In the standard dropout, the neurons are randomly chosen with a fixed probability. In our method, we decompose the neurons in hidden layer to some groups. The neurons in hidden layer are randomly chosen by neuron groups, and all neurons in chosen group, are skipped a training phase with iteration. The group dropout increases training normalization than the standard dropout because the number of chosen neurons is constant. We compare that the group dropout with the standard dropout by using Fashion-MNIST.",
"fno": "242000a536",
"keywords": [
"Training",
"Neurons",
"Convolutional Neural Networks",
"Feeds",
"Informatics",
"Standards",
"Convolutional Neural Network",
"Dropout",
"Fashion Mnist"
],
"authors": [
{
"affiliation": "National Institute of Technology, Suzuka college,Dept. advanced eng. course of science and tech. for innovation,Suzuka,Japan",
"fullName": "Ikkei Sakurai",
"givenName": "Ikkei",
"surname": "Sakurai",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "National Institute of Technology, Suzuka college,Dept. electrical and electronics engineering,Suzuka,Japan",
"fullName": "Chihiro Ikuta",
"givenName": "Chihiro",
"surname": "Ikuta",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iiai-aai",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-07-01T00:00:00",
"pubType": "proceedings",
"pages": "536-539",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-2420-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "242000a532",
"articleId": "1Eb2IOaDpD2",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "242000a540",
"articleId": "1Eb2uqlx75C",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iccv/2017/1032/0/1032d564",
"title": "Curriculum Dropout",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2017/1032d564/12OmNC3XhzE",
"parentPublication": {
"id": "proceedings/iccv/2017/1032/0",
"title": "2017 IEEE International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mdm/2017/3932/0/07962485",
"title": "Model Regularization of Deep Neural Networks for Robust Clinical Opinions Generation from General Blood Test Results",
"doi": null,
"abstractUrl": "/proceedings-article/mdm/2017/07962485/12OmNxiKrXf",
"parentPublication": {
"id": "proceedings/mdm/2017/3932/0",
"title": "2017 18th IEEE International Conference on Mobile Data Management (MDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2019/07/08370896",
"title": "Feedback Convolutional Neural Network for Visual Localization and Segmentation",
"doi": null,
"abstractUrl": "/journal/tp/2019/07/08370896/13rRUwdIOTs",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/crv/2018/6481/0/648101a375",
"title": "Convolutional Neural Networks Regularized by Correlated Noise",
"doi": null,
"abstractUrl": "/proceedings-article/crv/2018/648101a375/17D45Wc1IJy",
"parentPublication": {
"id": "proceedings/crv/2018/6481/0",
"title": "2018 15th Conference on Computer and Robot Vision (CRV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cis/2021/9489/0/948900a137",
"title": "Gradient-based Dynamic Dropout",
"doi": null,
"abstractUrl": "/proceedings-article/cis/2021/948900a137/1AUpmInjlKM",
"parentPublication": {
"id": "proceedings/cis/2021/9489/0",
"title": "2021 17th International Conference on Computational Intelligence and Security (CIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/5555/01/09810538",
"title": "A Survey on Dropout Methods and Experimental Verification in Recommendation",
"doi": null,
"abstractUrl": "/journal/tk/5555/01/09810538/1EBiGPSrxQY",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/micro/2020/7383/0/738300a229",
"title": "Fast-BCNN: Massive Neuron Skipping in Bayesian Convolutional Neural Networks",
"doi": null,
"abstractUrl": "/proceedings-article/micro/2020/738300a229/1oFGE53o78A",
"parentPublication": {
"id": "proceedings/micro/2020/7383/0",
"title": "2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cloud-summit/2020/8266/0/826600a176",
"title": "Pace Control via Adaptive Dropout for Federated Training: A Work-in-Progress Report",
"doi": null,
"abstractUrl": "/proceedings-article/cloud-summit/2020/826600a176/1pA7lpYfUWI",
"parentPublication": {
"id": "proceedings/cloud-summit/2020/8266/0",
"title": "2020 IEEE Cloud Summit",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ifeea/2020/9627/0/962700a753",
"title": "Improved Convolutional Neural Network Fault Diagnosis Method Based on Dropout",
"doi": null,
"abstractUrl": "/proceedings-article/ifeea/2020/962700a753/1rvCFXqXVXG",
"parentPublication": {
"id": "proceedings/ifeea/2020/9627/0",
"title": "2020 7th International Forum on Electrical Engineering and Automation (IFEEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412733",
"title": "MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412733/1tmi3EIFQgo",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1H1gVMlkl32",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"acronym": "cvpr",
"groupId": "1000147",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1H1hYL7OfpS",
"doi": "10.1109/CVPR52688.2022.01001",
"title": "HINT: Hierarchical Neuron Concept Explainer",
"normalizedTitle": "HINT: Hierarchical Neuron Concept Explainer",
"abstract": "To interpret deep networks, one main approach is to associate neurons with human-understandable concepts. However, existing methods often ignore the inherent connections of different concepts (e.g., dog and cat both belong to animals), and thus lose the chance to explain neurons responsible for higher-level concepts (e.g., animal). In this paper, we study hierarchical concepts inspired by the hierarchical cognition process of human beings. To this end, we propose HIerarchical Neuron concepT explainer (HINT) to effectively build bidirectional associations between neurons and hierarchical concepts in a low-cost and scalable manner. HINT enables us to systematically and quantitatively study whether and how the implicit hierarchical relationships of concepts are embedded into neurons. Specifically, HINT identifies collaborative neurons responsible for one concept and multimodal neurons pertinent to different concepts, at different semantic levels from concrete concepts (e.g., dog) to more abstract ones (e.g., animal). Finally, we verify the faithfulness of the associations using Weakly Supervised Object Localization, and demonstrate its applicability in various tasks, such as discovering saliency regions and explaining adversarial attacks. Code is available on https://github.com/AntonotnaWang/HINT.",
"abstracts": [
{
"abstractType": "Regular",
"content": "To interpret deep networks, one main approach is to associate neurons with human-understandable concepts. However, existing methods often ignore the inherent connections of different concepts (e.g., dog and cat both belong to animals), and thus lose the chance to explain neurons responsible for higher-level concepts (e.g., animal). In this paper, we study hierarchical concepts inspired by the hierarchical cognition process of human beings. To this end, we propose HIerarchical Neuron concepT explainer (HINT) to effectively build bidirectional associations between neurons and hierarchical concepts in a low-cost and scalable manner. HINT enables us to systematically and quantitatively study whether and how the implicit hierarchical relationships of concepts are embedded into neurons. Specifically, HINT identifies collaborative neurons responsible for one concept and multimodal neurons pertinent to different concepts, at different semantic levels from concrete concepts (e.g., dog) to more abstract ones (e.g., animal). Finally, we verify the faithfulness of the associations using Weakly Supervised Object Localization, and demonstrate its applicability in various tasks, such as discovering saliency regions and explaining adversarial attacks. Code is available on https://github.com/AntonotnaWang/HINT.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "To interpret deep networks, one main approach is to associate neurons with human-understandable concepts. However, existing methods often ignore the inherent connections of different concepts (e.g., dog and cat both belong to animals), and thus lose the chance to explain neurons responsible for higher-level concepts (e.g., animal). In this paper, we study hierarchical concepts inspired by the hierarchical cognition process of human beings. To this end, we propose HIerarchical Neuron concepT explainer (HINT) to effectively build bidirectional associations between neurons and hierarchical concepts in a low-cost and scalable manner. HINT enables us to systematically and quantitatively study whether and how the implicit hierarchical relationships of concepts are embedded into neurons. Specifically, HINT identifies collaborative neurons responsible for one concept and multimodal neurons pertinent to different concepts, at different semantic levels from concrete concepts (e.g., dog) to more abstract ones (e.g., animal). Finally, we verify the faithfulness of the associations using Weakly Supervised Object Localization, and demonstrate its applicability in various tasks, such as discovering saliency regions and explaining adversarial attacks. Code is available on https://github.com/AntonotnaWang/HINT.",
"fno": "694600k0244",
"keywords": [
"Cognition",
"Neural Nets",
"HINT",
"Collaborative Neurons",
"Multimodal Neurons",
"Concrete Concepts",
"Human Understandable Concepts",
"Higher Level Concepts",
"Hierarchical Cognition Process",
"Hierarchical Neuron Concept Explainer",
"Supervised Object Localization",
"Location Awareness",
"Computer Vision",
"Codes",
"Neurons",
"Semantics",
"Collaboration",
"Dogs"
],
"authors": [
{
"affiliation": "The University of Hong Kong",
"fullName": "Andong Wang",
"givenName": "Andong",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "The University of Hong Kong",
"fullName": "Wei-Ning Lee",
"givenName": "Wei-Ning",
"surname": "Lee",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "The University of Hong Kong",
"fullName": "Xiaojuan Qi",
"givenName": "Xiaojuan",
"surname": "Qi",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-06-01T00:00:00",
"pubType": "proceedings",
"pages": "10244-10254",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-6946-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1H1hYGLA7As",
"name": "pcvpr202269460-09879164s1-mm_694600k0244.zip",
"size": "18.9 MB",
"location": "https://www.computer.org/csdl/api/v1/extra/pcvpr202269460-09879164s1-mm_694600k0244.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "694600k0234",
"articleId": "1H0LEsrE9La",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "694600k0255",
"articleId": "1H1itlIWCwo",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/grc/2012/2310/0/06468677",
"title": "Extracting hierarchical concept with cloud transform",
"doi": null,
"abstractUrl": "/proceedings-article/grc/2012/06468677/12OmNBOCWgL",
"parentPublication": {
"id": "proceedings/grc/2012/2310/0",
"title": "2012 IEEE International Conference on Granular Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2016/1552/0/07574665",
"title": "Improve dog recognition by mining more information from both click-through logs and pre-trained models",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2016/07574665/12OmNvonIKr",
"parentPublication": {
"id": "proceedings/icmew/2016/1552/0",
"title": "2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2017/1034/0/1034a126",
"title": "Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2017/1034a126/12OmNyvY9sc",
"parentPublication": {
"id": "proceedings/iccvw/2017/1034/0",
"title": "2017 IEEE International Conference on Computer Vision Workshop (ICCVW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200p5437",
"title": "HiFT: Hierarchical Feature Transformer for Aerial Tracking",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200p5437/1BmJtPhScNO",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2022/9221/0/922100a573",
"title": "DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2022/922100a573/1EmrTRBYVgI",
"parentPublication": {
"id": "proceedings/icse/2022/9221/0",
"title": "2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2022/6946/0/694600o4973",
"title": "Improving Adversarial Transferability via Neuron Attribution-based Attacks",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2022/694600o4973/1H1hUnBlWbC",
"parentPublication": {
"id": "proceedings/cvpr/2022/6946/0",
"title": "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2023/9346/0/934600e769",
"title": "Concept Correlation and Its Effects on Concept-Based Models",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2023/934600e769/1KxVhwaYPba",
"parentPublication": {
"id": "proceedings/wacv/2023/9346/0",
"title": "2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2019/4604/0/460400a806",
"title": "Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2019/460400a806/1h5XMiEOWsw",
"parentPublication": {
"id": "proceedings/icdm/2019/4604/0",
"title": "2019 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2020/3079/0/307900a566",
"title": "Face Attributes as Cues for Deep Face Recognition Understanding",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2020/307900a566/1kecII7F9Sw",
"parentPublication": {
"id": "proceedings/fg/2020/3079/0/",
"title": "2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) (FG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/01/09552879",
"title": "NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks",
"doi": null,
"abstractUrl": "/journal/tg/2022/01/09552879/1xibY2EaE80",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.