text stringlengths 493 2.1k | inputs dict | prediction null | prediction_agent null | annotation stringclasses 2
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class | explanation null | id stringlengths 36 36 | metadata null | status stringclasses 2
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classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TITLE: MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task
ABSTRACT: We present a machine sound dataset to benchmark domain generalization
techniques for anomalous sound detection (ASD). Domain shifts are differences
in data distributions that can ... | {
"abstract": "We present a machine sound dataset to benchmark domain generalization\ntechniques for anomalous sound detection (ASD). Domain shifts are differences\nin data distributions that can degrade the detection performance, and handling\nthem is a major issue for the application of ASD systems. While currently... | null | null | new_dataset | admin | null | false | null | df147356-9cb2-4184-836a-da7f9eb9ffee | null | Validated | 2023-10-04 15:19:51.886183 | {
"text_length": 1351
} | 0new_dataset |
TITLE: FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation
ABSTRACT: Previous research for adapting a general neural machine translation (NMT)
model into a specific domain usually neglects the diversity in translation
within the same domain, which is a core problem for domain ada... | {
"abstract": "Previous research for adapting a general neural machine translation (NMT)\nmodel into a specific domain usually neglects the diversity in translation\nwithin the same domain, which is a core problem for domain adaptation in\nreal-world scenarios. One representative of such challenging scenarios is to\n... | null | null | new_dataset | admin | null | false | null | 093eec3f-f3c0-4a6e-90a1-5da75de79b0e | null | Validated | 2023-10-04 15:19:51.896427 | {
"text_length": 1418
} | 0new_dataset |
TITLE: Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play
ABSTRACT: Effective Human-AI teaming requires the ability to communicate the goals of
the team and constraints under which you need the agent to operate. Providing
the ability to specify the shared intent or o... | {
"abstract": "Effective Human-AI teaming requires the ability to communicate the goals of\nthe team and constraints under which you need the agent to operate. Providing\nthe ability to specify the shared intent or operation criteria of the team can\nenable an AI agent to perform its primary function while still bein... | null | null | new_dataset | admin | null | false | null | f59375fa-83ae-406a-b541-3df9881bafce | null | Validated | 2023-10-04 15:19:51.884721 | {
"text_length": 1815
} | 0new_dataset |
TITLE: Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?
ABSTRACT: Accurate channel knowledge is critical in massive multiple-input
multiple-output (MIMO), which motivates the use of channel prediction. Machine
learning techniques for channel prediction hold much promise... | {
"abstract": "Accurate channel knowledge is critical in massive multiple-input\nmultiple-output (MIMO), which motivates the use of channel prediction. Machine\nlearning techniques for channel prediction hold much promise, but current\nschemes are limited in their ability to adapt to changes in the environment\nbecau... | null | null | no_new_dataset | admin | null | false | null | 60b9cb2d-7bc6-46ad-bc59-6a260bc9a069 | null | Validated | 2023-10-04 15:19:51.883475 | {
"text_length": 1214
} | 1no_new_dataset |
TITLE: The first large scale collection of diverse Hausa language datasets
ABSTRACT: Hausa language belongs to the Afroasiatic phylum, and with more
first-language speakers than any other sub-Saharan African language. With a
majority of its speakers residing in the Northern and Southern areas of Nigeria
and the Repub... | {
"abstract": "Hausa language belongs to the Afroasiatic phylum, and with more\nfirst-language speakers than any other sub-Saharan African language. With a\nmajority of its speakers residing in the Northern and Southern areas of Nigeria\nand the Republic of Niger, respectively, it is estimated that over 100 million\n... | null | null | new_dataset | admin | null | false | null | 67e5a5bc-1dd6-4a04-a495-5edcad1124a9 | null | Validated | 2023-10-04 15:19:51.895828 | {
"text_length": 1835
} | 0new_dataset |
TITLE: AI4D -- African Language Dataset Challenge
ABSTRACT: As language and speech technologies become more advanced, the lack of
fundamental digital resources for African languages, such as data, spell
checkers and Part of Speech taggers, means that the digital divide between
these languages and others keeps growing... | {
"abstract": "As language and speech technologies become more advanced, the lack of\nfundamental digital resources for African languages, such as data, spell\ncheckers and Part of Speech taggers, means that the digital divide between\nthese languages and others keeps growing. This work details the organisation of\nt... | null | null | no_new_dataset | admin | null | false | null | 67f9a208-7b03-4f42-8fe2-9b9b2e41fc39 | null | Validated | 2023-10-04 15:19:51.899069 | {
"text_length": 694
} | 1no_new_dataset |
TITLE: Dataset Inference for Self-Supervised Models
ABSTRACT: Self-supervised models are increasingly prevalent in machine learning (ML)
since they reduce the need for expensively labeled data. Because of their
versatility in downstream applications, they are increasingly used as a service
exposed via public APIs. At... | {
"abstract": "Self-supervised models are increasingly prevalent in machine learning (ML)\nsince they reduce the need for expensively labeled data. Because of their\nversatility in downstream applications, they are increasingly used as a service\nexposed via public APIs. At the same time, these encoder models are\npa... | null | null | new_dataset | admin | null | false | null | a25da927-354a-4a13-abe1-5a0df043c8e7 | null | Validated | 2023-10-04 15:19:51.883979 | {
"text_length": 1467
} | 0new_dataset |
TITLE: Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
ABSTRACT: Machine learning datasets have elicited concerns about privacy, bias, and
unethical applications, leading to the retraction of prominent datasets such as
DukeMTMC, MS-Celeb-1M, and Tiny Images. In response, the machine learning
c... | {
"abstract": "Machine learning datasets have elicited concerns about privacy, bias, and\nunethical applications, leading to the retraction of prominent datasets such as\nDukeMTMC, MS-Celeb-1M, and Tiny Images. In response, the machine learning\ncommunity has called for higher ethical standards in dataset creation. T... | null | null | no_new_dataset | admin | null | false | null | 3f3fa599-cb03-4fc3-8f64-dd0bee62afc1 | null | Validated | 2023-10-04 15:19:51.893075 | {
"text_length": 974
} | 1no_new_dataset |
TITLE: An annotated instance segmentation XXL-CT dataset from a historic airplane
ABSTRACT: The Me 163 was a Second World War fighter airplane and a result of the German
air force secret developments. One of these airplanes is currently owned and
displayed in the historic aircraft exhibition of the Deutsches Museum i... | {
"abstract": "The Me 163 was a Second World War fighter airplane and a result of the German\nair force secret developments. One of these airplanes is currently owned and\ndisplayed in the historic aircraft exhibition of the Deutsches Museum in\nMunich, Germany. To gain insights with respect to its history, design an... | null | null | new_dataset | admin | null | false | null | 226c7620-2e37-4e2b-8168-ee779d5451c9 | null | Validated | 2023-10-04 15:19:51.882096 | {
"text_length": 1870
} | 0new_dataset |
TITLE: Healthsheet: Development of a Transparency Artifact for Health Datasets
ABSTRACT: Machine learning (ML) approaches have demonstrated promising results in a
wide range of healthcare applications. Data plays a crucial role in developing
ML-based healthcare systems that directly affect people's lives. Many of the... | {
"abstract": "Machine learning (ML) approaches have demonstrated promising results in a\nwide range of healthcare applications. Data plays a crucial role in developing\nML-based healthcare systems that directly affect people's lives. Many of the\nethical issues surrounding the use of ML in healthcare stem from struc... | null | null | no_new_dataset | admin | null | false | null | 11460e75-a3e1-47e4-b475-05f92c8cf564 | null | Validated | 2023-10-04 15:19:51.888075 | {
"text_length": 1803
} | 1no_new_dataset |
TITLE: The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
ABSTRACT: We present Belebele, a multiple-choice machine reading comprehension (MRC)
dataset spanning 122 language variants. Significantly expanding the language
coverage of natural language understanding (NLU) benchmarks... | {
"abstract": "We present Belebele, a multiple-choice machine reading comprehension (MRC)\ndataset spanning 122 language variants. Significantly expanding the language\ncoverage of natural language understanding (NLU) benchmarks, this dataset\nenables the evaluation of text models in high-, medium-, and low-resource\... | null | null | new_dataset | admin | null | false | null | 17559566-dcdb-4a3a-98ff-470dd30b9926 | null | Validated | 2023-10-04 15:19:51.863888 | {
"text_length": 1466
} | 0new_dataset |
TITLE: PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
ABSTRACT: We introduce a high-quality and large-scale Vietnamese-English parallel
dataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark
Vietnamese-English machine translation corpus IWSLT... | {
"abstract": "We introduce a high-quality and large-scale Vietnamese-English parallel\ndataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark\nVietnamese-English machine translation corpus IWSLT15. We conduct experiments\ncomparing strong neural baselines and well-known automatic translation ... | null | null | new_dataset | admin | null | false | null | 085dc921-4f42-481f-b8b9-cfa30fecde31 | null | Validated | 2023-10-04 15:19:51.890247 | {
"text_length": 883
} | 0new_dataset |
TITLE: Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
ABSTRACT: Recent works have found evidence of gender bias in models of machine
translation and coreference resolution using mostly synthetic diagnostic
datasets. While these quantify bias in a controlled experiment,... | {
"abstract": "Recent works have found evidence of gender bias in models of machine\ntranslation and coreference resolution using mostly synthetic diagnostic\ndatasets. While these quantify bias in a controlled experiment, they often do\nso on a small scale and consist mostly of artificial, out-of-distribution\nsente... | null | null | new_dataset | admin | null | false | null | 10fbc559-79e6-4fc6-8480-915d311b510a | null | Validated | 2023-10-04 15:19:51.892219 | {
"text_length": 1370
} | 0new_dataset |
TITLE: Benchmark tests of atom segmentation deep learning models with a consistent dataset
ABSTRACT: The information content of atomic resolution scanning transmission electron
microscopy (STEM) images can often be reduced to a handful of parameters
describing each atomic column, chief amongst which is the column pos... | {
"abstract": "The information content of atomic resolution scanning transmission electron\nmicroscopy (STEM) images can often be reduced to a handful of parameters\ndescribing each atomic column, chief amongst which is the column position.\nNeural networks (NNs) are a high performance, computationally efficient meth... | null | null | no_new_dataset | admin | null | false | null | ab7f850f-32e2-4af5-943a-e0a0ce1ede50 | null | Validated | 2023-10-04 15:19:51.885199 | {
"text_length": 1213
} | 1no_new_dataset |
TITLE: BrazilDAM: A Benchmark dataset for Tailings Dam Detection
ABSTRACT: In this work we present BrazilDAM, a novel public dataset based on Sentinel-2
and Landsat-8 satellite images covering all tailings dams cataloged by the
Brazilian National Mining Agency (ANM). The dataset was built using
georeferenced images f... | {
"abstract": "In this work we present BrazilDAM, a novel public dataset based on Sentinel-2\nand Landsat-8 satellite images covering all tailings dams cataloged by the\nBrazilian National Mining Agency (ANM). The dataset was built using\ngeoreferenced images from 769 dams, recorded between 2016 and 2019. The time\ns... | null | null | new_dataset | admin | null | false | null | df34d82e-ae49-42db-b2cc-daf65dee09d6 | null | Validated | 2023-10-04 15:19:51.901374 | {
"text_length": 1271
} | 0new_dataset |
TITLE: MMASD: A Multimodal Dataset for Autism Intervention Analysis
ABSTRACT: Autism spectrum disorder (ASD) is a developmental disorder characterized by
significant social communication impairments and difficulties perceiving and
presenting communication cues. Machine learning techniques have been broadly
adopted to... | {
"abstract": "Autism spectrum disorder (ASD) is a developmental disorder characterized by\nsignificant social communication impairments and difficulties perceiving and\npresenting communication cues. Machine learning techniques have been broadly\nadopted to facilitate autism studies and assessments. However, computa... | null | null | new_dataset | admin | null | false | null | 02df4219-2477-44e6-9c43-32d640964a80 | null | Validated | 2023-10-04 15:19:51.871076 | {
"text_length": 1620
} | 0new_dataset |
TITLE: PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels
ABSTRACT: Allowing organizations to share their data for training of machine learning
(ML) models without unintended information leakage is an open problem in
practice. A promising technique for this still-open problem is to train models
... | {
"abstract": "Allowing organizations to share their data for training of machine learning\n(ML) models without unintended information leakage is an open problem in\npractice. A promising technique for this still-open problem is to train models\non the encoded data. Our approach, called Privately Encoded Open Dataset... | null | null | no_new_dataset | admin | null | false | null | 159e2249-b5f9-4f5c-bced-d3c8106f4bc3 | null | Validated | 2023-10-04 15:19:51.880122 | {
"text_length": 1481
} | 1no_new_dataset |
TITLE: Design and Development of Rule-based open-domain Question-Answering System on SQuAD v2.0 Dataset
ABSTRACT: Human mind is the palace of curious questions that seek answers.
Computational resolution of this challenge is possible through Natural Language
Processing techniques. Statistical techniques like machine ... | {
"abstract": "Human mind is the palace of curious questions that seek answers.\nComputational resolution of this challenge is possible through Natural Language\nProcessing techniques. Statistical techniques like machine learning and deep\nlearning require a lot of data to train and despite that they fail to tap into... | null | null | no_new_dataset | admin | null | false | null | 1d73d664-2fb8-406d-a3df-5a5e29cbd5ce | null | Validated | 2023-10-04 15:19:51.887406 | {
"text_length": 916
} | 1no_new_dataset |
TITLE: Dataset Condensation with Gradient Matching
ABSTRACT: As the state-of-the-art machine learning methods in many fields rely on
larger datasets, storing datasets and training models on them become
significantly more expensive. This paper proposes a training set synthesis
technique for data-efficient learning, ca... | {
"abstract": "As the state-of-the-art machine learning methods in many fields rely on\nlarger datasets, storing datasets and training models on them become\nsignificantly more expensive. This paper proposes a training set synthesis\ntechnique for data-efficient learning, called Dataset Condensation, that learns\nto ... | null | null | no_new_dataset | admin | null | false | null | 64690501-3341-418f-b282-da7220d9880d | null | Validated | 2023-10-04 15:19:51.899731 | {
"text_length": 991
} | 1no_new_dataset |
TITLE: Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction Prediction and Synthesis Design
ABSTRACT: Datasets in the Natural Sciences are often curated with the goal of aiding
scientific understanding and hence may not always be in a form that facilitates
the application of machine learning. In th... | {
"abstract": "Datasets in the Natural Sciences are often curated with the goal of aiding\nscientific understanding and hence may not always be in a form that facilitates\nthe application of machine learning. In this paper, we identify three trends\nwithin the fields of chemical reaction prediction and synthesis desi... | null | null | no_new_dataset | admin | null | false | null | 339ffb47-739d-4717-b6c9-d3ddf45f62c7 | null | Validated | 2023-10-04 15:19:51.894665 | {
"text_length": 1321
} | 1no_new_dataset |
TITLE: Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims
ABSTRACT: False information has a significant negative influence on individuals as well
as on the whole society. Especially in the current COVID-19 era, we witness an
unprecedented growth of medical misinformation. To help tackle th... | {
"abstract": "False information has a significant negative influence on individuals as well\nas on the whole society. Especially in the current COVID-19 era, we witness an\nunprecedented growth of medical misinformation. To help tackle this problem\nwith machine learning approaches, we are publishing a feature-rich ... | null | null | new_dataset | admin | null | false | null | 9c10bba4-0302-4a4b-ba29-f59f25d38f86 | null | Validated | 2023-10-04 15:19:51.886869 | {
"text_length": 1033
} | 0new_dataset |
TITLE: Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation
ABSTRACT: In this paper, we focus on how current Machine Translation (MT) tools perform
on the translation of emotion-loaded texts by evaluating outpu... | {
"abstract": "In this paper, we focus on how current Machine Translation (MT) tools perform\non the translation of emotion-loaded texts by evaluating outputs from Google\nTranslate according to a framework proposed in this paper. We propose this\nevaluation framework based on the Multidimensional Quality Metrics (MQ... | null | null | new_dataset | admin | null | false | null | 17992f71-bba4-4950-880a-8c6c1295bde9 | null | Validated | 2023-10-04 15:19:51.870234 | {
"text_length": 858
} | 0new_dataset |
TITLE: A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering
ABSTRACT: Legislation can be viewed as a body of prescriptive rules expressed in
natural language. The application of legislation to facts of a case we refer to
as statutory reasoning, where those facts are also expressed in natural... | {
"abstract": "Legislation can be viewed as a body of prescriptive rules expressed in\nnatural language. The application of legislation to facts of a case we refer to\nas statutory reasoning, where those facts are also expressed in natural\nlanguage. Computational statutory reasoning is distinct from most existing wo... | null | null | new_dataset | admin | null | false | null | aab60b27-f2f1-4c7f-abed-f9b8651b53a0 | null | Validated | 2023-10-04 15:19:51.899998 | {
"text_length": 1343
} | 0new_dataset |
TITLE: A Dataset-Level Geometric Framework for Ensemble Classifiers
ABSTRACT: Ensemble classifiers have been investigated by many in the artificial
intelligence and machine learning community. Majority voting and weighted
majority voting are two commonly used combination schemes in ensemble learning.
However, underst... | {
"abstract": "Ensemble classifiers have been investigated by many in the artificial\nintelligence and machine learning community. Majority voting and weighted\nmajority voting are two commonly used combination schemes in ensemble learning.\nHowever, understanding of them is incomplete at best, with some properties e... | null | null | no_new_dataset | admin | null | false | null | 359c0495-400f-4ad8-b7e1-efae79e4d313 | null | Validated | 2023-10-04 15:19:51.894192 | {
"text_length": 1600
} | 1no_new_dataset |
TITLE: BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
ABSTRACT: Recent advances in deep learning techniques have enabled machines to generate
cohesive open-ended text when prompted with a sequence of words as context.
While these models now empower many downstream applications from c... | {
"abstract": "Recent advances in deep learning techniques have enabled machines to generate\ncohesive open-ended text when prompted with a sequence of words as context.\nWhile these models now empower many downstream applications from conversation\nbots to automatic storytelling, they have been shown to generate tex... | null | null | new_dataset | admin | null | false | null | 454b438c-a6dd-43f3-9eeb-77caa589922f | null | Validated | 2023-10-04 15:19:51.896133 | {
"text_length": 1365
} | 0new_dataset |
TITLE: Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
ABSTRACT: Heart failure (HF) is a critical condition in which the accurate prediction
of mortality plays a vital role in guiding patient management decisions.
However, clinical datasets us... | {
"abstract": "Heart failure (HF) is a critical condition in which the accurate prediction\nof mortality plays a vital role in guiding patient management decisions.\nHowever, clinical datasets used for mortality prediction in HF often suffer\nfrom an imbalanced distribution of classes, posing significant challenges. ... | null | null | no_new_dataset | admin | null | false | null | 49bfecdd-c83c-4347-b136-72300d5ee06c | null | Validated | 2023-10-04 15:19:51.862912 | {
"text_length": 1514
} | 1no_new_dataset |
TITLE: Multi-feature Dataset for Windows PE Malware Classification
ABSTRACT: This paper describes a multi-feature dataset for training machine learning
classifiers for detecting malicious Windows Portable Executable (PE) files. The
dataset includes four feature sets from 18,551 binary samples belonging to five
malwar... | {
"abstract": "This paper describes a multi-feature dataset for training machine learning\nclassifiers for detecting malicious Windows Portable Executable (PE) files. The\ndataset includes four feature sets from 18,551 binary samples belonging to five\nmalware families including Spyware, Ransomware, Downloader, Backd... | null | null | new_dataset | admin | null | false | null | 59ca26fc-a4b8-4f78-94dd-16d31625ab97 | null | Validated | 2023-10-04 15:19:51.883255 | {
"text_length": 908
} | 0new_dataset |
TITLE: METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets
ABSTRACT: The COVID-19 pandemic continues to bring up various topics discussed or
debated on social media. In order to explore the impact of pandemics on
people's lives, it is crucial to understand the public's concerns and... | {
"abstract": "The COVID-19 pandemic continues to bring up various topics discussed or\ndebated on social media. In order to explore the impact of pandemics on\npeople's lives, it is crucial to understand the public's concerns and attitudes\ntowards pandemic-related entities (e.g., drugs, vaccines) on social media.\n... | null | null | new_dataset | admin | null | false | null | 401077d3-09e9-4b72-914e-7e0d65b3e45d | null | Validated | 2023-10-04 15:19:51.883760 | {
"text_length": 1979
} | 0new_dataset |
TITLE: An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
ABSTRACT: Precise and efficient automated identification of Gastrointestinal (GI) tract
diseases can help doctors treat more patients and improve the ... | {
"abstract": "Precise and efficient automated identification of Gastrointestinal (GI) tract\ndiseases can help doctors treat more patients and improve the rate of disease\ndetection and identification. Currently, automatic analysis of diseases in the\nGI tract is a hot topic in both computer science and medical-rela... | null | null | no_new_dataset | admin | null | false | null | a21c3561-2dd3-4a4c-9790-b694c72641e3 | null | Validated | 2023-10-04 15:19:51.900094 | {
"text_length": 2111
} | 1no_new_dataset |
TITLE: Intrinsic Bias Identification on Medical Image Datasets
ABSTRACT: Machine learning based medical image analysis highly depends on datasets.
Biases in the dataset can be learned by the model and degrade the
generalizability of the applications. There are studies on debiased models.
However, scientists and pract... | {
"abstract": "Machine learning based medical image analysis highly depends on datasets.\nBiases in the dataset can be learned by the model and degrade the\ngeneralizability of the applications. There are studies on debiased models.\nHowever, scientists and practitioners are difficult to identify implicit biases\nin ... | null | null | no_new_dataset | admin | null | false | null | 55e2a4bf-c990-4bbd-8bdd-7ec9dca77f04 | null | Validated | 2023-10-04 15:19:51.887499 | {
"text_length": 1027
} | 1no_new_dataset |
TITLE: Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
ABSTRACT: Trajectory data analysis is an essential component for highly automated
driving. Complex models developed with these data predict other road users'
movement and behavior patterns. Based on these pred... | {
"abstract": "Trajectory data analysis is an essential component for highly automated\ndriving. Complex models developed with these data predict other road users'\nmovement and behavior patterns. Based on these predictions - and additional\ncontextual information such as the course of the road, (traffic) rules, and\... | null | null | no_new_dataset | admin | null | false | null | 62c45eb5-fb7e-4161-9927-0f3104cea3d9 | null | Validated | 2023-10-04 15:19:51.883452 | {
"text_length": 1401
} | 1no_new_dataset |
TITLE: Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets
ABSTRACT: Sentiment analysis aims to extract people's emotions and opinion from their
comments on the web. It widely used in businesses to detect sentiment in social
data, gauge brand reputation, and understand customers. Mos... | {
"abstract": "Sentiment analysis aims to extract people's emotions and opinion from their\ncomments on the web. It widely used in businesses to detect sentiment in social\ndata, gauge brand reputation, and understand customers. Most of articles in\nthis area have concentrated on the English language whereas there ar... | null | null | no_new_dataset | admin | null | false | null | 28a03d50-7c85-4a8b-aea1-a81c38f5012b | null | Validated | 2023-10-04 15:19:51.882940 | {
"text_length": 1311
} | 1no_new_dataset |
TITLE: Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications
ABSTRACT: In the rapidly evolving field of medical imaging, machine learning algorithms
have become indispensable for enhancing diagnostic accuracy. However, the
effectiveness of these algorithms is contingent upon the av... | {
"abstract": "In the rapidly evolving field of medical imaging, machine learning algorithms\nhave become indispensable for enhancing diagnostic accuracy. However, the\neffectiveness of these algorithms is contingent upon the availability and\norganization of high-quality medical imaging datasets. Traditional Digital... | null | null | no_new_dataset | admin | null | false | null | 804eb9d6-26b6-4a2f-bf61-c8edbaa10136 | null | Validated | 2023-10-04 15:19:51.862964 | {
"text_length": 1782
} | 1no_new_dataset |
TITLE: Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset
ABSTRACT: In recent years, the industrial sector has evolved towards its fourth
revolution. The quality control domain is particularly interested in advanced
machine learning for computer vision anomaly detection. Nevertheless, s... | {
"abstract": "In recent years, the industrial sector has evolved towards its fourth\nrevolution. The quality control domain is particularly interested in advanced\nmachine learning for computer vision anomaly detection. Nevertheless, several\nchallenges have to be faced, including imbalanced datasets, the image\ncom... | null | null | no_new_dataset | admin | null | false | null | e6b2a322-86eb-4355-8402-7dd4c71442ba | null | Validated | 2023-10-04 15:19:51.882652 | {
"text_length": 1169
} | 1no_new_dataset |
TITLE: Synthetic Dataset Generation for Privacy-Preserving Machine Learning
ABSTRACT: Machine Learning (ML) has achieved enormous success in solving a variety of
problems in computer vision, speech recognition, object detection, to name a
few. The principal reason for this success is the availability of huge datasets... | {
"abstract": "Machine Learning (ML) has achieved enormous success in solving a variety of\nproblems in computer vision, speech recognition, object detection, to name a\nfew. The principal reason for this success is the availability of huge datasets\nfor training deep neural networks (DNNs). However, datasets can not... | null | null | no_new_dataset | admin | null | false | null | 7aea2fea-96db-4732-8496-7f4da428882c | null | Validated | 2023-10-04 15:19:51.883665 | {
"text_length": 1580
} | 1no_new_dataset |
TITLE: A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID
ABSTRACT: This paper presents the largest publicly available, non-simulated, fleet-wide
aircraft flight recording and maintenance log data for use in predicting part
failure and maintenance need. We present 31,177 hou... | {
"abstract": "This paper presents the largest publicly available, non-simulated, fleet-wide\naircraft flight recording and maintenance log data for use in predicting part\nfailure and maintenance need. We present 31,177 hours of flight data across\n28,935 flights, which occur relative to 2,111 unplanned maintenance ... | null | null | new_dataset | admin | null | false | null | 30c6cddb-32c6-4d1c-b1a7-c489d11229df | null | Validated | 2023-10-04 15:19:51.883498 | {
"text_length": 1669
} | 0new_dataset |
TITLE: MSCTD: A Multimodal Sentiment Chat Translation Dataset
ABSTRACT: Multimodal machine translation and textual chat translation have received
considerable attention in recent years. Although the conversation in its
natural form is usually multimodal, there still lacks work on multimodal
machine translation in con... | {
"abstract": "Multimodal machine translation and textual chat translation have received\nconsiderable attention in recent years. Although the conversation in its\nnatural form is usually multimodal, there still lacks work on multimodal\nmachine translation in conversations. In this work, we introduce a new task\nnam... | null | null | new_dataset | admin | null | false | null | 3645a88e-a862-4859-9224-ee3afba8a77e | null | Validated | 2023-10-04 15:19:51.887997 | {
"text_length": 1503
} | 0new_dataset |
TITLE: A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication
ABSTRACT: Datasets are central to training machine learning (ML) models. The ML
community has recently made significant improvements to data stewardship and
documentation practices across the model development ... | {
"abstract": "Datasets are central to training machine learning (ML) models. The ML\ncommunity has recently made significant improvements to data stewardship and\ndocumentation practices across the model development life cycle. However, the\nact of deprecating, or deleting, datasets has been largely overlooked, and\... | null | null | no_new_dataset | admin | null | false | null | 488a7ea5-1bd8-441c-947b-e4bb82531a6d | null | Validated | 2023-10-04 15:19:51.890320 | {
"text_length": 1313
} | 1no_new_dataset |
TITLE: Analyzing Dataset Annotation Quality Management in the Wild
ABSTRACT: Data quality is crucial for training accurate, unbiased, and trustworthy
machine learning models and their correct evaluation. Recent works, however,
have shown that even popular datasets used to train and evaluate
state-of-the-art models co... | {
"abstract": "Data quality is crucial for training accurate, unbiased, and trustworthy\nmachine learning models and their correct evaluation. Recent works, however,\nhave shown that even popular datasets used to train and evaluate\nstate-of-the-art models contain a non-negligible amount of erroneous\nannotations, bi... | null | null | no_new_dataset | admin | null | false | null | e8ea3607-9223-4b42-8dd7-16daef1cefd2 | null | Validated | 2023-10-04 15:19:51.867080 | {
"text_length": 1475
} | 1no_new_dataset |
TITLE: Elements of effective machine learning datasets in astronomy
ABSTRACT: In this work, we identify elements of effective machine learning datasets in
astronomy and present suggestions for their design and creation. Machine
learning has become an increasingly important tool for analyzing and
understanding the lar... | {
"abstract": "In this work, we identify elements of effective machine learning datasets in\nastronomy and present suggestions for their design and creation. Machine\nlearning has become an increasingly important tool for analyzing and\nunderstanding the large-scale flood of data in astronomy. To take advantage of\nt... | null | null | no_new_dataset | admin | null | false | null | 10f51720-501d-4239-a327-860125199b8a | null | Validated | 2023-10-04 15:19:51.882629 | {
"text_length": 1327
} | 1no_new_dataset |
TITLE: MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge
ABSTRACT: The widespread diffusion of connected smart devices has contributed to the
rapid expansion and evolution of the Internet at its edge. Personal mobile
devices interact with other smart objects in their su... | {
"abstract": "The widespread diffusion of connected smart devices has contributed to the\nrapid expansion and evolution of the Internet at its edge. Personal mobile\ndevices interact with other smart objects in their surroundings, adapting\nbehavior based on rapidly changing user context. The ability of mobile devic... | null | null | new_dataset | admin | null | false | null | 838c9801-0d70-4eb5-a7ca-3dd90d2bd5d3 | null | Validated | 2023-10-04 15:19:51.869311 | {
"text_length": 1785
} | 0new_dataset |
TITLE: Grain and Grain Boundary Segmentation using Machine Learning with Real and Generated Datasets
ABSTRACT: We report significantly improved accuracy of grain boundary segmentation
using Convolutional Neural Networks (CNN) trained on a combination of real and
generated data. Manual segmentation is accurate but tim... | {
"abstract": "We report significantly improved accuracy of grain boundary segmentation\nusing Convolutional Neural Networks (CNN) trained on a combination of real and\ngenerated data. Manual segmentation is accurate but time-consuming, and\nexisting computational methods are faster but often inaccurate. To combat th... | null | null | new_dataset | admin | null | false | null | 4c7dc54c-eb35-4d8d-92ff-a20b7733d2c9 | null | Validated | 2023-10-04 15:19:51.867523 | {
"text_length": 1554
} | 0new_dataset |
TITLE: EPIE Dataset: A Corpus For Possible Idiomatic Expressions
ABSTRACT: Idiomatic expressions have always been a bottleneck for language
comprehension and natural language understanding, specifically for tasks like
Machine Translation(MT). MT systems predominantly produce literal translations
of idiomatic expressi... | {
"abstract": "Idiomatic expressions have always been a bottleneck for language\ncomprehension and natural language understanding, specifically for tasks like\nMachine Translation(MT). MT systems predominantly produce literal translations\nof idiomatic expressions as they do not exhibit generic and linguistically\nde... | null | null | new_dataset | admin | null | false | null | b472efe6-92a7-4ee1-a3dc-fe47bada5979 | null | Validated | 2023-10-04 15:19:51.899564 | {
"text_length": 1556
} | 0new_dataset |
TITLE: A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets
ABSTRACT: A machine can understand human activities, and the meaning of signs can help
overcome the communication barriers between the inaudible and ordinary people.
Sign Language Recognition (SLR) is a fascinating r... | {
"abstract": "A machine can understand human activities, and the meaning of signs can help\novercome the communication barriers between the inaudible and ordinary people.\nSign Language Recognition (SLR) is a fascinating research area and a crucial\ntask concerning computer vision and pattern recognition. Recently, ... | null | null | no_new_dataset | admin | null | false | null | be84e115-3d65-404e-b8a7-ac6c5e79679c | null | Validated | 2023-10-04 15:19:51.887188 | {
"text_length": 1231
} | 1no_new_dataset |
TITLE: A universal synthetic dataset for machine learning on spectroscopic data
ABSTRACT: To assist in the development of machine learning methods for automated
classification of spectroscopic data, we have generated a universal synthetic
dataset that can be used for model validation. This dataset contains artificial... | {
"abstract": "To assist in the development of machine learning methods for automated\nclassification of spectroscopic data, we have generated a universal synthetic\ndataset that can be used for model validation. This dataset contains artificial\nspectra designed to represent experimental measurements from techniques... | null | null | new_dataset | admin | null | false | null | 3b5aa46c-1600-414e-96b9-4f0a87a2e7ba | null | Validated | 2023-10-04 15:19:51.885819 | {
"text_length": 1201
} | 0new_dataset |
TITLE: t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
ABSTRACT: Inspired by the recent achievements of machine learning in diverse domains,
data-driven metamaterials design has emerged as a compelling paradigm that can
unlock the potential of multiscale architectures. ... | {
"abstract": "Inspired by the recent achievements of machine learning in diverse domains,\ndata-driven metamaterials design has emerged as a compelling paradigm that can\nunlock the potential of multiscale architectures. The model-centric research\ntrend, however, lacks principled frameworks dedicated to data acquis... | null | null | no_new_dataset | admin | null | false | null | fc0df2fa-78eb-41e5-8564-42530e2b3306 | null | Validated | 2023-10-04 15:19:51.888171 | {
"text_length": 1664
} | 1no_new_dataset |
TITLE: Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
ABSTRACT: Data is the engine of modern computer vision, which necessitates collecting
large-scale datasets. This is expensive, and guaranteeing the quality of the
labels is a major challenge. In this paper, we investiga... | {
"abstract": "Data is the engine of modern computer vision, which necessitates collecting\nlarge-scale datasets. This is expensive, and guaranteeing the quality of the\nlabels is a major challenge. In this paper, we investigate efficient annotation\nstrategies for collecting multi-class classification labels for a l... | null | null | no_new_dataset | admin | null | false | null | 4893023b-7647-41ee-94e6-fe21bae5167c | null | Validated | 2023-10-04 15:19:51.894837 | {
"text_length": 1568
} | 1no_new_dataset |
TITLE: MultiWOZ-DF -- A Dataflow implementation of the MultiWOZ dataset
ABSTRACT: Semantic Machines (SM) have introduced the use of the dataflow (DF) paradigm
to dialogue modelling, using computational graphs to hierarchically represent
user requests, data, and the dialogue history [Semantic Machines et al. 2020].
Al... | {
"abstract": "Semantic Machines (SM) have introduced the use of the dataflow (DF) paradigm\nto dialogue modelling, using computational graphs to hierarchically represent\nuser requests, data, and the dialogue history [Semantic Machines et al. 2020].\nAlthough the main focus of that paper was the SMCalFlow dataset (t... | null | null | no_new_dataset | admin | null | false | null | 179b9cff-02d5-4dec-9f40-b2cd7e6d34eb | null | Validated | 2023-10-04 15:19:51.883091 | {
"text_length": 1074
} | 1no_new_dataset |
TITLE: Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis
ABSTRACT: The shape and motion of the heart provide essential clues to understanding
the mechanisms of cardiovascular disease. With the advent of large-scale
cardiac imaging data, statistical atlases become a powerf... | {
"abstract": "The shape and motion of the heart provide essential clues to understanding\nthe mechanisms of cardiovascular disease. With the advent of large-scale\ncardiac imaging data, statistical atlases become a powerful tool to provide\nautomated and precise quantification of the status of patient-specific heart... | null | null | no_new_dataset | admin | null | false | null | 342c5e74-710d-4ba1-856e-60281de6d495 | null | Validated | 2023-10-04 15:19:51.890198 | {
"text_length": 1840
} | 1no_new_dataset |
TITLE: SODA: Site Object Detection dAtaset for Deep Learning in Construction
ABSTRACT: Computer vision-based deep learning object detection algorithms have been
developed sufficiently powerful to support the ability to recognize various
objects. Although there are currently general datasets for object detection,
ther... | {
"abstract": "Computer vision-based deep learning object detection algorithms have been\ndeveloped sufficiently powerful to support the ability to recognize various\nobjects. Although there are currently general datasets for object detection,\nthere is still a lack of large-scale, open-source dataset for the constru... | null | null | new_dataset | admin | null | false | null | 6f4cd0f4-268f-4df4-a1e0-0ca594115151 | null | Validated | 2023-10-04 15:19:51.888195 | {
"text_length": 1759
} | 0new_dataset |
TITLE: Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
ABSTRACT: This paper presents two wireless measurement campaigns in industrial
testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial
Vehicle-to-infrastructure plus Sensor (iV2I+), together with detailed
informat... | {
"abstract": "This paper presents two wireless measurement campaigns in industrial\ntestbeds: industrial Vehicle-to-vehicle (iV2V) and industrial\nVehicle-to-infrastructure plus Sensor (iV2I+), together with detailed\ninformation about the two captured datasets. iV2V covers sidelink communication\nscenarios between ... | null | null | no_new_dataset | admin | null | false | null | 62494be6-a749-4668-a401-35235b795f1c | null | Validated | 2023-10-04 15:19:51.881972 | {
"text_length": 971
} | 1no_new_dataset |
TITLE: Ensemble Classifier Design Tuned to Dataset Characteristics for Network Intrusion Detection
ABSTRACT: Machine Learning-based supervised approaches require highly customized and
fine-tuned methodologies to deliver outstanding performance. This paper
presents a dataset-driven design and performance evaluation of... | {
"abstract": "Machine Learning-based supervised approaches require highly customized and\nfine-tuned methodologies to deliver outstanding performance. This paper\npresents a dataset-driven design and performance evaluation of a machine\nlearning classifier for the network intrusion dataset UNSW-NB15. Analysis of\nth... | null | null | no_new_dataset | admin | null | false | null | 294e3ef9-22f8-4432-b3ca-4adecd5eff00 | null | Validated | 2023-10-04 15:19:51.886562 | {
"text_length": 1498
} | 1no_new_dataset |
TITLE: Interactive exploration of population scale pharmacoepidemiology datasets
ABSTRACT: Population-scale drug prescription data linked with adverse drug reaction
(ADR) data supports the fitting of models large enough to detect drug use and
ADR patterns that are not detectable using traditional methods on smaller
d... | {
"abstract": "Population-scale drug prescription data linked with adverse drug reaction\n(ADR) data supports the fitting of models large enough to detect drug use and\nADR patterns that are not detectable using traditional methods on smaller\ndatasets. However, detecting ADR patterns in large datasets requires tools... | null | null | no_new_dataset | admin | null | false | null | 79e087ae-beb5-4265-9a86-b2c8d9d5e6aa | null | Validated | 2023-10-04 15:19:51.899903 | {
"text_length": 1511
} | 1no_new_dataset |
TITLE: Is augmentation effective to improve prediction in imbalanced text datasets?
ABSTRACT: Imbalanced datasets present a significant challenge for machine learning
models, often leading to biased predictions. To address this issue, data
augmentation techniques are widely used in natural language processing (NLP) t... | {
"abstract": "Imbalanced datasets present a significant challenge for machine learning\nmodels, often leading to biased predictions. To address this issue, data\naugmentation techniques are widely used in natural language processing (NLP) to\ngenerate new samples for the minority class. However, in this paper, we\nc... | null | null | no_new_dataset | admin | null | false | null | 557d240f-f5e9-435f-9fa6-fce550c90c05 | null | Validated | 2023-10-04 15:19:51.879827 | {
"text_length": 993
} | 1no_new_dataset |
TITLE: GECTurk: Grammatical Error Correction and Detection Dataset for Turkish
ABSTRACT: Grammatical Error Detection and Correction (GEC) tools have proven useful for
native speakers and second language learners. Developing such tools requires a
large amount of parallel, annotated data, which is unavailable for most
... | {
"abstract": "Grammatical Error Detection and Correction (GEC) tools have proven useful for\nnative speakers and second language learners. Developing such tools requires a\nlarge amount of parallel, annotated data, which is unavailable for most\nlanguages. Synthetic data generation is a common practice to overcome t... | null | null | new_dataset | admin | null | false | null | 3ebdf7a8-8877-444a-95ef-591a72f782ed | null | Validated | 2023-10-04 15:19:51.863395 | {
"text_length": 1700
} | 0new_dataset |
TITLE: OpenEDS2020: Open Eyes Dataset
ABSTRACT: We present the second edition of OpenEDS dataset, OpenEDS2020, a novel
dataset of eye-image sequences captured at a frame rate of 100 Hz under
controlled illumination, using a virtual-reality head-mounted display mounted
with two synchronized eye-facing cameras. The dat... | {
"abstract": "We present the second edition of OpenEDS dataset, OpenEDS2020, a novel\ndataset of eye-image sequences captured at a frame rate of 100 Hz under\ncontrolled illumination, using a virtual-reality head-mounted display mounted\nwith two synchronized eye-facing cameras. The dataset, which is anonymized to\n... | null | null | new_dataset | admin | null | false | null | 3c91fcb2-627f-4f30-888a-f6e3fa315c73 | null | Validated | 2023-10-04 15:19:51.900118 | {
"text_length": 1632
} | 0new_dataset |
TITLE: More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering
ABSTRACT: Textual Question Answering (QA) aims to provide precise answers to user's
questions in natural language using unstructured data. One of the most popular
approaches to this goal is machine reading comprehen... | {
"abstract": "Textual Question Answering (QA) aims to provide precise answers to user's\nquestions in natural language using unstructured data. One of the most popular\napproaches to this goal is machine reading comprehension(MRC). In recent years,\nmany novel datasets and evaluation metrics based on classical MRC t... | null | null | no_new_dataset | admin | null | false | null | 5df667ab-c5c7-4727-97c8-5b11f49ebcec | null | Validated | 2023-10-04 15:19:51.891948 | {
"text_length": 791
} | 1no_new_dataset |
TITLE: A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named Entities
ABSTRACT: Named Entity Recognition (NER) is one of the essential applications of
Natural Language Processing (NLP). It is also an instrument that plays a
significant role in many other NLP applications, such as Machine... | {
"abstract": "Named Entity Recognition (NER) is one of the essential applications of\nNatural Language Processing (NLP). It is also an instrument that plays a\nsignificant role in many other NLP applications, such as Machine Translation\n(MT), Information Retrieval (IR), and Part of Speech Tagging (POST). Kurdish is... | null | null | new_dataset | admin | null | false | null | a2e660ba-a2ed-4b52-96b4-c743cabb58ae | null | Validated | 2023-10-04 15:19:51.881533 | {
"text_length": 984
} | 0new_dataset |
TITLE: Learning from Sparse Datasets: Predicting Concrete's Strength by Machine Learning
ABSTRACT: Despite enormous efforts over the last decades to establish the relationship
between concrete proportioning and strength, a robust knowledge-based model for
accurate concrete strength predictions is still lacking. As an... | {
"abstract": "Despite enormous efforts over the last decades to establish the relationship\nbetween concrete proportioning and strength, a robust knowledge-based model for\naccurate concrete strength predictions is still lacking. As an alternative to\nphysical or chemical-based models, data-driven machine learning (... | null | null | no_new_dataset | admin | null | false | null | 515986bc-d6cc-4874-8bae-21b004a55284 | null | Validated | 2023-10-04 15:19:51.900422 | {
"text_length": 1313
} | 1no_new_dataset |
TITLE: Retiring Adult: New Datasets for Fair Machine Learning
ABSTRACT: Although the fairness community has recognized the importance of data,
researchers in the area primarily rely on UCI Adult when it comes to tabular
data. Derived from a 1994 US Census survey, this dataset has appeared in
hundreds of research pape... | {
"abstract": "Although the fairness community has recognized the importance of data,\nresearchers in the area primarily rely on UCI Adult when it comes to tabular\ndata. Derived from a 1994 US Census survey, this dataset has appeared in\nhundreds of research papers where it served as the basis for the development\na... | null | null | new_dataset | admin | null | false | null | 301f3eac-c801-4cda-87be-763a08ba9b20 | null | Validated | 2023-10-04 15:19:51.892977 | {
"text_length": 1402
} | 0new_dataset |
TITLE: A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
ABSTRACT: In an effort to catalog insect biodiversity, we propose a new large dataset
of hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is
taxonomically classified by an expert, and also has associated genetic... | {
"abstract": "In an effort to catalog insect biodiversity, we propose a new large dataset\nof hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is\ntaxonomically classified by an expert, and also has associated genetic\ninformation including raw nucleotide barcode sequences and assigned barcode\ni... | null | null | new_dataset | admin | null | false | null | 4442b601-6f77-494e-8b70-54a97754b425 | null | Validated | 2023-10-04 15:19:51.865552 | {
"text_length": 1479
} | 0new_dataset |
TITLE: Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset
ABSTRACT: We introduce the well-established social scientific concept of social
solidarity and its contestation, anti-solidarity, as a new problem setting to
supervised machine learning ... | {
"abstract": "We introduce the well-established social scientific concept of social\nsolidarity and its contestation, anti-solidarity, as a new problem setting to\nsupervised machine learning in NLP to assess how European solidarity discourses\nchanged before and after the COVID-19 outbreak was declared a global pan... | null | null | no_new_dataset | admin | null | false | null | 076834be-f521-481a-b1ca-7946cc3f3e62 | null | Validated | 2023-10-04 15:19:51.893291 | {
"text_length": 1627
} | 1no_new_dataset |
TITLE: A dataset for audio-video based vehicle speed estimation
ABSTRACT: Accurate speed estimation of road vehicles is important for several reasons.
One is speed limit enforcement, which represents a crucial tool in decreasing
traffic accidents and fatalities. Compared with other research areas and
domains, the num... | {
"abstract": "Accurate speed estimation of road vehicles is important for several reasons.\nOne is speed limit enforcement, which represents a crucial tool in decreasing\ntraffic accidents and fatalities. Compared with other research areas and\ndomains, the number of available datasets for vehicle speed estimation i... | null | null | new_dataset | admin | null | false | null | 14349d67-2649-4d9d-b12e-52381602f2e1 | null | Validated | 2023-10-04 15:19:51.882463 | {
"text_length": 1143
} | 0new_dataset |
TITLE: An Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms
ABSTRACT: Corona VIrus Disease abbreviated as COVID-19 is a novel virus which is
initially identified in Wuhan of China in December of 2019 and now this deadly
disease has spread all over the world. According to World Health Organi... | {
"abstract": "Corona VIrus Disease abbreviated as COVID-19 is a novel virus which is\ninitially identified in Wuhan of China in December of 2019 and now this deadly\ndisease has spread all over the world. According to World Health Organization\n(WHO), a total of 3,124,905 people died from 2019 to 2021, April. In thi... | null | null | no_new_dataset | admin | null | false | null | 882d3500-b413-44b8-b7d8-981154c994a6 | null | Validated | 2023-10-04 15:19:51.864276 | {
"text_length": 1063
} | 1no_new_dataset |
TITLE: A domain-specific language for describing machine learning datasets
ABSTRACT: Datasets play a central role in the training and evaluation of machine
learning (ML) models. But they are also the root cause of many undesired model
behaviors, such as biased predictions. To overcome this situation, the ML
community... | {
"abstract": "Datasets play a central role in the training and evaluation of machine\nlearning (ML) models. But they are also the root cause of many undesired model\nbehaviors, such as biased predictions. To overcome this situation, the ML\ncommunity is proposing a data-centric cultural shift where data issues are\n... | null | null | no_new_dataset | admin | null | false | null | df33c0ab-9957-4c35-b9d7-2da5fdb5006c | null | Validated | 2023-10-04 15:19:51.885438 | {
"text_length": 1257
} | 1no_new_dataset |
TITLE: Position Paper on Dataset Engineering to Accelerate Science
ABSTRACT: Data is a critical element in any discovery process. In the last decades, we
observed exponential growth in the volume of available data and the technology
to manipulate it. However, data is only practical when one can structure it for
a wel... | {
"abstract": "Data is a critical element in any discovery process. In the last decades, we\nobserved exponential growth in the volume of available data and the technology\nto manipulate it. However, data is only practical when one can structure it for\na well-defined task. For instance, we need a corpus of text brok... | null | null | no_new_dataset | admin | null | false | null | 38400ef2-f896-40b6-94f9-79e3bfc67c1f | null | Validated | 2023-10-04 15:19:51.880511 | {
"text_length": 1646
} | 1no_new_dataset |
TITLE: Fraud Dataset Benchmark and Applications
ABSTRACT: Standardized datasets and benchmarks have spurred innovations in computer
vision, natural language processing, multi-modal and tabular settings. We note
that, as compared to other well researched fields, fraud detection has unique
challenges: high-class imbala... | {
"abstract": "Standardized datasets and benchmarks have spurred innovations in computer\nvision, natural language processing, multi-modal and tabular settings. We note\nthat, as compared to other well researched fields, fraud detection has unique\nchallenges: high-class imbalance, diverse feature types, frequently c... | null | null | new_dataset | admin | null | false | null | 970e215e-d4f3-4cf3-b844-e4d1e2945336 | null | Validated | 2023-10-04 15:19:51.884394 | {
"text_length": 1491
} | 0new_dataset |
TITLE: There is no data like more data -- current status of machine learning datasets in remote sensing
ABSTRACT: Annotated datasets have become one of the most crucial preconditions for the
development and evaluation of machine learning-based methods designed for the
automated interpretation of remote sensing data. ... | {
"abstract": "Annotated datasets have become one of the most crucial preconditions for the\ndevelopment and evaluation of machine learning-based methods designed for the\nautomated interpretation of remote sensing data. In this paper, we review the\nhistoric development of such datasets, discuss their features based... | null | null | no_new_dataset | admin | null | false | null | 65ab55eb-f5e4-4809-beed-e8fe487e4b48 | null | Validated | 2023-10-04 15:19:51.894423 | {
"text_length": 508
} | 1no_new_dataset |
TITLE: CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
ABSTRACT: The electronic design automation (EDA) community has been actively exploring
machine learning (ML) for very large-scale integrated computer-aided design
(VLSI CAD). Many studies explored learnin... | {
"abstract": "The electronic design automation (EDA) community has been actively exploring\nmachine learning (ML) for very large-scale integrated computer-aided design\n(VLSI CAD). Many studies explored learning-based techniques for cross-stage\nprediction tasks in the design flow to achieve faster design convergenc... | null | null | new_dataset | admin | null | false | null | 70ed2888-04a9-414e-81dc-2b7f734f3d5e | null | Validated | 2023-10-04 15:19:51.884979 | {
"text_length": 728
} | 0new_dataset |
TITLE: A Survey on Industrial Control System Testbeds and Datasets for Security Research
ABSTRACT: The increasing digitization and interconnection of legacy Industrial Control
Systems (ICSs) open new vulnerability surfaces, exposing such systems to
malicious attackers. Furthermore, since ICSs are often employed in cr... | {
"abstract": "The increasing digitization and interconnection of legacy Industrial Control\nSystems (ICSs) open new vulnerability surfaces, exposing such systems to\nmalicious attackers. Furthermore, since ICSs are often employed in critical\ninfrastructures (e.g., nuclear plants) and manufacturing companies (e.g.,\... | null | null | no_new_dataset | admin | null | false | null | 05be641d-0356-42d3-a5a8-e11c62686771 | null | Validated | 2023-10-04 15:19:51.895876 | {
"text_length": 1921
} | 1no_new_dataset |
TITLE: A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady State
ABSTRACT: Background: The volume of distribution at steady state (VDss) is a
fundamental pharmacokinetics (PK) property of drugs, which measures how
effectively a drug molecule is distributed throughout the body. Along w... | {
"abstract": "Background: The volume of distribution at steady state (VDss) is a\nfundamental pharmacokinetics (PK) property of drugs, which measures how\neffectively a drug molecule is distributed throughout the body. Along with the\nclearance (CL), it determines the half-life and, therefore, the drug dosing\ninter... | null | null | new_dataset | admin | null | false | null | 4be8cf84-9ee8-452c-8270-486868b8c99f | null | Validated | 2023-10-04 15:19:51.882913 | {
"text_length": 1863
} | 0new_dataset |
TITLE: Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets
ABSTRACT: Pooling publicly-available MRI data from multiple sites allows to assemble
extensive groups of subjects, increase statistical power, and promote data
reuse with machine learning techniques. The h... | {
"abstract": "Pooling publicly-available MRI data from multiple sites allows to assemble\nextensive groups of subjects, increase statistical power, and promote data\nreuse with machine learning techniques. The harmonization of multicenter data\nis necessary to reduce the confounding effect associated with non-biolog... | null | null | no_new_dataset | admin | null | false | null | 70ed9264-dac9-47f4-87e8-3dfd9fd76e33 | null | Validated | 2023-10-04 15:19:51.882964 | {
"text_length": 1341
} | 1no_new_dataset |
TITLE: Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework
ABSTRACT: While building machine learning models, Feature selection (FS) stands out as
an essential preprocessing step used to handle the uncertainty and vagueness in
the data. Recentl... | {
"abstract": "While building machine learning models, Feature selection (FS) stands out as\nan essential preprocessing step used to handle the uncertainty and vagueness in\nthe data. Recently, the minimum Redundancy and Maximum Relevance (mRMR)\napproach has proven to be effective in obtaining the irredundant featur... | null | null | no_new_dataset | admin | null | false | null | 7ce72dae-c96a-4d20-b0ed-9d4e1476739b | null | Validated | 2023-10-04 15:19:51.884673 | {
"text_length": 1327
} | 1no_new_dataset |
TITLE: Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences
ABSTRACT: Parametric computer-aided design (CAD) is a standard paradigm used to design
manufactured objects, where a 3D shape is represented as a program supported by
the CAD software. Despite the pervas... | {
"abstract": "Parametric computer-aided design (CAD) is a standard paradigm used to design\nmanufactured objects, where a 3D shape is represented as a program supported by\nthe CAD software. Despite the pervasiveness of parametric CAD and a growing\ninterest from the research community, currently there does not exis... | null | null | new_dataset | admin | null | false | null | 4b89adfd-ddeb-4ec8-a124-cc50c928a1f7 | null | Validated | 2023-10-04 15:19:51.897833 | {
"text_length": 1184
} | 0new_dataset |
TITLE: A Tweet-based Dataset for Company-Level Stock Return Prediction
ABSTRACT: Public opinion influences events, especially related to stock market
movement, in which a subtle hint can influence the local outcome of the market.
In this paper, we present a dataset that allows for company-level analysis of
tweet base... | {
"abstract": "Public opinion influences events, especially related to stock market\nmovement, in which a subtle hint can influence the local outcome of the market.\nIn this paper, we present a dataset that allows for company-level analysis of\ntweet based impact on one-, two-, three-, and seven-day stock returns. Ou... | null | null | new_dataset | admin | null | false | null | 9396233b-ff0e-40bb-b3f8-71cbf5faf18b | null | Validated | 2023-10-04 15:19:51.899540 | {
"text_length": 817
} | 0new_dataset |
TITLE: Challenge Dataset of Cognates and False Friend Pairs from Indian Languages
ABSTRACT: Cognates are present in multiple variants of the same text across different
languages (e.g., "hund" in German and "hound" in English language mean "dog").
They pose a challenge to various Natural Language Processing (NLP) appl... | {
"abstract": "Cognates are present in multiple variants of the same text across different\nlanguages (e.g., \"hund\" in German and \"hound\" in English language mean \"dog\").\nThey pose a challenge to various Natural Language Processing (NLP) applications\nsuch as Machine Translation, Cross-lingual Sense Disambigua... | null | null | new_dataset | admin | null | false | null | 460770a3-903f-45a1-8d76-9da1dd020cf0 | null | Validated | 2023-10-04 15:19:51.889202 | {
"text_length": 1251
} | 0new_dataset |
TITLE: Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets
ABSTRACT: Adverse Childhood Experiences (ACEs) are defined as a collection of highly
stressful, and potentially traumatic, events or circumstances that occur
throughout childhood and/or adolescence. Th... | {
"abstract": "Adverse Childhood Experiences (ACEs) are defined as a collection of highly\nstressful, and potentially traumatic, events or circumstances that occur\nthroughout childhood and/or adolescence. They have been shown to be associated\nwith increased risks of mental health diseases or other abnormal behaviou... | null | null | no_new_dataset | admin | null | false | null | 5846cde1-7bf0-4e54-8ea2-4f61a5495c86 | null | Validated | 2023-10-04 15:19:51.884600 | {
"text_length": 1570
} | 1no_new_dataset |
TITLE: HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis
ABSTRACT: Machine Learning (ML) has been widely adopted in design exploration using
high level synthesis (HLS) to give a better and faster performance, and
resource and power estimation at very early stages for FPGA-based de... | {
"abstract": "Machine Learning (ML) has been widely adopted in design exploration using\nhigh level synthesis (HLS) to give a better and faster performance, and\nresource and power estimation at very early stages for FPGA-based design. To\nperform prediction accurately, high-quality and large-volume datasets are\nre... | null | null | new_dataset | admin | null | false | null | 696fa31a-156b-4658-8333-d0e6c4c76112 | null | Validated | 2023-10-04 15:19:51.881120 | {
"text_length": 1388
} | 0new_dataset |
TITLE: Biographical: A Semi-Supervised Relation Extraction Dataset
ABSTRACT: Extracting biographical information from online documents is a popular
research topic among the information extraction (IE) community. Various natural
language processing (NLP) techniques such as text classification, text
summarisation and r... | {
"abstract": "Extracting biographical information from online documents is a popular\nresearch topic among the information extraction (IE) community. Various natural\nlanguage processing (NLP) techniques such as text classification, text\nsummarisation and relation extraction are commonly used to achieve this. Among... | null | null | new_dataset | admin | null | false | null | 2c511955-e009-4576-a903-3a2195d8fc6f | null | Validated | 2023-10-04 15:19:51.886728 | {
"text_length": 1708
} | 0new_dataset |
TITLE: SOLD: Sinhala Offensive Language Dataset
ABSTRACT: The widespread of offensive content online, such as hate speech and
cyber-bullying, is a global phenomenon. This has sparked interest in the
artificial intelligence (AI) and natural language processing (NLP) communities,
motivating the development of various s... | {
"abstract": "The widespread of offensive content online, such as hate speech and\ncyber-bullying, is a global phenomenon. This has sparked interest in the\nartificial intelligence (AI) and natural language processing (NLP) communities,\nmotivating the development of various systems trained to detect potentially\nha... | null | null | new_dataset | admin | null | false | null | 3e4bc237-2776-4d87-aebb-c720e96db614 | null | Validated | 2023-10-04 15:19:51.882533 | {
"text_length": 1430
} | 0new_dataset |
TITLE: Video compression dataset and benchmark of learning-based video-quality metrics
ABSTRACT: Video-quality measurement is a critical task in video processing. Nowadays,
many implementations of new encoding standards - such as AV1, VVC, and LCEVC -
use deep-learning-based decoding algorithms with perceptual metric... | {
"abstract": "Video-quality measurement is a critical task in video processing. Nowadays,\nmany implementations of new encoding standards - such as AV1, VVC, and LCEVC -\nuse deep-learning-based decoding algorithms with perceptual metrics that serve\nas optimization objectives. But investigations of the performance ... | null | null | new_dataset | admin | null | false | null | 16bdbcde-ffba-4939-952e-71b06be560eb | null | Validated | 2023-10-04 15:19:51.882724 | {
"text_length": 1102
} | 0new_dataset |
TITLE: EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks
ABSTRACT: Background and Purpose: Colorectal cancer is a common fatal malignancy, the
fourth most common cancer in men, and the third most common cancer in women
worldwide. Timely detection ... | {
"abstract": "Background and Purpose: Colorectal cancer is a common fatal malignancy, the\nfourth most common cancer in men, and the third most common cancer in women\nworldwide. Timely detection of cancer in its early stages is essential for\ntreating the disease. Currently, there is a lack of datasets for\nhistopa... | null | null | new_dataset | admin | null | false | null | 2c41663f-2eb2-46cd-806d-cea7cb77a243 | null | Validated | 2023-10-04 15:19:51.882557 | {
"text_length": 1606
} | 0new_dataset |
TITLE: Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications
ABSTRACT: Manga, or comics, which are a type of multimodal artwork, have been left
behind in the recent trend of deep learning applications because of the lack of
a proper dataset. Hence, we built Manga109, a dataset consisting of... | {
"abstract": "Manga, or comics, which are a type of multimodal artwork, have been left\nbehind in the recent trend of deep learning applications because of the lack of\na proper dataset. Hence, we built Manga109, a dataset consisting of a variety\nof 109 Japanese comic books (94 authors and 21,142 pages) and made it... | null | null | new_dataset | admin | null | false | null | 8685286a-cb69-49b3-b307-7770d51bb6d9 | null | Validated | 2023-10-04 15:19:51.900046 | {
"text_length": 1113
} | 0new_dataset |
TITLE: ProMap: Datasets for Product Mapping in E-commerce
ABSTRACT: The goal of product mapping is to decide, whether two listings from two
different e-shops describe the same products. Existing datasets of matching and
non-matching pairs of products, however, often suffer from incomplete product
information or conta... | {
"abstract": "The goal of product mapping is to decide, whether two listings from two\ndifferent e-shops describe the same products. Existing datasets of matching and\nnon-matching pairs of products, however, often suffer from incomplete product\ninformation or contain only very distant non-matching products. Theref... | null | null | new_dataset | admin | null | false | null | 98b23a80-626a-4e8e-a232-5615fb093ff9 | null | Validated | 2023-10-04 15:19:51.863617 | {
"text_length": 1650
} | 0new_dataset |
TITLE: MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition
ABSTRACT: We present MultiCoNER, a large multilingual dataset for Named Entity
Recognition that covers 3 domains (Wiki sentences, questions, and search
queries) across 11 languages, as well as multilingual and code-mixing subse... | {
"abstract": "We present MultiCoNER, a large multilingual dataset for Named Entity\nRecognition that covers 3 domains (Wiki sentences, questions, and search\nqueries) across 11 languages, as well as multilingual and code-mixing subsets.\nThis dataset is designed to represent contemporary challenges in NER, including... | null | null | new_dataset | admin | null | false | null | 56aa19a9-b936-46d9-9501-40cba4082c0e | null | Validated | 2023-10-04 15:19:51.884346 | {
"text_length": 1375
} | 0new_dataset |
TITLE: A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions
ABSTRACT: Increased biosecurity and food safety requirements may increase demand for
efficient traceability and identification systems of livestock in the supply
chain. The advanced technologie... | {
"abstract": "Increased biosecurity and food safety requirements may increase demand for\nefficient traceability and identification systems of livestock in the supply\nchain. The advanced technologies of machine learning and computer vision have\nbeen applied in precision livestock management, including critical dis... | null | null | no_new_dataset | admin | null | false | null | d475dae8-5066-4c2a-a44e-c6a6ec66c226 | null | Validated | 2023-10-04 15:19:51.883522 | {
"text_length": 1650
} | 1no_new_dataset |
TITLE: Ensuring Dataset Quality for Machine Learning Certification
ABSTRACT: In this paper, we address the problem of dataset quality in the context of
Machine Learning (ML)-based critical systems. We briefly analyse the
applicability of some existing standards dealing with data and show that the
specificities of the... | {
"abstract": "In this paper, we address the problem of dataset quality in the context of\nMachine Learning (ML)-based critical systems. We briefly analyse the\napplicability of some existing standards dealing with data and show that the\nspecificities of the ML context are neither properly captured nor taken into\na... | null | null | no_new_dataset | admin | null | false | null | 5613ca29-b4cb-4a6f-8670-9f37aeb9adba | null | Validated | 2023-10-04 15:19:51.897256 | {
"text_length": 809
} | 1no_new_dataset |
TITLE: ImageSubject: A Large-scale Dataset for Subject Detection
ABSTRACT: Main subjects usually exist in the images or videos, as they are the objects
that the photographer wants to highlight. Human viewers can easily identify
them but algorithms often confuse them with other objects. Detecting the main
subjects is ... | {
"abstract": "Main subjects usually exist in the images or videos, as they are the objects\nthat the photographer wants to highlight. Human viewers can easily identify\nthem but algorithms often confuse them with other objects. Detecting the main\nsubjects is an important technique to help machines understand the co... | null | null | new_dataset | admin | null | false | null | 6184da8a-8083-465e-8aa1-86f4aeece61f | null | Validated | 2023-10-04 15:19:51.888964 | {
"text_length": 1388
} | 0new_dataset |
TITLE: Constructing Multilingual Code Search Dataset Using Neural Machine Translation
ABSTRACT: Code search is a task to find programming codes that semantically match the
given natural language queries. Even though some of the existing datasets for
this task are multilingual on the programming language side, their q... | {
"abstract": "Code search is a task to find programming codes that semantically match the\ngiven natural language queries. Even though some of the existing datasets for\nthis task are multilingual on the programming language side, their query data\nare only in English. In this research, we create a multilingual code... | null | null | new_dataset | admin | null | false | null | cbb34d2f-3e2f-48ae-a723-2a62e1667451 | null | Default | 2023-10-04 15:19:51.869727 | {
"text_length": 964
} | 0new_dataset |
TITLE: The CSIRO Crown-of-Thorn Starfish Detection Dataset
ABSTRACT: Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on
the Great Barrier Reef (GBR) and substantial surveillance and control programs
are underway in an attempt to manage COTS populations to ecologically
sustainable levels. We r... | {
"abstract": "Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on\nthe Great Barrier Reef (GBR) and substantial surveillance and control programs\nare underway in an attempt to manage COTS populations to ecologically\nsustainable levels. We release a large-scale, annotated underwater image\nd... | null | null | new_dataset | admin | null | false | null | 7af65e19-249f-4827-94c3-8b910a8deda1 | null | Validated | 2023-10-04 15:19:51.889572 | {
"text_length": 768
} | 0new_dataset |
TITLE: NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset
ABSTRACT: Recent work indicates that, besides being a challenge in producing
perceptually pleasing images, low light proves more difficult for machine
cognition than previously thought. In our work, we... | {
"abstract": "Recent work indicates that, besides being a challenge in producing\nperceptually pleasing images, low light proves more difficult for machine\ncognition than previously thought. In our work, we take a closer look at object\ndetection in low light. First, to support the development and evaluation of new... | null | null | new_dataset | admin | null | false | null | 451559c5-216a-4132-9336-76500462eacc | null | Validated | 2023-10-04 15:19:51.890271 | {
"text_length": 1580
} | 0new_dataset |
TITLE: Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
ABSTRACT: Benchmark datasets play a central role in the organization of machine
learning research. They coordinate researchers around shared research problems
and serve as a measure of progress towards shared goals. Despite the
fo... | {
"abstract": "Benchmark datasets play a central role in the organization of machine\nlearning research. They coordinate researchers around shared research problems\nand serve as a measure of progress towards shared goals. Despite the\nfoundational role of benchmarking practices in this field, relatively little\natte... | null | null | no_new_dataset | admin | null | false | null | d36c09a4-4dfe-4ca2-b727-6965f322da1b | null | Validated | 2023-10-04 15:19:51.889419 | {
"text_length": 1075
} | 1no_new_dataset |
TITLE: BioImageLoader: Easy Handling of Bioimage Datasets for Machine Learning
ABSTRACT: BioImageLoader (BIL) is a python library that handles bioimage datasets for
machine learning applications, easing simple workflows and enabling complex
ones. BIL attempts to wrap the numerous and varied bioimages datasets in
unif... | {
"abstract": "BioImageLoader (BIL) is a python library that handles bioimage datasets for\nmachine learning applications, easing simple workflows and enabling complex\nones. BIL attempts to wrap the numerous and varied bioimages datasets in\nunified interfaces, to easily concatenate, perform image augmentation, and\... | null | null | no_new_dataset | admin | null | false | null | 0272e3a7-b0bd-4951-8221-adedfd239e95 | null | Validated | 2023-10-04 15:19:51.880860 | {
"text_length": 746
} | 1no_new_dataset |
TITLE: Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a driver
ABSTRACT: This article presents a synthetic distracted driving (SynDD2 - a continuum of
SynDD1) dataset for machine learning models to detect and analyze drivers'
various distracted behavior and ... | {
"abstract": "This article presents a synthetic distracted driving (SynDD2 - a continuum of\nSynDD1) dataset for machine learning models to detect and analyze drivers'\nvarious distracted behavior and different gaze zones. We collected the data in\na stationary vehicle using three in-vehicle cameras positioned at lo... | null | null | new_dataset | admin | null | false | null | 5c59b8de-ad72-45e6-9363-13371aef5b61 | null | Validated | 2023-10-04 15:19:51.887013 | {
"text_length": 1120
} | 0new_dataset |
TITLE: Realistic Large-Scale Fine-Depth Dehazing Dataset from 3D Videos
ABSTRACT: Image dehazing is one of the important and popular topics in computer vision
and machine learning. A reliable real-time dehazing method with reliable
performance is highly desired for many applications such as autonomous driving,
securi... | {
"abstract": "Image dehazing is one of the important and popular topics in computer vision\nand machine learning. A reliable real-time dehazing method with reliable\nperformance is highly desired for many applications such as autonomous driving,\nsecurity surveillance, etc. While recent learning-based methods requir... | null | null | new_dataset | admin | null | false | null | 45213a43-8253-4790-a349-8605f5f423a7 | null | Validated | 2023-10-04 15:19:51.901007 | {
"text_length": 1482
} | 0new_dataset |
TITLE: RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes
ABSTRACT: We introduce RaidaR, a rich annotated image dataset of rainy street scenes,
to support autonomous driving research. The new dataset contains the largest
number of rainy images (58,542) to date, 5,000 of which provide semantic
segmentations... | {
"abstract": "We introduce RaidaR, a rich annotated image dataset of rainy street scenes,\nto support autonomous driving research. The new dataset contains the largest\nnumber of rainy images (58,542) to date, 5,000 of which provide semantic\nsegmentations and 3,658 provide object instance segmentations. The RaidaR\... | null | null | new_dataset | admin | null | false | null | 2811a11c-72ae-43e1-bf62-d086501ece10 | null | Validated | 2023-10-04 15:19:51.895097 | {
"text_length": 1163
} | 0new_dataset |
TITLE: Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search
ABSTRACT: Improving the quality of search results can significantly enhance users
experience and engagement with search engines. In spite of several recent
advancements in the fields of machine learning and data mining, correct... | {
"abstract": "Improving the quality of search results can significantly enhance users\nexperience and engagement with search engines. In spite of several recent\nadvancements in the fields of machine learning and data mining, correctly\nclassifying items for a particular user search query has been a long-standing\nc... | null | null | new_dataset | admin | null | false | null | 65b92422-b8d8-4ef9-8790-b055567e87c6 | null | Validated | 2023-10-04 15:19:51.885772 | {
"text_length": 1334
} | 0new_dataset |
TITLE: A Survey on RGB-D Datasets
ABSTRACT: RGB-D data is essential for solving many problems in computer vision.
Hundreds of public RGB-D datasets containing various scenes, such as indoor,
outdoor, aerial, driving, and medical, have been proposed. These datasets are
useful for different applications and are fundame... | {
"abstract": "RGB-D data is essential for solving many problems in computer vision.\nHundreds of public RGB-D datasets containing various scenes, such as indoor,\noutdoor, aerial, driving, and medical, have been proposed. These datasets are\nuseful for different applications and are fundamental for addressing classi... | null | null | no_new_dataset | admin | null | false | null | 9bdc9f69-2e20-45d5-809b-16d14b380ebd | null | Validated | 2023-10-04 15:19:51.888844 | {
"text_length": 963
} | 1no_new_dataset |
TITLE: Teaching Key Machine Learning Principles Using Anti-learning Datasets
ABSTRACT: Much of the teaching of machine learning focuses on iterative hill-climbing
approaches and the use of local knowledge to gain information leading to local
or global maxima. In this paper we advocate the teaching of alternative meth... | {
"abstract": "Much of the teaching of machine learning focuses on iterative hill-climbing\napproaches and the use of local knowledge to gain information leading to local\nor global maxima. In this paper we advocate the teaching of alternative methods\nof generalising to the best possible solution, including a method... | null | null | no_new_dataset | admin | null | false | null | 6ea149f7-3695-4710-8671-d85b05bee738 | null | Validated | 2023-10-04 15:19:51.897021 | {
"text_length": 803
} | 1no_new_dataset |
TITLE: EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living
ABSTRACT: In this paper, we present electromyography analysis of human activity -
database 1 (EMAHA-DB1), a novel dataset of multi-channel surface
electromyography (sEMG) signals to evaluate the activities of daily living... | {
"abstract": "In this paper, we present electromyography analysis of human activity -\ndatabase 1 (EMAHA-DB1), a novel dataset of multi-channel surface\nelectromyography (sEMG) signals to evaluate the activities of daily living\n(ADL). The dataset is acquired from 25 able-bodied subjects while performing 22\nactivit... | null | null | new_dataset | admin | null | false | null | ea316272-a6f6-41cc-950f-e538db12a16a | null | Validated | 2023-10-04 15:19:51.881606 | {
"text_length": 1960
} | 0new_dataset |
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