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Conference stringclasses 6 values	Year int64 1.99k 2.03k	Title stringlengths 8 187	DOI stringlengths 16 32	Abstract stringlengths 128 7.15k ⌀	Accessible bool 2 classes	Early bool 2 classes	AuthorNames-Deduped listlengths 1 24	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
CHI	2,019	Scaptics and Highlight-Planes: Immersive Interaction Techniques for Finding Occluded Features in 3D Scatterplots	10.1145/3290605.3300555	Three-dimensional scatterplots suffer from well-known perception and usability problems. In particular, overplotting and occlusion, mainly due to density and noise, prevent users from properly perceiving the data. Thanks to accurate head and hand tracking, immersive Virtual Reality (VR) setups provide new ways to inter...	false	false	[ "Arnaud Prouzeau", "Maxime Cordeil", "Clement Robin", "Barrett Ens", "Bruce H. Thomas", "Tim Dwyer" ]	[]	[]	[]
CHI	2,019	TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings	10.1145/3290605.3300807	Group Support Systems provide ways to review and edit shared content during meetings, but typically require participants to explicitly generate the content. Recent advances in speech-to-text conversion and language processing now make it possible to automatically record and review spoken information. We present the ite...	false	false	[ "Senthil K. Chandrasegaran", "Chris Bryan", "Hidekazu Shidara", "Tung-Yen Chuang", "Kwan-Liu Ma" ]	[]	[]	[]
CHI	2,019	Thinking Too Classically: Research Topics in Human-Quantum Computer Interaction	10.1145/3290605.3300486	Quantum computing is a fundamentally different way of performing computation than classical computing. Many problems that are considered hard for classical computers may have efficient solutions using quantum computers. Recently, technology companies including IBM, Microsoft, and Google have invested in developing both...	false	false	[ "Zahra Ashktorab", "Justin D. Weisz", "Maryam Ashoori" ]	[]	[]	[]
CHI	2,019	Towards Collaboration Translucence: Giving Meaning to Multimodal Group Data	10.1145/3290605.3300269	Collocated, face-to-face teamwork remains a pervasive mode of working, which is hard to replicate online. Team members' embodied, multimodal interaction with each other and artefacts has been studied by researchers, but due to its complexity, has remained opaque to automated analysis. However, the ready availability of...	false	false	[ "Vanessa Echeverría", "Roberto Martínez Maldonado", "Simon Buckingham Shum" ]	[]	[]	[]
CHI	2,019	Towards Effective Foraging by Data Scientists to Find Past Analysis Choices	10.1145/3290605.3300322	Data scientists are responsible for the analysis decisions they make, but it is hard for them to track the process by which they achieved a result. Even when data scientists keep logs, it is onerous to make sense of the resulting large number of history records full of overlapping variants of code, output, plots, etc. ...	false	false	[ "Mary Beth Kery", "Bonnie E. John", "Patrick O'Flaherty", "Amber Horvath", "Brad A. Myers" ]	[]	[]	[]
CHI	2,019	Trust and Recall of Information across Varying Degrees of Title-Visualization Misalignment	10.1145/3290605.3300576	Visualizations are emerging as a means of spreading digital misinformation. Prior work has shown that visualization interpretation can be manipulated through slanted titles that favor only one side of the visual story, yet people still think the visualization is impartial. In this work, we study whether such effects co...	false	false	[ "Ha Kyung Kong", "Zhicheng Liu 0001", "Karrie Karahalios" ]	[]	[]	[]
CHI	2,019	Understanding Law Enforcement Strategies and Needs for Combating Human Trafficking	10.1145/3290605.3300561	In working to rescue victims of human trafficking, law enforcement officers face a host of challenges. Working in complex, layered organizational structures, they face challenges of collaboration and communication. Online information is central to every phase of a human-trafficking investigation. With terabytes of avai...	false	false	[ "Julia Deeb-Swihart", "Alex Endert", "Amy S. Bruckman" ]	[]	[]	[]
CHI	2,019	Understanding Visual Cues in Visualizations Accompanied by Audio Narrations	10.1145/3290605.3300280	It is often assumed that visual cues, which highlight specific parts of a visualization to guide the audience's attention, facilitate visualization storytelling and presentation. This assumption has not been systematically studied. We present an in-lab experiment and a Mechanical Turk study to examine the effects of in...	false	false	[ "Ha Kyung Kong", "Wenjie Zhu", "Zhicheng Liu 0001", "Karrie Karahalios" ]	[]	[]	[]
CHI	2,019	Vistribute: Distributing Interactive Visualizations in Dynamic Multi-Device Setups	10.1145/3290605.3300846	We present Vistribute, a framework for the automatic distribution of visualizations and UI components across multiple heterogeneous devices. Our framework consists of three parts: (i) a design space considering properties and relationships of interactive visualizations, devices, and user preferences in multi-display en...	false	false	[ "Tom Horak", "Andreas Mathisen", "Clemens Nylandsted Klokmose", "Raimund Dachselt", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,019	Visualizing Uncertainty and Alternatives in Event Sequence Predictions	10.1145/3290605.3300803	Data analysts apply machine learning and statistical methods to timestamped event sequences to tackle various problems but face unique challenges when interpreting the results. Especially in event sequence prediction, it is difficult to convey uncertainty and possible alternative paths or outcomes. In this work, inform...	false	false	[ "Shunan Guo", "Fan Du", "Sana Malik", "Eunyee Koh", "Sungchul Kim", "Zhicheng Liu 0001", "Donghyun Kim 0007", "Hongyuan Zha", "Nan Cao 0001" ]	[]	[]	[]
CHI	2,019	Visually Encoding the Lived Experience of Bipolar Disorder	10.1145/3290605.3300363	Issues of social identity, attitudes towards self-disclosure, and potentially biased approaches to what is considered "typical" or "normal" are critical factors when designing visualizations for personal informatics systems. This is particularly true when working with vulnerable populations like those who self-track to...	false	false	[ "Jaime Snyder", "Elizabeth L. Murnane", "Caitlin Lustig", "Stephen Voida" ]	[]	[]	[]
CHI	2,019	VizML: A Machine Learning Approach to Visualization Recommendation	10.1145/3290605.3300358	Visualization recommender systems aim to lower the barrier to exploring basic visualizations by automatically generating results for analysts to search and select, rather than manually specify. Here, we demonstrate a novel machine learning-based approach to visualization recommendation that learns visualization design ...	false	false	[ "Kevin Zeng Hu", "Michiel A. Bakker", "Stephen Li", "Tim Kraska", "César A. Hidalgo 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1808.04819v1", "icon": "paper" } ]
CHI	2,019	VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository	10.1145/3290605.3300892	Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs. These exemplars often lack the characteristics of real-world datasets, and their one-off nature makes it difficult to compare different techniques. In this paper, we present VizN...	false	false	[ "Kevin Zeng Hu", "Snehalkumar (Neil) S. Gaikwad", "Madelon Hulsebos", "Michiel A. Bakker", "Emanuel Zgraggen", "César A. Hidalgo 0001", "Tim Kraska", "Guoliang Li 0001", "Arvind Satyanarayan", "Çagatay Demiralp" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1905.04616v1", "icon": "paper" } ]
VAST	2,018	A Visual Analytics Framework for Spatiotemporal Trade Network Analysis	10.1109/TVCG.2018.2864844	Economic globalization is increasing connectedness among regions of the world, creating complex interdependencies within various supply chains. Recent studies have indicated that changes and disruptions within such networks can serve as indicators for increased risks of violence and armed conflicts. This is especially ...	false	false	[ "Hong Wang", "Yafeng Lu", "Shade T. Shutters", "Michael Steptoe", "Feng Wang 0012", "Steven Landis", "Ross Maciejewski" ]	[]	[]	[]
VAST	2,018	A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Applications	10.1109/TVCG.2018.2865026	Anomalous runtime behavior detection is one of the most important tasks for performance diagnosis in High Performance Computing (HPC). Most of the existing methods find anomalous executions based on the properties of individual functions, such as execution time. However, it is insufficient to identify abnormal behavior...	false	false	[ "Cong Xie", "Wei Xu 0020", "Klaus Mueller 0001" ]	[ "HM" ]	[]	[]
VAST	2,018	An Information-Theoretic Approach to the Cost-benefit Analysis of Visualization in Virtual Environments	10.1109/TVCG.2018.2865025	Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades. Some VEs have been purposely developed for visualization applications, while many visualization applications are exemplary showcases in general-purpose VEs. Because of the development and operatio...	false	false	[ "Min Chen 0001", "Kelly P. Gaither", "Nigel W. John", "Brian C. McCann" ]	[]	[]	[]
VAST	2,018	An Interactive Method to Improve Crowdsourced Annotations	10.1109/TVCG.2018.2864843	In order to effectively infer correct labels from noisy crowdsourced annotations, learning-from-crowds models have introduced expert validation. However, little research has been done on facilitating the validation procedure. In this paper, we propose an interactive method to assist experts in verifying uncertain insta...	false	false	[ "Shixia Liu", "Changjian Chen", "Yafeng Lu", "Fang-Xin Ou-Yang", "Bin Wang 0021" ]	[]	[]	[]
VAST	2,018	Analysis of Flight Variability: a Systematic Approach	10.1109/TVCG.2018.2864811	In movement data analysis, there exists a problem of comparing multiple trajectories of moving objects to common or distinct reference trajectories. We introduce a general conceptual framework for comparative analysis of trajectories and an analytical procedure, which consists of (1) finding corresponding points in pai...	false	false	[ "Natalia V. Andrienko", "Gennady L. Andrienko", "Jose Manuel Cordero Garcia", "David Scarlatti" ]	[]	[]	[]
VAST	2,018	Analyzing the Noise Robustness of Deep Neural Networks	10.1109/VAST.2018.8802509	Deep neural networks (DNNs) are vulnerable to maliciously generated adversarial examples. These examples are intentionally designed by making imperceptible perturbations and often mislead a DNN into making an incorrect prediction. This phenomenon means that there is significant risk in applying DNNs to safety-critical ...	false	false	[ "Mengchen Liu", "Shixia Liu", "Hang Su 0006", "Kelei Cao", "Jun Zhu 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2001.09395v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/1qzUAMTdWO4", "icon": "video" } ]
VAST	2,018	BitExTract: Interactive Visualization for Extracting Bitcoin Exchange Intelligence	10.1109/TVCG.2018.2864814	The emerging prosperity of cryptocurrencies, such as Bitcoin, has come into the spotlight during the past few years. Cryptocurrency exchanges, which act as the gateway to this world, now play a dominant role in the circulation of Bitcoin. Thus, delving into the analysis of the transaction patterns of exchanges can shed...	false	false	[ "Xuanwu Yue", "Xinhuan Shu", "Xinyu Zhu", "Xinnan Du", "Zheqing Yu", "Dimitrios Papadopoulos 0001", "Siyuan Liu" ]	[]	[]	[]
VAST	2,018	Clustrophile 2: Guided Visual Clustering Analysis	10.1109/TVCG.2018.2864477	Data clustering is a common unsupervised learning method frequently used in exploratory data analysis. However, identifying relevant structures in unlabeled, high-dimensional data is nontrivial, requiring iterative experimentation with clustering parameters as well as data features and instances. The number of possible...	false	false	[ "Marco Cavallo", "Çagatay Demiralp" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1804.03048v3", "icon": "paper" } ]
VAST	2,018	Doccurate: A Curation-Based Approach for Clinical Text Visualization	10.1109/TVCG.2018.2864905	Before seeing a patient, physicians seek to obtain an overview of the patient's medical history. Text plays a major role in this activity since it represents the bulk of the clinical documentation, but reviewing it quickly becomes onerous when patient charts grow too large. Text visualization methods have been widely e...	false	false	[ "Nicole Sultanum", "Devin Singh", "Michael Brudno", "Fanny Chevalier" ]	[]	[]	[]
VAST	2,018	DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks	10.1109/TVCG.2018.2864504	Deep Q-Network (DQN), as one type of deep reinforcement learning model, targets to train an intelligent agent that acquires optimal actions while interacting with an environment. The model is well known for its ability to surpass professional human players across many Atari 2600 games. Despite the superhuman performanc...	false	false	[ "Junpeng Wang", "Liang Gou", "Han-Wei Shen", "Hao Yang 0007" ]	[ "HM" ]	[]	[]
VAST	2,018	Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space	10.1109/TVCG.2018.2865051	We present a direct manipulation technique that allows material scientists to interactively highlight relevant parameterized simulation instances located in dimensionally reduced spaces, enabling a user-defined understanding of a continuous parameter space. Our goals are two-fold: first, to build a user-directed intuit...	false	false	[ "Daniel Orban", "Daniel F. Keefe", "Ayan Biswas", "James P. Ahrens", "David H. Rogers 0001" ]	[]	[]	[]
VAST	2,018	Duet: Helping Data Analysis Novices Conduct Pairwise Comparisons by Minimal Specification	10.1109/TVCG.2018.2864526	Data analysis novices often encounter barriers in executing low-level operations for pairwise comparisons. They may also run into barriers in interpreting the artifacts (e.g., visualizations) created as a result of the operations. We developed Duet, a visual analysis system designed to help data analysis novices conduc...	false	false	[ "Po-Ming Law", "Rahul C. Basole", "Yanhong Wu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/rzk49", "icon": "paper" } ]
VAST	2,018	EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection	10.1109/VAST.2018.8802454	Constructing latent vector representation for nodes in a network through embedding models has shown its practicality in many graph analysis applications, such as node classification, clustering, and link prediction. However, despite the high efficiency and accuracy of learning an embedding model, people have little clu...	false	false	[ "Quan Li", "Kristanto Sean Njotoprawiro", "Hammad Haleem", "Qiaoan Chen", "Chris Yi", "Xiaojuan Ma" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1808.09074v1", "icon": "paper" } ]
VAST	2,018	Enhancing Web-based Analytics Applications through Provenance	10.1109/TVCG.2018.2865039	Visual analytics systems continue to integrate new technologies and leverage modern environments for exploration and collaboration, making tools and techniques available to a wide audience through web browsers. Many of these systems have been developed with rich interactions, offering users the opportunity to examine d...	false	false	[ "Akhilesh Camisetty", "Chaitanya Chandurkar", "Maoyuan Sun", "David Koop" ]	[]	[]	[]
VAST	2,018	EnsembleLens: Ensemble-based Visual Exploration of Anomaly Detection Algorithms with Multidimensional Data	10.1109/TVCG.2018.2864825	The results of anomaly detection are sensitive to the choice of detection algorithms as they are specialized for different properties of data, especially for multidimensional data. Thus, it is vital to select the algorithm appropriately. To systematically select the algorithms, ensemble analysis techniques have been de...	false	false	[ "Ke Xu", "Meng Xia", "Xing Mu", "Yun Wang 0012", "Nan Cao" ]	[]	[]	[]
VAST	2,018	Evaluating Multi-Dimensional Visualizations for Understanding Fuzzy Clusters	10.1109/TVCG.2018.2865020	Fuzzy clustering assigns a probability of membership for a datum to a cluster, which veritably reflects real-world clustering scenarios but significantly increases the complexity of understanding fuzzy clusters. Many studies have demonstrated that visualization techniques for multi-dimensional data are beneficial to un...	false	false	[ "Ying Zhao 0001", "Feng Luo", "Minghui Chen", "Yingchao Wang", "Jiazhi Xia", "Fangfang Zhou", "Yunhai Wang", "Yi Chen 0007", "Wei Chen 0001" ]	[]	[]	[]
VAST	2,018	ForVizor: Visualizing Spatio-Temporal Team Formations in Soccer	10.1109/TVCG.2018.2865041	Regarded as a high-level tactic in soccer, a team formation assigns players different tasks and indicates their active regions on the pitch, thereby influencing the team performance significantly. Analysis of formations in soccer has become particularly indispensable for soccer analysts. However, formations of a team a...	false	false	[ "Yingcai Wu", "Xiao Xie", "Jiachen Wang", "Dazhen Deng", "Hongye Liang", "Hui Zhang 0051", "Shoubin Cheng", "Wei Chen 0001" ]	[]	[]	[]
VAST	2,018	Futzing and Moseying: Interviews with Professional Data Analysts on Exploration Practices	10.1109/TVCG.2018.2865040	We report the results of interviewing thirty professional data analysts working in a range of industrial, academic, and regulatory environments. This study focuses on participants' descriptions of exploratory activities and tool usage in these activities. Highlights of the findings include: distinctions between explora...	false	false	[ "Sara Alspaugh", "Nava Zokaei", "Andrea Liu", "Cindy Jin", "Marti A. Hearst" ]	[]	[]	[]
VAST	2,018	GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation	10.1109/TVCG.2018.2864500	Recent success in deep learning has generated immense interest among practitioners and students, inspiring many to learn about this new technology. While visual and interactive approaches have been successfully developed to help people more easily learn deep learning, most existing tools focus on simpler models. In thi...	false	false	[ "Minsuk Kahng", "Nikhil Thorat", "Polo Chau", "Fernanda B. Viégas", "Martin Wattenberg" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1809.01587v1", "icon": "paper" } ]
VAST	2,018	GraphProtector: A Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms	10.1109/TVCG.2018.2865021	Analyzing social networks reveals the relationships between individuals and groups in the data. However, such analysis can also lead to privacy exposure (whether intentionally or inadvertently): leaking the real-world identity of ostensibly anonymous individuals. Most sanitization strategies modify the graph's structur...	false	false	[ "Xumeng Wang", "Wei Chen 0001", "Jia-Kai Chou", "Chris Bryan", "Huihua Guan", "Wenlong Chen", "Rusheng Pan", "Kwan-Liu Ma" ]	[]	[]	[]
VAST	2,018	Identification of Temporally Varying Areas of Interest in Long-Duration Eye-Tracking Data Sets	10.1109/TVCG.2018.2865042	Eye-tracking has become an invaluable tool for the analysis of working practices in many technological fields of activity. Typically studies focus on short tasks and use static expected areas of interest (AoI) in the display to explore subjects' behaviour, making the analyst's task quite straightforward. In long-durati...	false	false	[ "Prithiviraj K. Muthumanickam", "Katerina Vrotsou", "Aida Nordman", "Jimmy Johansson 0001", "Matthew Cooper 0001" ]	[]	[]	[]
VAST	2,018	iForest: Interpreting Random Forests via Visual Analytics	10.1109/TVCG.2018.2864475	As an ensemble model that consists of many independent decision trees, random forests generate predictions by feeding the input to internal trees and summarizing their outputs. The ensemble nature of the model helps random forests outperform any individual decision tree. However, it also leads to a poor model interpret...	false	false	[ "Xun Zhao", "Yanhong Wu", "Dik Lun Lee", "Weiwei Cui" ]	[]	[]	[]
VAST	2,018	InkPlanner: Supporting Prewriting via Intelligent Visual Diagramming	10.1109/TVCG.2018.2864887	Prewriting is the process of generating and organizing ideas before drafting a document. Although often overlooked by novice writers and writing tool developers, prewriting is a critical process that improves the quality of a final document. To better understand current prewriting practices, we first conducted intervie...	false	false	[ "Zhicong Lu", "Mingming Fan 0001", "Yun Wang 0012", "Jian Zhao 0010", "Michelle Annett", "Daniel J. Wigdor" ]	[]	[]	[]
VAST	2,018	KnowledgePearls: Provenance-Based Visualization Retrieval	10.1109/TVCG.2018.2865024	Storing analytical provenance generates a knowledge base with a large potential for recalling previous results and guiding users in future analyses. However, without extensive manual creation of meta information and annotations by the users, search and retrieval of analysis states can become tedious. We present Knowled...	false	false	[ "Holger Stitz", "Samuel Gratzl", "Harald Piringer", "Thomas Zichner", "Marc Streit" ]	[]	[]	[]
VAST	2,018	Lessons Learned Developing a Visual Analytics Solution for Investigative Analysis of Scamming Activities	10.1109/TVCG.2018.2865023	The forensic investigation of communication datasets which contain unstructured text, social network information, and metadata is a complex task that is becoming more important due to the immense amount of data being collected. Currently there are limited approaches that allow an investigator to explore the network, te...	false	false	[ "Jay Koven", "Cristian Felix", "Hossein Siadati", "Markus Jakobsson", "Enrico Bertini" ]	[]	[]	[]
VAST	2,018	Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models	10.1109/TVCG.2018.2864499	Interpretation and diagnosis of machine learning models have gained renewed interest in recent years with breakthroughs in new approaches. We present Manifold, a framework that utilizes visual analysis techniques to support interpretation, debugging, and comparison of machine learning models in a more transparent and i...	false	false	[ "Jiawei Zhang 0003", "Yang Wang", "Piero Molino", "Lezhi Li", "David S. Ebert" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1808.00196v1", "icon": "paper" } ]
VAST	2,018	MAQUI: Interweaving Queries and Pattern Mining for Recursive Event Sequence Exploration	10.1109/TVCG.2018.2864886	Exploring event sequences by defining queries alone or by using mining algorithms alone is often not sufficient to support analysis. Analysts often interweave querying and mining in a recursive manner during event sequence analysis: sequences extracted as query results are used for mining patterns, patterns generated a...	false	false	[ "Po-Ming Law", "Zhicheng Liu", "Sana Malik", "Rahul C. Basole" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/tg7w5", "icon": "paper" } ]
VAST	2,018	MotionRugs: Visualizing Collective Trends in Space and Time	10.1109/TVCG.2018.2865049	Understanding the movement patterns of collectives, such as flocks of birds or fish swarms, is an interesting open research question. The collectives are driven by mutual objectives or react to individual direction changes and external influence factors and stimuli. The challenge in visualizing collective movement data...	false	false	[ "Juri Buchmüller", "Dominik Jäckle", "Eren Cakmak", "Ulrik Brandes", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,018	RegressionExplorer: Interactive Exploration of Logistic Regression Models with Subgroup Analysis	10.1109/TVCG.2018.2865043	We present RegressionExplorer, a Visual Analytics tool for the interactive exploration of logistic regression models. Our application domain is Clinical Biostatistics, where models are derived from patient data with the aim to obtain clinically meaningful insights and consequences. Development and interpretation of a p...	false	false	[ "Dennis Dingen", "Marcel van 't Veer", "Patrick Houthuizen", "Eveline H. J. Mestrom", "Hendrikus H. M. Korsten", "R. Arthur Bouwman", "Jarke J. van Wijk" ]	[]	[]	[]
VAST	2,018	RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records	10.1109/TVCG.2018.2865027	We have recently seen many successful applications of recurrent neural networks (RNNs) on electronic medical records (EMRs), which contain histories of patients' diagnoses, medications, and other various events, in order to predict the current and future states of patients. Despite the strong performance of RNNs, it is...	false	false	[ "Bum Chul Kwon", "Min-Je Choi", "Joanne Taery Kim", "Edward Choi", "Young-bin Kim", "Soonwook Kwon", "Jimeng Sun 0001", "Jaegul Choo" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1805.10724v3", "icon": "paper" } ]
VAST	2,018	RuleMatrix: Visualizing and Understanding Classifiers with Rules	10.1109/TVCG.2018.2864812	With the growing adoption of machine learning techniques, there is a surge of research interest towards making machine learning systems more transparent and interpretable. Various visualizations have been developed to help model developers understand, diagnose, and refine machine learning models. However, a large numbe...	false	false	[ "Yao Ming", "Huamin Qu", "Enrico Bertini" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1807.06228v1", "icon": "paper" } ]
VAST	2,018	Segue: Overviewing Evolution Patterns of Egocentric Networks by Interactive Construction of Spatial Layouts	10.1109/VAST.2018.8802415	Getting the overall picture of how a large number of ego-networks evolve is a common yet challenging task. Existing techniques often require analysts to inspect the evolution patterns of ego-networks one after another. In this study, we explore an approach that allows analysts to interactively create spatial layouts in...	false	false	[ "Po-Ming Law", "Yanhong Wu", "Rahul C. Basole" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/ah5y6", "icon": "paper" } ]
VAST	2,018	Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models	10.1109/TVCG.2018.2865044	Neural sequence-to-sequence models have proven to be accurate and robust for many sequence prediction tasks, and have become the standard approach for automatic translation of text. The models work with a five-stage blackbox pipeline that begins with encoding a source sequence to a vector space and then decoding out to...	false	false	[ "Hendrik Strobelt", "Sebastian Gehrmann", "Michael Behrisch 0001", "Adam Perer", "Hanspeter Pfister", "Alexander M. Rush" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1804.09299v2", "icon": "paper" } ]
VAST	2,018	SIRIUS: Dual, Symmetric, Interactive Dimension Reductions	10.1109/TVCG.2018.2865047	Much research has been done regarding how to visualize and interact with observations and attributes of high-dimensional data for exploratory data analysis. From the analyst's perceptual and cognitive perspective, current visualization approaches typically treat the observations of the high-dimensional dataset very dif...	false	false	[ "Michelle Dowling", "John E. Wenskovitch", "J. T. Fry", "Scotland Leman", "Leanna House", "Chris North 0001" ]	[]	[]	[]
VAST	2,018	Situ: Identifying and Explaining Suspicious Behavior in Networks	10.1109/TVCG.2018.2865029	Despite the best efforts of cyber security analysts, networked computing assets are routinely compromised, resulting in the loss of intellectual property, the disclosure of state secrets, and major financial damages. Anomaly detection methods are beneficial for detecting new types of attacks and abnormal network activi...	false	false	[ "John R. Goodall", "Eric D. Ragan", "Chad A. Steed", "Joel W. Reed", "G. David Richardson", "Kelly M. T. Huffer", "Robert A. Bridges", "Jason A. Laska" ]	[]	[]	[]
VAST	2,018	SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics Approach	10.1109/VAST.2018.8802486	We present SMARTEXPLORE, a novel visual analytics technique that simplifies the identification and understanding of clusters, correlations, and complex patterns in high-dimensional data. The analysis is integrated into an interactive table-based visualization that maintains a consistent and familiar representation thro...	false	false	[ "Michael Blumenschein", "Michael Behrisch 0001", "Stefanie Schmid", "Simon Butscher", "Deborah Wahl", "Karoline Villinger", "Britta Renner", "Harald Reiterer", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,018	The Effect of Proximity in Social Data Charts on Perceived Unity	10.1109/VAST.2018.8802449	Social data charts - visual presentations of quantitative data about peer behaviors - may offer new means to motivate individuals to participate in group goals. However, to do so these charts need to create a semantic response of `unity' among the chart viewers in order to overcome the problems of social loafing where ...	false	false	[ "Marlen Promann", "Sabine Brunswicker" ]	[]	[]	[]
VAST	2,018	The Effect of Semantic Interaction on Foraging in Text Analysis	10.1109/VAST.2018.8802424	Completing text analysis tasks is a continuous sensemaking loop of foraging for information and incrementally synthesizing it into hypotheses. Past research has shown the advantages of using spatial workspaces as a means for synthesizing information through externalizing hypotheses and creating spatial schemas. However...	false	false	[ "John E. Wenskovitch", "Lauren Bradel", "Michelle Dowling", "Leanna House", "Chris North 0001" ]	[]	[]	[]
VAST	2,018	TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis	10.1109/TVCG.2018.2865018	Consider a multi-dimensional spatio-temporal (ST) dataset where each entry is a numerical measure defined by the corresponding temporal, spatial and other domain-specific dimensions. A typical approach to explore such data utilizes interactive visualizations with multiple coordinated views. Each view displays the aggre...	false	false	[ "Dongyu Liu", "Panpan Xu", "Ren Liu" ]	[ "BP" ]	[]	[]
VAST	2,018	VIBR: Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle	10.1109/TVCG.2018.2864826	Bipartite graphs model the key relations in many large scale real-world data: customers purchasing items, legislators voting for bills, people's affiliation with different social groups, faults occurring in vehicles, etc. However, it is challenging to visualize large scale bipartite graphs with tens of thousands or eve...	false	false	[ "Gromit Yeuk-Yin Chan", "Panpan Xu", "Zeng Dai", "Ren Liu" ]	[]	[]	[]
VAST	2,018	VIS Author Profiles: Interactive Descriptions of Publication Records Combining Text and Visualization	10.1109/TVCG.2018.2865022	Publication records and collaboration networks are important for assessing the expertise and experience of researchers. Existing digital libraries show the raw publication lists in author profiles, whereas visualization techniques focus on specific subproblems. Instead, we look at publication records from various persp...	false	false	[ "Shahid Latif", "Fabian Beck 0001" ]	[]	[]	[]
VAST	2,018	VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning	10.1109/TVCG.2018.2864838	While many VA workflows make use of machine-learned models to support analytical tasks, VA workflows have become increasingly important in understanding and improving Machine Learning (ML) processes. In this paper, we propose an ontology (VIS4ML) for a subarea of VA, namely “VA-assisted ML”. The purpose of VIS4ML is to...	false	false	[ "Dominik Sacha", "Matthias Kraus", "Daniel A. Keim", "Min Chen 0001" ]	[]	[]	[]
VAST	2,018	Visual Abstraction of Large Scale Geospatial Origin-Destination Movement Data	10.1109/TVCG.2018.2864503	A variety of human movement datasets are represented in an Origin-Destination(OD) form, such as taxi trips, mobile phone locations, etc. As a commonly-used method to visualize OD data, flow map always fails to discover patterns of human mobility, due to massive intersections and occlusions of lines on a 2D geographical...	false	false	[ "Zhiguang Zhou", "Linhao Meng", "Cheng Tang", "Ying Zhao 0001", "Zhiyong Guo", "Miaoxin Hu", "Wei Chen 0001" ]	[]	[]	[]
VAST	2,018	Visual Analysis of the Temporal Evolution of Ensemble Forecast Sensitivities	10.1109/TVCG.2018.2864901	Ensemble sensitivity analysis (ESA) has been established in the atmospheric sciences as a correlation-based approach to determine the sensitivity of a scalar forecast quantity computed by a numerical weather prediction model to changes in another model variable at a different model state. Its applications include deter...	false	false	[ "Alexander Kumpf", "Marc Rautenhaus", "Michael Riemer", "Rüdiger Westermann" ]	[]	[]	[]
VAST	2,018	Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution	10.1109/TVCG.2018.2864769	To effectively assess the potential consequences of human interventions in model-driven analytics systems, we establish the concept of speculative execution as a visual analytics paradigm for creating user-steerable preview mechanisms. This paper presents an explainable, mixed-initiative topic modeling framework that i...	false	false	[ "Mennatallah El-Assady", "Fabian Sperrle", "Oliver Deussen", "Daniel A. Keim", "Christopher Collins 0001" ]	[]	[]	[]
VAST	2,018	Visual Progression Analysis of Event Sequence Data	10.1109/TVCG.2018.2864885	Event sequence data is common to a broad range of application domains, from security to health care to scholarly communication. This form of data captures information about the progression of events for an individual entity (e.g., a computer network device; a patient; an author) in the form of a series of time-stamped ...	false	false	[ "Shunan Guo", "Zhuochen Jin", "David Gotz", "Fan Du", "Hongyuan Zha", "Nan Cao" ]	[]	[]	[]
VAST	2,018	Vulnus: Visual Vulnerability Analysis for Network Security	10.1109/TVCG.2018.2865028	Vulnerabilities represent one of the main weaknesses of IT systems and the availability of consolidated official data, like CVE (Common Vulnerabilities and Exposures), allows for using them to compute the paths an attacker is likely to follow. However, even if patches are available, business constraints or lack of reso...	false	false	[ "Marco Angelini", "Graziano Blasilli", "Tiziana Catarci", "Simone Lenti", "Giuseppe Santucci" ]	[]	[]	[]
VAST	2,018	VUSphere: Visual Analysis of Video Utilization in Online Distance Education	10.1109/VAST.2018.8802383	Online Distance Education (ODE) provides massive course videos of various specialties for students across the country to learn professional knowledge anytime and anywhere. Analyzing the utilization of these videos from user log data can help academics better understand the learning process of students, evaluate the qua...	false	false	[ "Huan He", "Qinghua Zheng", "Bo Dong 0001" ]	[]	[]	[]
SciVis	2,018	A Declarative Grammar of Flexible Volume Visualization Pipelines	10.1109/TVCG.2018.2864841	This paper presents a declarative grammar for conveniently and effectively specifying advanced volume visualizations. Existing methods for creating volume visualizations either lack the flexibility to specify sophisticated visualizations or are difficult to use for those unfamiliar with volume rendering implementation ...	false	false	[ "Min Shih", "Charles Rozhon", "Kwan-Liu Ma" ]	[]	[]	[]
SciVis	2,018	A Study of the Trade-off Between Reducing Precision and Reducing Resolution for Data Analysis and Visualization	10.1109/TVCG.2018.2864853	There currently exist two dominant strategies to reduce data sizes in analysis and visualization: reducing the precision of the data, e.g., through quantization, or reducing its resolution, e.g., by subsampling. Both have advantages and disadvantages and both face fundamental limits at which the reduced information cea...	false	false	[ "Duong Hoang", "Pavol Klacansky", "Harsh Bhatia", "Peer-Timo Bremer", "Peter Lindstrom 0001", "Valerio Pascucci" ]	[]	[]	[]
SciVis	2,018	An Interactive Framework for Visualization of Weather Forecast Ensembles	10.1109/TVCG.2018.2864815	Numerical Weather Prediction (NWP) ensembles are commonly used to assess the uncertainty and confidence in weather forecasts. Spaghetti plots are conventional tools for meteorologists to directly examine the uncertainty exhibited by ensembles, where they simultaneously visualize isocontours of all ensemble members. To ...	false	false	[ "Bo Ma 0002", "Alireza Entezari" ]	[]	[]	[]
SciVis	2,018	CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data	10.1109/TVCG.2018.2864801	CoDDA (Copula-based Distribution Driven Analysis) is a flexible framework for large-scale multivariate datasets. A common strategy to deal with large-scale scientific simulation data is to partition the simulation domain and create statistical data summaries. Instead of storing the high-resolution raw data from the sim...	false	false	[ "Subhashis Hazarika", "Soumya Dutta", "Han-Wei Shen", "Jen-Ping Chen" ]	[]	[]	[]
SciVis	2,018	CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data	10.1109/TVCG.2018.2864850	Adaptive mesh refinement (AMR) is a key technology for large-scale simulations that allows for adaptively changing the simulation mesh resolution, resulting in significant computational and storage savings. However, visualizing such AMR data poses a significant challenge due to the difficulties introduced by the hierar...	false	false	[ "Feng Wang 0013", "Ingo Wald", "Qi Wu 0015", "Will Usher 0001", "Christopher R. Johnson 0001" ]	[]	[]	[]
SciVis	2,018	Culling for Extreme-Scale Segmentation Volumes: A Hybrid Deterministic and Probabilistic Approach	10.1109/TVCG.2018.2864847	With the rapid increase in raw volume data sizes, such as terabyte-sized microscopy volumes, the corresponding segmentation label volumes have become extremely large as well. We focus on integer label data, whose efficient representation in memory, as well as fast random data access, pose an even greater challenge than...	false	false	[ "Johanna Beyer", "Haneen Mohammed", "Marco Agus", "Ali K. Al-Awami", "Hanspeter Pfister", "Markus Hadwiger" ]	[]	[]	[]
SciVis	2,018	Deadeye: A Novel Preattentive Visualization Technique Based on Dichoptic Presentation	10.1109/TVCG.2018.2864498	Preattentive visual features such as hue or flickering can effectively draw attention to an object of interest - for instance, an important feature in a scientific visualization. These features appear to pop out and can be recognized by our visual system, independently from the number of distractors. Most cues do not t...	false	false	[ "Andrey Krekhov", "Jens H. Krüger" ]	[ "BP" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2101.07048v1", "icon": "paper" } ]
SciVis	2,018	Details-First, Show Context, Overview Last: Supporting Exploration of Viscous Fingers in Large-Scale Ensemble Simulations	10.1109/TVCG.2018.2864849	Visualization research often seeks designs that first establish an overview of the data, in accordance to the information seeking mantra: “Overview first, zoom and filter, then details on demand”. However, in computational fluid dynamics (CFD), as well as in other domains, there are many situations where such a spatial...	false	false	[ "Timothy Luciani", "Andrew Thomas Burks", "Cassiano Sugiyama", "Jonathan Komperda", "G. Elisabeta Marai" ]	[]	[]	[]
SciVis	2,018	DT-MRI Streamsurfaces Revisited	10.1109/TVCG.2018.2864845	DT-MRI streamsurfaces, defined as surfaces that are everywhere tangential to the major and medium eigenvector fields, have been proposed as a tool for visualizing regions of predominantly planar behavior in diffusion tensor MRI. Even though it has long been known that their construction assumes that the involved eigenv...	false	false	[ "Michael Ankele", "Thomas Schultz 0001" ]	[]	[]	[]
SciVis	2,018	Dynamic Volume Lines: Visual Comparison of 3D Volumes through Space-filling Curves	10.1109/TVCG.2018.2864510	The comparison of many members of an ensemble is difficult, tedious, and error-prone, which is aggravated by often just subtle differences. In this paper, we introduce Dynamic Volume Lines for the interactive visual analysis and comparison of sets of 3D volumes. Each volume is linearized along a Hilbert space-filling c...	false	false	[ "Johannes Weissenböck", "Bernhard Fröhler", "M. Eduard Gröller", "Johann Kastner", "Christoph Heinzl" ]	[]	[]	[]
SciVis	2,018	Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps	10.1109/TVCG.2018.2864808	We present a novel visual representation and interface named the matrix of isosurface similarity maps (MISM) for effective exploration of large time-varying multivariate volumetric data sets. MISM synthesizes three types of similarity maps (i.e., self, temporal, and variable similarity maps) to capture the essential re...	false	false	[ "Jun Tao 0002", "Martin Imre", "Chaoli Wang 0001", "Nitesh V. Chawla", "Hanqi Guo 0001", "Gokhan Sever", "Seung Hyun Kim" ]	[]	[]	[]
SciVis	2,018	Firefly: Virtual Illumination Drones for Interactive Visualization	10.1109/TVCG.2018.2864656	Light specification in three dimensional scenes is a complex problem and several approaches have been presented that aim to automate this process. However, there are many scenarios where a static light setup is insufficient, as the scene content and camera position may change. Simultaneous manual control over the camer...	false	false	[ "Sergej Stoppel", "Magnus Paulson Erga", "Stefan Bruckner" ]	[ "HM" ]	[]	[]
SciVis	2,018	Gaia Sky: Navigating the Gaia Catalog	10.1109/TVCG.2018.2864508	In this paper, we present Gaia Sky, a free and open-source multiplatform 3D Universe system, developed since 2014 in the Data Processing and Analysis Consortium framework of ESA's Gaia mission. Gaia's data release 2 represents the largest catalog of the stars of our Galaxy, comprising 1.3 billion star positions, with p...	false	false	[ "Antoni Sagristà", "Stefan Jordan", "Thomas Müller 0005", "Filip Sadlo" ]	[]	[]	[]
SciVis	2,018	Hexahedral Mesh Structure Visualization and Evaluation	10.1109/TVCG.2018.2864827	Understanding hexahedral (hex-) mesh structures is important for a number of hex-mesh generation and optimization tasks. However, due to various configurations of the singularities in a valid pure hex-mesh, the structure (or base complex) of the mesh can be arbitrarily complex. In this work, we present a first and effe...	false	false	[ "Kaoji Xu", "Guoning Chen" ]	[]	[]	[]
SciVis	2,018	Interactive 3D Visual Analysis of Atmospheric Fronts	10.1109/TVCG.2018.2864806	Atmospheric fronts play a central role in meteorology, as the boundaries between different air masses and as fundamental features of extra-tropical cyclones. They appear in numerous conceptual model depictions of extra-tropical weather systems. Conceptually, fronts are three-dimensional surfaces in space possessing an ...	false	false	[ "Michael Kern", "Tim Hewson", "Andreas Schäfler", "Rüdiger Westermann", "Marc Rautenhaus" ]	[]	[]	[]
SciVis	2,018	Interactive obstruction-free lensing for volumetric data visualization	10.1109/TVCG.2018.2864690	Occlusion is an issue in volumetric visualization as it prevents direct visualization of the region of interest. While many techniques such as transfer functions, volume segmentation or view distortion have been developed to address this, there is still room for improvement to better support the understanding of object...	false	false	[ "Michael Traoré", "Christophe Hurter", "Alexandru C. Telea" ]	[]	[]	[]
SciVis	2,018	Interactive Visualization of 3D Histopathology in Native Resolution	10.1109/TVCG.2018.2864816	We present a visualization application that enables effective interactive visual analysis of large-scale 3D histopathology, that is, high-resolution 3D microscopy data of human tissue. Clinical work flows and research based on pathology have, until now, largely been dominated by 2D imaging. As we will show in the paper...	false	false	[ "Martin Falk", "Anders Ynnerman", "Darren Treanor", "Claes Lundström" ]	[]	[]	[]
SciVis	2,018	Interactive Visualization of RNA and DNA Structures	10.1109/TVCG.2018.2864507	The analysis and visualization of nucleic acids (RNA and DNA) is playing an increasingly important role due to their fundamental importance for all forms of life and the growing number of known 3D structures of such molecules. The great complexity of these structures, in particular, those of RNA, demands interactive vi...	false	false	[ "Norbert Lindow", "Daniel Baum", "Morgan Leborgne", "Hans-Christian Hege" ]	[]	[]	[]
SciVis	2,018	Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments	10.1109/TVCG.2018.2864491	Labeling is intrinsically important for exploring and understanding complex environments and models in a variety of domains. We present a method for interactive labeling of crowded 3D scenes containing very many instances of objects spanning multiple scales in size. In contrast to previous labeling methods, we target c...	false	false	[ "David Kouril", "Ladislav Cmolík", "Barbora Kozlíková", "Hsiang-Yun Wu", "Graham Johnson", "David S. Goodsell", "Arthur J. Olson", "M. Eduard Gröller", "Ivan Viola" ]	[ "HM" ]	[]	[]
SciVis	2,018	Objective Vortex Corelines of Finite-sized Objects in Fluid Flows	10.1109/TVCG.2018.2864828	Vortices are one of the most-frequently studied phenomena in fluid flows. The center of the rotating motion is called the vortex coreline and its successful detection strongly depends on the choice of the reference frame. The optimal frame moves with the center of the vortex, which incidentally makes the observed fluid...	false	false	[ "Tobias Günther", "Holger Theisel" ]	[]	[]	[]
SciVis	2,018	Persistence Atlas for Critical Point Variability in Ensembles	10.1109/TVCG.2018.2864432	This paper presents a new approach for the visualization and analysis of the spatial variability of features of interest represented by critical points in ensemble data. Our framework, called Persistence Atlas, enables the visualization of the dominant spatial patterns of critical points, along with statistics regardin...	false	false	[ "Guillaume Favelier", "Noura Faraj", "Brian Summa", "Julien Tierny" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1807.11212v1", "icon": "paper" } ]
SciVis	2,018	Probabilistic Asymptotic Decider for Topological Ambiguity Resolution in Level-Set Extraction for Uncertain 2D Data	10.1109/TVCG.2018.2864505	We present a framework for the analysis of uncertainty in isocontour extraction. The marching squares (MS) algorithm for isocontour reconstruction generates a linear topology that is consistent with hyperbolic curves of a piecewise bilinear interpolation. The saddle points of the bilinear interpolant cause topological ...	false	false	[ "Tushar M. Athawale", "Christopher R. Johnson 0001" ]	[]	[]	[]
SciVis	2,018	Recirculation Surfaces for Flow Visualization	10.1109/TVCG.2018.2864813	We present a formal approach to the visual analysis of recirculation in flows by introducing recirculation surfaces for 3D unsteady flow fields. Recirculation surfaces are the loci where massless particle integration returns to its starting point after some variable, finite integration. We give a rigorous definition of...	false	false	[ "Thomas Wilde", "Christian Rössl", "Holger Theisel" ]	[]	[]	[]
SciVis	2,018	Robust and Fast Extraction of 3D Symmetric Tensor Field Topology	10.1109/TVCG.2018.2864768	3D symmetric tensor fields appear in many science and engineering fields, and topology-driven analysis is important in many of these application domains, such as solid mechanics and fluid dynamics. Degenerate curves and neutral surfaces are important topological features in 3D symmetric tensor fields. Existing methods ...	false	false	[ "Lawrence Roy", "Prashant Kumar", "Yue Zhang 0009", "Eugene Zhang" ]	[]	[]	[]
SciVis	2,018	Shared-Memory Parallel Computation of Morse-Smale Complexes with Improved Accuracy	10.1109/TVCG.2018.2864848	Topological techniques have proven to be a powerful tool in the analysis and visualization of large-scale scientific data. In particular, the Morse-Smale complex and its various components provide a rich framework for robust feature definition and computation. Consequently, there now exist a number of approaches to com...	false	false	[ "Attila Gyulassy", "Peer-Timo Bremer", "Valerio Pascucci" ]	[]	[]	[]
SciVis	2,018	Tensor Field Visualization using Fiber Surfaces of Invariant Space	10.1109/TVCG.2018.2864846	Scientific visualization developed successful methods for scalar and vector fields. For tensor fields, however, effective, interactive visualizations are still missing despite progress over the last decades. We present a general approach for the generation of separating surfaces in symmetric, second-order, three-dimens...	false	false	[ "Felix Raith", "Christian Blecha", "Thomas Nagel", "Francesco Parisio", "Olaf Kolditz", "Fabian Günther", "Markus Stommel", "Gerik Scheuermann" ]	[]	[]	[]
SciVis	2,018	Time-Dependent Flow seen through Approximate Observer Killing Fields	10.1109/TVCG.2018.2864839	Flow fields are usually visualized relative to a global observer, i.e., a single frame of reference. However, often no global frame can depict all flow features equally well. Likewise, objective criteria for detecting features such as vortices often use either a global reference frame, or compute a separate frame for e...	false	false	[ "Markus Hadwiger", "Matej Mlejnek", "Thomas Theußl", "Peter Rautek" ]	[]	[]	[]
SciVis	2,018	Visual Analysis of Aneurysm Data using Statistical Graphics	10.1109/TVCG.2018.2864509	This paper presents a framework to explore multi-field data of aneurysms occurring at intracranial and cardiac arteries by using statistical graphics. The rupture of an aneurysm is often a fatal scenario, whereas during treatment serious complications for the patient can occur. Whether an aneurysm ruptures or whether a...	false	false	[ "Monique Meuschke", "Tobias Günther", "Philipp Berg", "Ralph Wickenhöfer", "Bernhard Preim", "Kai Lawonn" ]	[]	[]	[]
SciVis	2,018	Visual Analysis of Spatia-temporal Relations of Pairwise Attributes in Unsteady Flow	10.1109/TVCG.2018.2864817	Despite significant advances in the analysis and visualization of unsteady flow, the interpretation of it's behavior still remains a challenge. In this work, we focus on the linear correlation and non-linear dependency of different physical attributes of unsteady flows to aid their study from a new perspective. Specifi...	false	false	[ "Marzieh Berenjkoub", "Rodolfo Ostilla Monico", "Robert S. Laramee", "Guoning Chen" ]	[]	[]	[]
SciVis	2,018	Visualization of Bubble Formation in Porous Media	10.1109/TVCG.2018.2864506	We present a visualization approach for the analysis of CO2bubble-induced attenuation in porous rock formations. As a basis for this, we introduce customized techniques to extract CO2bubbles and their surrounding porous structure from X-ray computed tomography data (XCT) measurements. To understand how the structure of...	false	false	[ "Hui Zhang 0027", "Steffen Frey", "Holger Steeb", "David Uribe", "Thomas Ertl", "Wenping Wang" ]	[]	[]	[]
SciVis	2,018	Visualization of Large Molecular Trajectories	10.1109/TVCG.2018.2864851	The analysis of protein-ligand interactions is a time-intensive task. Researchers have to analyze multiple physico-chemical properties of the protein at once and combine them to derive conclusions about the protein-ligand interplay. Typically, several charts are inspected, and 3D animations can be played side-by-side t...	false	false	[ "David Duran", "Pedro Hermosilla", "Timo Ropinski", "Barbora Kozlíková", "Àlvar Vinacua", "Pere-Pau Vázquez" ]	[]	[]	[]
SciVis	2,018	Visualization of Neuronal Structures in Wide-Field Microscopy Brain Images	10.1109/TVCG.2018.2864852	Wide-field microscopes are commonly used in neurobiology for experimental studies of brain samples. Available visualization tools are limited to electron, two-photon, and confocal microscopy datasets, and current volume rendering techniques do not yield effective results when used with wide-field data. We present a wor...	false	false	[ "Saeed Boorboor", "Shreeraj Jadhav", "Mala Ananth 0001", "David Talmage", "Lorna Role", "Arie E. Kaufman" ]	[]	[]	[]
InfoVis	2,018	A Declarative Rendering Model for Multiclass Density Maps	10.1109/TVCG.2018.2865141	Multiclass maps are scatterplots, multidimensional projections, or thematic geographic maps where data points have a categorical attribute in addition to two quantitative attributes. This categorical attribute is often rendered using shape or color, which does not scale when overplotting occurs. When the number of data...	false	false	[ "Jaemin Jo", "Frédéric Vernier", "Pierre Dragicevic", "Jean-Daniel Fekete" ]	[]	[]	[]
InfoVis	2,018	A Framework for Creative Visualization-Opportunities Workshops	10.1109/TVCG.2018.2865241	Applied visualization researchers often work closely with domain collaborators to explore new and useful applications of visualization. The early stages of collaborations are typically time consuming for all stakeholders as researchers piece together an understanding of domain challenges from disparate discussions and ...	false	false	[ "Ethan Kerzner", "Sarah Goodwin", "Jason Dykes", "Sara Jones 0001", "Miriah D. Meyer" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1808.02502v1", "icon": "paper" } ]
InfoVis	2,018	A Framework for Externalizing Implicit Error Using Visualization	10.1109/TVCG.2018.2864913	This paper presents a framework for externalizing and analyzing expert knowledge about discrepancies in data through the use of visualization. Grounded in an 18-month design study with global health experts, the framework formalizes the notion of data discrepancies as implicit error, both in global health data and more...	false	false	[ "Nina McCurdy", "Julie Gerdes", "Miriah D. Meyer" ]	[]	[]	[]
InfoVis	2,018	A Heuristic Approach to Value-Driven Evaluation of Visualizations	10.1109/TVCG.2018.2865146	Recently, an approach for determining the value of a visualization was proposed, one moving beyond simple measurements of task accuracy and speed. The value equation contains components for the time savings a visualization provides, the insights and insightful questions it spurs, the overall essence of the data it conv...	false	false	[ "Emily Wall", "Meeshu Agnihotri", "Laura E. Matzen", "Kristin Divis", "Michael J. Haass", "Alex Endert", "John T. Stasko" ]	[]	[]	[]
InfoVis	2,018	At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity	10.1109/TVCG.2018.2865264	When inspecting information visualizations under time critical settings, such as emergency response or monitoring the heart rate in a surgery room, the user only has a small amount of time to view the visualization “at a glance”. In these settings, it is important to provide a quantitative measure of the visualization ...	false	false	[ "Gabriel Ryan", "Abigail Mosca", "Remco Chang", "Eugene Wu 0002" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1811.03180v1", "icon": "paper" } ]
InfoVis	2,018	Augmenting Visualizations with Interactive Data Facts to Facilitate Interpretation and Communication	10.1109/TVCG.2018.2865145	Recently, an increasing number of visualization systems have begun to incorporate natural language generation (NLG) capabilities into their interfaces. NLG-based visualization systems typically leverage a suite of statistical functions to automatically extract key facts about the underlying data and surface them as nat...	false	false	[ "Arjun Srinivasan", "Steven Mark Drucker", "Alex Endert", "John T. Stasko" ]	[]	[]	[]
InfoVis	2,018	Charticulator: Interactive Construction of Bespoke Chart Layouts	10.1109/TVCG.2018.2865158	We present Charticulator, an interactive authoring tool that enables the creation of bespoke and reusable chart layouts. Charticulator is our response to most existing chart construction interfaces that require authors to choose from predefined chart layouts, thereby precluding the construction of novel charts. In cont...	false	false	[ "Donghao Ren", "Bongshin Lee", "Matthew Brehmer" ]	[ "HM" ]	[]	[]

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