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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	2,018	CrowdLayout: Crowdsourced Design and Evaluation of Biological Network Visualizations	10.1145/3173574.3173806	Biologists often perform experiments whose results generate large quantities of data, such as interactions between molecules in a cell, that are best represented as networks (graphs). To visualize these networks and communicate them in publications, biologists must manually position the nodes and edges of each network ...	false	false	[ "Divit P. Singh", "Lee Lisle", "T. M. Murali 0001", "Kurt Luther" ]	[]	[]	[]
CHI	2,018	Data Illustrator: Augmenting Vector Design Tools with Lazy Data Binding for Expressive Visualization Authoring	10.1145/3173574.3173697	Building graphical user interfaces for visualization authoring is challenging as one must reconcile the tension between flexible graphics manipulation and procedural visualization generation based on a graphical grammar or declarative languages. To better support designers' workflows and practices, we propose Data Illu...	false	false	[ "Zhicheng Liu 0001", "John Thompson 0002", "Alan Wilson 0004", "Mira Dontcheva", "James Delorey", "Sam Grigg", "Bernard Kerr", "John T. Stasko" ]	[ "BP" ]	[]	[]
CHI	2,018	DataInk: Direct and Creative Data-Oriented Drawing	10.1145/3173574.3173797	Creating whimsical, personal data visualizations remains a challenge due to a lack of tools that enable for creative visual expression while providing support to bind graphical content to data. Many data analysis and visualization creation tools target the quick generation of visual representations, but lack the functi...	false	false	[ "Haijun Xia", "Nathalie Henry Riche", "Fanny Chevalier", "Bruno Rodrigues De Araújo", "Daniel Wigdor" ]	[ "HM" ]	[]	[]
CHI	2,018	Design Patterns for Data Comics	10.1145/3173574.3173612	Data comics for data-driven storytelling are inspired by the visual language of comics and aim to communicate insights in data through visualizations. While comics are widely known, few examples of data comics exist and there has not been any structured analysis nor guidance for their creation. We introduce data-comic ...	false	false	[ "Benjamin Bach", "Zezhong Wang 0001", "Matteo Farinella", "Dave Murray-Rust", "Nathalie Henry Riche" ]	[]	[]	[]
CHI	2,018	Dream Lens: Exploration and Visualization of Large-Scale Generative Design Datasets	10.1145/3173574.3173943	This paper presents Dream Lens, an interactive visual analysis tool for exploring and visualizing large-scale generative design datasets. Unlike traditional computer aided design, where users create a single model, with generative design, users specify high-level goals and constraints, and the system automatically gene...	false	false	[ "Justin Matejka", "Michael Glueck", "Erin Bradner", "Ali Hashemi 0001", "Tovi Grossman", "George W. Fitzmaurice" ]	[]	[]	[]
CHI	2,018	Experiential Augmentation: Uncovering The Meaning of Qualitative Visualizations when Applied to Augmented Objects	10.1145/3173574.3174064	As we move toward commercial usage of ubiquitous computing and augmented reality, it is important to think about how computing should communicate with us when it is distributed in our environment. This paper proposes that qualitative indexical visualizations based on learned understanding of physical phenomena (Experie...	false	false	[ "Dixon Lo", "Dan Lockton", "Stacie Rohrbach" ]	[]	[]	[]
CHI	2,018	Exploration and Explanation in Computational Notebooks	10.1145/3173574.3173606	Computational notebooks combine code, visualizations, and text in a single document. Researchers, data analysts, and even journalists are rapidly adopting this new medium. We present three studies of how they are using notebooks to document and share exploratory data analyses. In the first, we analyzed over 1 million c...	false	false	[ "Adam Rule", "Aurélien Tabard", "James D. Hollan" ]	[ "HM" ]	[]	[]
CHI	2,018	Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals	10.1145/3173574.3173602	Digital self-tracking technologies offer many potential benefits over self-tracking with paper notebooks. However, they are often too rigid to support people's practical and emotional needs in everyday settings. To inform the design of more flexible self-tracking tools, we examine bullet journaling: an analogue and cus...	false	false	[ "Amid Ayobi", "Tobias Sonne", "Paul Marshall", "Anna L. Cox" ]	[]	[]	[]
CHI	2,018	Frames and Slants in Titles of Visualizations on Controversial Topics	10.1145/3173574.3174012	Slanted framing in news article titles induce bias and influence recall. While recent studies found that viewers focus extensively on titles when reading visualizations, the impact of titles in visualization remains underexplored. We study frames in visualization titles, and how the slanted framing of titles and the vi...	false	false	[ "Ha Kyung Kong", "Zhicheng Liu 0001", "Karrie Karahalios" ]	[]	[]	[]
CHI	2,018	HomeFinder Revisited: Finding Ideal Homes with Reachability-Centric Multi-Criteria Decision Making	10.1145/3173574.3173821	Finding an ideal home is a difficult and laborious process. One of the most crucial factors in this process is the reachability between the home location and the concerned points of interest, such as places of work and recreational facilities. However, such importance is unrecognized in the extant real estate systems. ...	false	false	[ "Di Weng", "Heming Zhu", "Jie Bao 0003", "Yu Zheng 0004", "Yingcai Wu" ]	[]	[]	[]
CHI	2,018	InfoNice: Easy Creation of Information Graphics	10.1145/3173574.3173909	Information graphics are widely used to convey messages and present insights in data effectively. However, creating expressive data-driven infographics remains a great challenge for general users without design expertise. We present InfoNice, a visualization design tool that enables users to easily create data-driven i...	false	false	[ "Yun Wang 0012", "Haidong Zhang", "He Huang", "Xi Chen", "Qiufeng Yin", "Zhitao Hou", "Dongmei Zhang 0001", "Qiong Luo 0001", "Huamin Qu" ]	[]	[]	[]
CHI	2,018	Investigating the Effect of the Multiple Comparisons Problem in Visual Analysis	10.1145/3173574.3174053	The goal of a visualization system is to facilitate dataset-driven insight discovery. But what if the insights are spurious? Features or patterns in visualizations can be perceived as relevant insights, even though they may arise from noise. We often compare visualizations to a mental image of what we are interested in...	false	false	[ "Emanuel Zgraggen", "Zheguang Zhao", "Robert C. Zeleznik", "Tim Kraska" ]	[]	[]	[]
CHI	2,018	Looks Can Be Deceiving: Using Gaze Visualisation to Predict and Mislead Opponents in Strategic Gameplay	10.1145/3173574.3173835	In competitive co-located gameplay, players use their opponents' gaze to make predictions about their plans while simultaneously managing their own gaze to avoid giving away their plans. This socially competitive dimension is lacking in most online games, where players are out of sight of each other. We conducted a lab...	false	false	[ "Joshua Newn", "Fraser Allison", "Eduardo Velloso", "Frank Vetere" ]	[]	[]	[]
CHI	2,018	Methods for Intentional Encoding of High Capacity Human-Designable Visual Markers	10.1145/3173574.3173887	Previous techniques for human-designable visual markers have focused on small encoding spaces, and assume artists do not need to encode specific bit representations. We present a general framework for human-designable visual markers for artists to encode specific bit representations in large spaces. A three-part study,...	false	false	[ "Joshua D. A. Jung", "Daniel Vogel 0001" ]	[]	[]	[]
CHI	2,018	More Text Please! Understanding and Supporting the Use of Visualization for Clinical Text Overview	10.1145/3173574.3173996	Clinical practice is heavily reliant on the use of unstructured text to document patient stories due to its expressive and flexible nature. However, a physician's capacity to recover information from text for clinical overview is severely affected when records get longer and time pressure increases. Data visualization ...	false	false	[ "Nicole Sultanum", "Michael Brudno", "Daniel Wigdor", "Fanny Chevalier" ]	[ "HM" ]	[]	[]
CHI	2,018	Physical Keyboards in Virtual Reality: Analysis of Typing Performance and Effects of Avatar Hands	10.1145/3173574.3173919	Entering text is one of the most common tasks when interacting with computing systems. Virtual Reality (VR) presents a challenge as neither the user's hands nor the physical input devices are directly visible. Hence, conventional desktop peripherals are very slow, imprecise, and cumbersome. We developed a apparatus tha...	false	false	[ "Pascal Knierim", "Valentin Schwind", "Anna Maria Feit", "Florian Nieuwenhuizen", "Niels Henze" ]	[]	[]	[]
CHI	2,018	Pictures Worth a Thousand Words: Reflections on Visualizing Personal Blood Glucose Forecasts for Individuals with Type 2 Diabetes	10.1145/3173574.3174112	Type 2 Diabetes Mellitus (T2DM) is a common chronic condition that requires management of one's lifestyle, including nutrition. Critically, patients often lack a clear understanding of how everyday meals impact their blood glucose. New predictive analytics approaches can provide personalized mealtime blood glucose fore...	false	false	[ "Pooja M. Desai", "Matthew E. Levine", "David J. Albers", "Lena Mamykina" ]	[]	[]	[]
CHI	2,018	Self-Reflection and Personal Physicalization Construction	10.1145/3173574.3173728	Self-reflection is a central goal of personal informatics systems, and constructing visualizations from physical tokens has been found to help people reflect on data. However, so far, constructive physicalization has only been studied in lab environments with provided datasets. Our qualitative study investigates the co...	false	false	[ "Alice Thudt", "Uta Hinrichs", "Samuel Huron", "Sheelagh Carpendale" ]	[]	[]	[]
CHI	2,018	SpeechBubbles: Enhancing Captioning Experiences for Deaf and Hard-of-Hearing People in Group Conversations	10.1145/3173574.3173867	Deaf and hard-of-hearing (DHH) individuals encounter difficulties when engaged in group conversations with hearing individuals, due to factors such as simultaneous utterances from multiple speakers and speakers whom may be potentially out of view. We interviewed and co-designed with eight DHH participants to address th...	false	false	[ "Yi-Hao Peng", "Ming-Wei Hsu", "Paul Taele", "Ting-Yu Lin", "Po-En Lai", "Leon Hsu", "Tzu-Chuan Chen", "Te-Yen Wu", "Yu-An Chen", "Hsien-Hui Tang", "Mike Y. Chen" ]	[]	[]	[]
CHI	2,018	T-Cal: Understanding Team Conversational Data with Calendar-based Visualization	10.1145/3173574.3174074	Understanding team communication and collaboration patterns is critical for improving work efficiency in organizations. This paper presents an interactive visualization system, T-Cal, that supports the analysis of conversation data from modern team messaging platforms (e.g., Slack). T-Cal employs a user-familiar visual...	false	false	[ "Siwei Fu", "Jian Zhao 0010", "Hao Fei Cheng", "Haiyi Zhu", "Jennifer Marlow" ]	[]	[]	[]
CHI	2,018	Tangible Drops: A Visio-Tactile Display Using Actuated Liquid-Metal Droplets	10.1145/3173574.3173751	We present Tangible Drops, a visio-tactile display that for the first time provides physical visualization and tactile feedback using a planar liquid interface. It presents digital information interactively by tracing dynamic patterns on horizontal flat surfaces using liquid metal drops on a programmable electrode arra...	false	false	[ "Deepak Ranjan Sahoo", "Timothy Neate", "Yutaka Tokuda", "Jennifer Pearson 0001", "Simon Robinson 0001", "Sriram Subramanian", "Matt Jones 0001" ]	[]	[]	[]
CHI	2,018	The Effects of Adding Search Functionality to Interactive Visualizations on the Web	10.1145/3173574.3173711	The widespread use of text-based search in user interfaces has led designers in visualization to occasionally add search functionality to their creations. Yet it remains unclear how search may impact a person's behavior. Given the unstructured context of the web, users may not have explicit information-seeking goals an...	false	false	[ "Mi Feng", "Cheng Deng", "Evan M. Peck", "Lane Harrison" ]	[]	[]	[]
CHI	2,018	ThermoKiosk: Investigating Roles for Digital Surveys of Thermal Experience in Workplace Comfort Management	10.1145/3173574.3173956	Thermal comfort in shared workplaces is often contested and impacts productivity, wellbeing, and energy use. Yet, subjective and situated comfort experiences are rarely captured and engaged with. In this paper, we explore roles for digital surveys in capturing and visualising subjective experiences of comfort in situ f...	false	false	[ "Adrian K. Clear", "Samantha Mitchell Finnigan", "Patrick Olivier", "Rob Comber" ]	[]	[]	[]
CHI	2,018	TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media	10.1145/3173574.3174157	Detecting anomalous events of a particular area in a timely manner is an important task. Geo-tagged social media data are useful resource for this task; however, the abundance of everyday language in them makes this task still challenging. To address such challenges, we present TopicOnTiles, a visual analytics system t...	false	false	[ "Minsuk Choi", "Dear Sungbok Shin", "Jinho Choi 0005", "Scott Langevin", "Christopher Bethune", "Philippe Horne", "Nathan Kronenfeld", "Ramakrishnan Kannan", "Barry L. Drake", "Haesun Park", "Jaegul Choo" ]	[]	[]	[]
CHI	2,018	TopoText: Context-Preserving Text Data Exploration Across Multiple Spatial Scales	10.1145/3173574.3173611	TopoText is a context-preserving technique for visualizing text data for multi-scale spatial aggregates to gain insight into spatial phenomena. Conventional exploration requires users to navigate across multiple scales but only presents the information related to the current scale. This limitation potentially adds more...	false	false	[ "Jiawei Zhang 0003", "Chittayong Surakitbanharn", "Niklas Elmqvist", "Ross Maciejewski", "Zhenyu Cheryl Qian", "David S. Ebert" ]	[ "HM" ]	[]	[]
CHI	2,018	Towards Design Principles for Visual Analytics in Operations Contexts	10.1145/3173574.3173712	Operations engineering teams interact with complex data systems to make technical decisions that ensure the operational efficacy of their missions. To support these decision-making tasks, which may require elastic prioritization of goals dependent on changing conditions, custom analytics tools are often developed. We w...	false	false	[ "Matthew Conlen", "Sara Stalla", "Chelly Jin", "Maggie Hendrie", "Hillary Mushkin", "Santiago V. Lombeyda", "Scott Davidoff" ]	[]	[]	[]
CHI	2,018	Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making	10.1145/3173574.3173718	Everyday predictive systems typically present point predictions, making it hard for people to account for uncertainty when making decisions. Evaluations of uncertainty displays for transit prediction have assessed people's ability to extract probabilities, but not the quality of their decisions. In a controlled, incent...	false	false	[ "Michael Fernandes", "Logan Walls", "Sean Munson", "Jessica Hullman", "Matthew Kay 0001" ]	[ "HM" ]	[]	[]
CHI	2,018	Uncertainty Visualization Influences how Humans Aggregate Discrepant Information	10.1145/3173574.3174079	The number of sensors in our surroundings that provide the same information steadily increases. Since sensing is prone to errors, sensors may disagree. For example, a GPS-based tracker on the phone and a sensor on the bike wheel may provide discrepant estimates on traveled distance. This poses a user dilemma, namely ho...	false	false	[ "Miriam Greis", "Aditi Joshi", "Ken Singer", "Albrecht Schmidt 0001", "Tonja Machulla" ]	[]	[]	[]
CHI	2,018	Understanding Older Users' Acceptance of Wearable Interfaces for Sensor-based Fall Risk Assessment	10.1145/3173574.3173693	Algorithms processing data from wearable sensors promise to more accurately predict risks of falling -- a significant concern for older adults. Substantial engineering work is dedicated to increasing the prediction accuracy of these algorithms; yet fewer efforts are dedicated to better engaging users through interactiv...	false	false	[ "Alan Yusheng Wu", "Cosmin Munteanu" ]	[]	[]	[]
CHI	2,018	Using Animation to Alleviate Overdraw in Multiclass Scatterplot Matrices	10.1145/3173574.3173991	The scatterplot matrix (SPLOM) is a commonly used technique for visualizing multiclass multivariate data. However, multiclass SPLOMs have issues with overdraw (overlapping points), and most existing techniques for alleviating overdraw focus on individual scatterplots with a single class. This paper explores whether ani...	false	false	[ "Helen Chen", "Sophie Engle", "Alark Joshi", "Eric D. Ragan", "Beste F. Yuksel", "Lane Harrison" ]	[]	[]	[]
CHI	2,018	Visualizing API Usage Examples at Scale	10.1145/3173574.3174154	Using existing APIs properly is a key challenge in programming, given that libraries and APIs are increasing in number and complexity. Programmers often search for online code examples in Q&A forums and read tutorials and blog posts to learn how to use a given API. However, there are often a massive number of related c...	false	false	[ "Elena L. Glassman", "Tianyi Zhang 0001", "Björn Hartmann", "Miryung Kim" ]	[]	[]	[]
CHI	2,018	vrSocial: Toward Immersive Therapeutic VR Systems for Children with Autism	10.1145/3173574.3173778	Social communication frequently includes nuanced nonverbal communication cues, including eye contact, gestures, facial expressions, body language, and tone of voice. This type of communication is central to face-to-face interaction, but can be challenging for children and adults with autism. Innovative technologies can...	false	false	[ "LouAnne E. Boyd", "Saumya Gupta", "Sagar B. Vikmani", "Carlos M. Gutierrez", "Junxiang Yang", "Erik Linstead", "Gillian R. Hayes" ]	[]	[]	[]
CHI	2,018	What Moves Players?: Visual Data Exploration of Twitter and Gameplay Data	10.1145/3173574.3174134	In recent years, microblogging platforms have not only become an important communication channel for the game industry to generate and uphold audience interest but also a rich resource for gauging player opinion. In this paper we use data gathered from Twitter to examine which topics matter to players and to identify i...	false	false	[ "Christian Drescher", "Guenter Wallner", "Simone Kriglstein", "Rafet Sifa", "Anders Drachen", "Margit Pohl" ]	[]	[]	[]
CHI	2,018	What's the Difference?: Evaluating Variations of Multi-Series Bar Charts for Visual Comparison Tasks	10.1145/3173574.3173878	An increasingly common approach to data analysis involves using information dashboards to visually compare changing data. However, layout constraints coupled with varying levels of visualization literacy among dashboard users make facilitating visual comparison in dashboards a challenging task. In this paper, we evalua...	false	false	[ "Arjun Srinivasan", "Matthew Brehmer", "Bongshin Lee", "Steven Mark Drucker" ]	[]	[]	[]
CHI	2,018	When David Meets Goliath: Combining Smartwatches with a Large Vertical Display for Visual Data Exploration	10.1145/3173574.3173593	We explore the combination of smartwatches and a large interactive display to support visual data analysis. These two extremes of interactive surfaces are increasingly popular, but feature different characteristics-display and input modalities, personal/public use, performance, and portability. In this paper, we first ...	false	false	[ "Tom Horak", "Sriram Karthik Badam", "Niklas Elmqvist", "Raimund Dachselt" ]	[ "HM" ]	[]	[]
VAST	2,017	A Utility-Aware Visual Approach for Anonymizing Multi-Attribute Tabular Data	10.1109/TVCG.2017.2745139	Sharing data for public usage requires sanitization to prevent sensitive information from leaking. Previous studies have presented methods for creating privacy preserving visualizations. However, few of them provide sufficient feedback to users on how much utility is reduced (or preserved) during such a process. To add...	false	false	[ "Xumeng Wang", "Jia-Kai Chou", "Wei Chen 0001", "Huihua Guan", "Wenlong Chen", "Tianyi Lao", "Kwan-Liu Ma" ]	[]	[]	[]
VAST	2,017	A Visual Analytics System for Optimizing Communications in Massively Parallel Applications	10.1109/VAST.2017.8585646	Current and future supercomputers have tens of thousands of compute nodes interconnected with high-dimensional networks and complex network topologies for improved performance. Application developers are required to write scalable parallel programs in order to achieve high throughput on these machines. Application perf...	false	false	[ "Takanori Fujiwara", "Preeti Malakar", "Khairi Reda", "Venkatram Vishwanath", "Michael E. Papka", "Kwan-Liu Ma" ]	[]	[]	[]
VAST	2,017	A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations	10.1109/VAST.2017.8585720	Human-in-the-loop data analysis applications necessitate greater transparency in machine learning models for experts to understand and trust their decisions. To this end, we propose a visual analytics workflow to help data scientists and domain experts explore, diagnose, and understand the decisions made by a binary cl...	false	false	[ "Josua Krause", "Aritra Dasgupta", "Jordan Swartz", "Yindalon Aphinyanagphongs", "Enrico Bertini" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1705.01968v3", "icon": "paper" } ]
VAST	2,017	ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models	10.1109/TVCG.2017.2744718	While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these models remains a challenge. Despite the recent interest in developing visual tools to help users interpret deep learning models, the complexity and wide variety of models deployed in industry, and the lar...	false	false	[ "Minsuk Kahng", "Pierre Y. Andrews", "Aditya Kalro", "Polo Chau" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1704.01942v2", "icon": "paper" } ]
VAST	2,017	Analyzing the Training Processes of Deep Generative Models	10.1109/TVCG.2017.2744938	Among the many types of deep models, deep generative models (DGMs) provide a solution to the important problem of unsupervised and semi-supervised learning. However, training DGMs requires more skill, experience, and know-how because their training is more complex than other types of deep models such as convolutional n...	false	false	[ "Mengchen Liu", "Jiaxin Shi", "Kelei Cao", "Jun Zhu 0001", "Shixia Liu" ]	[]	[]	[]
VAST	2,017	Applying Pragmatics Principles for Interaction with Visual Analytics	10.1109/TVCG.2017.2744684	Interactive visual data analysis is most productive when users can focus on answering the questions they have about their data, rather than focusing on how to operate the interface to the analysis tool. One viable approach to engaging users in interactive conversations with their data is a natural language interface to...	false	false	[ "Enamul Hoque", "Vidya Setlur", "Melanie Tory", "Isaac Dykeman" ]	[]	[]	[]
VAST	2,017	Beyond Tasks: An Activity Typology for Visual Analytics	10.1109/TVCG.2017.2745180	As Visual Analytics (VA) research grows and diversifies to encompass new systems, techniques, and use contexts, gaining a holistic view of analytic practices is becoming ever more challenging. However, such a view is essential for researchers and practitioners seeking to develop systems for broad audiences that span mu...	false	false	[ "Darren Edge", "Nathalie Henry Riche", "Jonathan Larson", "Christopher M. White" ]	[]	[]	[]
VAST	2,017	BiDots: Visual Exploration of Weighted Biclusters	10.1109/TVCG.2017.2744458	Discovering and analyzing biclusters, i.e., two sets of related entities with close relationships, is a critical task in many real-world applications, such as exploring entity co-occurrences in intelligence analysis, and studying gene expression in bio-informatics. While the output of biclustering techniques can offer ...	false	false	[ "Jian Zhao 0010", "Maoyuan Sun", "Francine Chen 0001", "Patrick Chiu" ]	[]	[]	[]
VAST	2,017	Bring It to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis	10.1109/TVCG.2017.2745181	Analysts in professional team sport regularly perform analysis to gain strategic and tactical insights into player and team behavior. Goals of team sport analysis regularly include identification of weaknesses of opposing teams, or assessing performance and improvement potential of a coached team. Current analysis work...	false	false	[ "Manuel Stein", "Halldór Janetzko", "Andreas Lamprecht", "Thorsten Breitkreutz", "Philipp Zimmermann", "Bastian Goldlücke", "Tobias Schreck", "Gennady L. Andrienko", "Michael Grossniklaus", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,017	Clustering Trajectories by Relevant Parts for Air Traffic Analysis	10.1109/TVCG.2017.2744322	Clustering of trajectories of moving objects by similarity is an important technique in movement analysis. Existing distance functions assess the similarity between trajectories based on properties of the trajectory points or segments. The properties may include the spatial positions, times, and thematic attributes. Th...	false	false	[ "Gennady L. Andrienko", "Natalia V. Andrienko", "Georg Fuchs", "Jose Manuel Cordero Garcia" ]	[]	[]	[]
VAST	2,017	Clustervision: Visual Supervision of Unsupervised Clustering	10.1109/TVCG.2017.2745085	Clustering, the process of grouping together similar items into distinct partitions, is a common type of unsupervised machine learning that can be useful for summarizing and aggregating complex multi-dimensional data. However, data can be clustered in many ways, and there exist a large body of algorithms designed to re...	false	false	[ "Bum Chul Kwon", "Benjamin Eysenbach", "Janu Verma", "Kenney Ng", "Christopher deFilippi", "Walter F. Stewart", "Adam Perer" ]	[]	[]	[]
VAST	2,017	Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study	10.1109/TVCG.2017.2744818	Labeling data instances is an important task in machine learning and visual analytics. Both fields provide a broad set of labeling strategies, whereby machine learning (and in particular active learning) follows a rather model-centered approach and visual analytics employs rather user-centered approaches (visual-intera...	false	false	[ "Jürgen Bernard", "Marco Hutter 0002", "Matthias Zeppelzauer", "Dieter W. Fellner", "Michael Sedlmair" ]	[]	[]	[]
VAST	2,017	ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding	10.1109/TVCG.2017.2744478	Central to many text analysis methods is the notion of a concept: a set of semantically related keywords characterizing a specific object, phenomenon, or theme. Advances in word embedding allow building a concept from a small set of seed terms. However, naive application of such techniques may result in false positive ...	false	false	[ "Deok Gun Park 0001", "Seungyeon Kim", "Jurim Lee", "Jaegul Choo", "Nicholas Diakopoulos", "Niklas Elmqvist" ]	[]	[]	[]
VAST	2,017	CRICTO: Supporting Sensemaking through Crowdsourced Information Schematization	10.1109/VAST.2017.8585484	We present CRICTO, a new crowdsourcing visual analytics environment for making sense of and analyzing text data, whereby multiple crowdworkers are able to parallelize the simple information schematization tasks of relating and connecting entities across documents. The diverse links from these schematization tasks are t...	false	false	[ "Haeyong Chung", "Sai Prashanth Dasari", "Santhosh Nandhakumar", "Christopher Andrews" ]	[]	[]	[]
VAST	2,017	CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data	10.1109/VAST.2017.8585658	Social media data bear valuable insights regarding events that occur around the world. Events are inherently temporal and spatial. Existing visual text analysis systems have focused on detecting and analyzing past and ongoing events. Few have leveraged social media information to look for events that may occur in the f...	false	false	[ "Isaac Cho", "Ryan Wesslen", "Svitlana Volkova", "William Ribarsky", "Wenwen Dou" ]	[]	[]	[]
VAST	2,017	DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks	10.1109/TVCG.2017.2744358	Deep neural networks are now rivaling human accuracy in several pattern recognition problems. Compared to traditional classifiers, where features are handcrafted, neural networks learn increasingly complex features directly from the data. Instead of handcrafting the features, it is now the network architecture that is ...	false	false	[ "Nicola Pezzotti", "Thomas Höllt", "Jan C. van Gemert", "Boudewijn P. F. Lelieveldt", "Elmar Eisemann", "Anna Vilanova" ]	[]	[]	[]
VAST	2,017	Do Convolutional Neural Networks Learn Class Hierarchy?	10.1109/TVCG.2017.2744683	Convolutional Neural Networks (CNNs) currently achieve state-of-the-art accuracy in image classification. With a growing number of classes, the accuracy usually drops as the possibilities of confusion increase. Interestingly, the class confusion patterns follow a hierarchical structure over the classes. We present visu...	false	false	[ "Bilal Alsallakh", "Amin Jourabloo", "Mao Ye", "Xiaoming Liu 0002", "Ren Liu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1710.06501v1", "icon": "paper" } ]
VAST	2,017	Dynamic Influence Networks for Rule-Based Models	10.1109/TVCG.2017.2745280	We introduce the Dynamic Influence Network (DIN), a novel visual analytics technique for representing and analyzing rule-based models of protein-protein interaction networks. Rule-based modeling has proved instrumental in developing biological models that are concise, comprehensible, easily extensible, and that mitigat...	false	false	[ "Angus G. Forbes", "Andrew Thomas Burks", "Kristine Lee", "Xing Li", "Pierre Boutillier", "Jean Krivine", "Walter Fontana" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1711.00967v1", "icon": "paper" } ]
VAST	2,017	E-Map: A Visual Analytics Approach for Exploring Significant Event Evolutions in Social Media	10.1109/VAST.2017.8585638	Significant events are often discussed and spread through social media, involving many people. Reposting activities and opinions expressed in social media offer good opportunities to understand the evolution of events. However, the dynamics of reposting activities and the diversity of user comments pose challenges to u...	false	false	[ "Siming Chen 0001", "Shuai Chen 0001", "Lijing Lin", "Xiaoru Yuan", "Christy Jie Liang", "Xiaolong Zhang 0001" ]	[]	[]	[]
VAST	2,017	EVA: Visual Analytics to Identify Fraudulent Events	10.1109/TVCG.2017.2744758	Financial institutions are interested in ensuring security and quality for their customers. Banks, for instance, need to identify and stop harmful transactions in a timely manner. In order to detect fraudulent operations, data mining techniques and customer profile analysis are commonly used. However, these approaches ...	false	false	[ "Roger A. Leite", "Theresia Gschwandtner", "Silvia Miksch", "Simone Kriglstein", "Margit Pohl", "Erich Gstrein", "Johannes Kuntner" ]	[]	[]	[]
VAST	2,017	EventThread: Visual Summarization and Stage Analysis of Event Sequence Data	10.1109/TVCG.2017.2745320	Event sequence data such as electronic health records, a person's academic records, or car service records, are ordered series of events which have occurred over a period of time. Analyzing collections of event sequences can reveal common or semantically important sequential patterns. For example, event sequence analys...	false	false	[ "Shunan Guo", "Ke Xu", "Rongwen Zhao", "David Gotz", "Hongyuan Zha", "Nan Cao" ]	[]	[]	[]
VAST	2,017	Graphiti: Interactive Specification of Attribute-Based Edges for Network Modeling and Visualization	10.1109/TVCG.2017.2744843	Network visualizations, often in the form of node-link diagrams, are an effective means to understand relationships between entities, discover entities with interesting characteristics, and to identify clusters. While several existing tools allow users to visualize pre-defined networks, creating these networks from raw...	false	false	[ "Arjun Srinivasan", "Hyunwoo Park", "Alex Endert", "Rahul C. Basole" ]	[]	[]	[]
VAST	2,017	How Do Ancestral Traits Shape Family Trees Over Generations?	10.1109/TVCG.2017.2744080	Whether and how does the structure of family trees differ by ancestral traits over generations? This is a fundamental question regarding the structural heterogeneity of family trees for the multi-generational transmission research. However, previous work mostly focuses on parent-child scenarios due to the lack of prope...	false	false	[ "Siwei Fu", "Hao Dong 0008", "Weiwei Cui", "Jian Zhao 0010", "Huamin Qu" ]	[]	[]	[]
VAST	2,017	Interactive Visual Alignment of Medieval Text Versions	10.1109/VAST.2017.8585505	Textual criticism consists of the identification and analysis of variant readings among different versions of a text. Being a relatively simple task for modern languages, the collation of medieval text traditions ranges from the complex to the virtually impossible depending on the degree of instability of textual trans...	false	false	[ "Stefan Jänicke", "David Joseph Wrisley" ]	[]	[]	[]
VAST	2,017	LDSScanner: Exploratory Analysis of Low-Dimensional Structures in High-Dimensional Datasets	10.1109/TVCG.2017.2744098	Many approaches for analyzing a high-dimensional dataset assume that the dataset contains specific structures, e.g., clusters in linear subspaces or non-linear manifolds. This yields a trial-and-error process to verify the appropriate model and parameters. This paper contributes an exploratory interface that supports v...	false	false	[ "Jiazhi Xia", "Fenjin Ye", "Wei Chen 0001", "Yusi Wang", "Weifeng Chen 0002", "Yuxin Ma", "Anthony K. H. Tung" ]	[]	[]	[]
VAST	2,017	Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces	10.1109/VAST.2017.8585613	Subspace analysis methods have gained interest for identifying patterns in subspaces of high-dimensional data. Existing techniques allow to visualize and compare patterns in subspaces. However, many subspace analysis methods produce an abundant amount of patterns, which often remain redundant and are difficult to relat...	false	false	[ "Dominik Jäckle", "Michael Blumenschein", "Michael Behrisch 0001", "Daniel A. Keim", "Tobias Schreck" ]	[]	[]	[]
VAST	2,017	PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models	10.1109/TVCG.2017.2745118	PhenoLines is a visual analysis tool for the interpretation of disease subtypes, derived from the application of topic models to clinical data. Topic models enable one to mine cross-sectional patient comorbidity data (e.g., electronic health records) and construct disease subtypes-each with its own temporally evolving ...	false	false	[ "Michael Glueck", "Mahdi Pakdaman Naeini", "Finale Doshi-Velez", "Fanny Chevalier", "Azam Khan", "Daniel J. Wigdor", "Michael Brudno" ]	[]	[]	[]
VAST	2,017	Podium: Ranking Data Using Mixed-Initiative Visual Analytics	10.1109/TVCG.2017.2745078	People often rank and order data points as a vital part of making decisions. Multi-attribute ranking systems are a common tool used to make these data-driven decisions. Such systems often take the form of a table-based visualization in which users assign weights to the attributes representing the quantifiable importanc...	false	false	[ "Emily Wall", "Subhajit Das 0002", "Ravish Chawla", "Bharath Kalidindi", "Eli T. Brown", "Alex Endert" ]	[]	[]	[]
VAST	2,017	Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework	10.1109/TVCG.2017.2745080	Topic modeling algorithms are widely used to analyze the thematic composition of text corpora but remain difficult to interpret and adjust. Addressing these limitations, we present a modular visual analytics framework, tackling the understandability and adaptability of topic models through a user-driven reinforcement l...	false	false	[ "Mennatallah El-Assady", "Rita Sevastjanova", "Fabian Sperrle", "Daniel A. Keim", "Christopher Collins 0001" ]	[ "HM" ]	[]	[]
VAST	2,017	QSAnglyzer: Visual Analytics for Prismatic Analysis of Question Answering System Evaluations	10.1109/VAST.2017.8585733	Developing sophisticated artificial intelligence (AI) systems requires AI researchers to experiment with different designs and analyze results from evaluations (we refer this task as evaluation analysis). In this paper, we tackle the challenges of evaluation analysis in the domain of question-answering (QA) systems. Th...	false	false	[ "Nan-Chen Chen", "Been Kim" ]	[]	[]	[]
VAST	2,017	Sequence Synopsis: Optimize Visual Summary of Temporal Event Data	10.1109/TVCG.2017.2745083	Event sequences analysis plays an important role in many application domains such as customer behavior analysis, electronic health record analysis and vehicle fault diagnosis. Real-world event sequence data is often noisy and complex with high event cardinality, making it a challenging task to construct concise yet com...	false	false	[ "Yuanzhe Chen", "Panpan Xu", "Ren Liu" ]	[]	[]	[]
VAST	2,017	SkyLens: Visual Analysis of Skyline on Multi-Dimensional Data	10.1109/TVCG.2017.2744738	Skyline queries have wide-ranging applications in fields that involve multi-criteria decision making, including tourism, retail industry, and human resources. By automatically removing incompetent candidates, skyline queries allow users to focus on a subset of superior data items (i.e., the skyline), thus reducing the ...	false	false	[ "Xun Zhao", "Yanhong Wu", "Weiwei Cui", "Xinnan Du", "Yuan Chen", "Yong Wang 0021", "Dik Lun Lee", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1708.03462v2", "icon": "paper" } ]
VAST	2,017	SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance	10.1109/TVCG.2017.2744805	Clustering is a core building block for data analysis, aiming to extract otherwise hidden structures and relations from raw datasets, such as particular groups that can be effectively related, compared, and interpreted. A plethora of visual-interactive cluster analysis techniques has been proposed to date, however, arr...	false	false	[ "Dominik Sacha", "Matthias Kraus", "Jürgen Bernard", "Michael Behrisch 0001", "Tobias Schreck", "Yuki Asano", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,017	Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs	10.1109/TVCG.2017.2745279	During asynchronous collaborative analysis, handoff of partial findings is challenging because externalizations produced by analysts may not adequately communicate their investigative process. To address this challenge, we developed techniques to automatically capture and help encode tacit aspects of the investigative ...	false	false	[ "Jian Zhao 0010", "Michael Glueck", "Petra Isenberg", "Fanny Chevalier", "Azam Khan" ]	[ "HM" ]	[]	[]
VAST	2,017	The "y" of it Matters, Even for Storyline Visualization	10.1109/VAST.2017.8585487	Storylines are adept at communicating complex change by encoding time on the x-axis and using the proximity of lines in the y direction to represent interaction between entities. The original definition of a storyline visualization requires data defined in terms of explicit interaction groups. Relaxing this definition ...	false	false	[ "Dustin Arendt", "Meg Pirrung" ]	[]	[]	[]
VAST	2,017	The Anchoring Effect in Decision-Making with Visual Analytics	10.1109/VAST.2017.8585665	Anchoring effect is the tendency to focus too heavily on one piece of information when making decisions. In this paper, we present a novel, systematic study and resulting analyses that investigate the effects of anchoring effect on human decision-making using visual analytic systems. Visual analytics interfaces typical...	false	false	[ "Isaac Cho", "Ryan Wesslen", "Alireza Karduni", "Sashank Santhanam", "Samira Shaikh", "Wenwen Dou" ]	[]	[]	[]
VAST	2,017	The Interactive Visualization Gap in Initial Exploratory Data Analysis	10.1109/TVCG.2017.2743990	Data scientists and other analytic professionals often use interactive visualization in the dissemination phase at the end of a workflow during which findings are communicated to a wider audience. Visualization scientists, however, hold that interactive representation of data can also be used during exploratory analysi...	false	false	[ "Andrea Batch", "Niklas Elmqvist" ]	[]	[]	[]
VAST	2,017	The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics	10.1109/VAST.2017.8585498	Visual Analytics (VA) aims to combine the strengths of humans and computers for effective data analysis. In this endeavor, humans' tacit knowledge from prior experience is an important asset that can be leveraged by both human and computer to improve the analytic process. While VA environments are starting to include f...	false	false	[ "Paolo Federico 0001", "Markus Wagner 0008", "Alexander Rind", "Albert Amor-Amoros", "Silvia Miksch", "Wolfgang Aigner" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://research.fhstp.ac.at/content/download/89486/file/federico-wagner_2017_knava-model.pdf", "icon": "paper" } ]
VAST	2,017	Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics	10.1109/TVCG.2017.2745258	Dimension reduction algorithms and clustering algorithms are both frequently used techniques in visual analytics. Both families of algorithms assist analysts in performing related tasks regarding the similarity of observations and finding groups in datasets. Though initially used independently, recent works have incorp...	false	false	[ "John E. Wenskovitch", "Ian Crandell", "Naren Ramakrishnan", "Leanna House", "Scotland Leman", "Chris North 0001" ]	[]	[]	[]
VAST	2,017	TreePOD: Sensitivity-Aware Selection of Pareto-Optimal Decision Trees	10.1109/TVCG.2017.2745158	Balancing accuracy gains with other objectives such as interpretability is a key challenge when building decision trees. However, this process is difficult to automate because it involves know-how about the domain as well as the purpose of the model. This paper presents TreePOD, a new approach for sensitivity-aware mod...	false	false	[ "Thomas Mühlbacher", "Lorenz Linhardt", "Torsten Möller", "Harald Piringer" ]	[]	[]	[]
VAST	2,017	Understanding a Sequence of Sequences: Visual Exploration of Categorical States in Lake Sediment Cores	10.1109/TVCG.2017.2744686	This design study focuses on the analysis of a time sequence of categorical sequences. Such data is relevant for the geoscientific research field of landscape and climate development. It results from microscopic analysis of lake sediment cores. The goal is to gain hypotheses about landscape evolution and climate condit...	false	false	[ "Andrea Unger", "Nadine Drager", "Mike Sips", "Dirk J. Lehmann" ]	[]	[]	[]
VAST	2,017	Understanding Hidden Memories of Recurrent Neural Networks	10.1109/VAST.2017.8585721	Recurrent neural networks (RNNs) have been successfully applied to various natural language processing (NLP) tasks and achieved better results than conventional methods. However, the lack of understanding of the mechanisms behind their effectiveness limits further improvements on their architectures. In this paper, we ...	false	false	[ "Yao Ming", "Shaozu Cao", "Ruixiang Zhang", "Zhen Li 0044", "Yuanzhe Chen", "Yangqiu Song", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1710.10777v1", "icon": "paper" } ]
VAST	2,017	Understanding the Relationship Between Interactive Optimisation and Visual Analytics in the Context of Prostate Brachytherapy	10.1109/TVCG.2017.2744418	The fields of operations research and computer science have long sought to find automatic solver techniques that can find high-quality solutions to difficult real-world optimisation problems. The traditional workflow is to exactly model the problem and then enter this model into a general-purpose “black-box” solver. In...	false	false	[ "Jie Liu", "Tim Dwyer", "Kim Marriott", "Jeremy Millar", "Annette Haworth" ]	[]	[]	[]
VAST	2,017	VIGOR: Interactive Visual Exploration of Graph Query Results	10.1109/TVCG.2017.2744898	Finding patterns in graphs has become a vital challenge in many domains from biological systems, network security, to finance (e.g., finding money laundering rings of bankers and business owners). While there is significant interest in graph databases and querying techniques, less research has focused on helping analys...	false	false	[ "Robert S. Pienta", "Fred Hohman", "Alex Endert", "Acar Tamersoy", "Kevin A. Roundy", "Christopher Gates 0002", "Shamkant B. Navathe", "Polo Chau" ]	[]	[]	[]
VAST	2,017	Visual Causality Analysis Made Practical	10.1109/VAST.2017.8585647	Deriving the exact casual model that governs the relations between variables in a multidimensional dataset is difficult in practice. It is because causal inference algorithms by themselves typically cannot encode an adequate amount of domain knowledge to break all ties. Visual analytic approaches are considered a feasi...	false	false	[ "Jun Wang", "Klaus Mueller 0001" ]	[]	[]	[]
VAST	2,017	Visual Diagnosis of Tree Boosting Methods	10.1109/TVCG.2017.2744378	Tree boosting, which combines weak learners (typically decision trees) to generate a strong learner, is a highly effective and widely used machine learning method. However, the development of a high performance tree boosting model is a time-consuming process that requires numerous trial-and-error experiments. To tackle...	false	false	[ "Shixia Liu", "Jiannan Xiao", "Junlin Liu", "Xiting Wang", "Jing Wu 0004", "Jun Zhu 0001" ]	[]	[]	[]
VAST	2,017	Visualizing Big Data Outliers Through Distributed Aggregation	10.1109/TVCG.2017.2744685	Visualizing outliers in massive datasets requires statistical pre-processing in order to reduce the scale of the problem to a size amenable to rendering systems like D3, Plotly or analytic systems like R or SAS. This paper presents a new algorithm, calledhdoutliers, for detecting multidimensional outliers. It is unique...	false	false	[ "Leland Wilkinson" ]	[]	[]	[]
VAST	2,017	Visualizing Confidence in Cluster-Based Ensemble Weather Forecast Analyses	10.1109/TVCG.2017.2745178	In meteorology, cluster analysis is frequently used to determine representative trends in ensemble weather predictions in a selected spatio-temporal region, e.g., to reduce a set of ensemble members to simplify and improve their analysis. Identified clusters (i.e., groups of similar members), however, can be very sensi...	false	false	[ "Alexander Kumpf", "Bianca Tost", "Marlene Baumgart", "Michael Riemer", "Rüdiger Westermann", "Marc Rautenhaus" ]	[]	[]	[]
VAST	2,017	Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow	10.1109/TVCG.2017.2744878	We present a design study of the TensorFlow Graph Visualizer, part of the TensorFlow machine intelligence platform. This tool helps users understand complex machine learning architectures by visualizing their underlying dataflow graphs. The tool works by applying a series of graph transformations that enable standard l...	false	false	[ "Kanit Wongsuphasawat", "Daniel Smilkov", "James Wexler", "Jimbo Wilson", "Dan Mané", "Doug Fritz", "Dilip Krishnan", "Fernanda B. Viégas", "Martin Wattenberg" ]	[ "BP" ]	[]	[]
VAST	2,017	Visualizing Real-Time Strategy Games: The Example of StarCraft II	10.1109/VAST.2017.8585594	We present a visualization system for users to examine real-time strategy games, which have become very popular globally in recent years. Unlike previous systems that focus on showing statistics and build order, our system can depict the most important part - battles in the games. Specifically, we visualize detailed mo...	false	false	[ "Yen-Ting Kuan", "Yu-Shuen Wang", "Jung-Hong Chuang" ]	[]	[]	[]
VAST	2,017	Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data	10.1109/TVCG.2017.2744419	The increasing availability of spatiotemporal data continuously collected from various sources provides new opportunities for a timely understanding of the data in their spatial and temporal context. Finding abnormal patterns in such data poses significant challenges. Given that there is often no clear boundary between...	false	false	[ "Nan Cao", "Chaoguang Lin", "Qiuhan Zhu", "Yu-Ru Lin", "Xian Teng", "Xidao Wen" ]	[]	[]	[]
VAST	2,017	Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics	10.1109/VAST.2017.8585669	Visual analytic tools combine the complementary strengths of humans and machines in human-in-the-loop systems. Humans provide invaluable domain expertise and sensemaking capabilities to this discourse with analytic models; however, little consideration has yet been given to the ways inherent human biases might shape th...	false	false	[ "Emily Wall", "Leslie M. Blaha", "Lyndsey Franklin", "Alex Endert" ]	[]	[]	[]
SciVis	2,017	A Virtual Reality Visualization Tool for Neuron Tracing	10.1109/TVCG.2017.2744079	Tracing neurons in large-scale microscopy data is crucial to establishing a wiring diagram of the brain, which is needed to understand how neural circuits in the brain process information and generate behavior. Automatic techniques often fail for large and complex datasets, and connectomics researchers may spend weeks ...	false	false	[ "Will Usher 0001", "Pavol Klacansky", "Frederick Federer", "Peer-Timo Bremer", "Aaron Knoll", "Jeff Yarch", "Alessandra Angelucci", "Valerio Pascucci" ]	[]	[]	[]
SciVis	2,017	Abstractocyte: A Visual Tool for Exploring Nanoscale Astroglial Cells	10.1109/TVCG.2017.2744278	This paper presents Abstractocyte, a system for the visual analysis of astrocytes and their relation to neurons, in nanoscale volumes of brain tissue. Astrocytes are glial cells, i.e., non-neuronal cells that support neurons and the nervous system. The study of astrocytes has immense potential for understanding brain f...	false	false	[ "Haneen Mohammed", "Ali K. Al-Awami", "Johanna Beyer", "Corrado Calì", "Pierre J. Magistretti", "Hanspeter Pfister", "Markus Hadwiger" ]	[]	[]	[]
SciVis	2,017	Activity-Centered Domain Characterization for Problem-Driven Scientific Visualization	10.1109/TVCG.2017.2744459	Although visualization design models exist in the literature in the form of higher-level methodological frameworks, these models do not present a clear methodological prescription for the domain characterization step. This work presents a framework and end-to-end model for requirements engineering in problem-driven vis...	false	false	[ "G. Elisabeta Marai" ]	[]	[]	[]
SciVis	2,017	An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding	10.1109/TVCG.2017.2744078	In this paper, we propose a novel machine learning-based voxel classification method for highly-accurate volume rendering. Unlike conventional voxel classification methods that incorporate intensity-based features, the proposed method employs dictionary based features learned directly from the input data using hierarch...	false	false	[ "Tran Minh Quan", "Junyoung Choi", "Haejin Jeong", "Won-Ki Jeong" ]	[]	[]	[]
SciVis	2,017	BASTet: Shareable and Reproducible Analysis and Visualization of Mass Spectrometry Imaging Data via OpenMSI	10.1109/TVCG.2017.2744479	Mass spectrometry imaging (MSI) is a transformative imaging method that supports the untargeted, quantitative measurement of the chemical composition and spatial heterogeneity of complex samples with broad applications in life sciences, bioenergy, and health. While MSI data can be routinely collected, its broad applica...	false	false	[ "Oliver Rübel", "Benjamin P. Bowen" ]	[]	[]	[]
SciVis	2,017	Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks	10.1109/TVCG.2017.2744321	Complex networks require effective tools and visualizations for their analysis and comparison. Clique communities have been recognized as a powerful concept for describing cohesive structures in networks. We propose an approach that extends the computation of clique communities by considering persistent homology, a top...	false	false	[ "Bastian Rieck", "Ulderico Fugacci", "Jonas Lukasczyk", "Heike Leitte" ]	[]	[]	[]
SciVis	2,017	Decision Graph Embedding for High-Resolution Manometry Diagnosis	10.1109/TVCG.2017.2744299	High-resolution manometry is an imaging modality which enables the categorization of esophageal motility disorders. Spatio-temporal pressure data along the esophagus is acquired using a tubular device and multiple test swallows are performed by the patient. Current approaches visualize these swallows as individual inst...	false	false	[ "Julian Kreiser", "Alexander Hann", "Eugen Zizer", "Timo Ropinski" ]	[]	[]	[]
SciVis	2,017	Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing	10.1109/TVCG.2017.2744059	We propose a dynamically load-balanced algorithm for parallel particle tracing, which periodically attempts to evenly redistribute particles across processes based on k-d tree decomposition. Each process is assigned with (1) a statically partitioned, axis-aligned data block that partially overlaps with neighboring bloc...	false	false	[ "Jiang Zhang 0002", "Hanqi Guo 0001", "Fan Hong", "Xiaoru Yuan", "Tom Peterka" ]	[]	[]	[]
SciVis	2,017	Globe Browsing: Contextualized Spatio-Temporal Planetary Surface Visualization	10.1109/TVCG.2017.2743958	Results of planetary mapping are often shared openly for use in scientific research and mission planning. In its raw format, however, the data is not accessible to non-experts due to the difficulty in grasping the context and the intricate acquisition process. We present work on tailoring and integration of multiple da...	false	false	[ "Karl Bladin", "Emil Axelsson", "Erik Broberg", "Carter Emmart", "Patric Ljung", "Alexander Bock 0002", "Anders Ynnerman" ]	[ "BP" ]	[]	[]
SciVis	2,017	Instant Construction and Visualization of Crowded Biological Environments	10.1109/TVCG.2017.2744258	We present the first approach to integrative structural modeling of the biological mesoscale within an interactive visual environment. These complex models can comprise up to millions of molecules with defined atomic structures, locations, and interactions. Their construction has previously been attempted only within a...	false	false	[ "Tobias Klein", "Ludovic Autin", "Barbora Kozlíková", "David S. Goodsell", "Arthur J. Olson", "M. Eduard Gröller", "Ivan Viola" ]	[ "HM" ]	[]	[]
SciVis	2,017	Interactive Design and Visualization of Branched Covering Spaces	10.1109/TVCG.2017.2744038	Branched covering spaces are a mathematical concept which originates from complex analysis and topology and has applications in tensor field topology and geometry remeshing. Given a manifold surface and an$N$-way rotational symmetry field, a branched covering space is a manifold surface that has an$N$-to-1 map to the o...	false	false	[ "Lawrence Roy", "Prashant Kumar", "Sanaz Golbabaei", "Yue Zhang 0009", "Eugene Zhang" ]	[]	[]	[]
SciVis	2,017	Interactive Dynamic Volume Illumination with Refraction and Caustics	10.1109/TVCG.2017.2744438	In recent years, significant progress has been made in developing high-quality interactive methods for realistic volume illumination. However, refraction - despite being an important aspect of light propagation in participating media - has so far only received little attention. In this paper, we present a novel approac...	false	false	[ "Jens G. Magnus", "Stefan Bruckner" ]	[]	[]	[]
SciVis	2,017	Multiscale Visualization and Scale-Adaptive Modification of DNA Nanostructures	10.1109/TVCG.2017.2743981	We present an approach to represent DNA nanostructures in varying forms of semantic abstraction, describe ways to smoothly transition between them, and thus create a continuous multiscale visualization and interaction space for applications in DNA nanotechnology. This new way of observing, interacting with, and creatin...	false	false	[ "Haichao Miao", "Elisa De Llano", "Johannes Sorger", "Yasaman Ahmadi", "Tadija Kekic", "Tobias Isenberg 0001", "M. Eduard Gröller", "Ivan Barisic", "Ivan Viola" ]	[]	[]	[]

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