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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 29	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
VAST	2,016	Annotation Graphs: A Graph-Based Visualization for Meta-Analysis of Data Based on User-Authored Annotations	10.1109/TVCG.2016.2598543	User-authored annotations of data can support analysts in the activity of hypothesis generation and sensemaking, where it is not only critical to document key observations, but also to communicate insights between analysts. We present annotation graphs, a dynamic graph visualization that enables meta-analysis of data b...	false	false	[ "Jian Zhao 0010", "Michael Glueck", "Simon Breslav", "Fanny Chevalier", "Azam Khan" ]	[]	[]	[]
VAST	2,016	AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings	10.1109/TVCG.2016.2598446	Visual analytics techniques help users explore high-dimensional data. However, it is often challenging for users to express their domain knowledge in order to steer the underlying data model, especially when they have little attribute-level knowledge. Furthermore, users' complex, high-level domain knowledge, compared t...	false	false	[ "Bum Chul Kwon", "Hannah Kim", "Emily Wall", "Jaegul Choo", "Haesun Park", "Alex Endert" ]	[]	[]	[]
VAST	2,016	Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation	10.1109/TVCG.2016.2598472	Visually comparing human brain networks from multiple population groups serves as an important task in the field of brain connectomics. The commonly used brain network representation, consisting of nodes and edges, may not be able to reveal the most compelling network differences when the reconstructed networks are den...	false	false	[ "Xinsong Yang", "Lei Shi 0002", "Madelaine Daianu", "Hanghang Tong", "Qingsong Liu", "Paul M. Thompson" ]	[]	[]	[]
VAST	2,016	C2A: Crowd consensus analytics for virtual colonoscopy	10.1109/VAST.2016.7883508	We present a medical crowdsourcing visual analytics platform called C2A to visualize, classify and filter crowdsourced clinical data. More specifically, C2A is used to build consensus on a clinical diagnosis by visualizing crowd responses and filtering out anomalous activity. Crowdsourcing medical applications have rec...	false	false	[ "Ji Hwan Park", "Saad Nadeem", "Seyedkoosha Mirhosseini", "Arie E. Kaufman" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1810.09012v1", "icon": "paper" } ]
VAST	2,016	Characterizing Guidance in Visual Analytics	10.1109/TVCG.2016.2598468	Visual analytics (VA) is typically applied in scenarios where complex data has to be analyzed. Unfortunately, there is a natural correlation between the complexity of the data and the complexity of the tools to study them. An adverse effect of complicated tools is that analytical goals are more difficult to reach. Ther...	false	false	[ "Davide Ceneda", "Theresia Gschwandtner", "Thorsten May", "Silvia Miksch", "Hans-Jörg Schulz", "Marc Streit", "Christian Tominski" ]	[]	[]	[]
VAST	2,016	D-Map: Visual Analysis of Ego-centric Information Diffusion Patterns in Social Media	10.1109/VAST.2016.7883510	Popular social media platforms could rapidly propagate vital information over social networks among a significant number of people. In this work we present D-Map (Diffusion Map), a novel visualization method to support exploration and analysis of social behaviors during such information diffusion and propagation on typ...	false	false	[ "Siming Chen 0001", "Shuai Chen 0001", "Zhenhuang Wang", "Christy Jie Liang", "Xiaoru Yuan", "Nan Cao", "Yadong Wu" ]	[]	[]	[]
VAST	2,016	Designing Progressive and Interactive Analytics Processes for High-Dimensional Data Analysis	10.1109/TVCG.2016.2598470	In interactive data analysis processes, the dialogue between the human and the computer is the enabling mechanism that can lead to actionable observations about the phenomena being investigated. It is of paramount importance that this dialogue is not interrupted by slow computational mechanisms that do not consider any...	false	false	[ "Cagatay Turkay", "Erdem Kaya", "Selim Balcisoy", "Helwig Hauser" ]	[]	[]	[]
VAST	2,016	DimScanner: A Relation-based Visual Exploration Approach Towards Data Dimension Inspection	10.1109/VAST.2016.7883514	Exploring multi-dimensional datasets can be cumbersome if data analysts have little knowledge about the data. Various dimension relation inspection tools and dimension exploration tools have been proposed for efficient data examining and understanding. However, the needed workload varies largely with respect to data co...	false	false	[ "Jing Xia", "Wei Chen 0001", "Yumeng Hou", "Wanqi Hu", "Xinxin Huang", "David S. Ebert" ]	[]	[]	[]
VAST	2,016	DocuCompass: Effective exploration of document landscapes	10.1109/VAST.2016.7883507	The creation of interactive visualization to analyze text documents has gained an impressive momentum in recent years. This is not surprising in the light of massive and still increasing amounts of available digitized texts. Websites, social media, news wire, and digital libraries are just few examples of the diverse t...	false	false	[ "Florian Heimerl", "Markus John", "Qi Han 0006", "Steffen Koch 0001", "Thomas Ertl" ]	[]	[]	[]
VAST	2,016	DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction	10.1109/VAST.2016.7883517	Aiming at massive participation and open access education, Massive Open Online Courses (MOOCs) have attracted millions of learners over the past few years. However, the high dropout rate of learners is considered to be one of the most crucial factors that may hinder the development of MOOCs. To tackle this problem, sta...	false	false	[ "Yuanzhe Chen", "Qing Chen 0001", "Mingqian Zhao", "Sebastien Boyer", "Kalyan Veeramachaneni", "Huamin Qu" ]	[]	[]	[]
VAST	2,016	EventAction: Visual analytics for temporal event sequence recommendation	10.1109/VAST.2016.7883512	Recommender systems are being widely used to assist people in making decisions, for example, recommending films to watch or books to buy. Despite its ubiquity, the problem of presenting the recommendations of temporal event sequences has not been studied. We propose EventAction, which to our knowledge, is the first att...	false	false	[ "Fan Du", "Catherine Plaisant", "Neil Spring", "Ben Shneiderman" ]	[]	[]	[]
VAST	2,016	Familiarity Vs Trust: A Comparative Study of Domain Scientists' Trust in Visual Analytics and Conventional Analysis Methods	10.1109/TVCG.2016.2598544	Combining interactive visualization with automated analytical methods like statistics and data mining facilitates data-driven discovery. These visual analytic methods are beginning to be instantiated within mixed-initiative systems, where humans and machines collaboratively influence evidence-gathering and decision-mak...	false	false	[ "Aritra Dasgupta", "Joon-Yong Lee", "Ryan Wilson", "Robert A. Lafrance", "Nick Cramer", "Kristin A. Cook", "Samuel H. Payne" ]	[]	[]	[]
VAST	2,016	GazeDx: Interactive Visual Analytics Framework for Comparative Gaze Analysis with Volumetric Medical Images	10.1109/TVCG.2016.2598796	We present an interactive visual analytics framework, GazeDx (abbr. of GazeDiagnosis), for the comparative analysis of gaze data from multiple readers examining volumetric images while integrating important contextual information with the gaze data. Gaze pattern comparison is essential to understanding how radiologists...	false	false	[ "Hyunjoo Song", "Jeongjin Lee", "Tae Jung Kim", "Kyoung Ho Lee", "Bo Hyoung Kim", "Jinwook Seo" ]	[]	[]	[]
VAST	2,016	How ideas flow across multiple social groups	10.1109/VAST.2016.7883511	Tracking how correlated ideas flow within and across multiple social groups facilitates the understanding of the transfer of information, opinions, and thoughts on social media. In this paper, we present IdeaFlow, a visual analytics system for analyzing the lead-lag changes within and across pre-defined social groups r...	false	false	[ "Xiting Wang", "Shixia Liu", "Yang Chen", "Tai-Quan Peng", "Jing Su", "Jing Yang", "Baining Guo" ]	[]	[]	[]
VAST	2,016	Magnostics: Image-Based Search of Interesting Matrix Views for Guided Network Exploration	10.1109/TVCG.2016.2598467	In this work we address the problem of retrieving potentially interesting matrix views to support the exploration of networks. We introduce Matrix Diagnostics (or Magnostics), following in spirit related approaches for rating and ranking other visualization techniques, such as Scagnostics for scatter plots. Our approac...	false	false	[ "Michael Behrisch 0001", "Benjamin Bach", "Michael Blumenschein", "Michael Delz", "Laura von Rüden", "Jean-Daniel Fekete", "Tobias Schreck" ]	[]	[]	[]
VAST	2,016	Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots	10.1109/TVCG.2016.2598830	Due to the uncertain nature of weather prediction, climate simulations are usually performed multiple times with different spatial resolutions. The outputs of simulations are multi-resolution spatial temporal ensembles. Each simulation run uses a unique set of values for multiple convective parameters. Distinct paramet...	false	false	[ "Junpeng Wang", "Xiaotong Liu", "Han-Wei Shen", "Guang Lin" ]	[]	[]	[]
VAST	2,016	NameClarifier: A Visual Analytics System for Author Name Disambiguation	10.1109/TVCG.2016.2598465	In this paper, we present a novel visual analytics system called NameClarifier to interactively disambiguate author names in publications by keeping humans in the loop. Specifically, NameClarifier quantifies and visualizes the similarities between ambiguous names and those that have been confirmed in digital libraries....	false	false	[ "Qiaomu Shen", "Tongshuang Wu", "Haiyan Yang", "Yanhong Wu", "Huamin Qu", "Weiwei Cui" ]	[]	[]	[]
VAST	2,016	Patterns and Sequences: Interactive Exploration of Clickstreams to Understand Common Visitor Paths	10.1109/TVCG.2016.2598797	Modern web clickstream data consists of long, high-dimensional sequences of multivariate events, making it difficult to analyze. Following the overarching principle that the visual interface should provide information about the dataset at multiple levels of granularity and allow users to easily navigate across these le...	false	false	[ "Zhicheng Liu", "Yang Wang", "Mira Dontcheva", "Matthew Hoffman 0001", "Seth Walker", "Alan Wilson 0004" ]	[]	[]	[]
VAST	2,016	PhenoStacks: Cross-Sectional Cohort Phenotype Comparison Visualizations	10.1109/TVCG.2016.2598469	Cross-sectional phenotype studies are used by genetics researchers to better understand how phenotypes vary across patients with genetic diseases, both within and between cohorts. Analyses within cohorts identify patterns between phenotypes and patients (e.g., co-occurrence) and isolate special cases (e.g., potential o...	false	false	[ "Michael Glueck", "Alina Gvozdik", "Fanny Chevalier", "Azam Khan", "Michael Brudno", "Daniel J. Wigdor" ]	[]	[]	[]
VAST	2,016	PorosityAnalyzer: Visual Analysis and Evaluation of Segmentation Pipelines to Determine the Porosity in Fiber-Reinforced Polymers	10.1109/VAST.2016.7883516	In this paper we present PorosityAnalyzer, a novel tool for detailed evaluation and visual analysis of pore segmentation pipelines to determine the porosity in fiber-reinforced polymers (FRPs). The presented tool consists of two modules: the computation module and the analysis module. The computation module enables a c...	false	false	[ "Johannes Weissenböck", "Artem Amirkhanov", "M. Eduard Gröller", "Johann Kastner", "Christoph Heinzl" ]	[]	[]	[]
VAST	2,016	SemanticTraj: A New Approach to Interacting with Massive Taxi Trajectories	10.1109/TVCG.2016.2598416	Massive taxi trajectory data is exploited for knowledge discovery in transportation and urban planning. Existing tools typically require users to select and brush geospatial regions on a map when retrieving and exploring taxi trajectories and passenger trips. To answer seemingly simple questions such as “What were the ...	false	false	[ "Shamal Al-Dohuki", "Yingyu Wu", "Farah Kamw", "Jing Yang 0001", "Xin Li", "Ye Zhao 0003", "Xinyue Ye", "Wei Chen 0001", "Chao Ma 0023", "Fei Wang 0016" ]	[]	[]	[]
VAST	2,016	SenseMap: Supporting browser-based online sensemaking through analytic provenance	10.1109/VAST.2016.7883515	Sensemaking is described as the process in which people collect, organize and create representations of information, all centered around some problem they need to understand. People often get lost when solving complicated tasks using big datasets over long periods of exploration and analysis. They may forget what they ...	false	false	[ "Phong Hai Nguyen", "Kai Xu 0003", "Andy Bardill", "Betul Salman", "Kate Herd", "B. L. William Wong" ]	[]	[]	[]
VAST	2,016	Shape Grammar Extraction for Efficient Query-by-Sketch Pattern Matching in Long Time Series	10.1109/VAST.2016.7883518	Long time-series, involving thousands or even millions of time steps, are common in many application domains but remain very difficult to explore interactively. Often the analytical task in such data is to identify specific patterns, but this is a very complex and computationally difficult problem and so focusing the s...	false	false	[ "Prithiviraj K. Muthumanickam", "Katerina Vrotsou", "Matthew Cooper 0001", "Jimmy Johansson 0001" ]	[]	[]	[]
VAST	2,016	SmartAdP: Visual Analytics of Large-scale Taxi Trajectories for Selecting Billboard Locations	10.1109/TVCG.2016.2598432	The problem of formulating solutions immediately and comparing them rapidly for billboard placements has plagued advertising planners for a long time, owing to the lack of efficient tools for in-depth analyses to make informed decisions. In this study, we attempt to employ visual analytics that combines the state-of-th...	false	false	[ "Dongyu Liu", "Di Weng", "Yuhong Li", "Jie Bao 0003", "Yu Zheng 0004", "Huamin Qu", "Yingcai Wu" ]	[]	[]	[]
VAST	2,016	SocialBrands: Visual analysis of public perceptions of brands on social media	10.1109/VAST.2016.7883513	Public perceptions of a brand is critical to its performance. While social media has demonstrated a huge potential to shape public perceptions of brands, existing tools are not intuitive and explanatory for domain users to use as they fail to provide a comprehensive analysis framework for perceptions of brands. In this...	false	false	[ "Xiaotong Liu", "Anbang Xu", "Liang Gou", "Haibin Liu", "Rama Akkiraju", "Han-Wei Shen" ]	[]	[]	[]
VAST	2,016	Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers	10.1109/TVCG.2016.2598828	Performance analysis is critical in applied machine learning because it influences the models practitioners produce. Current performance analysis tools suffer from issues including obscuring important characteristics of model behavior and dissociating performance from data. In this work, we present Squares, a performan...	false	false	[ "Donghao Ren", "Saleema Amershi", "Bongshin Lee", "Jina Suh", "Jason D. Williams" ]	[]	[]	[]
VAST	2,016	Supporting visual exploration for multiple users in large display environments	10.1109/VAST.2016.7883506	We present a design space exploration of interaction techniques for supporting multiple collaborators exploring data on a shared large display. Our proposed solution is based on users controlling individual lenses using both explicit gestures as well as proxemics: the spatial relations between people and physical artif...	false	false	[ "Sriram Karthik Badam", "Fereshteh Amini", "Niklas Elmqvist", "Pourang Irani" ]	[]	[]	[]
VAST	2,016	TextTile: An Interactive Visualization Tool for Seamless Exploratory Analysis of Structured Data and Unstructured Text	10.1109/TVCG.2016.2598447	We describe TextTile, a data visualization tool for investigation of datasets and questions that require seamless and flexible analysis of structured data and unstructured text. TextTile is based on real-world data analysis problems gathered through our interaction with a number of domain experts and provides a general...	false	false	[ "Cristian Felix", "Anshul Vikram Pandey", "Enrico Bertini" ]	[]	[]	[]
VAST	2,016	The DataSpace for HIV vaccine studies	10.1109/VAST.2016.7883509	The DataSpace for HIV vaccine studies is a discovery tool available on the web to hundreds of investigators. We designed it to help them better understand activity in the field and explore new ideas latent in completed research. The DataSpace harmonizes immunoassay results and study metadata so that a broader research ...	false	false	[ "David McColgin", "Paul Hoover", "Mark Igra" ]	[]	[]	[]
VAST	2,016	The semantics of sketch: Flexibility in visual query systems for time series data	10.1109/VAST.2016.7883519	Sketching allows analysts to specify complex and free-form patterns of interest. Visual query systems can make use of sketches to locate these patterns of interest in large datasets. However, sketching is ambiguous: the same drawing could represent a multitude of potential queries. In this work, we investigate these am...	false	false	[ "Michael Correll", "Michael Gleicher" ]	[]	[]	[]
VAST	2,016	TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections	10.1109/TVCG.2016.2598445	Topic modeling, which reveals underlying topics of a document corpus, has been actively adopted in visual analytics for large-scale document collections. However, due to its significant processing time and non-interactive nature, topic modeling has so far not been tightly integrated into a visual analytics workflow. In...	false	false	[ "Minjeong Kim", "Kyeongpil Kang", "Deok Gun Park 0001", "Jaegul Choo", "Niklas Elmqvist" ]	[]	[]	[]
VAST	2,016	Toward Theoretical Techniques for Measuring the Use of Human Effort in Visual Analytic Systems	10.1109/TVCG.2016.2598460	Visual analytic systems have long relied on user studies and standard datasets to demonstrate advances to the state of the art, as well as to illustrate the efficiency of solutions to domain-specific challenges. This approach has enabled some important comparisons between systems, but unfortunately the narrow scope req...	false	false	[ "R. Jordan Crouser", "Lyndsey Franklin", "Alex Endert", "Kristin A. Cook" ]	[]	[]	[]
VAST	2,016	Towards Better Analysis of Deep Convolutional Neural Networks	10.1109/TVCG.2016.2598831	Deep convolutional neural networks (CNNs) have achieved breakthrough performance in many pattern recognition tasks such as image classification. However, the development of high-quality deep models typically relies on a substantial amount of trial-and-error, as there is still no clear understanding of when and why a de...	false	false	[ "Mengchen Liu", "Jiaxin Shi", "Zhen Li 0044", "Chongxuan Li", "Jun Zhu 0001", "Shixia Liu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1604.07043v3", "icon": "paper" } ]
VAST	2,016	ViDX: Visual Diagnostics of Assembly Line Performance in Smart Factories	10.1109/TVCG.2016.2598664	Visual analytics plays a key role in the era of connected industry (or industry 4.0, industrial internet) as modern machines and assembly lines generate large amounts of data and effective visual exploration techniques are needed for troubleshooting, process optimization, and decision making. However, developing effect...	false	false	[ "Panpan Xu", "Honghui Mei", "Ren Liu", "Wei Chen 0001" ]	[ "HM" ]	[]	[]
VAST	2,016	VisFlow - Web-based Visualization Framework for Tabular Data with a Subset Flow Model	10.1109/TVCG.2016.2598497	Data flow systems allow the user to design a flow diagram that specifies the relations between system components which process, filter or visually present the data. Visualization systems may benefit from user-defined data flows as an analysis typically consists of rendering multiple plots on demand and performing diffe...	false	false	[ "Bowen Yu 0004", "Cláudio T. Silva" ]	[]	[]	[]
VAST	2,016	VisMatchmaker: Cooperation of the User and the Computer in Centralized Matching Adjustment	10.1109/TVCG.2016.2599378	Centralized matching is a ubiquitous resource allocation problem. In a centralized matching problem, each agent has a preference list ranking the other agents and a central planner is responsible for matching the agents manually or with an algorithm. While algorithms can find a matching which optimizes some performance...	false	false	[ "Po-Ming Law", "Wenchao Wu", "Yixian Zheng", "Huamin Qu" ]	[]	[]	[]
VAST	2,016	Visual analysis and coding of data-rich user behavior	10.1109/VAST.2016.7883520	Investigating user behavior involves abstracting low-level events to higher-level concepts. This requires an analyst to study individual user activities, assign codes which categorize behavior, and develop a consistent classification scheme. To better support this reasoning process of an analyst, we suggest a novel vis...	false	false	[ "Tanja Blascheck", "Fabian Beck 0001", "Sebastian Baltes", "Thomas Ertl", "Daniel Weiskopf" ]	[]	[]	[]
VAST	2,016	Visual Analysis of MOOC Forums with iForum	10.1109/TVCG.2016.2598444	Discussion forums of Massive Open Online Courses (MOOC) provide great opportunities for students to interact with instructional staff as well as other students. Exploration of MOOC forum data can offer valuable insights for these staff to enhance the course and prepare the next release. However, it is challenging due t...	false	false	[ "Siwei Fu", "Jian Zhao 0010", "Weiwei Cui", "Huamin Qu" ]	[]	[]	[]
VAST	2,016	Visual Analytics for Mobile Eye Tracking	10.1109/TVCG.2016.2598695	The analysis of eye tracking data often requires the annotation of areas of interest (AOIs) to derive semantic interpretations of human viewing behavior during experiments. This annotation is typically the most time-consuming step of the analysis process. Especially for data from wearable eye tracking glasses, every in...	false	false	[ "Kuno Kurzhals", "Marcel Hlawatsch", "Christof Seeger", "Daniel Weiskopf" ]	[]	[]	[]
VAST	2,016	Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis	10.1109/TVCG.2016.2598495	Dimensionality Reduction (DR) is a core building block in visualizing multidimensional data. For DR techniques to be useful in exploratory data analysis, they need to be adapted to human needs and domain-specific problems, ideally, interactively, and on-the-fly. Many visual analytics systems have already demonstrated t...	false	false	[ "Dominik Sacha", "Leishi Zhang", "Michael Sedlmair", "John A. Lee", "Jaakko Peltonen", "Daniel Weiskopf", "Stephen C. North", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,016	Visualizing Dimension Coverage to Support Exploratory Analysis	10.1109/TVCG.2016.2598466	Data analysis involves constantly formulating and testing new hypotheses and questions about data. When dealing with a new dataset, especially one with many dimensions, it can be cumbersome for the analyst to clearly remember which aspects of the data have been investigated (i.e., visually examined for patterns, trends...	false	false	[ "Ali Sarvghad", "Melanie Tory", "Narges Mahyar" ]	[]	[]	[]
VAST	2,016	Visualizing the Hidden Activity of Artificial Neural Networks	10.1109/TVCG.2016.2598838	In machine learning, pattern classification assigns high-dimensional vectors (observations) to classes based on generalization from examples. Artificial neural networks currently achieve state-of-the-art results in this task. Although such networks are typically used as black-boxes, they are also widely believed to lea...	false	false	[ "Paulo E. Rauber", "Samuel G. Fadel", "Alexandre X. Falcão", "Alexandru C. Telea" ]	[]	[]	[]
VAST	2,016	What do Constraint Programming Users Want to See? Exploring the Role of Visualisation in Profiling of Models and Search	10.1109/TVCG.2016.2598545	Constraint programming allows difficult combinatorial problems to be modelled declaratively and solved automatically. Advances in solver technologies over recent years have allowed the successful use of constraint programming in many application areas. However, when a particular solver's search for a solution takes too...	false	false	[ "Sarah Goodwin", "Christopher Mears", "Tim Dwyer", "Maria Garcia de la Banda", "Guido Tack", "Mark Wallace 0001" ]	[]	[]	[]
SciVis	2,016	A Fractional Cartesian Composition Model for Semi-Spatial Comparative Visualization Design	10.1109/TVCG.2016.2598870	The study of spatial data ensembles leads to substantial visualization challenges in a variety of applications. In this paper, we present a model for comparative visualization that supports the design of according ensemble visualization solutions by partial automation. We focus on applications, where the user is intere...	false	false	[ "Ivan Kolesár", "Stefan Bruckner", "Ivan Viola", "Helwig Hauser" ]	[]	[]	[]
SciVis	2,016	A Versatile and Efficient GPU Data Structure for Spatial Indexing	10.1109/TVCG.2016.2599043	In this paper we present a novel GPU-based data structure for spatial indexing. Based on Fenwick trees-a special type of binary indexed trees-our data structure allows construction in linear time. Updates and prefixes can be computed in logarithmic time, whereas point queries require only constant time on average. Unli...	false	false	[ "Jens Schneider 0002", "Peter Rautek" ]	[]	[]	[]
SciVis	2,016	Backward Finite-Time Lyapunov Exponents in Inertial Flows	10.1109/TVCG.2016.2599016	Inertial particles are finite-sized objects that are carried by fluid flows and in contrast to massless tracer particles they are subject to inertia effects. In unsteady flows, the dynamics of tracer particles have been extensively studied by the extraction of Lagrangian coherent structures (LCS), such as hyperbolic LC...	false	false	[ "Tobias Günther", "Holger Theisel" ]	[]	[]	[]
SciVis	2,016	Categorical Colormap Optimization with Visualization Case Studies	10.1109/TVCG.2016.2599214	Mapping a set of categorical values to different colors is an elementary technique in data visualization. Users of visualization software routinely rely on the default colormaps provided by a system, or colormaps suggested by software such as ColorBrewer. In practice, users often have to select a set of colors in a sem...	false	false	[ "Hui Fang 0003", "Simon J. Walton", "E. Delahaye", "J. Harris", "D. A. Storchak", "Min Chen 0001" ]	[]	[]	[]
SciVis	2,016	Combined Visualization of Vessel Deformation and Hemodynamics in Cerebral Aneurysms	10.1109/TVCG.2016.2598795	We present the first visualization tool that combines patient-specific hemodynamics with information about the vessel wall deformation and wall thickness in cerebral aneurysms. Such aneurysms bear the risk of rupture, whereas their treatment also carries considerable risks for the patient. For the patient-specific rupt...	false	false	[ "Monique Meuschke", "Samuel Voß", "Oliver Beuing", "Bernhard Preim", "Kai Lawonn" ]	[]	[]	[]
SciVis	2,016	Comparing Cross-Sections and 3D Renderings for Surface Matching Tasks Using Physical Ground Truths	10.1109/TVCG.2016.2598602	Within the visualization community there are some well-known techniques for visualizing 3D spatial data and some general assumptions about how perception affects the performance of these techniques in practice. However, there is a lack of empirical research backing up the possible performance differences among the basi...	false	false	[ "Andreas J. Lind", "Stefan Bruckner" ]	[]	[]	[]
SciVis	2,016	Correlated Photon Mapping for Interactive Global Illumination of Time-Varying Volumetric Data	10.1109/TVCG.2016.2598430	We present a method for interactive global illumination of both static and time-varying volumetric data based on reduction of the overhead associated with re-computation of photon maps. Our method uses the identification of photon traces invariant to changes of visual parameters such as the transfer function (TF), or d...	false	false	[ "Daniel Jönsson", "Anders Ynnerman" ]	[ "HM" ]	[]	[]
SciVis	2,016	Corresponding Supine and Prone Colon Visualization Using Eigenfunction Analysis and Fold Modeling	10.1109/TVCG.2016.2598791	We present a method for registration and visualization of corresponding supine and prone virtual colonoscopy scans based on eigenfunction analysis and fold modeling. In virtual colonoscopy, CT scans are acquired with the patient in two positions, and their registration is desirable so that physicians can corroborate fi...	false	false	[ "Saad Nadeem", "Joseph Marino", "Xianfeng Gu", "Arie E. Kaufman" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1810.08850v1", "icon": "paper" } ]
SciVis	2,016	Decal-Maps: Real-Time Layering of Decals on Surfaces for Multivariate Visualization	10.1109/TVCG.2016.2598866	We introduce the use of decals for multivariate visualization design. Decals are visual representations that are used for communication; for example, a pattern, a text, a glyph, or a symbol, transferred from a 2D-image to a surface upon contact. By creating what we define as decal-maps, we can design a set of images or...	false	false	[ "Allan Rocha", "Usman R. Alim", "Julio Daniel Silva", "Mario Costa Sousa" ]	[]	[]	[]
SciVis	2,016	Direct Multifield Volume Ray Casting of Fiber Surfaces	10.1109/TVCG.2016.2599040	Multifield data are common in visualization. However, reducing these data to comprehensible geometry is a challenging problem. Fiber surfaces, an analogy of isosurfaces to bivariate volume data, are a promising new mechanism for understanding multifield volumes. In this work, we explore direct ray casting of fiber surf...	false	false	[ "Kui Wu 0003", "Aaron Knoll", "Benjamin J. Isaac", "Hamish A. Carr", "Valerio Pascucci" ]	[]	[]	[]
SciVis	2,016	GlyphLens: View-Dependent Occlusion Management in the Interactive Glyph Visualization	10.1109/TVCG.2016.2599049	Glyph as a powerful multivariate visualization technique is used to visualize data through its visual channels. To visualize 3D volumetric dataset, glyphs are usually placed on 2D surface, such as the slicing plane or the feature surface, to avoid occluding each other. However, the 3D spatial structure of some features...	false	false	[ "Xin Tong", "Cheng Li", "Han-Wei Shen" ]	[]	[]	[]
SciVis	2,016	Glyphs for General Second-Order 2D and 3D Tensors	10.1109/TVCG.2016.2598998	Glyphs are a powerful tool for visualizing second-order tensors in a variety of scientic data as they allow to encode physical behavior in geometric properties. Most existing techniques focus on symmetric tensors and exclude non-symmetric tensors where the eigenvectors can be non-orthogonal or complex. We present a new...	false	false	[ "Tim Gerrits", "Christian Rössl", "Holger Theisel" ]	[]	[]	[]
SciVis	2,016	Hairy Slices: Evaluating the Perceptual Effectiveness of Cutting Plane Glyphs for 3D Vector Fields	10.1109/TVCG.2016.2598448	Three-dimensional vector fields are common datasets throughout the sciences. Visualizing these fields is inherently difficult due to issues such as visual clutter and self-occlusion. Cutting planes are often used to overcome these issues by presenting more manageable slices of data. The existing literature provides man...	false	false	[ "Andrew H. Stevens", "Thomas Butkiewicz", "Colin Ware" ]	[]	[]	[]
SciVis	2,016	Hybrid Tactile/Tangible Interaction for 3D Data Exploration	10.1109/TVCG.2016.2599217	We present the design and evaluation of an interface that combines tactile and tangible paradigms for 3D visualization. While studies have demonstrated that both tactile and tangible input can be efficient for a subset of 3D manipulation tasks, we reflect here on the possibility to combine the two complementary input t...	false	false	[ "Lonni Besançon", "Paul Issartel", "Mehdi Ammi", "Tobias Isenberg 0001" ]	[]	[]	[]
SciVis	2,016	In Situ Distribution Guided Analysis and Visualization of Transonic Jet Engine Simulations	10.1109/TVCG.2016.2598604	Study of flow instability in turbine engine compressors is crucial to understand the inception and evolution of engine stall. Aerodynamics experts have been working on detecting the early signs of stall in order to devise novel stall suppression technologies. A state-of-the-art Navier-Stokes based, time-accurate comput...	false	false	[ "Soumya Dutta", "Chun-Ming Chen", "Gregory Heinlein", "Han-Wei Shen", "Jen-Ping Chen" ]	[ "HM" ]	[]	[]
SciVis	2,016	Jacobi Fiber Surfaces for Bivariate Reeb Space Computation	10.1109/TVCG.2016.2599017	This paper presents an efficient algorithm for the computation of the Reeb space of an input bivariate piecewise linear scalar function f defined on a tetrahedral mesh. By extending and generalizing algorithmic concepts from the univariate case to the bivariate one, we report the first practical, output-sensitive algor...	false	false	[ "Julien Tierny", "Hamish A. Carr" ]	[ "BP" ]	[]	[]
SciVis	2,016	Molecular Surface Maps	10.1109/TVCG.2016.2598824	We present Molecular Surface Maps, a novel, view-independent, and concise representation for molecular surfaces. It transfers the well-known world map metaphor to molecular visualization. Our application maps the complex molecular surface to a simple 2D representation through a spherical intermediate, the Molecular Sur...	false	false	[ "Michael Krone", "Florian Frieß", "Katrin Scharnowski", "Guido Reina", "Silvia Fademrecht", "Tobias Kulschewski", "Jürgen Pleiss", "Thomas Ertl" ]	[]	[]	[]
SciVis	2,016	OSPRay - A CPU Ray Tracing Framework for Scientific Visualization	10.1109/TVCG.2016.2599041	Scientific data is continually increasing in complexity, variety and size, making efficient visualization and specifically rendering an ongoing challenge. Traditional rasterization-based visualization approaches encounter performance and quality limitations, particularly in HPC environments without dedicated rendering ...	false	false	[ "Ingo Wald", "Gregory P. Johnson", "Jefferson Amstutz", "Carson Brownlee", "Aaron Knoll", "Jim Jeffers", "Johannes Günther 0001", "Paul A. Navrátil" ]	[]	[]	[]
SciVis	2,016	PelVis: Atlas-based Surgical Planning for Oncological Pelvic Surgery	10.1109/TVCG.2016.2598826	Due to the intricate relationship between the pelvic organs and vital structures, such as vessels and nerves, pelvic anatomy is often considered to be complex to comprehend. In oncological pelvic surgery, a trade-off has to be made between complete tumor resection and preserving function by preventing damage to the ner...	false	false	[ "Noeska N. Smit", "Kai Lawonn", "Annelot Kraima", "Marco C. DeRuiter", "Hessam Sokooti", "Stefan Bruckner", "Elmar Eisemann", "Anna Vilanova" ]	[]	[]	[]
SciVis	2,016	Physics-Based Visual Characterization of Molecular Interaction Forces	10.1109/TVCG.2016.2598825	Molecular simulations are used in many areas of biotechnology, such as drug design and enzyme engineering. Despite the development of automatic computational protocols, analysis of molecular interactions is still a major aspect where human comprehension and intuition are key to accelerate, analyze, and propose modifica...	false	false	[ "Pedro Hermosilla", "Jorge Estrada", "Victor Guallar", "Timo Ropinski", "Àlvar Vinacua", "Pere-Pau Vázquez" ]	[]	[]	[]
SciVis	2,016	Progressive Direct Volume-to-Volume Transformation	10.1109/TVCG.2016.2599042	We present a novel technique to generate transformations between arbitrary volumes, providing both expressive distances and smooth interpolates. In contrast to conventional morphing or warping approaches, our technique requires no user guidance, intermediate representations (like extracted features), or blending, and i...	false	false	[ "Steffen Frey", "Thomas Ertl" ]	[]	[]	[]
SciVis	2,016	Synteny Explorer: An Interactive Visualization Application for Teaching Genome Evolution	10.1109/TVCG.2016.2598789	Rapid advances in biology demand new tools for more active research dissemination and engaged teaching. This paper presents Synteny Explorer, an interactive visualization application designed to let college students explore genome evolution of mammalian species. The tool visualizes synteny blocks: segments of homologou...	false	false	[ "Chris Bryan", "Gregory Guterman", "Kwan-Liu Ma", "Harris A. Lewin", "Denis M. Larkin", "Jaebum Kim", "Jian Ma 0004", "Marta Farre" ]	[]	[]	[]
SciVis	2,016	Time-Hierarchical Clustering and Visualization of Weather Forecast Ensembles	10.1109/TVCG.2016.2598868	We propose a new approach for analyzing the temporal growth of the uncertainty in ensembles of weather forecasts which are started from perturbed but similar initial conditions. As an alternative to traditional approaches in meteorology, which use juxtaposition and animation of spaghetti plots of iso-contours, we make ...	false	false	[ "Florian Ferstl", "Mathias Kanzler", "Marc Rautenhaus", "Rüdiger Westermann" ]	[]	[]	[]
SciVis	2,016	Topological Analysis of Inertial Dynamics	10.1109/TVCG.2016.2599018	Traditional vector field visualization has a close focus on velocity, and is typically constrained to the dynamics of massless particles. In this paper, we present a novel approach to the analysis of the force-induced dynamics of inertial particles. These forces can arise from acceleration fields such as gravitation, b...	false	false	[ "Antoni Sagristà", "Stefan Jordan", "Andreas Just", "Fabio Dias", "Luis Gustavo Nonato", "Filip Sadlo" ]	[]	[]	[]
SciVis	2,016	Urban Pulse: Capturing the Rhythm of Cities	10.1109/TVCG.2016.2598585	Cities are inherently dynamic. Interesting patterns of behavior typically manifest at several key areas of a city over multiple temporal resolutions. Studying these patterns can greatly help a variety of experts ranging from city planners and architects to human behavioral experts. Recent technological innovations have...	false	false	[ "Fabio Miranda 0001", "Harish Doraiswamy", "Marcos Lage", "Kai Zhao", "Bruno Gonçalves", "Luc Wilson", "Mondrian Hsieh", "Cláudio T. Silva" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1608.06949v2", "icon": "paper" } ]
SciVis	2,016	Visualization and Extraction of Carvings for Heritage Conservation	10.1109/TVCG.2016.2598603	We present novel techniques for visualizing, illustrating, analyzing, and generating carvings in surfaces. In particular, we consider the carvings in the plaster of the cloister of the Magdeburg cathedral, which dates to the 13th century. Due to aging and weathering, the carvings have flattened. Historians and restorer...	false	false	[ "Kai Lawonn", "Erik Trostmann", "Bernhard Preim", "Klaus Hildebrandt" ]	[]	[]	[]
SciVis	2,016	Visualization as Seen through its Research Paper Keywords	10.1109/TVCG.2016.2598827	We present the results of a comprehensive multi-pass analysis of visualization paper keywords supplied by authors for their papers published in the IEEE Visualization conference series (now called IEEE VIS) between 1990-2015. From this analysis we derived a set of visualization topics that we discuss in the context of ...	false	false	[ "Petra Isenberg", "Tobias Isenberg 0001", "Michael Sedlmair", "Jian Chen 0006", "Torsten Möller" ]	[]	[]	[]
SciVis	2,016	Visualization of Time-Varying Weather Ensembles across Multiple Resolutions	10.1109/TVCG.2016.2598869	Uncertainty quantification in climate ensembles is an important topic for the domain scientists, especially for decision making in the real-world scenarios. With powerful computers, simulations now produce time-varying and multi-resolution ensemble data sets. It is of extreme importance to understand the model sensitiv...	false	false	[ "Ayan Biswas", "Guang Lin", "Xiaotong Liu", "Han-Wei Shen" ]	[]	[]	[]
SciVis	2,016	Visualizing Shape Deformations with Variation of Geometric Spectrum	10.1109/TVCG.2016.2598790	This paper presents a novel approach based on spectral geometry to quantify and visualize non-isometric deformations of 3D surfaces by mapping two manifolds. The proposed method can determine multi-scale, non-isometric deformations through the variation of Laplace-Beltrami spectrum of two shapes. Given two triangle mes...	false	false	[ "Jiaxi Hu", "Hajar Hamidian", "Zichun Zhong", "Jing Hua 0001" ]	[]	[]	[]
SciVis	2,016	Vol²velle: Printable Interactive Volume Visualization	10.1109/TVCG.2016.2599211	Interaction is an indispensable aspect of data visualization. The presentation of volumetric data, in particular, often significantly benefits from interactive manipulation of parameters such as transfer functions, rendering styles, or clipping planes. However, when we want to create hardcopies of such visualizations, ...	false	false	[ "Sergej Stoppel", "Stefan Bruckner" ]	[]	[]	[]
InfoVis	2,016	An Evaluation of Visual Search Support in Maps	10.1109/TVCG.2016.2598898	Visual search can be time-consuming, especially if the scene contains a large number of possibly relevant objects. An instance of this problem is present when using geographic or schematic maps with many different elements representing cities, streets, sights, and the like. Unless the map is well-known to the reader, t...	false	false	[ "Rudolf Netzel", "Marcel Hlawatsch", "Michael Burch", "Sanjeev Balakrishnan", "Hansjörg Schmauder", "Daniel Weiskopf" ]	[]	[]	[]
InfoVis	2,016	Authoring Data-Driven Videos with DataClips	10.1109/TVCG.2016.2598647	Data videos, or short data-driven motion graphics, are an increasingly popular medium for storytelling. However, creating data videos is difficult as it involves pulling together a unique combination of skills. We introduce DataClips, an authoring tool aimed at lowering the barriers to crafting data videos. DataClips a...	false	false	[ "Fereshteh Amini", "Nathalie Henry Riche", "Bongshin Lee", "Andrés Monroy-Hernández", "Pourang Irani" ]	[]	[]	[]
InfoVis	2,016	booc.io: An Education System with Hierarchical Concept Maps and Dynamic Non-linear Learning Plans	10.1109/TVCG.2016.2598518	Information hierarchies are difficult to express when real-world space or time constraints force traversing the hierarchy in linear presentations, such as in educational books and classroom courses. We present booc.io, which allows linear and non-linear presentation and navigation of educational concepts and material. ...	false	false	[ "Michail Schwab", "Hendrik Strobelt", "James Tompkin 0001", "Colin Fredericks", "Connor Huff", "Dana Higgins", "Anton Strezhnev", "Mayya Komisarchik", "Gary King", "Hanspeter Pfister" ]	[]	[]	[]
InfoVis	2,016	cite2vec: Citation-Driven Document Exploration via Word Embeddings	10.1109/TVCG.2016.2598667	Effectively exploring and browsing document collections is a fundamental problem in visualization. Traditionally, document visualization is based on a data model that represents each document as the set of its comprised words, effectively characterizing what the document is. In this paper we take an alternative perspec...	false	false	[ "Matthew Berger", "Katherine McDonough", "Lee M. Seversky" ]	[]	[]	[]
InfoVis	2,016	Colorgorical: Creating discriminable and preferable color palettes for information visualization	10.1109/TVCG.2016.2598918	We present an evaluation of Colorgorical, a web-based tool for creating discriminable and aesthetically preferable categorical color palettes. Colorgorical uses iterative semi-random sampling to pick colors from CIELAB space based on user-defined discriminability and preference importances. Colors are selected by assig...	false	false	[ "Connor Gramazio", "David H. Laidlaw", "Karen B. Schloss" ]	[]	[]	[]
InfoVis	2,016	Data-Driven Guides: Supporting Expressive Design for Information Graphics	10.1109/TVCG.2016.2598620	In recent years, there is a growing need for communicating complex data in an accessible graphical form. Existing visualization creation tools support automatic visual encoding, but lack flexibility for creating custom design; on the other hand, freeform illustration tools require manual visual encoding, making the des...	false	false	[ "Nam Wook Kim", "Eston Schweickart", "Zhicheng Liu", "Mira Dontcheva", "Wilmot Li", "Jovan Popovic", "Hanspeter Pfister" ]	[]	[]	[]
InfoVis	2,016	Embedded Data Representations	10.1109/TVCG.2016.2598608	We introduce embedded data representations, the use of visual and physical representations of data that are deeply integrated with the physical spaces, objects, and entities to which the data refers. Technologies like lightweight wireless displays, mixed reality hardware, and autonomous vehicles are making it increasin...	false	false	[ "Wesley Willett", "Yvonne Jansen", "Pierre Dragicevic" ]	[]	[]	[]
InfoVis	2,016	Evaluating the Impact of Binning 2D Scalar Fields	10.1109/TVCG.2016.2599106	The expressiveness principle for visualization design asserts that a visualization should encode all of the available data, and only the available data, implying that continuous data types should be visualized with a continuous encoding channel. And yet, in many domains binning continuous data is not only pervasive, bu...	false	false	[ "Lace M. K. Padilla", "P. Samuel Quinan", "Miriah D. Meyer", "Sarah H. Creem-Regehr" ]	[]	[]	[]
InfoVis	2,016	Evaluation of Graph Sampling: A Visualization Perspective	10.1109/TVCG.2016.2598867	Graph sampling is frequently used to address scalability issues when analyzing large graphs. Many algorithms have been proposed to sample graphs, and the performance of these algorithms has been quantified through metrics based on graph structural properties preserved by the sampling: degree distribution, clustering co...	false	false	[ "Yanhong Wu", "Nan Cao", "Daniel Archambault", "Qiaomu Shen", "Huamin Qu", "Weiwei Cui" ]	[]	[]	[]
InfoVis	2,016	Exploring the Possibilities of Embedding Heterogeneous Data Attributes in Familiar Visualizations	10.1109/TVCG.2016.2598586	Heterogeneous multi-dimensional data are now sufficiently common that they can be referred to as ubiquitous. The most frequent approach to visualizing these data has been to propose new visualizations for representing these data. These new solutions are often inventive but tend to be unfamiliar. We take a different app...	false	false	[ "Mona Hosseinkhani Loorak", "Charles Perin", "Christopher Collins 0001", "Sheelagh Carpendale" ]	[]	[]	[]
InfoVis	2,016	Gaussian Cubes: Real-Time Modeling for Visual Exploration of Large Multidimensional Datasets	10.1109/TVCG.2016.2598694	Recently proposed techniques have finally made it possible for analysts to interactively explore very large datasets in real time. However powerful, the class of analyses these systems enable is somewhat limited: specifically, one can only quickly obtain plots such as histograms and heatmaps. In this paper, we contribu...	false	false	[ "Zhe Wang", "Nivan Ferreira", "Youhao Wei", "Aarthy Sankari Bhaskar", "Carlos Scheidegger" ]	[]	[]	[]
InfoVis	2,016	Hashedcubes: Simple, Low Memory, Real-Time Visual Exploration of Big Data	10.1109/TVCG.2016.2598624	We propose Hashedcubes, a data structure that enables real-time visual exploration of large datasets that improves the state of the art by virtue of its low memory requirements, low query latencies, and implementation simplicity. In some instances, Hashedcubes notably requires two orders of magnitude less space than re...	false	false	[ "Cícero A. L. Pahins", "Sean A. Stephens", "Carlos Scheidegger", "João Luiz Dihl Comba" ]	[]	[]	[]
InfoVis	2,016	HindSight: Encouraging Exploration through Direct Encoding of Personal Interaction History	10.1109/TVCG.2016.2599058	Physical and digital objects often leave markers of our use. Website links turn purple after we visit them, for example, showing us information we have yet to explore. These “footprints” of interaction offer substantial benefits in information saturated environments - they enable us to easily revisit old information, s...	false	false	[ "Mi Feng", "Cheng Deng", "Evan M. Peck", "Lane Harrison" ]	[]	[]	[]
InfoVis	2,016	Immersive Collaborative Analysis of Network Connectivity: CAVE-style or Head-Mounted Display?	10.1109/TVCG.2016.2599107	High-quality immersive display technologies are becoming mainstream with the release of head-mounted displays (HMDs) such as the Oculus Rift. These devices potentially represent an affordable alternative to the more traditional, centralised CAVE-style immersive environments. One driver for the development of CAVE-style...	false	false	[ "Maxime Cordeil", "Tim Dwyer", "Karsten Klein 0001", "Bireswar Laha", "Kim Marriott", "Bruce H. Thomas" ]	[]	[]	[]
InfoVis	2,016	Investigating the Use of a Dynamic Physical Bar Chart for Data Exploration and Presentation	10.1109/TVCG.2016.2598498	Physical data representations, or data physicalizations, are a promising new medium to represent and communicate data. Previous work mostly studied passive physicalizations which require humans to perform all interactions manually. Dynamic shape-changing displays address this limitation and facilitate data exploration ...	false	false	[ "Faisal Taher", "Yvonne Jansen", "Jonathan Woodruff", "John Hardy", "Kasper Hornbæk", "Jason Alexander" ]	[]	[]	[]
InfoVis	2,016	Iterating between Tools to Create and Edit Visualizations	10.1109/TVCG.2016.2598609	A common workflow for visualization designers begins with a generative tool, like D3 or Processing, to create the initial visualization; and proceeds to a drawing tool, like Adobe Illustrator or Inkscape, for editing and cleaning. Unfortunately, this is typically a one-way process: once a visualization is exported from...	false	false	[ "Alex Bigelow", "Steven Mark Drucker", "Danyel Fisher", "Miriah D. Meyer" ]	[]	[]	[]
InfoVis	2,016	Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation	10.1109/TVCG.2016.2598885	Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD...	false	false	[ "Yalong Yang 0001", "Tim Dwyer", "Sarah Goodwin", "Kim Marriott" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.02052v1", "icon": "paper" } ]
InfoVis	2,016	Map LineUps: Effects of spatial structure on graphical inference	10.1109/TVCG.2016.2598862	Fundamental to the effective use of visualization as an analytic and descriptive tool is the assurance that presenting data visually provides the capability of making inferences from what we see. This paper explores two related approaches to quantifying the confidence we may have in making visual inferences from mapped...	false	false	[ "Roger Beecham", "Jason Dykes", "Wouter Meulemans", "Aidan Slingsby", "Cagatay Turkay", "Jo Wood" ]	[ "HM" ]	[]	[]
InfoVis	2,016	Multi-Granular Trend Detection for Time-Series Analysis	10.1109/TVCG.2016.2598619	Time series (such as stock prices) and ensembles (such as model runs for weather forecasts) are two important types of one-dimensional time-varying data. Such data is readily available in large quantities but visual analysis of the raw data quickly becomes infeasible, even for moderately sized data sets. Trend detectio...	false	false	[ "Arthur van Goethem", "Frank Staals", "Maarten Löffler", "Jason Dykes", "Bettina Speckmann" ]	[]	[]	[]
InfoVis	2,016	Optimizing Hierarchical Visualizations with the Minimum Description Length Principle	10.1109/TVCG.2016.2598591	In this paper we examine how the Minimum Description Length (MDL) principle can be used to efficiently select aggregated views of hierarchical datasets that feature a good balance between clutter and information. We present MDL formulae for generating uneven tree cuts tailored to treemap and sunburst diagrams, taking i...	false	false	[ "Rafael Veras", "Christopher Collins 0001" ]	[]	[]	[]
InfoVis	2,016	PowerSet: A Comprehensive Visualization of Set Intersections	10.1109/TVCG.2016.2598496	When analyzing a large amount of data, analysts often define groups over data elements that share certain properties. Using these groups as the unit of analysis not only reduces the data volume, but also allows detecting various patterns in the data. This involves analyzing intersection relations between these groups, ...	false	false	[ "Bilal Alsallakh", "Ren Liu" ]	[]	[]	[]
InfoVis	2,016	PROACT: Iterative Design of a Patient-Centered Visualization for Effective Prostate Cancer Health Risk Communication	10.1109/TVCG.2016.2598588	Prostate cancer is the most common cancer among men in the US, and yet most cases represent localized cancer for which the optimal treatment is unclear. Accumulating evidence suggests that the available treatment options, including surgery and conservative treatment, result in a similar prognosis for most men with loca...	false	false	[ "Anzu Hakone", "Lane Harrison", "Alvitta Ottley", "Nathan Winters", "Caitlin Gutheil", "Paul K. J. Han", "Remco Chang" ]	[]	[]	[]
InfoVis	2,016	Probabilistic Graph Layout for Uncertain Network Visualization	10.1109/TVCG.2016.2598919	We present a novel uncertain network visualization technique based on node-link diagrams. Nodes expand spatially in our probabilistic graph layout, depending on the underlying probability distributions of edges. The visualization is created by computing a two-dimensional graph embedding that combines samples from the p...	false	false	[ "Christoph Schulz 0001", "Arlind Nocaj", "Jochen Görtler", "Oliver Deussen", "Ulrik Brandes", "Daniel Weiskopf" ]	[]	[]	[]
InfoVis	2,016	Quantifying the Visual Impact of Classification Boundaries in Choropleth Maps	10.1109/TVCG.2016.2598541	One critical visual task when using choropleth maps is to identify spatial clusters in the data. If spatial units have the same color and are in the same neighborhood, this region can be visually identified as a spatial cluster. However, the choice of classification method used to create the choropleth map determines t...	false	false	[ "Yifan Zhang 0007", "Ross Maciejewski" ]	[]	[]	[]
InfoVis	2,016	Screenit: Visual Analysis of Cellular Screens	10.1109/TVCG.2016.2598587	High-throughput and high-content screening enables large scale, cost-effective experiments in which cell cultures are exposed to a wide spectrum of drugs. The resulting multivariate data sets have a large but shallow hierarchical structure. The deepest level of this structure describes cells in terms of numeric feature...	false	false	[ "Kasper Dinkla", "Hendrik Strobelt", "Bryan Genest", "Stephan Reiling", "Mark Borowsky", "Hanspeter Pfister" ]	[]	[]	[]
InfoVis	2,016	Small Multiples with Gaps	10.1109/TVCG.2016.2598542	Small multiples enable comparison by providing different views of a single data set in a dense and aligned manner. A common frame defines each view, which varies based upon values of a conditioning variable. An increasingly popular use of this technique is to project two-dimensional locations into a gridded space (e.g....	false	false	[ "Wouter Meulemans", "Jason Dykes", "Aidan Slingsby", "Cagatay Turkay", "Jo Wood" ]	[]	[]	[]
InfoVis	2,016	Surprise! Bayesian Weighting for De-Biasing Thematic Maps	10.1109/TVCG.2016.2598618	Thematic maps are commonly used for visualizing the density of events in spatial data. However, these maps can mislead by giving visual prominence to known base rates (such as population densities) or to artifacts of sample size and normalization (such as outliers arising from smaller, and thus more variable, samples)....	false	false	[ "Michael Correll", "Jeffrey Heer" ]	[]	[]	[]

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