Split (1)

train · 6.25k rows

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	2,018	MAQUI: Interweaving Queries and Pattern Mining for Recursive Event Sequence Exploration	10.1109/TVCG.2018.2864886	Exploring event sequences by defining queries alone or by using mining algorithms alone is often not sufficient to support analysis. Analysts often interweave querying and mining in a recursive manner during event sequence analysis: sequences extracted as query results are used for mining patterns, patterns generated a...	false	false	[ "Po-Ming Law", "Zhicheng Liu", "Sana Malik", "Rahul C. Basole" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/tg7w5", "icon": "paper" } ]
VAST	2,018	MotionRugs: Visualizing Collective Trends in Space and Time	10.1109/TVCG.2018.2865049	Understanding the movement patterns of collectives, such as flocks of birds or fish swarms, is an interesting open research question. The collectives are driven by mutual objectives or react to individual direction changes and external influence factors and stimuli. The challenge in visualizing collective movement data...	false	false	[ "Juri Buchmüller", "Dominik Jäckle", "Eren Cakmak", "Ulrik Brandes", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,018	RegressionExplorer: Interactive Exploration of Logistic Regression Models with Subgroup Analysis	10.1109/TVCG.2018.2865043	We present RegressionExplorer, a Visual Analytics tool for the interactive exploration of logistic regression models. Our application domain is Clinical Biostatistics, where models are derived from patient data with the aim to obtain clinically meaningful insights and consequences. Development and interpretation of a p...	false	false	[ "Dennis Dingen", "Marcel van 't Veer", "Patrick Houthuizen", "Eveline H. J. Mestrom", "Hendrikus H. M. Korsten", "R. Arthur Bouwman", "Jarke J. van Wijk" ]	[]	[]	[]
VAST	2,018	RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records	10.1109/TVCG.2018.2865027	We have recently seen many successful applications of recurrent neural networks (RNNs) on electronic medical records (EMRs), which contain histories of patients' diagnoses, medications, and other various events, in order to predict the current and future states of patients. Despite the strong performance of RNNs, it is...	false	false	[ "Bum Chul Kwon", "Min-Je Choi", "Joanne Taery Kim", "Edward Choi", "Young-bin Kim", "Soonwook Kwon", "Jimeng Sun 0001", "Jaegul Choo" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1805.10724v3", "icon": "paper" } ]
VAST	2,018	RuleMatrix: Visualizing and Understanding Classifiers with Rules	10.1109/TVCG.2018.2864812	With the growing adoption of machine learning techniques, there is a surge of research interest towards making machine learning systems more transparent and interpretable. Various visualizations have been developed to help model developers understand, diagnose, and refine machine learning models. However, a large numbe...	false	false	[ "Yao Ming", "Huamin Qu", "Enrico Bertini" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1807.06228v1", "icon": "paper" } ]
VAST	2,018	Segue: Overviewing Evolution Patterns of Egocentric Networks by Interactive Construction of Spatial Layouts	10.1109/VAST.2018.8802415	Getting the overall picture of how a large number of ego-networks evolve is a common yet challenging task. Existing techniques often require analysts to inspect the evolution patterns of ego-networks one after another. In this study, we explore an approach that allows analysts to interactively create spatial layouts in...	false	false	[ "Po-Ming Law", "Yanhong Wu", "Rahul C. Basole" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/ah5y6", "icon": "paper" } ]
VAST	2,018	Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models	10.1109/TVCG.2018.2865044	Neural sequence-to-sequence models have proven to be accurate and robust for many sequence prediction tasks, and have become the standard approach for automatic translation of text. The models work with a five-stage blackbox pipeline that begins with encoding a source sequence to a vector space and then decoding out to...	false	false	[ "Hendrik Strobelt", "Sebastian Gehrmann", "Michael Behrisch 0001", "Adam Perer", "Hanspeter Pfister", "Alexander M. Rush" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1804.09299v2", "icon": "paper" } ]
VAST	2,018	SIRIUS: Dual, Symmetric, Interactive Dimension Reductions	10.1109/TVCG.2018.2865047	Much research has been done regarding how to visualize and interact with observations and attributes of high-dimensional data for exploratory data analysis. From the analyst's perceptual and cognitive perspective, current visualization approaches typically treat the observations of the high-dimensional dataset very dif...	false	false	[ "Michelle Dowling", "John E. Wenskovitch", "J. T. Fry", "Scotland Leman", "Leanna House", "Chris North 0001" ]	[]	[]	[]
VAST	2,018	Situ: Identifying and Explaining Suspicious Behavior in Networks	10.1109/TVCG.2018.2865029	Despite the best efforts of cyber security analysts, networked computing assets are routinely compromised, resulting in the loss of intellectual property, the disclosure of state secrets, and major financial damages. Anomaly detection methods are beneficial for detecting new types of attacks and abnormal network activi...	false	false	[ "John R. Goodall", "Eric D. Ragan", "Chad A. Steed", "Joel W. Reed", "G. David Richardson", "Kelly M. T. Huffer", "Robert A. Bridges", "Jason A. Laska" ]	[]	[]	[]
VAST	2,018	SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics Approach	10.1109/VAST.2018.8802486	We present SMARTEXPLORE, a novel visual analytics technique that simplifies the identification and understanding of clusters, correlations, and complex patterns in high-dimensional data. The analysis is integrated into an interactive table-based visualization that maintains a consistent and familiar representation thro...	false	false	[ "Michael Blumenschein", "Michael Behrisch 0001", "Stefanie Schmid", "Simon Butscher", "Deborah Wahl", "Karoline Villinger", "Britta Renner", "Harald Reiterer", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,018	The Effect of Proximity in Social Data Charts on Perceived Unity	10.1109/VAST.2018.8802449	Social data charts - visual presentations of quantitative data about peer behaviors - may offer new means to motivate individuals to participate in group goals. However, to do so these charts need to create a semantic response of `unity' among the chart viewers in order to overcome the problems of social loafing where ...	false	false	[ "Marlen Promann", "Sabine Brunswicker" ]	[]	[]	[]
VAST	2,018	The Effect of Semantic Interaction on Foraging in Text Analysis	10.1109/VAST.2018.8802424	Completing text analysis tasks is a continuous sensemaking loop of foraging for information and incrementally synthesizing it into hypotheses. Past research has shown the advantages of using spatial workspaces as a means for synthesizing information through externalizing hypotheses and creating spatial schemas. However...	false	false	[ "John E. Wenskovitch", "Lauren Bradel", "Michelle Dowling", "Leanna House", "Chris North 0001" ]	[]	[]	[]
VAST	2,018	TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis	10.1109/TVCG.2018.2865018	Consider a multi-dimensional spatio-temporal (ST) dataset where each entry is a numerical measure defined by the corresponding temporal, spatial and other domain-specific dimensions. A typical approach to explore such data utilizes interactive visualizations with multiple coordinated views. Each view displays the aggre...	false	false	[ "Dongyu Liu", "Panpan Xu", "Ren Liu" ]	[ "BP" ]	[]	[]
VAST	2,018	VIBR: Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle	10.1109/TVCG.2018.2864826	Bipartite graphs model the key relations in many large scale real-world data: customers purchasing items, legislators voting for bills, people's affiliation with different social groups, faults occurring in vehicles, etc. However, it is challenging to visualize large scale bipartite graphs with tens of thousands or eve...	false	false	[ "Gromit Yeuk-Yin Chan", "Panpan Xu", "Zeng Dai", "Ren Liu" ]	[]	[]	[]
VAST	2,018	VIS Author Profiles: Interactive Descriptions of Publication Records Combining Text and Visualization	10.1109/TVCG.2018.2865022	Publication records and collaboration networks are important for assessing the expertise and experience of researchers. Existing digital libraries show the raw publication lists in author profiles, whereas visualization techniques focus on specific subproblems. Instead, we look at publication records from various persp...	false	false	[ "Shahid Latif", "Fabian Beck 0001" ]	[]	[]	[]
VAST	2,018	VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning	10.1109/TVCG.2018.2864838	While many VA workflows make use of machine-learned models to support analytical tasks, VA workflows have become increasingly important in understanding and improving Machine Learning (ML) processes. In this paper, we propose an ontology (VIS4ML) for a subarea of VA, namely “VA-assisted ML”. The purpose of VIS4ML is to...	false	false	[ "Dominik Sacha", "Matthias Kraus", "Daniel A. Keim", "Min Chen 0001" ]	[]	[]	[]
VAST	2,018	Visual Abstraction of Large Scale Geospatial Origin-Destination Movement Data	10.1109/TVCG.2018.2864503	A variety of human movement datasets are represented in an Origin-Destination(OD) form, such as taxi trips, mobile phone locations, etc. As a commonly-used method to visualize OD data, flow map always fails to discover patterns of human mobility, due to massive intersections and occlusions of lines on a 2D geographical...	false	false	[ "Zhiguang Zhou", "Linhao Meng", "Cheng Tang", "Ying Zhao 0001", "Zhiyong Guo", "Miaoxin Hu", "Wei Chen 0001" ]	[]	[]	[]
VAST	2,018	Visual Analysis of the Temporal Evolution of Ensemble Forecast Sensitivities	10.1109/TVCG.2018.2864901	Ensemble sensitivity analysis (ESA) has been established in the atmospheric sciences as a correlation-based approach to determine the sensitivity of a scalar forecast quantity computed by a numerical weather prediction model to changes in another model variable at a different model state. Its applications include deter...	false	false	[ "Alexander Kumpf", "Marc Rautenhaus", "Michael Riemer", "Rüdiger Westermann" ]	[]	[]	[]
VAST	2,018	Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution	10.1109/TVCG.2018.2864769	To effectively assess the potential consequences of human interventions in model-driven analytics systems, we establish the concept of speculative execution as a visual analytics paradigm for creating user-steerable preview mechanisms. This paper presents an explainable, mixed-initiative topic modeling framework that i...	false	false	[ "Mennatallah El-Assady", "Fabian Sperrle", "Oliver Deussen", "Daniel A. Keim", "Christopher Collins 0001" ]	[]	[]	[]
VAST	2,018	Visual Progression Analysis of Event Sequence Data	10.1109/TVCG.2018.2864885	Event sequence data is common to a broad range of application domains, from security to health care to scholarly communication. This form of data captures information about the progression of events for an individual entity (e.g., a computer network device; a patient; an author) in the form of a series of time-stamped ...	false	false	[ "Shunan Guo", "Zhuochen Jin", "David Gotz", "Fan Du", "Hongyuan Zha", "Nan Cao" ]	[]	[]	[]
VAST	2,018	Vulnus: Visual Vulnerability Analysis for Network Security	10.1109/TVCG.2018.2865028	Vulnerabilities represent one of the main weaknesses of IT systems and the availability of consolidated official data, like CVE (Common Vulnerabilities and Exposures), allows for using them to compute the paths an attacker is likely to follow. However, even if patches are available, business constraints or lack of reso...	false	false	[ "Marco Angelini", "Graziano Blasilli", "Tiziana Catarci", "Simone Lenti", "Giuseppe Santucci" ]	[]	[]	[]
VAST	2,018	VUSphere: Visual Analysis of Video Utilization in Online Distance Education	10.1109/VAST.2018.8802383	Online Distance Education (ODE) provides massive course videos of various specialties for students across the country to learn professional knowledge anytime and anywhere. Analyzing the utilization of these videos from user log data can help academics better understand the learning process of students, evaluate the qua...	false	false	[ "Huan He", "Qinghua Zheng", "Bo Dong 0001" ]	[]	[]	[]
SciVis	2,018	A Declarative Grammar of Flexible Volume Visualization Pipelines	10.1109/TVCG.2018.2864841	This paper presents a declarative grammar for conveniently and effectively specifying advanced volume visualizations. Existing methods for creating volume visualizations either lack the flexibility to specify sophisticated visualizations or are difficult to use for those unfamiliar with volume rendering implementation ...	false	false	[ "Min Shih", "Charles Rozhon", "Kwan-Liu Ma" ]	[]	[]	[]
SciVis	2,018	A Study of the Trade-off Between Reducing Precision and Reducing Resolution for Data Analysis and Visualization	10.1109/TVCG.2018.2864853	There currently exist two dominant strategies to reduce data sizes in analysis and visualization: reducing the precision of the data, e.g., through quantization, or reducing its resolution, e.g., by subsampling. Both have advantages and disadvantages and both face fundamental limits at which the reduced information cea...	false	false	[ "Duong Hoang", "Pavol Klacansky", "Harsh Bhatia", "Peer-Timo Bremer", "Peter Lindstrom 0001", "Valerio Pascucci" ]	[]	[]	[]
SciVis	2,018	An Interactive Framework for Visualization of Weather Forecast Ensembles	10.1109/TVCG.2018.2864815	Numerical Weather Prediction (NWP) ensembles are commonly used to assess the uncertainty and confidence in weather forecasts. Spaghetti plots are conventional tools for meteorologists to directly examine the uncertainty exhibited by ensembles, where they simultaneously visualize isocontours of all ensemble members. To ...	false	false	[ "Bo Ma 0002", "Alireza Entezari" ]	[]	[]	[]
SciVis	2,018	CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data	10.1109/TVCG.2018.2864801	CoDDA (Copula-based Distribution Driven Analysis) is a flexible framework for large-scale multivariate datasets. A common strategy to deal with large-scale scientific simulation data is to partition the simulation domain and create statistical data summaries. Instead of storing the high-resolution raw data from the sim...	false	false	[ "Subhashis Hazarika", "Soumya Dutta", "Han-Wei Shen", "Jen-Ping Chen" ]	[]	[]	[]
SciVis	2,018	CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data	10.1109/TVCG.2018.2864850	Adaptive mesh refinement (AMR) is a key technology for large-scale simulations that allows for adaptively changing the simulation mesh resolution, resulting in significant computational and storage savings. However, visualizing such AMR data poses a significant challenge due to the difficulties introduced by the hierar...	false	false	[ "Feng Wang 0013", "Ingo Wald", "Qi Wu 0015", "Will Usher 0001", "Christopher R. Johnson 0001" ]	[]	[]	[]
SciVis	2,018	Culling for Extreme-Scale Segmentation Volumes: A Hybrid Deterministic and Probabilistic Approach	10.1109/TVCG.2018.2864847	With the rapid increase in raw volume data sizes, such as terabyte-sized microscopy volumes, the corresponding segmentation label volumes have become extremely large as well. We focus on integer label data, whose efficient representation in memory, as well as fast random data access, pose an even greater challenge than...	false	false	[ "Johanna Beyer", "Haneen Mohammed", "Marco Agus", "Ali K. Al-Awami", "Hanspeter Pfister", "Markus Hadwiger" ]	[]	[]	[]
SciVis	2,018	Deadeye: A Novel Preattentive Visualization Technique Based on Dichoptic Presentation	10.1109/TVCG.2018.2864498	Preattentive visual features such as hue or flickering can effectively draw attention to an object of interest - for instance, an important feature in a scientific visualization. These features appear to pop out and can be recognized by our visual system, independently from the number of distractors. Most cues do not t...	false	false	[ "Andrey Krekhov", "Jens H. Krüger" ]	[ "BP" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2101.07048v1", "icon": "paper" } ]
SciVis	2,018	Details-First, Show Context, Overview Last: Supporting Exploration of Viscous Fingers in Large-Scale Ensemble Simulations	10.1109/TVCG.2018.2864849	Visualization research often seeks designs that first establish an overview of the data, in accordance to the information seeking mantra: “Overview first, zoom and filter, then details on demand”. However, in computational fluid dynamics (CFD), as well as in other domains, there are many situations where such a spatial...	false	false	[ "Timothy Luciani", "Andrew Thomas Burks", "Cassiano Sugiyama", "Jonathan Komperda", "G. Elisabeta Marai" ]	[]	[]	[]
SciVis	2,018	DT-MRI Streamsurfaces Revisited	10.1109/TVCG.2018.2864845	DT-MRI streamsurfaces, defined as surfaces that are everywhere tangential to the major and medium eigenvector fields, have been proposed as a tool for visualizing regions of predominantly planar behavior in diffusion tensor MRI. Even though it has long been known that their construction assumes that the involved eigenv...	false	false	[ "Michael Ankele", "Thomas Schultz 0001" ]	[]	[]	[]
SciVis	2,018	Dynamic Volume Lines: Visual Comparison of 3D Volumes through Space-filling Curves	10.1109/TVCG.2018.2864510	The comparison of many members of an ensemble is difficult, tedious, and error-prone, which is aggravated by often just subtle differences. In this paper, we introduce Dynamic Volume Lines for the interactive visual analysis and comparison of sets of 3D volumes. Each volume is linearized along a Hilbert space-filling c...	false	false	[ "Johannes Weissenböck", "Bernhard Fröhler", "M. Eduard Gröller", "Johann Kastner", "Christoph Heinzl" ]	[]	[]	[]
SciVis	2,018	Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps	10.1109/TVCG.2018.2864808	We present a novel visual representation and interface named the matrix of isosurface similarity maps (MISM) for effective exploration of large time-varying multivariate volumetric data sets. MISM synthesizes three types of similarity maps (i.e., self, temporal, and variable similarity maps) to capture the essential re...	false	false	[ "Jun Tao 0002", "Martin Imre", "Chaoli Wang 0001", "Nitesh V. Chawla", "Hanqi Guo 0001", "Gokhan Sever", "Seung Hyun Kim" ]	[]	[]	[]
SciVis	2,018	Firefly: Virtual Illumination Drones for Interactive Visualization	10.1109/TVCG.2018.2864656	Light specification in three dimensional scenes is a complex problem and several approaches have been presented that aim to automate this process. However, there are many scenarios where a static light setup is insufficient, as the scene content and camera position may change. Simultaneous manual control over the camer...	false	false	[ "Sergej Stoppel", "Magnus Paulson Erga", "Stefan Bruckner" ]	[ "HM" ]	[]	[]
SciVis	2,018	Gaia Sky: Navigating the Gaia Catalog	10.1109/TVCG.2018.2864508	In this paper, we present Gaia Sky, a free and open-source multiplatform 3D Universe system, developed since 2014 in the Data Processing and Analysis Consortium framework of ESA's Gaia mission. Gaia's data release 2 represents the largest catalog of the stars of our Galaxy, comprising 1.3 billion star positions, with p...	false	false	[ "Antoni Sagristà", "Stefan Jordan", "Thomas Müller 0005", "Filip Sadlo" ]	[]	[]	[]
SciVis	2,018	Hexahedral Mesh Structure Visualization and Evaluation	10.1109/TVCG.2018.2864827	Understanding hexahedral (hex-) mesh structures is important for a number of hex-mesh generation and optimization tasks. However, due to various configurations of the singularities in a valid pure hex-mesh, the structure (or base complex) of the mesh can be arbitrarily complex. In this work, we present a first and effe...	false	false	[ "Kaoji Xu", "Guoning Chen" ]	[]	[]	[]
SciVis	2,018	Interactive 3D Visual Analysis of Atmospheric Fronts	10.1109/TVCG.2018.2864806	Atmospheric fronts play a central role in meteorology, as the boundaries between different air masses and as fundamental features of extra-tropical cyclones. They appear in numerous conceptual model depictions of extra-tropical weather systems. Conceptually, fronts are three-dimensional surfaces in space possessing an ...	false	false	[ "Michael Kern", "Tim Hewson", "Andreas Schäfler", "Rüdiger Westermann", "Marc Rautenhaus" ]	[]	[]	[]
SciVis	2,018	Interactive obstruction-free lensing for volumetric data visualization	10.1109/TVCG.2018.2864690	Occlusion is an issue in volumetric visualization as it prevents direct visualization of the region of interest. While many techniques such as transfer functions, volume segmentation or view distortion have been developed to address this, there is still room for improvement to better support the understanding of object...	false	false	[ "Michael Traoré", "Christophe Hurter", "Alexandru C. Telea" ]	[]	[]	[]
SciVis	2,018	Interactive Visualization of 3D Histopathology in Native Resolution	10.1109/TVCG.2018.2864816	We present a visualization application that enables effective interactive visual analysis of large-scale 3D histopathology, that is, high-resolution 3D microscopy data of human tissue. Clinical work flows and research based on pathology have, until now, largely been dominated by 2D imaging. As we will show in the paper...	false	false	[ "Martin Falk", "Anders Ynnerman", "Darren Treanor", "Claes Lundström" ]	[]	[]	[]
SciVis	2,018	Interactive Visualization of RNA and DNA Structures	10.1109/TVCG.2018.2864507	The analysis and visualization of nucleic acids (RNA and DNA) is playing an increasingly important role due to their fundamental importance for all forms of life and the growing number of known 3D structures of such molecules. The great complexity of these structures, in particular, those of RNA, demands interactive vi...	false	false	[ "Norbert Lindow", "Daniel Baum", "Morgan Leborgne", "Hans-Christian Hege" ]	[]	[]	[]
SciVis	2,018	Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments	10.1109/TVCG.2018.2864491	Labeling is intrinsically important for exploring and understanding complex environments and models in a variety of domains. We present a method for interactive labeling of crowded 3D scenes containing very many instances of objects spanning multiple scales in size. In contrast to previous labeling methods, we target c...	false	false	[ "David Kouril", "Ladislav Cmolík", "Barbora Kozlíková", "Hsiang-Yun Wu", "Graham Johnson", "David S. Goodsell", "Arthur J. Olson", "M. Eduard Gröller", "Ivan Viola" ]	[ "HM" ]	[]	[]
SciVis	2,018	Objective Vortex Corelines of Finite-sized Objects in Fluid Flows	10.1109/TVCG.2018.2864828	Vortices are one of the most-frequently studied phenomena in fluid flows. The center of the rotating motion is called the vortex coreline and its successful detection strongly depends on the choice of the reference frame. The optimal frame moves with the center of the vortex, which incidentally makes the observed fluid...	false	false	[ "Tobias Günther", "Holger Theisel" ]	[]	[]	[]
SciVis	2,018	Persistence Atlas for Critical Point Variability in Ensembles	10.1109/TVCG.2018.2864432	This paper presents a new approach for the visualization and analysis of the spatial variability of features of interest represented by critical points in ensemble data. Our framework, called Persistence Atlas, enables the visualization of the dominant spatial patterns of critical points, along with statistics regardin...	false	false	[ "Guillaume Favelier", "Noura Faraj", "Brian Summa", "Julien Tierny" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1807.11212v1", "icon": "paper" } ]
SciVis	2,018	Probabilistic Asymptotic Decider for Topological Ambiguity Resolution in Level-Set Extraction for Uncertain 2D Data	10.1109/TVCG.2018.2864505	We present a framework for the analysis of uncertainty in isocontour extraction. The marching squares (MS) algorithm for isocontour reconstruction generates a linear topology that is consistent with hyperbolic curves of a piecewise bilinear interpolation. The saddle points of the bilinear interpolant cause topological ...	false	false	[ "Tushar M. Athawale", "Christopher R. Johnson 0001" ]	[]	[]	[]
SciVis	2,018	Recirculation Surfaces for Flow Visualization	10.1109/TVCG.2018.2864813	We present a formal approach to the visual analysis of recirculation in flows by introducing recirculation surfaces for 3D unsteady flow fields. Recirculation surfaces are the loci where massless particle integration returns to its starting point after some variable, finite integration. We give a rigorous definition of...	false	false	[ "Thomas Wilde", "Christian Rössl", "Holger Theisel" ]	[]	[]	[]
SciVis	2,018	Robust and Fast Extraction of 3D Symmetric Tensor Field Topology	10.1109/TVCG.2018.2864768	3D symmetric tensor fields appear in many science and engineering fields, and topology-driven analysis is important in many of these application domains, such as solid mechanics and fluid dynamics. Degenerate curves and neutral surfaces are important topological features in 3D symmetric tensor fields. Existing methods ...	false	false	[ "Lawrence Roy", "Prashant Kumar", "Yue Zhang 0009", "Eugene Zhang" ]	[]	[]	[]
SciVis	2,018	Shared-Memory Parallel Computation of Morse-Smale Complexes with Improved Accuracy	10.1109/TVCG.2018.2864848	Topological techniques have proven to be a powerful tool in the analysis and visualization of large-scale scientific data. In particular, the Morse-Smale complex and its various components provide a rich framework for robust feature definition and computation. Consequently, there now exist a number of approaches to com...	false	false	[ "Attila Gyulassy", "Peer-Timo Bremer", "Valerio Pascucci" ]	[]	[]	[]
SciVis	2,018	Tensor Field Visualization using Fiber Surfaces of Invariant Space	10.1109/TVCG.2018.2864846	Scientific visualization developed successful methods for scalar and vector fields. For tensor fields, however, effective, interactive visualizations are still missing despite progress over the last decades. We present a general approach for the generation of separating surfaces in symmetric, second-order, three-dimens...	false	false	[ "Felix Raith", "Christian Blecha", "Thomas Nagel", "Francesco Parisio", "Olaf Kolditz", "Fabian Günther", "Markus Stommel", "Gerik Scheuermann" ]	[]	[]	[]
SciVis	2,018	Time-Dependent Flow seen through Approximate Observer Killing Fields	10.1109/TVCG.2018.2864839	Flow fields are usually visualized relative to a global observer, i.e., a single frame of reference. However, often no global frame can depict all flow features equally well. Likewise, objective criteria for detecting features such as vortices often use either a global reference frame, or compute a separate frame for e...	false	false	[ "Markus Hadwiger", "Matej Mlejnek", "Thomas Theußl", "Peter Rautek" ]	[]	[]	[]
SciVis	2,018	Visual Analysis of Aneurysm Data using Statistical Graphics	10.1109/TVCG.2018.2864509	This paper presents a framework to explore multi-field data of aneurysms occurring at intracranial and cardiac arteries by using statistical graphics. The rupture of an aneurysm is often a fatal scenario, whereas during treatment serious complications for the patient can occur. Whether an aneurysm ruptures or whether a...	false	false	[ "Monique Meuschke", "Tobias Günther", "Philipp Berg", "Ralph Wickenhöfer", "Bernhard Preim", "Kai Lawonn" ]	[]	[]	[]
SciVis	2,018	Visual Analysis of Spatia-temporal Relations of Pairwise Attributes in Unsteady Flow	10.1109/TVCG.2018.2864817	Despite significant advances in the analysis and visualization of unsteady flow, the interpretation of it's behavior still remains a challenge. In this work, we focus on the linear correlation and non-linear dependency of different physical attributes of unsteady flows to aid their study from a new perspective. Specifi...	false	false	[ "Marzieh Berenjkoub", "Rodolfo Ostilla Monico", "Robert S. Laramee", "Guoning Chen" ]	[]	[]	[]
SciVis	2,018	Visualization of Bubble Formation in Porous Media	10.1109/TVCG.2018.2864506	We present a visualization approach for the analysis of CO2bubble-induced attenuation in porous rock formations. As a basis for this, we introduce customized techniques to extract CO2bubbles and their surrounding porous structure from X-ray computed tomography data (XCT) measurements. To understand how the structure of...	false	false	[ "Hui Zhang 0027", "Steffen Frey", "Holger Steeb", "David Uribe", "Thomas Ertl", "Wenping Wang" ]	[]	[]	[]
SciVis	2,018	Visualization of Large Molecular Trajectories	10.1109/TVCG.2018.2864851	The analysis of protein-ligand interactions is a time-intensive task. Researchers have to analyze multiple physico-chemical properties of the protein at once and combine them to derive conclusions about the protein-ligand interplay. Typically, several charts are inspected, and 3D animations can be played side-by-side t...	false	false	[ "David Duran", "Pedro Hermosilla", "Timo Ropinski", "Barbora Kozlíková", "Àlvar Vinacua", "Pere-Pau Vázquez" ]	[]	[]	[]
SciVis	2,018	Visualization of Neuronal Structures in Wide-Field Microscopy Brain Images	10.1109/TVCG.2018.2864852	Wide-field microscopes are commonly used in neurobiology for experimental studies of brain samples. Available visualization tools are limited to electron, two-photon, and confocal microscopy datasets, and current volume rendering techniques do not yield effective results when used with wide-field data. We present a wor...	false	false	[ "Saeed Boorboor", "Shreeraj Jadhav", "Mala Ananth 0001", "David Talmage", "Lorna Role", "Arie E. Kaufman" ]	[]	[]	[]
InfoVis	2,018	A Declarative Rendering Model for Multiclass Density Maps	10.1109/TVCG.2018.2865141	Multiclass maps are scatterplots, multidimensional projections, or thematic geographic maps where data points have a categorical attribute in addition to two quantitative attributes. This categorical attribute is often rendered using shape or color, which does not scale when overplotting occurs. When the number of data...	false	false	[ "Jaemin Jo", "Frédéric Vernier", "Pierre Dragicevic", "Jean-Daniel Fekete" ]	[]	[]	[]
InfoVis	2,018	A Framework for Creative Visualization-Opportunities Workshops	10.1109/TVCG.2018.2865241	Applied visualization researchers often work closely with domain collaborators to explore new and useful applications of visualization. The early stages of collaborations are typically time consuming for all stakeholders as researchers piece together an understanding of domain challenges from disparate discussions and ...	false	false	[ "Ethan Kerzner", "Sarah Goodwin", "Jason Dykes", "Sara Jones 0001", "Miriah D. Meyer" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1808.02502v1", "icon": "paper" } ]
InfoVis	2,018	A Framework for Externalizing Implicit Error Using Visualization	10.1109/TVCG.2018.2864913	This paper presents a framework for externalizing and analyzing expert knowledge about discrepancies in data through the use of visualization. Grounded in an 18-month design study with global health experts, the framework formalizes the notion of data discrepancies as implicit error, both in global health data and more...	false	false	[ "Nina McCurdy", "Julie Gerdes", "Miriah D. Meyer" ]	[]	[]	[]
InfoVis	2,018	A Heuristic Approach to Value-Driven Evaluation of Visualizations	10.1109/TVCG.2018.2865146	Recently, an approach for determining the value of a visualization was proposed, one moving beyond simple measurements of task accuracy and speed. The value equation contains components for the time savings a visualization provides, the insights and insightful questions it spurs, the overall essence of the data it conv...	false	false	[ "Emily Wall", "Meeshu Agnihotri", "Laura E. Matzen", "Kristin Divis", "Michael J. Haass", "Alex Endert", "John T. Stasko" ]	[]	[]	[]
InfoVis	2,018	At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity	10.1109/TVCG.2018.2865264	When inspecting information visualizations under time critical settings, such as emergency response or monitoring the heart rate in a surgery room, the user only has a small amount of time to view the visualization “at a glance”. In these settings, it is important to provide a quantitative measure of the visualization ...	false	false	[ "Gabriel Ryan", "Abigail Mosca", "Remco Chang", "Eugene Wu 0002" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1811.03180v1", "icon": "paper" } ]
InfoVis	2,018	Augmenting Visualizations with Interactive Data Facts to Facilitate Interpretation and Communication	10.1109/TVCG.2018.2865145	Recently, an increasing number of visualization systems have begun to incorporate natural language generation (NLG) capabilities into their interfaces. NLG-based visualization systems typically leverage a suite of statistical functions to automatically extract key facts about the underlying data and surface them as nat...	false	false	[ "Arjun Srinivasan", "Steven Mark Drucker", "Alex Endert", "John T. Stasko" ]	[]	[]	[]
InfoVis	2,018	Charticulator: Interactive Construction of Bespoke Chart Layouts	10.1109/TVCG.2018.2865158	We present Charticulator, an interactive authoring tool that enables the creation of bespoke and reusable chart layouts. Charticulator is our response to most existing chart construction interfaces that require authors to choose from predefined chart layouts, thereby precluding the construction of novel charts. In cont...	false	false	[ "Donghao Ren", "Bongshin Lee", "Matthew Brehmer" ]	[ "HM" ]	[]	[]
InfoVis	2,018	Comparing Similarity Perception in Time Series Visualizations	10.1109/TVCG.2018.2865077	A common challenge faced by many domain experts working with time series data is how to identify and compare similar patterns. This operation is fundamental in high-level tasks, such as detecting recurring phenomena or creating clusters of similar temporal sequences. While automatic measures exist to compute time serie...	false	false	[ "Anna Gogolou", "Theophanis Tsandilas", "Themis Palpanas", "Anastasia Bezerianos" ]	[]	[]	[]
InfoVis	2,018	Design Exposition with Literate Visualization	10.1109/TVCG.2018.2864836	We propose a new approach to the visualization design and communication process, literate visualization, based upon and extending, Donald Knuth's idea of literate programming. It integrates the process of writing data visualization code with description of the design choices that led to the implementation (design expos...	false	false	[ "Jo Wood", "Alexander Kachkaev", "Jason Dykes" ]	[ "HM" ]	[]	[]
InfoVis	2,018	DimReader: Axis lines that explain non-linear projections	10.1109/TVCG.2018.2865194	Non-linear dimensionality reduction (NDR) methods such as LLE and t-SNE are popular with visualization researchers and experienced data analysts, but present serious problems of interpretation. In this paper, we present DimReader, a technique that recovers readable axes from such techniques. DimReader is based on analy...	false	false	[ "Rebecca Faust", "David Glickenstein", "Carlos Scheidegger" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1710.00992v2", "icon": "paper" } ]
InfoVis	2,018	DXR: A Toolkit for Building Immersive Data Visualizations	10.1109/TVCG.2018.2865152	This paper presents DXR, a toolkit for building immersive data visualizations based on the Unity development platform. Over the past years, immersive data visualizations in augmented and virtual reality (AR, VR) have been emerging as a promising medium for data sense-making beyond the desktop. However, creating immersi...	false	false	[ "Ronell Sicat", "Jiabao Li", "Junyoung Choi", "Maxime Cordeil", "Won-Ki Jeong", "Benjamin Bach", "Hanspeter Pfister" ]	[]	[]	[]
InfoVis	2,018	Dynamic Composite Data Physicalization Using Wheeled Micro-Robots	10.1109/TVCG.2018.2865159	This paper introduces dynamic composite physicalizations, a new class of physical visualizations that use collections of self-propelled objects to represent data. Dynamic composite physicalizations can be used both to give physical form to well-known interactive visualization techniques, and to explore new visualizatio...	false	false	[ "Mathieu Le Goc", "Charles Perin", "Sean Follmer", "Jean-Daniel Fekete", "Pierre Dragicevic" ]	[]	[]	[]
InfoVis	2,018	Elastic Documents: Coupling Text and Tables through Contextual Visualizations for Enhanced Document Reading	10.1109/TVCG.2018.2865119	Today's data-rich documents are often complex datasets in themselves, consisting of information in different formats such as text, figures, and data tables. These additional media augment the textual narrative in the document. However, the static layout of a traditional for-print document often impedes deep understandi...	false	false	[ "Sriram Karthik Badam", "Zhicheng Liu", "Niklas Elmqvist" ]	[]	[]	[]
InfoVis	2,018	Embedded Merge & Split: Visual Adjustment of Data Grouping	10.1109/TVCG.2018.2865075	Data grouping is among the most frequently used operations in data visualization. It is the process through which relevant information is gathered, simplified, and expressed in summary form. Many popular visualization tools support automatic grouping of data (e.g., dividing up a numerical variable into bins). Although ...	false	false	[ "Ali Sarvghad", "Bahador Saket", "Alex Endert", "Nadir Weibel" ]	[]	[]	[]
InfoVis	2,018	Evaluating ‘Graphical Perception’ with CNNs	10.1109/TVCG.2018.2865138	Convolutional neural networks can successfully perform many computer vision tasks on images. For visualization, how do CNNs perform when applied to graphical perception tasks? We investigate this question by reproducing Cleveland and McGill's seminal 1984 experiments, which measured human perception efficiency of diffe...	false	false	[ "Daniel Haehn", "James Tompkin 0001", "Hanspeter Pfister" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/8b9xs", "icon": "paper" } ]
InfoVis	2,018	Face to Face: Evaluating Visual Comparison	10.1109/TVCG.2018.2864884	Data are often viewed as a single set of values, but those values frequently must be compared with another set. The existing evaluations of designs that facilitate these comparisons tend to be based on intuitive reasoning, rather than quantifiable measures. We build on this work with a series of crowdsourced experiment...	false	false	[ "Brian D. Ondov", "Nicole Jardine", "Niklas Elmqvist", "Steven Franconeri" ]	[]	[]	[]
InfoVis	2,018	FiberClay: Sculpting Three Dimensional Trajectories to Reveal Structural Insights	10.1109/TVCG.2018.2865191	Visualizing 3D trajectories to extract insights about their similarities and spatial configuration is a critical task in several domains. Air traffic controllers for example deal with large quantities of aircrafts routes to optimize safety in airspace and neuroscientists attempt to understand neuronal pathways in the h...	false	false	[ "Christophe Hurter", "Nathalie Henry Riche", "Steven Mark Drucker", "Maxime Cordeil", "Richard Alligier", "Romain Vuillemot" ]	[]	[]	[]
InfoVis	2,018	Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco	10.1109/TVCG.2018.2865240	There exists a gap between visualization design guidelines and their application in visualization tools. While empirical studies can provide design guidance, we lack a formal framework for representing design knowledge, integrating results across studies, and applying this knowledge in automated design tools that promo...	false	false	[ "Dominik Moritz", "Chenglong Wang", "Greg L. Nelson", "Halden Lin", "Adam M. Smith 0001", "Bill Howe", "Jeffrey Heer" ]	[ "BP" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/3eg9c", "icon": "paper" } ]
InfoVis	2,018	Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches	10.1109/TVCG.2018.2865142	We present the results of two perception studies to assess how quickly people can perform a simple data comparison task for small-scale visualizations on a smartwatch. The main goal of these studies is to extend our understanding of design constraints for smartwatch visualizations. Previous work has shown that a vast m...	false	false	[ "Tanja Blascheck", "Lonni Besançon", "Anastasia Bezerianos", "Bongshin Lee", "Petra Isenberg" ]	[]	[]	[]
InfoVis	2,018	Graphicle: Exploring Units, Networks, and Context in a Blended Visualization Approach	10.1109/TVCG.2018.2865151	Many real-world datasets are large, multivariate, and relational in nature and relevant associated decisions frequently require a simultaneous consideration of both attributes and connections. Existing visualization systems and approaches, however, often make an explicit trade-off between either affording rich explorat...	false	false	[ "Timothy Major", "Rahul C. Basole" ]	[]	[]	[]
InfoVis	2,018	Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data	10.1109/TVCG.2018.2864909	Animated representations of outcomes drawn from distributions (hypothetical outcome plots, or HOPs) are used in the media and other public venues to communicate uncertainty. HOPs greatly improve multivariate probability estimation over conventional static uncertainty visualizations and leverage the ability of the visua...	false	false	[ "Alex Kale", "Francis Nguyen", "Matthew Kay 0001", "Jessica Hullman" ]	[]	[]	[]
InfoVis	2,018	IDMVis: Temporal Event Sequence Visualization for Type 1 Diabetes Treatment Decision Support	10.1109/TVCG.2018.2865076	Type 1 diabetes is a chronic, incurable autoimmune disease affecting millions of Americans in which the body stops producing insulin and blood glucose levels rise. The goal of intensive diabetes management is to lower average blood glucose through frequent adjustments to insulin protocol, diet, and behavior. Manual log...	false	false	[ "Yixuan Zhang", "Kartik Chanana", "Cody Dunne" ]	[]	[]	[]
InfoVis	2,018	Image-Based Aspect Ratio Selection	10.1109/TVCG.2018.2865266	Selecting a good aspect ratio is crucial for effective 2D diagrams. There are several aspect ratio selection methods for function plots and line charts, but only few can handle general, discrete diagrams such as 2D scatter plots. However, these methods either lack a perceptual foundation or heavily rely on intermediate...	false	false	[ "Yunhai Wang", "Zeyu Wang 0005", "Chi-Wing Fu", "Hansjörg Schmauder", "Oliver Deussen", "Daniel Weiskopf" ]	[]	[]	[]
InfoVis	2,018	In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation	10.1109/TVCG.2018.2864889	Understanding and accounting for uncertainty is critical to effectively reasoning about visualized data. However, evaluating the impact of an uncertainty visualization is complex due to the difficulties that people have interpreting uncertainty and the challenge of defining correct behavior with uncertainty information...	false	false	[ "Jessica Hullman", "Xiaoli Qiao", "Michael Correll", "Alex Kale", "Matthew Kay 0001" ]	[]	[]	[]
InfoVis	2,018	Information Olfactation: Harnessing Scent to Convey Data	10.1109/TVCG.2018.2865237	Olfactory feedback for analytical tasks is a virtually unexplored area in spite of the advantages it offers for information recall, feature identification, and location detection. Here we introduce the concept of information olfactation as the fragrant sibling of information visualization, and discuss how scent can be ...	false	false	[ "Biswaksen Patnaik", "Andrea Batch", "Niklas Elmqvist" ]	[]	[]	[]
InfoVis	2,018	iStoryline: Effective Convergence to Hand-drawn Storylines	10.1109/TVCG.2018.2864899	Storyline visualization techniques have progressed significantly to generate illustrations of complex stories automatically. However, the visual layouts of storylines are not enhanced accordingly despite the improvement in the performance and extension of its application area. Existing methods attempt to achieve severa...	false	false	[ "Tan Tang", "Sadia Rubab", "Jiewen Lai", "Weiwei Cui", "Lingyun Yu 0001", "Yingcai Wu" ]	[]	[]	[]
InfoVis	2,018	Juniper: A Tree+Table Approach to Multivariate Graph Visualization	10.1109/TVCG.2018.2865149	Analyzing large, multivariate graphs is an important problem in many domains, yet such graphs are challenging to visualize. In this paper, we introduce a novel, scalable, tree-table multivariate graph visualization technique, which makes many tasks related to multivariate graph analysis easier to achieve. The core prin...	false	false	[ "Carolina Nobre", "Marc Streit", "Alexander Lex" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1804.03261v2", "icon": "paper" } ]
InfoVis	2,018	Looks Good To Me: Visualizations As Sanity Checks	10.1109/TVCG.2018.2864907	Famous examples such as Anscombe's Quartet highlight that one of the core benefits of visualizations is allowing people to discover visual patterns that might otherwise be hidden by summary statistics. This visual inspection is particularly important in exploratory data analysis, where analysts can use visualizations s...	false	false	[ "Michael Correll", "Mingwei Li", "Gordon L. Kindlmann", "Carlos Scheidegger" ]	[]	[]	[]
InfoVis	2,018	Mapping Color to Meaning in Colormap Data Visualizations	10.1109/TVCG.2018.2865147	To interpret data visualizations, people must determine how visual features map onto concepts. For example, to interpret colormaps, people must determine how dimensions of color (e.g., lightness, hue) map onto quantities of a given measure (e.g., brain activity, correlation magnitude). This process is easier when the e...	false	false	[ "Karen B. Schloss", "Connor Gramazio", "Allison T. Silverman", "Madeline L. Parker", "Audrey S. Wang" ]	[ "HM" ]	[]	[]
InfoVis	2,018	Mitigating the Attraction Effect with Visualizations	10.1109/TVCG.2018.2865233	Human decisions are prone to biases, and this is no less true for decisions made within data visualizations. Bias mitigation strategies often focus on the person, by educating people about their biases, typically with little success. We focus instead on the system, presenting the first evidence that altering the design...	false	false	[ "Evanthia Dimara", "Gilles Bailly", "Anastasia Bezerianos", "Steven Franconeri" ]	[]	[]	[]
InfoVis	2,018	Multiple Coordinated Views at Large Displays for Multiple Users: Empirical Findings on User Behavior, Movements, and Distances	10.1109/TVCG.2018.2865235	Interactive wall-sized displays benefit data visualization. Due to their sheer display size, they make it possible to show large amounts of data in multiple coordinated views (MCV) and facilitate collaborative data analysis. In this work, we propose a set of important design considerations and contribute a fundamental ...	false	false	[ "Ricardo Langner", "Ulrike Kister", "Raimund Dachselt" ]	[]	[]	[]
InfoVis	2,018	Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs	10.1109/TVCG.2018.2865232	Visual designs can be complex in modern data visualization systems, which poses special challenges for explaining them to the non-experts. However, few if any presentation tools are tailored for this purpose. In this study, we present Narvis, a slideshow authoring tool designed for introducing data visualizations to no...	false	false	[ "Qianwen Wang", "Zhen Li 0044", "Siwei Fu", "Weiwei Cui", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.05609v1", "icon": "paper" } ]
InfoVis	2,018	NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models	10.1109/TVCG.2018.2865230	With the recent advances in deep learning, neural network models have obtained state-of-the-art performances for many linguistic tasks in natural language processing. However, this rapid progress also brings enormous challenges. The opaque nature of a neural network model leads to hard-to-debug-systems and difficult-to...	false	false	[ "Shusen Liu", "Zhimin Li", "Tao Li 0039", "Vivek Srikumar", "Valerio Pascucci", "Peer-Timo Bremer" ]	[]	[]	[]
InfoVis	2,018	Optimizing Color Assignment for Perception of Class Separability in Multiclass Scatterplots	10.1109/TVCG.2018.2864912	Appropriate choice of colors significantly aids viewers in understanding the structures in multiclass scatterplots and becomes more important with a growing number of data points and groups. An appropriate color mapping is also an important parameter for the creation of an aesthetically pleasing scatterplot. Currently,...	false	false	[ "Yunhai Wang", "Xin Chen", "Tong Ge", "Chen Bao", "Michael Sedlmair", "Chi-Wing Fu", "Oliver Deussen", "Baoquan Chen" ]	[]	[]	[]
InfoVis	2,018	Origin-Destination Flow Maps in Immersive Environments	10.1109/TVCG.2018.2865192	Immersive virtual- and augmented-reality headsets can overlay a flat image against any surface or hang virtual objects in the space around the user. The technology is rapidly improving and may, in the long term, replace traditional flat panel displays in many situations. When displays are no longer intrinsically flat, ...	false	false	[ "Yalong Yang 0001", "Tim Dwyer", "Bernhard Jenny", "Kim Marriott", "Maxime Cordeil", "Haohui Chen" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.02089v1", "icon": "paper" } ]
InfoVis	2,018	Patterns and Pace: Quantifying Diverse Exploration Behavior with Visualizations on the Web	10.1109/TVCG.2018.2865117	The diverse and vibrant ecosystem of interactive visualizations on the web presents an opportunity for researchers and practitioners to observe and analyze how everyday people interact with data visualizations. However, existing metrics of visualization interaction behavior used in research do not fully reveal the brea...	false	false	[ "Mi Feng", "Evan M. Peck", "Lane Harrison" ]	[]	[]	[]
InfoVis	2,018	Shape-preserving Star Coordinates	10.1109/TVCG.2018.2865118	Dimensionality reduction is commonly applied to multidimensional data to reduce the complexity of their analysis. In visual analysis systems, projections embed multidimensional data into 2D or 3D spaces for graphical representation. To facilitate a robust and accurate analysis, essential characteristics of the multidim...	false	false	[ "Vladimir Molchanov", "Lars Linsen" ]	[]	[]	[]
InfoVis	2,018	SmartCues: A Multitouch Query Approach for Details-on-Demand through Dynamically Computed Overlays	10.1109/TVCG.2018.2865231	Details-on-demand is a crucial feature in the visual information-seeking process but is often only implemented in highly constrained settings. The most common solution, hover queries (i.e., tooltips), are fast and expressive but are usually limited to single mark (e.g., a bar in a bar chart). `Queries' to retrieve deta...	false	false	[ "Hariharan Subramonyam", "Eytan Adar" ]	[]	[]	[]
InfoVis	2,018	SRVis: Towards Better Spatial Integration in Ranking Visualization	10.1109/TVCG.2018.2865126	Interactive ranking techniques have substantially promoted analysts' ability in making judicious and informed decisions effectively based on multiple criteria. However, the existing techniques cannot satisfactorily support the analysis tasks involved in ranking large-scale spatial alternatives, such as selecting optima...	false	false	[ "Di Weng", "Ran Chen", "Zikun Deng", "Feiran Wu", "Jingmin Chen", "Yingcai Wu" ]	[]	[]	[]
InfoVis	2,018	Structure-aware Fisheye Views for Efficient Large Graph Exploration	10.1109/TVCG.2018.2864911	Traditional fisheye views for exploring large graphs introduce substantial distortions that often lead to a decreased readability of paths and other interesting structures. To overcome these problems, we propose a framework for structure-aware fisheye views. Using edge orientations as constraints for graph layout optim...	false	false	[ "Yunhai Wang", "Yanyan Wang", "Haifeng Zhang", "Yinqi Sun", "Chi-Wing Fu", "Michael Sedlmair", "Baoquan Chen", "Oliver Deussen" ]	[]	[]	[]
InfoVis	2,018	Structure-Based Suggestive Exploration: A New Approach for Effective Exploration of Large Networks	10.1109/TVCG.2018.2865139	When analyzing a visualized network, users need to explore different sections of the network to gain insight. However, effective exploration of large networks is often a challenge. While various tools are available for users to explore the global and local features of a network, these tools usually require significant ...	false	false	[ "Wei Chen 0001", "Fangzhou Guo", "Dongming Han", "Jacheng Pan", "Xiaotao Nie", "Jiazhi Xia", "Xiaolong Zhang 0001" ]	[]	[]	[]
InfoVis	2,018	Temporal Treemaps: Static Visualization of Evolving Trees	10.1109/TVCG.2018.2865265	We consider temporally evolving trees with changing topology and data: tree nodes may persist for a time range, merge or split, and the associated data may change. Essentially, one can think of this as a time series of trees with a node correspondence per hierarchy level between consecutive time steps. Existing visuali...	false	false	[ "Wiebke Köpp", "Tino Weinkauf" ]	[]	[]	[]
InfoVis	2,018	Vistrates: A Component Model for Ubiquitous Analytics	10.1109/TVCG.2018.2865144	Visualization tools are often specialized for specific tasks, which turns the user's analytical workflow into a fragmented process performed across many tools. In this paper, we present a component model design for data visualization to promote modular designs of visualization tools that enhance their analytical scope....	false	false	[ "Sriram Karthik Badam", "Andreas Mathisen", "Roman Rädle", "Clemens Nylandsted Klokmose", "Niklas Elmqvist" ]	[]	[]	[]
InfoVis	2,018	Visualizing Ranges over Time on Mobile Phones: A Task-Based Crowdsourced Evaluation	10.1109/TVCG.2018.2865234	In the first crowdsourced visualization experiment conducted exclusively on mobile phones, we compare approaches to visualizing ranges over time on small displays. People routinely consume such data via a mobile phone, from temperatures in weather forecasting apps to sleep and blood pressure readings in personal health...	false	false	[ "Matthew Brehmer", "Bongshin Lee", "Petra Isenberg", "Eun Kyoung Choe" ]	[]	[]	[]
InfoVis	2,018	Visualizing Uncertain Tropical Cyclone Predictions using Representative Samples from Ensembles of Forecast Tracks	10.1109/TVCG.2018.2865193	A common approach to sampling the space of a prediction is the generation of an ensemble of potential outcomes, where the ensemble's distribution reveals the statistical structure of the prediction space. For example, the US National Hurricane Center generates multiple day predictions for a storm's path, size, and wind...	false	false	[ "Le Liu 0007", "Lace M. K. Padilla", "Sarah H. Creem-Regehr", "Donald H. House" ]	[]	[]	[]
InfoVis	2,018	What Do We Talk About When We Talk About Dashboards?	10.1109/TVCG.2018.2864903	Dashboards are one of the most common use cases for data visualization, and their design and contexts of use are considerably different from exploratory visualization tools. In this paper, we look at the broad scope of how dashboards are used in practice through an analysis of dashboard examples and documentation about...	false	false	[ "Alper Sarikaya", "Michael Correll", "Lyn Bartram", "Melanie Tory", "Danyel Fisher" ]	[]	[]	[]

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.