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- affiliation: University of Oklahoma, Norman, USA
- affiliation: Purdue University, West Lafayette, IN, USA
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2020 – today
- 2023
[j105]Danielle Szafir, David S. Ebert, Hendrik Strobelt:
Welcome: Message from the VIS 2022 General Chairs. IEEE Trans. Vis. Comput. Graph. 29(1): xv (2023)- [c131]Brian Fisher, Kelly P. Gaither, David S. Ebert:
Introduction to the Minitrack on Interactive Visual Analytics for Knowledge Integration and Decision Intelligence. HICSS 2023: 1215 - 2022
- [c130]David S. Ebert, Brian David Fisher, Kelly P. Gaither:
Introduction to the Minitrack on Interactive Visual Analytics and Visualization for Decision Making. HICSS 2022: 1 - 2021
- [j104]Emma Beauxis-Aussalet
, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne:
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41(6): 7-12 (2021) - [j103]Audrey Reinert, Luke S. Snyder, Jieqiong Zhao, Andrew S. Fox, Dean F. Hougen, Charles D. Nicholson, David S. Ebert:
Corrections to "Visual Analytics for Decision-Making During Pandemics". Comput. Sci. Eng. 23(1): 106 (2021) - [j102]David S. Ebert, Audrey Reinert, Brian D. Fisher, João Comba, Kelly P. Gaither:
Visual Analytics Review: An Early and Continuing Success of Convergent Research With Impact. Comput. Sci. Eng. 23(3): 99-108 (2021) - [j101]Rui Zhang, Jonas Lukasczyk, Feng Wang, David S. Ebert, Paulo Shakarian, Elizabeth A. Mack, Ross Maciejewski:
Exploring geographic hotspots using topological data analysis. Trans. GIS 25(6): 3188-3209 (2021) - [c129]Brian D. Fisher, David S. Ebert, Kelly P. Gaither:
Introduction to the Minitrack on Interactive Visual Analytics and Visualization for Decision Making. HICSS 2021: 1-2 - [c128]Luke S. Snyder, Audrey Reinert, David S. Ebert:
PanViz 2.0: Intregating AI into Visual analytics to adapt to the novel challenges of COVID-19. HICSS 2021: 1-9 - 2020
- [j100]Jose Florencio de Queiroz Neto, Emanuele Marques dos Santos, Creto Augusto Vidal, David S. Ebert:
A Visual Analytics Approach to Facilitate Crime Hotspot Analysis. Comput. Graph. Forum 39(3): 139-151 (2020) - [j99]Audrey Reinert, Luke S. Snyder, Jieqiong Zhao, Andrew S. Fox, Dean F. Hougen, Charles D. Nicholson, David S. Ebert:
Visual Analytics for Decision-Making During Pandemics. Comput. Sci. Eng. 22(6): 48-59 (2020) - [j98]Mosab Khayat, Morteza Karimzadeh, David S. Ebert, Arif Ghafoor:
The Validity, Generalizability and Feasibility of Summative Evaluation Methods in Visual Analytics. IEEE Trans. Vis. Comput. Graph. 26(1): 353-363 (2020) - [j97]Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert:
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness. IEEE Trans. Vis. Comput. Graph. 26(1): 558-568 (2020) - [j96]Mosab Khayat, Morteza Karimzadeh, Jieqiong Zhao, David S. Ebert:
VASSL: A Visual Analytics Toolkit for Social Spambot Labeling. IEEE Trans. Vis. Comput. Graph. 26(1): 874-883 (2020) - [j95]Jieqiong Zhao, Morteza Karimzadeh, Luke S. Snyder, Chittayong Surakitbanharn, Zhenyu Cheryl Qian, David S. Ebert:
MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies. IEEE Trans. Vis. Comput. Graph. 26(1): 1193-1203 (2020) - [j94]Chunggi Lee, Yeonjun Kim, Seungmin Jin, Dongmin Kim, Ross Maciejewski, David S. Ebert, Sungahn Ko:
A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion. IEEE Trans. Vis. Comput. Graph. 26(11): 3133-3146 (2020) - [c127]David S. Ebert, Kelly P. Gaither, Brian D. Fisher:
Introduction to the Minitrack on Interactive Visual Analytics and Visualization for Decision Making - Making Sense of a Growing Digital World. HICSS 2020: 1-2 - [c126]Jieqiong Zhao, Morteza Karimzadeh, Hanye Xu, Abish Malik, Shehzad Afzal, Guizhen Wang, Niklas Elmqvist, David S. Ebert:
Route Packing: Geospatially-Accurate Visualization of Route Networks. HICSS 2020: 1-10 - [c125]Guizhen Wang, Jingjing Guo, Mingjie Tang, José Florencio de Queiroz Neto, Calvin Yau, Anas Daghistani, Morteza Karimzadeh, Walid G. Aref, David S. Ebert:
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data. IEEE VAST@IEEE VIS 2020: 72-83 - [c124]Shehzad Afzal, Sohaib Ghani, Hank C. Jenkins-Smith, David S. Ebert, Markus Hadwiger, Ibrahim Hoteit:
A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization. IEEE VIS (Short Papers) 2020: 86-90 - [i18]Isha Ghodgaonkar, Subhankar Chakraborty, Vishnu Banna, Shane Allcroft, Mohammed Metwaly, Fischer Bordwell, Kohsuke Kimura, Xinxin Zhao, Abhinav Goel, Caleb Tung, Akhil Chinnakotla, Minghao Xue, Yung-Hsiang Lu, Mark Daniel Ward, Wei Zakharov, David S. Ebert, David M. Barbarash, George K. Thiruvathukal:
Analyzing Worldwide Social Distancing through Large-Scale Computer Vision. CoRR abs/2008.12363 (2020) - [i17]Guizhen Wang, Jingjing Guo, Mingjie Tang, José Florencio de Queiroz Neto, Calvin Yau, Anas Daghistani, Morteza Karimzadeh, Walid G. Aref, David S. Ebert:
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data. CoRR abs/2008.13028 (2020) - [i16]Shehzad Afzal, Sohaib Ghani, Hank C. Jenkins-Smith, David S. Ebert, Markus Hadwiger, Ibrahim Hoteit:
A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization. CoRR abs/2010.11897 (2020)
2010 – 2019
- 2019
- [j93]Lindy Ryan, Deborah Silver, Robert S. Laramee, David S. Ebert, Theresa-Marie Rhyne:
Teaching Data Visualization as a Skill. IEEE Computer Graphics and Applications 39(2): 95-103 (2019) - [j92]Min Chen, David S. Ebert:
An Ontological Framework for Supporting the Design and Evaluation of Visual Analytics Systems. Comput. Graph. Forum 38(3): 131-144 (2019) - [j91]Calvin Yau, Morteza Karimzadeh, Chittayong Surakitbanharn, Niklas Elmqvist, David S. Ebert:
Bridging the Data Analysis Communication Gap Utilizing a Three-Component Summarized Line Graph. Comput. Graph. Forum 38(3): 375-386 (2019) - [j90]Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, David S. Ebert:
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models. IEEE Trans. Vis. Comput. Graph. 25(1): 364-373 (2019) - [c123]David S. Ebert:
Visual Spatial Analytics and Trusted Information for Effective Decision Making. SIGSPATIAL/GIS 2019: 2 - [c122]Luke S. Snyder, Morteza Karimzadeh, Ray Chen, David S. Ebert:
City-level Geolocation of Tweets for Real-time Visual Analytics. GeoAI@SIGSPATIAL 2019: 85-88 - [c121]David S. Ebert, Brian D. Fisher, Kelly P. Gaither:
Introduction to the Minitrack on Interactive Visual Analytics and Visualization for Decision Making - Making Sense of a Growing Digital World. HICSS 2019: 1-2 - [c120]Jieqiong Zhao, Morteza Karimzadeh, Ali Masjedi, Taojun Wang, Xiwen Zhang, Melba M. Crawford, David S. Ebert:
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images. IEEE VIS (Short Papers) 2019: 161-165 - [i15]Chittayong Surakitbanharn, Calvin Yau, Guizhen Wang, Aniesh Chawla, Yinuo Pan, Zhaoya Sun, Sam Yellin, David S. Ebert, Yung-Hsiang Lu, George K. Thiruvathukal:
Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response. CoRR abs/1901.06459 (2019) - [i14]Mosab Khayat, Morteza Karimzadeh, David S. Ebert, Arif Ghafoor:
The Validity, Generalizability and Feasibility of Summative Evaluation Methods in Visual Analytics. CoRR abs/1907.13314 (2019) - [i13]Mosab Khayat, Morteza Karimzadeh, Jieqiong Zhao, David S. Ebert:
VASSL: A Visual Analytics Toolkit for Social Spambot Labeling. CoRR abs/1907.13319 (2019) - [i12]Jieqiong Zhao, Morteza Karimzadeh, Luke S. Snyder, Chittayong Surakitbanharn, Zhenyu Cheryl Qian, David S. Ebert:
MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies. CoRR abs/1907.13601 (2019) - [i11]Jieqiong Zhao, Morteza Karimzadeh, Ali Masjedi, Taojun Wang, Xiwen Zhang, Melba M. Crawford, David S. Ebert:
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images. CoRR abs/1908.00671 (2019) - [i10]Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert:
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness. CoRR abs/1908.02588 (2019) - [i9]Luke S. Snyder, Morteza Karimzadeh, Christina Stober, David S. Ebert:
Situational Awareness Enhanced through Social Media Analytics: A Survey of First Responders. CoRR abs/1909.07316 (2019) - [i8]Jieqiong Zhao, Morteza Karimzadeh, Hanye Xu, Abish Malik, Shehzad Afzal, Guizhen Wang, Niklas Elmqvist, David S. Ebert:
Route Packing: Geospatially-Accurate Visualization of Route Networks. CoRR abs/1909.10173 (2019) - [i7]Luke S. Snyder, Morteza Karimzadeh, Ray Chen, David S. Ebert:
City-level Geolocation of Tweets for Real-time Visual Analytics. CoRR abs/1910.02213 (2019) - [i6]Morteza Karimzadeh, Luke S. Snyder, David S. Ebert:
Geovisual Analytics and Interactive Machine Learning for Situational Awareness. CoRR abs/1910.05441 (2019) - 2018
- [j89]Seokyeon Kim, Seongmin Jeong, Insoo Woo, Yun Jang, Ross Maciejewski, David S. Ebert:
Data Flow Analysis and Visualization for Spatiotemporal Statistical Data without Trajectory Information. IEEE Trans. Vis. Comput. Graph. 24(3): 1287-1300 (2018) - [c119]Jiawei Zhang, Chittayong Surakitbanharn, Niklas Elmqvist, Ross Maciejewski, Zhenyu Cheryl Qian, David S. Ebert:
TopoText: Context-Preserving Text Data Exploration Across Multiple Spatial Scales. CHI 2018: 37 - [c118]David S. Ebert, Brian D. Fisher, Kelly P. Gaither:
Introduction to the Minitrack on Interactive Visual Analytics and Visualization for Decision Making: Making Sense of Big Data. HICSS 2018: 1-2 - [c117]Thomas Gorko, Calvin Yau, Abish Malik, Matt Harris, Jun Xiang Tee, Ross Maciejewski, Cheryl Z. Qian, Shehzad Afzal, Bryan Pijanowski, David S. Ebert:
A Multi-Scale Correlative Approach for Crowd-Sourced Multi-Variate Spatiotemporal Data. HICSS 2018: 1-10 - [c116]Ali Masjedi, Jieqiong Zhao, Addie M. Thompson, Kai-Wei Yang, John E. Flatt, Melba M. Crawford, David S. Ebert, Mitchell R. Tuinstra, Graeme L. Hammer, Scott C. Chapman:
Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation. IGARSS 2018: 7719-7722 - [i5]Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, David S. Ebert:
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models. CoRR abs/1808.00196 (2018) - 2017
- [j88]Jing Xia, Yumeng Hou, Yingjie Victor Chen, Zhenyu Cheryl Qian, David S. Ebert, Wei Chen:
Visualizing Rank Time Series of Wikipedia Top-Viewed Pages. IEEE Computer Graphics and Applications 37(2): 42-53 (2017) - [j87]Gunther H. Weber, Sheelagh Carpendale, David S. Ebert, Brian D. Fisher, Hans Hagen, Ben Shneiderman, Anders Ynnerman:
Apply or Die: On the Role and Assessment of Application Papers in Visualization. IEEE Computer Graphics and Applications 37(3): 96-104 (2017) - [j86]David S. Ebert:
In Memoriam: Martin William Ribarsky. IEEE Computer Graphics and Applications 37(4): 6-7 (2017) - [j85]David S. Ebert:
The 2016 Visualization Technical Achievement Award. IEEE Trans. Vis. Comput. Graph. 23(1): xxv (2017) - [c115]David S. Ebert:
Keynote speaker: Changing the world with visual analytics. PacificVis 2017: xiii - [c114]Jiawei Zhang, Abish Malik, Benjamin Ahlbrand, Niklas Elmqvist, Ross Maciejewski, David S. Ebert:
TopoGroups: Context-Preserving Visual Illustration of Multi-Scale Spatial Aggregates. CHI 2017: 2940-2951 - [c113]Guizhen Wang, Abish Malik, Chittayong Surakitbanharn, Jose Florencio de Queiroz Neto, Shehzad Afzal, Siqiao Chen, David Wiszowaty, David S. Ebert:
A client-based visual analytics framework for large spatiotemporal data under architectural constraints. DSIA 2017: 1-5 - [c112]David S. Ebert, Brian D. Fisher, Kelly P. Gaither:
Introduction to Interactive Visual Decision Analytics Minitrack. HICSS 2017: 1 - [c111]Louis Ngamassi, Abish Malik, Jiawei Zhang, David S. Ebert:
Social Media Visual Analytic Toolkits for Disaster Management: A Review of the Literature. ISCRAM 2017 - 2016
- [j84]Jiawei Zhang, Benjamin Ahlbrand, Abish Malik, Junghoon Chae, Zhiyu Min, Sungahn Ko, David S. Ebert:
A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation. Comput. Graph. Forum 35(3): 441-450 (2016) - [j83]Sungahn Ko, Isaac Cho, Shehzad Afzal, Calvin Yau, Junghoon Chae, Abish Malik, Kaethe Beck, Yun Jang, William Ribarsky, David S. Ebert:
A Survey on Visual Analysis Approaches for Financial Data. Comput. Graph. Forum 35(3): 599-617 (2016) - [c110]Sriram Karthik Badam, Jieqiong Zhao, Shivalik Sen, Niklas Elmqvist, David S. Ebert:
TimeFork: Interactive Prediction of Time Series. CHI 2016: 5409-5420 - [c109]David S. Ebert, Brian D. Fisher, Kelly P. Gaither:
Introduction to the Minitrack on Interactive Visual Decision Analytics. HICSS 2016: 1426 - [c108]Jing Xia, Wei Chen, Yumeng Hou, Wanqi Hu, Xinxin Huang, David S. Ebert:
DimScanner: A relation-based visual exploration approach towards data dimension inspection. VAST 2016: 81-90 - [c107]David S. Ebert:
The 2016 Visualization Technical Achievement Award. VAST 2016: xi - 2015
- [j82]Victor Y. Chen, Ahmad M. Razip, Sungahn Ko, Cheryl Z. Qian, David S. Ebert:
Multi-aspect visual analytics on large-scale high-dimensional cyber security data. Inf. Vis. 14(1): 62-75 (2015) - [c106]David S. Ebert, Thomas Ertl, Kelly P. Gaither:
Introduction to Interactive Decision Analytics Minitrack. HICSS 2015: 1117 - [c105]William Hatton, Jieqiong Zhao, Mahesh Babu Gorantla, Junghoon Chae, Benjamin Ahlbrand, Hanye Xu, Siqaio Chen, Guizhen Wang, Jiawei Zhang, Abish Malik, Sungahn Ko, David S. Ebert:
Visual analytics for detecting communication patterns. VAST 2015: 137-138 - [c104]Junghoon Chae, Guizhen Wang, Benjamin Ahlbrand, Mahesh Babu Gorantla, Jiawei Zhang, Siqaio Chen, Hanye Xu, Jieqiong Zhao, William Hatton, Abish Malik, Sungahn Ko, David S. Ebert:
Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge. VAST 2015: 149-150 - [c103]Jieqiong Zhao, Guizhen Wang, Junghoon Chae, Hanye Xu, Siqaio Chen, William Hatton, Sherry Towers, Mahesh Babu Gorantla, Benjamin Ahlbrand, Jiawei Zhang, Abish Malik, Sungahn Ko, David S. Ebert:
ParkAnalyzer: Characterizing the movement patterns of visitors VAST 2015 Mini-Challenge 1. VAST 2015: 179-180 - [c102]Junghoon Chae, Yuchen Cui, Yun Jang, Guizhen Wang, Abish Malik, David S. Ebert:
Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media. EuroVA@EuroVis 2015: 43-47 - 2014
- [j81]Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert:
Public behavior response analysis in disaster events utilizing visual analytics of microblog data. Comput. Graph. 38: 51-60 (2014) - [j80]Abish Malik, Ross Maciejewski, Yun Jang, Silvia Oliveros Torres, Yang Yang, Ben Maule, Matthew White, David S. Ebert:
A visual analytics process for maritime response, resource allocation and risk assessment. Inf. Vis. 13(2): 93-110 (2014) - [j79]Remco Chang, David S. Ebert, Daniel A. Keim:
Introduction to the Special Issue on Interactive Computational Visual Analytics. ACM Trans. Interact. Intell. Syst. 4(1): 3:1-3:3 (2014) - [j78]Sungahn Ko, Jieqiong Zhao, Jing Xia, Shehzad Afzal, Xiaoyu Wang, Greg Abram, Niklas Elmqvist, Len Kne, David Van Riper, Kelly P. Gaither, Shaun Kennedy, William J. Tolone, William Ribarsky, David S. Ebert:
VASA: Interactive Computational Steering of Large Asynchronous Simulation Pipelines for Societal Infrastructure. IEEE Trans. Vis. Comput. Graph. 20(12): 1853-1862 (2014) - [j77]Abish Malik, Ross Maciejewski, Sherry Towers, Sean McCullough, David S. Ebert:
Proactive Spatiotemporal Resource Allocation and Predictive Visual Analytics for Community Policing and Law Enforcement. IEEE Trans. Vis. Comput. Graph. 20(12): 1863-1872 (2014) - [j76]Simon J. Walton, Kai Berger, David S. Ebert, Min Chen:
Vehicle object retargeting from dynamic traffic videos for real-time visualisation. Vis. Comput. 30(5): 493-505 (2014) - [c101]Ahmad M. Razip, Abish Malik, Shehzad Afzal, Matthew Potrawski, Ross Maciejewski, Yun Jang, Niklas Elmqvist, David S. Ebert:
A Mobile Visual Analytics Approach for Law Enforcement Situation Awareness. PacificVis 2014: 169-176 - [c100]David S. Ebert, Thomas Ertl, Kelly P. Gaither:
Introduction to Visualization and Analytics for Decision Support, Operational Management, and Scientific Discovery Minitrack. HICSS 2014: 1353 - [c99]Kaethe Bect, Scott Beamon, Edward J. Delp, David S. Ebert:
Learning and Law Enforcement: How Community-Based Teaching Facilitates Improved Information Systems. HICSS 2014: 4966-4969 - [c98]Sungahn Ko, Shehzad Afzal, Simon J. Walton, Yang Yang, Junghoon Chae, Abish Malik, Yun Jang, Min Chen, David S. Ebert:
Analyzing high-dimensional multivaríate network links with integrated anomaly detection, highlighting and exploration. IEEE VAST 2014: 83-92 - [c97]Sriram Karthik Badam, Jieqiong Zhao, Niklas Elmqvist, David S. Ebert:
TimeFork: Mixed-initiative time-series prediction. IEEE VAST 2014: 223-224 - [c96]Chen Guo, Jing Xia, Jun Yu, Jieqiong Zhao, Jiawei Zhang, Qiaoying Wang, Zhenyu Cheryl Qian, Yingjie Victor Chen, Chen Wang, David S. Ebert:
AnnotatedTimeTree, Dodeca-Rings Map & SMART: A geo-temporal analysis of criminal events. IEEE VAST 2014: 303-304 - [c95]Jing Xia, Jieqiong Zhao, Isaac Sheeley, Joseph Christopher, Qiaoying Wang, Chen Guo, Jiawei Zhang, David S. Ebert, Yingjie Victor Chen, Zhenyu Cheryl Qian:
AnnotatedTimeTree: Visualization and annotation of news text and other heterogeneous document collections. IEEE VAST 2014: 337-338 - [c94]Chen Guo, Shang Xu, Jim Yu, Hanxing Zhang, Qian Wang, Jing Xia, Jiawei Zhang, Yingjie Victor Chen, Zhenyu Cheryl Qian, Chen Wang, David S. Ebert:
Dodeca-rings map: Interactively finding patterns and events in large geo-temporal data. IEEE VAST 2014: 353-354 - [c93]Jiawei Zhang, Shehzad Afzal, Dallas Breunig, Jing Xia, Jieqiong Zhao, Isaac Sheeley, Joseph Christopher, David S. Ebert, Chen Guo, Shang Xu, Jim Yu, Qiaoying Wang, Chen Wang, Zhenyu Cheryl Qian, Yingjie Victor Chen:
Real-time identification and monitoring of abnormal events based on microblog and emergency call data using SMART. IEEE VAST 2014: 393-394 - [c92]Silvia Oliveros Torres, Yang Yang, Yun Jang, Ben Maule, David S. Ebert:
Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process. EuroVA@EuroVis 2014 - [p4]David S. Ebert, Kelly P. Gaither, Yun Jang, Sonia Lasher-Trapp:
Cross-Scale, Multi-Scale, and Multi-Source Data Visualization and Analysis Issues and Opportunities. Scientific Visualization 2014: 353-360 - [e13]Min Chen, David S. Ebert, Chris North:
9th IEEE Conference on Visual Analytics Science and Technology, IEEE VAST 2014, Paris, France, October 25-31, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-6227-3 [contents] - 2013
- [j75]G. Scott Owen, Gitta Domik, David S. Ebert, Jörn Kohlhammer, Holly E. Rushmeier, Beatriz Sousa Santos, Daniel Weiskopf:
How Visualization Courses Have Changed over the Past 10 Years. IEEE Computer Graphics and Applications 33(4): 14-19 (2013) - [j74]Ross Maciejewski, Yun Jang, Insoo Woo, Heike Jänicke, Kelly P. Gaither, David S. Ebert:
Abstracting Attribute Space for Transfer Function Exploration and Design. IEEE Trans. Vis. Comput. Graph. 19(1): 94-107 (2013) - [j73]Ross Maciejewski, Avin Pattath, Sungahn Ko, Ryan Hafen, William S. Cleveland, David S. Ebert:
Automated Box-Cox Transformations for Improved Visual Encoding. IEEE Trans. Vis. Comput. Graph. 19(1): 130-140 (2013) - [j72]SungYe Kim, Ross Maciejewski, Abish Malik, Yun Jang, David S. Ebert, Tobias Isenberg:
Bristle Maps: A Multivariate Abstraction Technique for Geovisualization. IEEE Trans. Vis. Comput. Graph. 19(9): 1438-1454 (2013) - [c91]Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert:
Visual Analytics of Microblog Data for Public Behavior Analysis in Disaster Events. EuroVA@EuroVis 2013 - [c90]David S. Ebert, Brian D. Fisher, Paul B. Kantor, Carolyn R. Watters:
Introduction to Decision Support and Operational Management Analytics Minitrack. HICSS 2013: 1484 - [i4]David S. Ebert, Brian D. Fisher, Petra Isenberg:
Interaction with Information for Visual Reasoning (Dagstuhl Seminar 13352). Dagstuhl Reports 3(8): 151-167 (2013) - 2012
- [j71]Philip Livengood, Ross Maciejewski, Wei Chen, David S. Ebert:
OmicsVis: an interactive tool for visually analyzing metabolomics data. BMC Bioinform. 13(S-8): S6 (2012) - [j70]Niklas Elmqvist, David S. Ebert:
Leveraging Multidisciplinarity in a Visual Analytics Graduate Course. IEEE Computer Graphics and Applications 32(3): 84-87 (2012) - [j69]Sungahn Ko, Ross Maciejewski, Yun Jang, David S. Ebert:
MarketAnalyzer: An Interactive Visual Analytics System for Analyzing Competitive Advantage Using Point of Sale Data. Comput. Graph. Forum 31(3pt3): 1245-1254 (2012) - [j68]Yun Jang, David S. Ebert, Kelly P. Gaither:
Time-Varying Data Visualization Using Functional Representations. IEEE Trans. Vis. Comput. Graph. 18(3): 421-433 (2012) - [j67]Insoo Woo, Ross Maciejewski, Kelly P. Gaither, David S. Ebert:
Feature-Driven Data Exploration for Volumetric Rendering. IEEE Trans. Vis. Comput. Graph. 18(10): 1731-1743 (2012) - [j66]Bum Chul Kwon, Waqas Javed, Sohaib Ghani, Niklas Elmqvist, Ji Soo Yi, David S. Ebert:
Evaluating the Role of Time in Investigative Analysis of Document Collections. IEEE Trans. Vis. Comput. Graph. 18(11): 1992-2004 (2012) - [j65]Shehzad Afzal, Ross Maciejewski, Yun Jang, Niklas Elmqvist, David S. Ebert:
Spatial Text Visualization Using Automatic Typographic Maps. IEEE Trans. Vis. Comput. Graph. 18(12): 2556-2564 (2012) - [c89]Gitta Domik, David S. Ebert, Jörn Kohlhammer, Holly E. Rushmeier, Beatriz Sousa Santos, Daniel Weiskopf:
Visualization Curriculum Panel - or The Changes We Have Made to Our Visualization Courses Over the Last 10 Years. Eurographics (Education Papers) 2012: 1-2 - [c88]Silvia Oliveros Torres, Heather A. Eicher-Miller, Carol J. Boushey, David S. Ebert, Ross Maciejewski:
Applied Visual Analytics for Exploring the National Health and Nutrition Examination Survey. HICSS 2012: 1855-1863 - [c87]Abish Malik, Ross Maciejewski, Niklas Elmqvist, Yun Jang, David S. Ebert, Whitney Huang:
A correlative analysis process in a visual analytics environment. IEEE VAST 2012: 33-42 - [c86]Junghoon Chae, Dennis Thom, Harald Bosch, Yun Jang, Ross Maciejewski, David S. Ebert, Thomas Ertl:
Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition. IEEE VAST 2012: 143-152 - [c85]Yingjie Victor Chen, Ahmad M. Razip, Sungahn Ko, Zhenyu Cheryl Qian, David S. Ebert:
SemanticPrism: A multi-aspect view of large high-dimensional data: VAST 2012 Mini Challenge 1 award: Outstanding integrated analysis and visualization. IEEE VAST 2012: 259-260 - [c84]Sohaib Ghani, Niklas Elmqvist, David S. Ebert:
MultiNode-Explorer: A Visual Analytics Framework for Generating Web-based Multimodal Graph Visualizations. EuroVA@EuroVis 2012 - 2011
- [j64]Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Stephen G. Larew, Michael A. Mitchell, William S. Cleveland, David S. Ebert:
Forecasting Hotspots - A Predictive Analytics Approach. IEEE Trans. Vis. Comput. Graph. 17(4): 440-453 (2011) - [j63]Ross Maciejewski, Philip Livengood, Stephen Rudolph, Timothy F. Collins, David S. Ebert, Robert T. Brigantic, Courtney D. Corley, George A. Muller, Stephen W. Sanders:
A pandemic influenza modeling and visualization tool. J. Vis. Lang. Comput. 22(4): 268-278 (2011) - [c83]Philip Livengood, Ross Maciejewski, Wei Chen, David S. Ebert:
A visual analysis system for metabolomics data. BioVis 2011: 71-78 - [c82]Junghoon Chae, Insoo Woo, SungYe Kim, Ross Maciejewski, Fengqing Zhu, Edward J. Delp, Carol J. Boushey, David S. Ebert:
Volume estimation using food specific shape templates in mobile image-based dietary assessment. Computational Imaging 2011: 78730K - [c81]