2023
The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing, and Coloring in Bar Charts.
Racquel Fygenson, Steven Franconeri, Enrico Bertini.
IEEE Transactions on Visualization and Computer Graphics (Proc. of IEEE VIS), 2023.
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets.
Jun Yuan, Brian Barr, Kyle Overton, Enrico Bertini.
IEEE Transactions on Visualization and Computer Graphics, 2022.
Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations.
Lace Padilla, Racquel Fygenson, Spencer C Castro, Enrico Bertini.
IEEE Transactions on Visualization and Computer Graphics (Proc. of IEEE VIS), 2022.
2022
Impact of COVID-19 Forecast Visualizations on Pandemic Risk Perceptions.
Lace Padilla, Helia Hosseinpour, Racquel Fygenson, Jennifer Howell, Rumi Chunara, Enrico Bertini.
Scientific Reports volume 12, Article number: 2014 (2022).
2021
A survey of domain knowledge elicitation in applied machine learning.
Daniel Kerrigan, Jessica Hullman, and Enrico Bertini.
Multimodal Technologies and Interaction 5.12 (2021): 73.
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation.
Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini.
Proc. of IEEE Visualization Conference (VIS) [Short Paper], 2021.
An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets.
Jun Yuan, Oded Nov, Enrico Bertini.
Proc. of IEEE Visualization Conference (VIS) [Short Paper], 2021.
mTSeer: Interactive Visual Exploration of Models on Multivariate Time-series Forecast.
Xu, K., J. Yuan, Y. Wang, C. Silva, and E. Bertini.
Proc. of ACM Conference on Human Factors in ComputingSystems (CHI), 2021.
[Video]
Mapping the Landscape of COVID-19 Crisis Visualizations.
Yixuan Zhang, Yifan Sun, Lace Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker.
Proc. of the ACM Conference on Human Factors in Computing Systems (CHI), 2021.
[Video]
2020
Why Shouldn’t All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations.
Enrico Bertini, Michael Correll, Steven Franconeri. Proc. of IEEE Conference on Visualization (VIS), 2020.
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs.
Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini.
Proc. of the ACM Conference on Computer Supported Cooperative Work (CSCW), 2020.
[Project Page]
PipelineProfiler: A Visual AnalyticsTool for the Exploration of AutoML Pipelines.
Ono, J. P., S. Castelo, R. Lopez, E. Bertini, J. Freire, and C. Silva.
IEEE Transactions on Visualization and Computer Graphics 2020.
[Project Page] [Video]
Truncating the Y-Axis: Threat or Menace?
Michael Correll, Enrico Bertini, Steven Franconeri.
Proc. of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2020.
*** Best Paper Award: Honorable Mention ***
ViCE: Visual Counterfactual Explanations for Machine Learning Models.
Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini.
Proc. of ACM Conference on Intelligent User Interfaces (IUI) 2020.
The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks.
Aritra Dasgupta, Jorge Poco, Bernice Rogowitz, Kyungsik Han, Enrico Bertini, Claudio Silva.
IEEE Transactions on Visualization and Computer Graphics 2020.
2018
The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections.
Cristian Felix, Aritra Dasgupta, Enrico Bertini.
Proc. of ACM User Interface Software and Technology Symposium (UIST), 2018.
[Project Page]
RuleMatrix: Visualizing and Understanding Classifiers with Rules.
Yao Ming, Huamin Qu, Enrico Bertini.
IEEE Transactions on Visualization and Computer Graphics (Proc. of VAST), 2018.
[Project Page]
Lessons Learned Developing a Visual Analytics Solution for Investigative Analysis of Scamming Activities.
Jay Koven, Cristian Felix, Hossein Siadati, Markus Jakobsson and Enrico Bertini.
IEEE Transactions on Visualization and Computer Graphics (Proc. of VAST), 2018.
[Project Page]
A User Study on the Effect of Aggregating Explanations for Interpreting Machine Learning Models.
Josua Krause, Adam Perer, Enrico Bertini.
KDD Workshop on Interactive Data Exploration and Analytics (IDEA), 2018.
2017
Taking Word Clouds Apart: An Empirical Investigation of the Design Space for Keyword Summaries.
Cristian Felix, Steven Franconeri, Enrico Bertini.
IEEE Transactions on Visualization and Computer Graphics (Proc. of InfoVis), 2017.
[Project Page]
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations.
Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini.
Proc. of IEEE Conference and Visual Analytics Science and Technology (VAST), 2017.
[Project Page]
Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations.
Paolo Tamagnini, Josua Krause, Aritra Dasgupta, Enrico Bertini.
Proc. of SIGMOD Workshop on Human-In-the-Loop Data Analytics (HILDA), 2017.
Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human Rights Data?
Jeremy Boy, Margaret Satterthwaite, Anshul Vikram Pandey, Oded Nov, John Emerson, Enrico Bertini
Proc. of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2017.
*** Best Paper Award: Honorable Mention ***
[Blog Post]
2016
SeekAView: An Intelligent Dimensionality Reduction Strategy for Navigating HD Data Spaces.
Josua Krause, Aritra Dasgupta, Jean-Daniel Fekete, Enrico Bertini.
IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2016.
[Project Page]
TextTile: An Interactive Visualization Tool for Seamless Exploratory Analysis of Structured Data and Unstructured Text.
Cristian Felix, Anshul Vikram Pandey, and Enrico Bertini.
IEEE Transactions on Visualization and Computer Graphics (Proc. of VAST), 2016.
[Project Page]
Using Visual Analytics to Interpret Predictive Machine Learning Models.
Josua Krause, Adam Perer, Enrico Bertini.
ICML Workshop on Human Interpretability in Machine Learning (WHI), 2016.
Data Visualization for Human Rights Advocacy
Katharina Rall, Margaret L. Satterthwaite, Anshul Vikram Pandey, John Emerson, Jeremy Boy, Oded Nov, Enrico Bertini.
Journal of Human Rights Practice, 8, 2016, 171–197
Towards Understanding Human Similarity Perception in the Analysis of Large Sets of Scatter Plots.
Anshul Vikram Pandey, Josua Krause, Cristian Felix, Jeremy Boy, Enrico Bertini.
Proc. of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2016.
*** Best Paper Award: Honorable Mention ***
[Project Page]
RevEx: Visual Investigative Journalism with A Million Healthcare Reviews.
Cristian Felix Da Silva, Anshul Vikram Pandey, and Enrico Bertini.
In Proc. of Computation+Journalism Symposium (CJ), 2015.
[Project Page]
2015
Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison.
A. Dasgupta, J. Poco, Y. Wei, R. Cook, E. Bertini, C. Silva.
IEEE Transactions on Visualization and Computer Graphics, 2015.
How Deceptive are Deceptive Visualizations?: An Empirical Analysis of Common Distortion Techniques.
A. V. Pandey, K. Rall, M. Satterthwaite, O. Nov, E. Bertini.
Proc. of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2015.
2014
The Influence of Contour on Similarity Perception of Star Glyphs.
J. Fuchs, P. Isenberg, A. Bezerianos, F. Fischer, and E. Bertini.
IEEE Transactions on Visualization and Computer Graphics (Proc. of InfoVis), vol. 20, no. 12, pp. 2251 - 2260, 2014.
SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data.
J. Poco, A. Dasgupta, Y. Wei, W. Hargrove, C. Schwalm, R. Cook, E. Bertini, and C. Silva.
Eurographics/IEEE Computer Graphics Forum (Proc. of EuroVis), vol. 33, no. 3, pp. 341 - 350, 2014.
[Video]
The Persuasive Power of Data Visualization.
A. V. Pandey, O. Nov, A. Manivannan, M. Satterthwaite, and E. Bertini.
IEEE Transactions on Visualization and Computer Graphics (Proc. of InfoVis), vol. 20, no. 12, pp. 2211 - 2220, 2014.
A Principled Way of Assessing Visualization Literacy.
J. Boy, R. Rensink, E. Bertini, and J. Fekete.
IEEE Transactions on Visualization and Computer Graphics (Proc. of InfoVis), vol. 20, no. 12, pp. 1963 - 1972, 2014.
INFUSE: Interactive Feature Selection for Predictive Modeling of High Dimensional Data.
J. Krause, A. Perer, and E. Bertini.
IEEE Transaction on Visualization and Computer Graphics (Proc. of VAST), vol. 20, no. 12, pp. 1614 - 1623, 2014.
Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling.
J. Poco, A. Dasgupta, Y. Wei, W. Hargrove, C. R. Schwalm, D. N. Huntzinger, R. Cook, E. Bertini, and C. A. U. T. Silva.
IEEE Transaction on Visualization and Computer Graphics (Proc. of VAST), vol. 20, no. 12, pp. 1923 - 1932, 2014.
2013
Evaluation of Alternative Glyph Designs for Time Series Data in a Small Multiple Setting.
J. Fuchs, F. Fischer, F. Mansmann, E. Bertini, and P. Isenberg.
Proc. of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2013.
*** Best Paper Award: Honorable Mention ***
2012
StreamSqueeze: A Dynamic Stream Visualization for Monitoring of Event Data.
F. Mansmann, M. Krstajic, F. Fischer, and E. Bertini.
Proc. of Conference on Visualization and Data Analysis (VDA), 2012.
HiTSEE: A Visualization Tool for Hit Selection and Analysis in High-Throughput Screening Experiments for KNIME Platform.
E. Bertini, H. Strobelt, J. Braun, O. Deussen, U. Groth, T. U. Mayer, and D. Merhof.
BMC Bioinformatics, vol. 13, no. 8, p. S4, 2012.
[Video]
Empirical Studies in Information Visualization: Seven Scenarios.
H. Lam, E. Bertini, P. Isenberg, C. Plaisant, and S. Carpendale.
IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 9, pp. 1520–1536, 2012.
A Qualitative Study on the Exploration of Temporal Changes in Flow Maps with Animation and Small-Multiples.
I. Boyandin, E. Bertini, and D. Lalanne.
Eurographics/IEEE Computer Graphics Forum (Proc. of EuroVis), vol. 31, no. 3, pp. 1005–1014, 2012.
Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data.
A. Tatu, F. Maas, I. Farber, E. Bertini, T. Schreck, T. Seidl, and D. Keim.
Proc. of IEEE Conference on Visual Analytics Science and Technology (VAST), 2012.
2011
CloudLines: Compact Display of Event Episodes in Multiple Time-Series.
M. Krstajić, E. Bertini, and D. Keim.
IEEE Transaction on Visualization and Computer Graphics (Proc. of InfoVis), vol. 17, no. 12, pp. 2432–2439, 2011.
HiTSEE: A Visualization Tool for Hit Selection and Analysis in High-Throughput Screening Experiments.
E. Bertini, H. Strobelt, J. Braun, O. Deussen, U. Groth, T. U. Mayer, and D. Merhof.
Proc. of IEEE Symposium on Biological Data Visualization (BioVis), 2011, vol.
*** Best Paper Award: Honorable Mention ***
Flowstrates: An Approach for Visual Exploration of Temporal Origin-Destination Data.
I. Boyandin, E. Bertini, P. Bak, and D. Lalanne.
Eurographics/IEEE Computer Graphics Forum (Proc. of EuroVis), vol. 30, no. 3, pp. 971–980, 2011.
Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization.
E. Bertini, A. Tatu, and D. Keim.
IEEE Transaction on Visualization and Computer Graphics (Proc. of InfoVis), vol. 17, no. 12, pp. 2203–2212, 2011.