2024
Integrating Large Language Models and Visual Analytics for Bias Detection
Mauro Diaz, Felipe Moreno-Vera, Juanpablo Heredia, Fabrício Dalvi Venturim, Jorge Poco
IEEE Visual Analytics Science & Technology (VAST) Challenge, 2024
PDF | Video
Tracking Overfishing: Visual Analytics of Suspicious Behaviors in Commercial Fishing Vessels
Juanpablo Heredia, Fabrício Dalvi Venturim, Mauro Diaz, Felipe Moreno-Vera, Jorge Poco
IEEE Visual Analytics Science & Technology (VAST) Challenge, 2024
PDF | Video
Empirical analysis of Binding Precedent efficiency in the Brazilian Supreme Court via Similar Case Retrieval (in-press)
Raphael Tinarrage, Henrique Ennes, Lucas Resck, Lucas T. Gomes, Jean Ponciano, Jorge Poco
arXiv, 2024
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Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
Lucas Resck, Marcos Medeiros Raimundo, Jorge Poco
Findings of the Association for Computational Linguistics: NAACL, pp. 4190-4216, 2024
PDF | Code
Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning
Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, Joao Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Claudio T. Silva
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, pp. 5668-5679, 2024
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2023
MoReVis: A Visual Summary for Spatiotemporal Moving Regions
Giovani Valdrighi, Nivan Ferreira, Jorge Poco
IEEE Transactions on Visualization and Computer Graphics, 30(4), pp. 1927-1941, 2023
PDF | Code | Video
Distill n’ Explain: Explaining Graph Neural Networks Using Simple Surrogates
Tamara Pereira, Erik Nascimento, Lucas Resck, Diego Mesquita, Amauri Souza
International Conference on Artificial Intelligence and Statistics, 206(1), pp. 6199-6214, 2023
PDF | Poster | Code | Video
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and their Influence in Image Classification
Felipe Moreno-Vera, Edgar Medina, Jorge Poco
International Conference on Computer Vision Theory and Applications, 2023
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Enforcing Fairness using Ensemble of Diverse Pareto-Optimal Models
Vitória Guardieiro, Marcos Medeiros Raimundo, Jorge Poco
Data Mining and Knowledge Discovery, 2023
PDF | Journal
LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies
Claudio Douglas Linhares, Jean Ponciano, Diogenes S. Pedro, Luis Enrique Correia Rocha, Agma Traina, Jorge Poco
IEEE Transactions on Visualization and Computer Graphics, 29(1), pp. 203-213, 2023
PDF | Video | Appendix | Demo | Video Presentation
LegalVis: Exploring and Inferring Precedent Citations in Legal Documents
Lucas Resck, Jean Ponciano, Luis Gustavo Nonato, Jorge Poco
IEEE Transactions on Visualization and Computer Graphics, 29(6), pp. 3105-3120, 2023
PDF | Video | Appendix | Video Presentation
2022
Mining Pareto-Optimal Counterfactual Antecedents with a Branch-And-Bound Model-Agnostic Algorithm
Marcos Medeiros Raimundo, Luis Gustavo Nonato, Jorge Poco
Data Mining and Knowledge Discovery, 36(6), 2022
PDF | Journal
Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory's Invariance
Vitória Guardieiro, Marcos Medeiros Raimundo, Jorge Poco
International Conference on Educational Data Mining, pp. 583-587, 2022
PDF | Video | Poster
SDA-Vis: A Visualization System for Student Dropout Analysis Based on Counterfactual Exploration
Germain García-Zanabria, Daniel A. Gutierrez-Pachas, Guillermo Cámara-Chávez, Jorge Poco, Erick Gomez-Nieto
Applied Sciences, 12(12), 2022
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ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making
Claudio Douglas Linhares, Daniel M. Lima, Jean Ponciano, Mauro M. Olivatto, Marco A. Gutierrez, Jorge Poco, Caetano Traina Jr., Agma Traina
IEEE Transactions on Visualization and Computer Graphics, 29(10), pp. 4031-4046, 2022
PDF | Video | Appendix
Combining Clutter Reduction Methods for Temporal Network Visualization
Jean Ponciano, Claudio Douglas Linhares, Luis Enrique Correia Rocha, Elaine Ribeiro Faria, Bruno A. N. Travençolo
ACM/SIGAPP Symposium On Applied Computing, pp. 1748-1755, 2022
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How Do Curricular Design Changes Impact Computer Science Programs?: A Case Study at San Pablo Catholic University in Peru
Daniel A. Gutierrez-Pachas, Germain García-Zanabria, Alex J. Cuadros-Vargas, Guillermo Cámara-Chávez, Jorge Poco, Erick Gomez-Nieto
Education Sciences, 12(4), 2022
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Exploring Scientific Literature by Textual and Image Content using DRIFT
Ximena Pocco, Tiago Silva, Jorge Poco, Luis Gustavo Nonato, Erick Gomez-Nieto
Computers & Graphics, pp. 136-143, 2022
PDF | Video
17K-Graffiti: Spatial and Crime Data Assessments in São Paulo City
Bahram Lavi, Eric K. Tokuda, Felipe Moreno-Vera, Luis Gustavo Nonato, Claudio T. Silva, Jorge Poco
International Conference on Computer Vision Theory and Applications, pp. 968-975, 2022
PDF | Code | Data
JamVis: Exploration and Visualization of Traffic Jams
Elio Rodriguez, Nivan Ferreira, Jorge Poco
The European Physical Journal Special Topics (EPJ ST), 2022
PDF | Video
ChartText Linking Text with Charts in Documents
Joao Pinheiro, Jorge Poco
arXiv, 2022
PDF | Video | Data
2021
Quantifying Urban Safety Perception on Street View Images
Felipe Moreno-Vera, Bahram Lavi, Jorge Poco
International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2021
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Trajectory Anomaly Detection based on Similarity Analysis
GF Quispe-Torres, Harley Vera-Olivera, Lauro Enciso-Rojas, Germain García-Zanabria
Conferencia Latinoamericana de Informática, 1(1), pp. 1-10, 2021
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DRIFT: A Visual Analytic Tool for Scientific Literature Exploration Based on Textual and Image Content
Ximena Pocco, Jorge Poco, Matheus Viana, Rogerio de Paula, Luis Gustavo Nonato, Erick Gomez-Nieto
Graphics, Patterns and Images (SIBGRAPI) , 2021
PDF | Honorable Mention in Visualization | Video 1 | Video 2
Urban Perception: Can we Understand Why a Street is Safe?
Felipe Moreno-Vera, Bahram Lavi, Jorge Poco
Mexican International Conference on Artificial Intelligence (MICAI) , 2021
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CriPAV: Street-Level Crime Patterns Analysis and Visualization
Germain García-Zanabria, Marcos Medeiros Raimundo, Jorge Poco, Marcelo Batista Nery, Claudio T. Silva, Sergio Adorno, Luis Gustavo Nonato
IEEE Transactions on Visualization and Computer Graphics, 28(12), pp. 4000-4015, 2021
PDF | Video
A Comparative Study of WHO and WHEN Prediction Approaches for Early Identification of University Students at Dropout Risk
Daniel A. Gutierrez-Pachas, Germain García-Zanabria, Alex J. Cuadros-Vargas, Guillermo Cámara-Chávez, Jorge Poco, Erick Gomez-Nieto
Conferencia Latinoamericana de Informática, 2021
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An Online and Nonuniform Timeslicing Method for Network Visualisation
Jean Ponciano, Claudio Douglas Linhares, Elaine Ribeiro Faria, Bruno A. N. Travençolo
Computers & Graphics, 97(1), pp. 170-182, 2021
PDF | Data
CrimAnalyzer: Understanding Crime Patterns in São Paulo
Germain García-Zanabria, Jaqueline Silveira, Jorge Poco, Afonso Paiva, Marcelo Batista Nery, Claudio T. Silva, Sergio Adorno, Luis Gustavo Nonato
IEEE Transactions on Visualization and Computer Graphics, 27(4), pp. 2313-2328, 2021
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2020
Mirante: A Visualization Tool for Analyzing Urban Crimes
Germain García-Zanabria, Erick Gomez-Nieto, Jaqueline Silveira, Jorge Poco, Marcelo Batista Nery, Sergio Adorno, Luis Gustavo Nonato
Graphics, Patterns and Images (SIBGRAPI) , 2020
PDF | Video | Best Paper Award in Visualization
The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks
A. Dasgupta, Jorge Poco, Bernice Rogowitz, Kyungsik Han, E. Bertini, Claudio T. Silva
IEEE Transactions on Visualization and Computer Graphics, 26(3), pp. 1577-1591, 2020
PDF | Suplement | Video
2018
Extracting and Retargeting Color Mappings from Bitmap Images of Visualizations
Jorge Poco, A. Mayhua, Jeffrey Heer
IEEE Transactions on Visualization and Computer Graphics, 24(1), pp. 637-646, 2018
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Extracting Visual Encodings from Map Chart Images with Color-encoded Scalar Values
A. Mayhua, Erick Gomez-Nieto, Jeffrey Heer, Jorge Poco
Graphics, Patterns and Images (SIBGRAPI) , 2018
PDF | Video 1 | Video 2
2017
Reverse-Engineering Visualizations: Recovering Visual Encodings from Chart Images
Jorge Poco, Jeffrey Heer
Computer Graphics Forum, 36(3), pp. 353-363, 2017
PDF | Code | Appendix
2016
iStar (i*): An Interactive Star Coordinates Approach for High-Dimensional Data Exploration
Germain García-Zanabria, Luis Gustavo Nonato, Erick Gomez-Nieto
Graphics, Patterns and Images (SIBGRAPI) , 60(1), pp. 107-118, 2016
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Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study
A. Dasgupta, Jorge Poco, E. Bertini, Claudio T. Silva
Computing in Science & Engineering, 18(1), pp. 92-100, 2016
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2015
Using Maximum Topology Matching to Explore Differences in Species Distribution Models
Jorge Poco, H. Doraiswamy, Marian Talbert, Jeffrey Morisette, Claudio T. Silva
IEEE Scientific Visualization Conference, 2015
PDF | Presentation | Video
Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison
A. Dasgupta, Jorge Poco, Y. Wei, R. Cook, E. Bertini, Claudio T. Silva
IEEE Transactions on Visualization and Computer Graphics, 21(9), pp. 996-1014, 2015
PDF | Website
Exploring Traffic Dynamics in Urban Environments Using Vector-Valued Functions
Jorge Poco, H. Doraiswamy, Huy T. Vo, João L. D. Comba, Juliana Freire, Claudio T. Silva
Computer Graphics Forum, 34(3), pp. 161-170, 2015
PDF | Website | Presentation | Video | Appendix
2014
Riding from Urban Data to Insight Using New York City Taxis
Juliana Freire, Claudio T. Silva, Huy T. Vo, H. Doraiswamy, Nivan Ferreira, Jorge Poco
IEEE Data Engineering Bulletin, 37(4), pp. 43-55, 2014
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Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling
Jorge Poco, A. Dasgupta, Y. Wei, W. Hargrove, C. Schwalm, Deborah N. Huntzinger, R. Cook, E. Bertini, Claudio T. Silva
IEEE Transactions on Visualization and Computer Graphics, 20(12), pp. 1923-1932, 2014
PDF | Website | Presentation | Video
SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data
Jorge Poco, A. Dasgupta, Y. Wei, W. Hargrove, C. Schwalm, R. Cook, E. Bertini, Claudio T. Silva
Computer Graphics Forum, 33(3), pp. 341-350, 2014
PDF | Presentation | Video
2013
Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Cab Trips
Nivan Ferreira, Jorge Poco, Huy T. Vo, Juliana Freire, Claudio T. Silva
IEEE Transactions on Visualization and Computer Graphics, 19(12), pp. 2149-2158, 2013
PDF | Website | Presentation | Video 1 | Video 2
Ultrascale Visualization of Climate Data
D. N. Williams, T. Bremer, C. Doutriaux, J. Patchett, S. Williams, G. Shipman, R. Miller, D. R. Pugmire, B. Smith, C. Steed, E. Wes Bethel, H. Childs, H. Krishnan, P. Prabhat, M. Wehner, Claudio T. Silva, Emanuele Santos, D. Koop, T. Ellqvist, Jorge Poco, B. Geveci, A. Chaudhary, A. Bauer, A. Pletzer, D. Kindig, G. L. Potter, T. P. Maxwell
Computer, 46(9), pp. 68-76, 2013
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UV-CDAT: Analyzing climate datasets from a user’s perspective
Emanuele Santos, Jorge Poco, Yaxing Wei, Shishi Liu, Bob Cook, D. N. Williams, Claudio T. Silva
Computing in Science & Engineering, 15(1), pp. 94-103, 2013
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2012
Employing 2D projections for fast visual exploration of large fiber tracking data
Jorge Poco, Danilo. M. Eler, Fernando V. Paulovich, Rosane Minghim
Computer Graphics Forum, 31(3), pp. 1075-1084, 2012
PDF | Presentation
2011
Piecewise Laplacian-based Projection for Interactive Large Data Exploration and Organization
Fernando V. Paulovich, Danilo. M. Eler, Jorge Poco, C.P. Botha, Rosane Minghim, Luis Gustavo Nonato
Computer Graphics Forum, 30(3), pp. 1091-1100, 2011
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A Framework for Exploring Multidimensional Data with 3D Projections
Jorge Poco, R. Etemadpour, Fernando V. Paulovich, T.V. Long, P. Rosenthal, M.C.F. Oliveira, L. Linsen
Computer Graphics Forum, 30(3), pp. 1111-1120, 2011
PDF | Presentation