LargeNetVis: Visual Exploration of Large Temporal Networks
Mining Pareto-Optimal Counterfactual Antecedents with a Branch-And-Bound Model-Agnostic Algorithm
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and their Influence in Image Classification
Enforcing Fairness using Ensemble of Diverse Pareto-Optimal Models
MoReVis: A Visual Summary for Spatiotemporal Moving Regions
Recent Publications (VIEW ALL PAPERS)
NAACL Findings 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
Lucas Emanuel Resck, Marcos Medeiros Raimundo, Jorge Poco
Findings of the Association for Computational Linguistics: NAACL, 2024
PDF | Code
JSTARS 2024
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
PDF
AISTATS 2023
Distill n’ Explain: Explaining Graph Neural Networks Using Simple Surrogates
Tamara Pereira, Erik Nascimento, Lucas Emanuel Resck, Diego Mesquita, Amauri Souza
International Conference on Artificial Intelligence and Statistics, 206(1), pp. 6199-6214, 2023
PDF | Poster | Code | Video
TVCG 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
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 Emanuel 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
VISAPP 2023 - Lisboa, Portugal
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
PDF
Data Min. Knowl. Disc. 2023
Enforcing Fairness using Ensemble of Diverse Pareto-Optimal Models
Vitória Guardieiro, Marcos Medeiros Raimundo, Jorge Poco
Data Mining and Knowledge Discovery, 2023
PDF | Journal
Data Min. Knowl. Disc. 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
EDM 2022
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
Appl. Sci. 2022
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
PDF | Video
SAC 2022
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
PDF
News
19 Apr 2024
New paper accepted Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales.
21 Feb 2024
New paper published Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning.
30 Jan 2024
Congrats Lucas Resck for the poster presented at the Tropical Probabilistic AI School 2024.
21 Sep 2023
⭐ The paper Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Cab Trips has received the IEEE VIS Test of Time Award and will be awarded in Melbourne.
11 Apr 2023
New paper published Distill n’ Explain: Explaining Graph Neural Networks Using Simple Surrogates.