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)
TVCG 2023
MoReVis: A Visual Summary for Spatiotemporal Moving Regions
Giovani Valdrighi, Nivan Ferreira, Jorge Poco
IEEE Transactions on Visualization and Computer Graphics, 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
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
Educ. Sci. 2022
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
PDF
TVCG 2022
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, 2022
PDF | Video | Appendix
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, 2022
PDF | Video | Appendix | Video Presentation
News
01 Mar 2023
New paper published MoReVis: A Visual Summary for Spatiotemporal Moving Regions.
21 Feb 2023
New paper accepted WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and their Influence in Image Classification.
14 Feb 2023
New paper published Enforcing Fairness using Ensemble of Diverse Pareto-Optimal Models.
16 Dec 2022
New paper published Mining Pareto-Optimal Counterfactual Antecedents with a Branch-And-Bound Model-Agnostic Algorithm.
16 Oct 2022
New paper accepted LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies.