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)
NATSUSTAIN 2025
Assessing timber trade networks and supply chains in Brazil
Luis Gustavo Nonato, Victor Russo, Bernardo Costa, Felipe Moreno-Vera, Guilherme Toledo, Osni Brito de Jesus, Robson Vieira, Marco Lentini, Jorge Poco
Nature Sustainability, 2025
PDF
WI-IAT 2024 - Bangkok, Tailandia
What Makes a Place Feel Safe? Analyzing Street View Images to Identify Relevant Visual Elements
Felipe Moreno-Vera, Bruno Brandoli, Jorge Poco
International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2024
PDF
VAST Challenge 2024 - Tampa, EEUU
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
arXiv 2024
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
PDF
NAACL Findings 2024
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
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 Resck, Diego Mesquita, Amauri Souza
International Conference on Artificial Intelligence and Statistics, 206(1), pp. 6199-6214, 2023
PDF | Poster | Code | Video
News
06 Jan 2025
New paper published Assessing timber trade networks and supply chains in Brazil.
12 Dec 2024
New paper presented What Makes a Place Feel Safe? Analyzing Street View Images to Identify Relevant Visual Elements.
15 Jul 2024
Professor Jorge discusses AI in the magazine Cojuntura Economica: blog and full article.
16 Jun 2024
Congrats Lucas Resck for the poster presented at the latinX in NLP at NAACL 2024 workshop.
19 Apr 2024
New paper accepted Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales.