A User Study of a Prototype of a Spatial Augmented Reality System for Education and Interaction with Geographic Data. - Gabriel de A. Pereira; João Bravo; Jorge Centeno (Big Data Cogn. Comput., 2018)

ARMS: Automated rules management system for fraud detection. - David Aparício; Ricardo Barata; João Bravo; João Tiago Ascensão; Pedro Bizarro (CoRR, 2020)

Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions. - José Pombal; André Ferreira Cruz; João Bravo; Pedro Saleiro; Mário A. T. Figueiredo; Pedro Bizarro (CoRR, 2022)

FairGBM: Gradient Boosting with Fairness Constraints. - André Ferreira Cruz; Catarina G. Belém; João Bravo; Pedro Saleiro; Pedro Bizarro (ICLR, 2023)

Adversarial training for tabular data with attack propagation. - Tiago Leon Melo; João Bravo; Marco O. P. Sampaio; Paolo Romano 002; Hugo Ferreira 006; João Tiago Ascensão; Pedro Bizarro (CoRR, 2023)

RIFF: Inducing Rules for Fraud Detection from Decision Trees. - Lucas Martins; João Bravo; Ana Sofia Gomes; Carlos Soares; Pedro Bizarro (RuleML+RR, 2024)

RIFF: Inducing Rules for Fraud Detection from Decision Trees. - João Lucas Martins; João Bravo; Ana Sofia Gomes; Carlos Soares; Pedro Bizarro (CoRR, 2024)

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures. - João Bravo; Jacopo Bono; Pedro Saleiro; Hugo M. Ferreira; Pedro Bizarro (CoRR, 2024)

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures. - João Bravo; Jacopo Bono; Hugo Ferreira 006; Pedro Saleiro; Pedro Bizarro (Trans. Mach. Learn. Res., 2024)

High Probability Risk Control Under Covariate Shift. - Duarte C. Almeida; João Bravo; Jacopo Bono; Pedro Bizarro; Mário A. T. Figueiredo (COPA, 2025)

NRGBoost: Energy-Based Generative Boosted Trees. - João Bravo (ICLR, 2025)