Automatic Model Monitoring for Data Streams. - Fábio Pinto; Marco O. P. Sampaio; Pedro Bizarro (CoRR, 2019)

Active learning for imbalanced data under cold start. - Ricardo Barata; Miguel Leite; Ricardo Pacheco; Marco O. P. Sampaio; João Tiago Ascensão; Pedro Bizarro (ICAIF, 2021)

Active learning for online training in imbalanced data streams under cold start. - Ricardo Barata; Miguel Leite; Ricardo Pacheco; Marco O. P. Sampaio; João Tiago Ascensão; Pedro Bizarro (CoRR, 2021)

Lightweight Automated Feature Monitoring for Data Streams. - João Conde; Ricardo Moreira; João Torres; Pedro Cardoso; Hugo R. C. Ferreira; Marco O. P. Sampaio; João Tiago Ascensão; Pedro Bizarro (CoRR, 2022)

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)

FiFAR: A Fraud Detection Dataset for Learning to Defer. - Jean V. Alves; Diogo Leitão; Sérgio M. Jesus; Marco O. P. Sampaio; Pedro Saleiro; Mário A. T. Figueiredo; Pedro Bizarro (CoRR, 2023)

Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints. - Jean V. Alves; Diogo Leitão; Sérgio M. Jesus; Marco O. P. Sampaio; Javier Liébana; Pedro Saleiro; Mário A. T. Figueiredo; Pedro Bizarro (Trans. Mach. Learn. Res., 2024)