Minimax Classifier with Box Constraint on the Priors. - Cyprien Gilet; Susana Barbosa; Lionel Fillatre (ML4H@NeurIPS, 2019)

Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions. - Cyprien Gilet; Susana Barbosa; Lionel Fillatre (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multiclass Minimax Learning for Deep Neural Networks. - Cyprien Gilet; Marie Guyomard; Susana Barbosa; Lionel Fillatre (EUSIPCO, 2023)

Understandable Relu Neural Network For Signal Classification. - Marie Guyomard; Susana Barbosa; Lionel Fillatre (ICASSP, 2023)

Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network. - Marie Guyomard; Susana Barbosa; Lionel Fillatre (ICML, 2023)

Towards an IDE for Scientific Computational Experiments. - Lázaro Costa; Susana Barbosa; Jácome Cunha (VL/HCC, 2023)

A Backend Platform for Supporting the Reproducibility of Computational Experiments. - Lázaro Costa; Susana Barbosa; Jácome Cunha (CoRR, 2023)

Evaluating Tools for Enhancing Reproducibility in Computational Scientific Experiments. - Lázaro Costa; Susana Barbosa; Jácome Cunha (ACM-REP, 2024)

Programmer User Studies: Supporting Tools & Features. - Lázaro Costa; Susana Barbosa; Jácome Cunha (VL/HCC, 2024)

Mind the gap: The missing features of the tools to support user studies in software engineering. - Lázaro Costa; Susana Barbosa; Jácome Cunha (J. Comput. Lang., 2025)

A Dataset For Computational Reproducibility. - Lázaro Costa; Susana Barbosa; Jácome Cunha (CoRR, 2025)

Let's Talk About It: Making Scientific Computational Reproducibility Easy. - Lázaro Costa; Susana Barbosa; Jácome Cunha (CoRR, 2025)

A framework for supporting the reproducibility of computational experiments in multiple scientific domains. - Lázaro Costa; Susana Barbosa; Jácome Cunha (Future Gener. Comput. Syst., 2026)