DI2: prior-free and multi-item discretization of biological data and its applications. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (BMC Bioinform., 2021)

DI2: prior-free and multi-item discretization ofbiomedical data and its applications. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (CoRR, 2021)

Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological Domain. - Leonardo Alexandre; Rafael S. Costa; Lucio Lara-Santos; Rui Henriques (IEEE J. Biomed. Health Informatics, 2021)

IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain. - Hugo Mochão; Daniel Gonçalves; Leonardo Alexandre; Carolina Castro; Duarte Valério; Pedro Barahona; Daniel Moreira-Gonçalves; Paulo Matos da Costa; Rui Henriques; Lucio Lara-Santos; Rafael S. Costa (Comput. Methods Programs Biomed., 2022)

Scaling pattern mining through non-overlapping variable partitioning. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (CoRR, 2022)

TriSig: Assessing the statistical significance of triclusters. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (CoRR, 2023)

SBML2HYB: a Python interface for SBML compatible hybrid modeling. - José Pinto 007; Rafael S. Costa; Leonardo Alexandre; João Ramos; Rui Oliveira 002 (Bioinform., 2023)

TriSig: Evaluating the statistical significance of triclusters. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (Pattern Recognit., 2024)

Integrating statistical significance and discriminative power in pattern discovery. - Leonardo Alexandre; Rafael S. Costa; Rui Henriques (Knowl. Based Syst., 2025)