Leonardo Alexandre

According to our database, Leonardo Alexandre authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

CoRR, 2024

2023

SBML2HYB: a Python interface for SBML compatible hybrid modeling.

José Pinto, Rafael S. Costa, Leonardo Alexandre, João Ramos, Rui Oliveira

Bioinform., January, 2023

TriSig: Assessing the statistical significance of triclusters.

Leonardo Alexandre, Rafael S. Costa, Rui Henriques

CoRR, 2023

2022

Scaling pattern mining through non-overlapping variable partitioning.

Leonardo Alexandre, Rafael S. Costa, Rui Henriques

CoRR, 2022

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

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

DI2: prior-free and multi-item discretization ofbiomedical data and its applications.

Leonardo Alexandre, Rafael S. Costa, Rui Henriques

CoRR, 2021

DI2: prior-free and multi-item discretization of biological data and its applications.

Leonardo Alexandre, Rafael S. Costa, Rui Henriques

BMC Bioinform., 2021