3 papers
cs.LG2023
TriSig: Assessing the statistical significance of triclusters
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Tensor data analysis allows researchers to uncover novel patterns and relationships that cannot be obtained from matrix data alone. The information inferred from the patterns provi…
cs.DB2022
Scaling pattern mining through non-overlapping variable partitioning
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Biclustering algorithms play a central role in the biotechnological and biomedical domains. The knowledge extracted supports the extraction of putative regulatory modules, essentia…
q-bio.QM2021
DI2: prior-free and multi-item discretization ofbiomedical data and its applications
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Motivation: A considerable number of data mining approaches for biomedical data analysis, including state-of-the-art associative models, require a form of data discretization. Alth…