11 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 3 cited
Scalable Rule Lists Learning with Sampling
Leonardo Pellegrina, Fabio Vandin
Learning interpretable models has become a major focus of machine learning research, given the increasing prominence of machine learning in socially important decision-making. Amon…
cs.LG2024
Efficient Discovery of Significant Patterns with Few-Shot Resampling
Leonardo Pellegrina, Fabio Vandin
Significant pattern mining is a fundamental task in mining transactional data, requiring to identify patterns significantly associated with the value of a given feature, the target…
cs.SI2023★ 11 cited
Efficient Centrality Maximization with Rademacher Averages
Leonardo Pellegrina
The identification of the set of k most central nodes of a graph, or centrality maximization, is a key task in network analysis, with various applications ranging from finding comm…