4 papers
Concise and interpretable multi-label rule sets
Martino Ciaperoni, Han Xiao, Aristides Gionis
Multi-label classification is becoming increasingly ubiquitous, but not much attention has been paid to interpretability. In this paper, we develop a multi-label classifier that ca…
Workload-Aware Materialization of Junction Trees
Martino Ciaperoni, Cigdem Aslay, Aristides Gionis +1
Bayesian networks are popular probabilistic models that capture the conditional dependencies among a set of variables. Inference in Bayesian networks is a fundamental task for answ…
Relevance of temporal cores for epidemic spread in temporal networks
Martino Ciaperoni, Edoardo Galimberti, Francesco Bonchi +3
Temporal networks are widely used to represent a vast diversity of systems, including in particular social interactions, and the spreading processes unfolding on top of them. The i…
Span-core Decomposition for Temporal Networks: Algorithms and Applications
Edoardo Galimberti, Martino Ciaperoni, Alain Barrat +3
When analyzing temporal networks, a fundamental task is the identification of dense structures (i.e., groups of vertices that exhibit a large number of links), together with their…