From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Expanding Data-Agnostic Pivotal Instances Selection Models with Proximity Trees and Ensemble Learning
Alessio Cascione, Mattia Setzu, Cristiano Landi +2
The paper proposes a hierarchical, interpretable model that selects representative pivot instances to make predictions, using proximity and oblique trees together with ensemble met…
cs.LG2026
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks
Francesco Spinnato, Cristiano Landi
Irregular temporal data, characterized by varying recording frequencies, differing observation durations, and missing values, presents significant challenges across fields like mob…