3 papers
cs.LG2026
A Family of Divergence Measures for Evaluating the Reconstruction Quality of Explainable Ensemble Trees
Massimo Aria, Agostino Gnasso, Carmela Iorio
Validating interpretable surrogate models for ensemble learners requires measuring agreement between the ensemble's internal representation and its surrogate approximation, rather…
cs.LG2024
Extending Explainable Ensemble Trees (E2Tree) to regression contexts
Massimo Aria, Agostino Gnasso, Carmela Iorio +1
Ensemble methods such as random forests have transformed the landscape of supervised learning, offering highly accurate prediction through the aggregation of multiple weak learners…
stat.AP2016
Dynamic recursive tree-based partitioning for malignant melanoma identification in skin lesion dermoscopic images
Roberta Siciliano, Massimo Aria, Antonio D'Ambrosio +1
In this paper, multivalued data or multiple values variables are defined. They are typical when there is some intrinsic uncertainty in data production, as the result of imprecise m…