1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Parsimonious Time Series Clustering
Carmela Iorio, Gianluca Frasso, Antonio D'Ambrosio +1
We introduce a parsimonious model-based framework for clustering time course data. In these applications the computational burden becomes often an issue due to the number of availa…
Boosted-Oriented Probabilistic Smoothing-Spline Clustering of Series
Carmela Iorio, Gianluca Frasso, Antonio D'Ambrosio +1
Fuzzy clustering methods allow the objects to belong to several clusters simultaneously, with different degrees of membership. However, a factor that influences the performance of…