GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection. - Giovanni Bocchi; Patrizio Frosini; Alessandra Micheletti; Alessandro Pedretti; Carmen Gratteri; Filippo Lunghini; Andrea Rosario Beccari; Carmine Talarico (CoRR, 2022)

Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification. - Diogo Lavado; Cláudia Soares; Alessandra Micheletti; Giovanni Bocchi; Alex Coronati; Manuel Silva; Patrizio Frosini (CoRR, 2023)

On the finite representation of linear group equivariant operators via permutant measures. - Giovanni Bocchi; Stefano Botteghi; Martina Brasini; Patrizio Frosini; Nicola Quercioli (Ann. Math. Artif. Intell., 2023)

SiteMap pockets for the PDBbind dataset. - Gianluca Palermo; Giovanni Bocchi; Carmine Talarico; Davide Gadioli; Alessandro Pedretti (Zenodo, 2023)

A geometric XAI approach to protein pocket detection. - Giovanni Bocchi; Patrizio Frosini; Alessandra Micheletti; Alessandro Pedretti; Gianluca Palermo; Davide Gadioli; Carmen Gratteri; Filippo Lunghini; Andrea Rosario Beccari; Anna Fava; Carmine Talarico (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

A novel approach to graph distinction through GENEOs and permutants. - Giovanni Bocchi; Massimo Ferri; Patrizio Frosini (CoRR, 2024)

GENEOnet: Statistical analysis supporting explainability and trustworthiness. - Giovanni Bocchi; Patrizio Frosini; Alessandra Micheletti; Alessandro Pedretti; Carmen Gratteri; Filippo Lunghini; Andrea Rosario Beccari; Carmine Talarico (CoRR, 2025)