BOCCHI, GIOVANNI
BOCCHI, GIOVANNI
Dipartimento di Scienze e Politiche Ambientali
GENEOnet: statistical analysis supporting explainability and trustworthiness
2025 G. Bocchi, P. Frosini, A. Micheletti, A. Pedretti, C. Gratteri, F. Lunghini, A.R. Beccari, C. Talarico
NETWORKS OF GROUP EQUIVARIANT NON-EXPANSIVE OPERATORS FOR ARTIFICIAL INTELLIGENCE. MODELS, APPLICATIONS AND INTERPRETABILITY.
2025 G. Bocchi
A novel approach to graph distinction through GENEOs and permutants
2025 G. Bocchi, M. Ferri, P. Frosini
A geometric XAI approach to protein pocket detection
2024 G. Bocchi, P. Frosini, A. Micheletti, A. Pedretti, G. Palermo, D. Gadioli, C. Gratteri, F. Lunghini, A.R. Beccari, A. Fava, C. Talarico
Explainable Machine Learning based on Group Equivariant Non-Expansive Operators (GENEOs). Protein pocket detection: a case study
2023 G. Bocchi, A. Micheletti, P. Frosini, A. Pedretti, A.R. Beccari, F. Lunghini, C. Talarico, C. Gratteri
A new paradigm for Artificial Intelligence based on Group Equivariant Non-Expansive Operators (GENEOs) applied to protein pocket detection
2023 G. Bocchi, A. Micheletti, P. Frosini, A. Pedretti, C. Gratteri, F. Lunghini, A.R. Beccari, C. Talarico
On the finite representation of linear group equivariant operators via permutant measures
2023 G. Bocchi, S. Botteghi, M. Brasini, P. Frosini, N. Quercioli