BOCCHI, GIOVANNI
BOCCHI, GIOVANNI
Dipartimento di Scienze e Politiche Ambientali
GENEOnet: A New Machine Learning Paradigm for Protein Pocket Detection Based on Group Equivariant Non-expansive Operators
2026 G. Bocchi, A. Micheletti, P. Frosini, A. Pedretti, C. Gratteri, F. Lunghini, A. Rosario Beccari, C. Talarico
Transparent AI methods for drug design based on group equivariant non expansive operators
2026 A. Micheletti, G. Bocchi, C. Gratteri, C. Talarico
NETWORKS OF GROUP EQUIVARIANT NON-EXPANSIVE OPERATORS FOR ARTIFICIAL INTELLIGENCE. MODELS, APPLICATIONS AND INTERPRETABILITY.
2025 G. Bocchi
GENEOnet: a breakthrough in protein binding pocket detection using group equivariant non-expansive operators
2025 G. Bocchi, P. Frosini, A. Micheletti, A. Pedretti, G. Palermo, D. Gadioli, C. Gratteri, F. Lunghini, A.D. Biswas, P.F.W. Stouten, A.R. Beccari, A. Fava, C. Talarico
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
SCENE-Net: Geometric induction for interpretable and low-resource 3D pole detection with Group-Equivariant Non-Expansive Operators
2025 D. Lavado, A. Micheletti, G. Bocchi, P. Frosini, C. Soares
Prototypical Explanations in an AI Method for Protein Pocket Detection
2025 G. Bocchi, A. Micheletti, C. Gratteri, C. Talarico
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
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
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