Sfoglia per Autore  

Opzioni
Mostrati risultati da 1 a 10 di 10
Titolo Data di pubblicazione Autori Tipo File Abstract
Explainable Machine Learning based on Group Equivariant Non-Expansive Operators (GENEOs). Protein pocket detection: a case study 2023 G. BocchiA. MichelettiA. Pedretti + Book Part (author) -
On the finite representation of linear group equivariant operators via permutant measures 2023 Bocchi, G + Article (author) -
A new paradigm for Artificial Intelligence based on Group Equivariant Non-Expansive Operators (GENEOs) applied to protein pocket detection 2023 G. BocchiA. MichelettiA. Pedretti + Book Part (author) -
A geometric XAI approach to protein pocket detection 2024 Bocchi G.Micheletti A.Pedretti A. + Book Part (author) -
GENEOnet: statistical analysis supporting explainability and trustworthiness 2025 Bocchi, GiovanniMicheletti, AlessandraPedretti, Alessandro + Article (author) -
SCENE-Net: Geometric induction for interpretable and low-resource 3D pole detection with Group-Equivariant Non-Expansive Operators 2025 Lavado, DiogoMicheletti, AlessandraBocchi, Giovanni + Article (author) -
Prototypical Explanations in an AI Method for Protein Pocket Detection 2025 Bocchi, GiovanniMicheletti, Alessandra + Book Part (author) -
NETWORKS OF GROUP EQUIVARIANT NON-EXPANSIVE OPERATORS FOR ARTIFICIAL INTELLIGENCE. MODELS, APPLICATIONS AND INTERPRETABILITY. 2025 BOCCHI, GIOVANNI Doctoral Thesis -
A novel approach to graph distinction through GENEOs and permutants 2025 Bocchi, Giovanni + Article (author) -
GENEOnet: a breakthrough in protein binding pocket detection using group equivariant non-expansive operators 2025 Bocchi, GiovanniMicheletti, AlessandraPedretti, AlessandroBiswas, Akash Deep + Article (author) -
Mostrati risultati da 1 a 10 di 10
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile