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METTA, CARLO

METTA, CARLO  

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI  

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Risultati 1 - 20 di 21 (tempo di esecuzione: 0.044 secondi).
Titolo Data di pubblicazione Autore(i) File
A systematization of the Wagner framework graph theory conjectures and reinforcement learning 1-gen-2025 Angileri, F.; Lombardi, G.; Fois, A.; Faraone, R.; Metta, C.; Salvi, M.; Bianchi, L. A.; Fantozzi, M.; Galfrè, S. G.; Pavesi, D.; Parton, M.; Morandin, F.
Analyzing RL components for Wagner’s framework via Brouwer’s conjecture 1-gen-2025 Angileri, F.; Lombardi, G.; Fois, A.; Faraone, R.; Metta, C.; Salvi, M.; Bianchi, L. A.; Fantozzi, M.; Galfrè, S. G.; Pavesi, D.; Parton, M.; Morandin, F.
Explainable AI in time-sensitive scenarios prefetched offline explanation model 1-gen-2025 Russo, F. M.; Metta, C.; Monreale, A.; Rinzivillo, S.; Pinelli, F.
Exploration and generalization in deep learning with SwitchPath activations 1-gen-2025 Di Cecco, A.; Papini, A.; Metta, C.; Fantozzi, M.; Galfrè, S. G.; Morandin, F.; Parton, M.
Improving performance in neural networks by dendrite-activated connection 1-gen-2025 Metta, C.; Fantozzi, M.; Papini, A.; Amato, G.; Bergamaschi, M.; Fois, A.; Galfre’, S. G.; Marchetti, A.; Vegliò, M.; Parton, M.; Morandin, F.
Increasing biases can be more efficient than increasing weights 1-gen-2025 Metta, C.; Fantozzi, M.; Papini, A.; Amato, G.; Bergamaschi, M.; Fois, A.; Galfrè, S. G.; Marchetti, A.; Vegliò, M.; Parton, M.; Morandin, F.
Interactive visual exploration of latent spaces for explainable ai: bridging concepts and features 1-gen-2025 Metta, C.; Cappuccio, E.; Rinzivillo, S.
SwitchPath enhancing exploration in neural networks learning dynamics 1-gen-2025 Di Cecco, A.; Papini, A.; Metta, C.; Fantozzi, M.; Galfré, S. G.; Morandin, F.; Parton, M.
Advancing dermatological diagnostics: interpretable AI for enhanced skin lesion classification 1-gen-2024 Metta, C.; Beretta, A.; Guidotti, R.; Yin, Y.; Gallinari, P.; Rinzivillo, S.; Giannotti, F.
GloNets: Globally Connected Neural Networks 1-gen-2024 Di Cecco, A.; Metta, C.; Fantozzi, M.; Morandin, F.; Parton, M.
Increasing biases can be more efficient than increasing weights 1-gen-2024 Metta, Carlo; Fantozzi, Marco; Papini, Andrea; Amato, Gianluca; Bergamaschi, Matteo; Giulia Galfrè, Silvia; Marchetti, Alessandro; Vegliò, Michelangelo; Parton, Maurizio; Morandin, Francesco
Predicting the failure of component X in the Scania dataset with graph neural networks 1-gen-2024 Parton, M.; Fois, A.; Veglio, M.; Metta, C.; Gregnanin, M.
Towards transparent healthcare: advancing local explanation methods in Explainable Artificial Intelligence 1-gen-2024 Metta, C.; Beretta, A.; Pellungrini, R.; Rinzivillo, S.; Giannotti, F.
XAI in healthcare 1-gen-2024 Gezici, G.; Metta, C; Beretta, A.; Pellungrini, R.; Rinzivillo, S.; Pedreschi, D.; Giannotti, F.
Artificial intelligence and renegotiation of commercial lease contracts affected by pandemic-related contingencies from Covid-19. The project A.I.A.Co. 1-gen-2023 Parton, M.; Angelone, M.; Metta, C.; D'Ovidio, S.; Massarelli, R.; Moscardelli, L.; Amato, G.
Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning 1-gen-2023 Metta, C; Beretta, A; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S; Giannotti, F
Score vs. winrate in score-based games: which reward for reinforcement learning? 1-gen-2023 Pasqualini, L; Parton, M; Morandin, F; Amato, G; Gini, R; Metta, C; Fantozzi, M; Marchetti, A
Exemplars and counterexemplars explanations for skin lesion classifiers 1-gen-2022 Metta, C; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S
Exemplars and counterexemplars explanations for image classifiers, targeting skin lesion labeling 1-gen-2021 Metta, C; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S
SAI: a sensible artificial intelligence that plays with handicap and targets high scores in 9x9 Go 1-gen-2020 Morandin, F.; Amato, G.; Fantozzi, M.; Gini, R.; Metta, C.; Parton, M.