METTA, CARLO
METTA, CARLO
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Advancing dermatological diagnostics: interpretable AI for enhanced skin lesion classification
2024 Metta, C.; Beretta, A.; Guidotti, R.; Yin, Y.; Gallinari, P.; Rinzivillo, S.; Giannotti, F.
GloNets: Globally Connected Neural Networks
2024 Di Cecco, A.; Metta, C.; Fantozzi, M.; Morandin, F.; Parton, M.
Increasing biases can be more efficient than increasing weights
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
2024 Parton, M.; Fois, A.; Veglio, M.; Metta, C.; Gregnanin, M.
Towards transparent healthcare: advancing local explanation methods in Explainable Artificial Intelligence
2024 Metta, C.; Beretta, A.; Pellungrini, R.; Rinzivillo, S.; Giannotti, F.
Artificial intelligence and renegotiation of commercial lease contracts affected by pandemic-related contingencies from Covid-19. The project A.I.A.Co.
2023 Maurizio Parton; Marco Angelone; Carlo Metta; Stefania D'Ovidio; Roberta Massarelli; Luca Moscardelli; Gianluca Amato
Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning
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?
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
2022 Metta, C; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S
Exemplars and counterexemplars explanations for image classifiers, targeting skin lesion labeling
2021 Metta, C; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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. | |
| 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 | Maurizio Parton; Marco Angelone; Carlo Metta; Stefania D'Ovidio; Roberta Massarelli; Luca Moscardelli; Gianluca Amato | |
| 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 |