CARLEVARO, ALBERTO
CARLEVARO, ALBERTO
100026 - Dipartimento di Ingegneria navale, elettrica, elettronica e delle telecomunicazioni
A New SVDD Approach to Reliable and Explainable AI
2022-01-01 Carlevaro, A.; Mongelli, M.
A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations
2022-01-01 Lenatti, M.; Carlevaro, A.; Guergachi, A.; Keshavjee, K.; Mongelli, M.; Paglialonga, A.
Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI
2022-01-01 Lenatti, M.; Carlevaro, A.; Keshavjee, K.; Guergachi, A.; Paglialonga, A.; Mongelli, M.
Counterfactual Building and Evaluation via eXplainable Support Vector Data Description
2022-01-01 Carlevaro, A.; Lenatti, M.; Paglialonga, A.; Mongelli, M.
Empowering Retail Visitors Through Edge AI: A User-Centered Case Study of Cooperative Totem Systems
2026-01-01 Brilli, Gianluca; Caruso, Federica; Valente, Giacomo; Carlevaro, Alberto; Garibotto, Chiara; Motta, Jacopo; Muttillo, Vittoriano; Vallocchia, Damiano; Burgio, Paolo
eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics
2022-01-01 Vaccari, I.; Carlevaro, A.; Narteni, S.; Cambiaso, E.; Mongelli, M.
eXplainable Checker of Video Analytics Performance in Indoor Smart Mobility
2025-01-01 Samandari, Ahmad; Motta, Jacopo; Orani, Vanessa; Carlevaro, Alberto; Mongelli, Maurizio
Mathematical Methods for eXplainable and Reliable Machine Learning in Trustworthy Artificial Intelligence
2024-03-11 Carlevaro, Alberto
On The Detection Of Adversarial Attacks Through Reliable AI
2022-01-01 Vaccari, Ivan; Carlevaro, Alberto; Narteni, Sara; Cambiaso, Enrico; Mongelli, Maurizio
Reliable AI Through SVDD and Rule Extraction
2021-01-01 Carlevaro, A.; Mongelli, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A New SVDD Approach to Reliable and Explainable AI | 1-gen-2022 | Carlevaro, A.; Mongelli, M. | |
| A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations | 1-gen-2022 | Lenatti, M.; Carlevaro, A.; Guergachi, A.; Keshavjee, K.; Mongelli, M.; Paglialonga, A. | |
| Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI | 1-gen-2022 | Lenatti, M.; Carlevaro, A.; Keshavjee, K.; Guergachi, A.; Paglialonga, A.; Mongelli, M. | |
| Counterfactual Building and Evaluation via eXplainable Support Vector Data Description | 1-gen-2022 | Carlevaro, A.; Lenatti, M.; Paglialonga, A.; Mongelli, M. | |
| Empowering Retail Visitors Through Edge AI: A User-Centered Case Study of Cooperative Totem Systems | 1-gen-2026 | Brilli, Gianluca; Caruso, Federica; Valente, Giacomo; Carlevaro, Alberto; Garibotto, Chiara; Motta, Jacopo; Muttillo, Vittoriano; Vallocchia, Damiano; Burgio, Paolo | |
| eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics | 1-gen-2022 | Vaccari, I.; Carlevaro, A.; Narteni, S.; Cambiaso, E.; Mongelli, M. | |
| eXplainable Checker of Video Analytics Performance in Indoor Smart Mobility | 1-gen-2025 | Samandari, Ahmad; Motta, Jacopo; Orani, Vanessa; Carlevaro, Alberto; Mongelli, Maurizio | |
| Mathematical Methods for eXplainable and Reliable Machine Learning in Trustworthy Artificial Intelligence | 11-mar-2024 | Carlevaro, Alberto | |
| On The Detection Of Adversarial Attacks Through Reliable AI | 1-gen-2022 | Vaccari, Ivan; Carlevaro, Alberto; Narteni, Sara; Cambiaso, Enrico; Mongelli, Maurizio | |
| Reliable AI Through SVDD and Rule Extraction | 1-gen-2021 | Carlevaro, A.; Mongelli, M. |