CARLEVARO, ALBERTO

CARLEVARO, ALBERTO  

100026 - Dipartimento di Ingegneria navale, elettrica, elettronica e delle telecomunicazioni  

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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.
eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics 1-gen-2022 Vaccari, I.; Carlevaro, A.; Narteni, S.; Cambiaso, E.; Mongelli, M.
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.