Alberto Carlevaro

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Rule Extraction

Novelty Detection

Machine Learning

Top Venues

Publications

Alberto Carlevaro, Marta Lenatti, Alessia Paglialonga, Maurizio Mongelli
Multiclass Counterfactual Explanations Using Support Vector Data Description. IEEE Trans. Artif. Intell. 5 (6) (2024)
Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
Conformal predictions for probabilistically robust scalable machine learning classification. Mach. Learn. 113 (9) (2024)
Alberto Carlevaro, Teodoro Alamo Cantarero, Fabrizio Dabbene, Maurizio Mongelli
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification. CoRR (2024)
Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
Probabilistic Safety Regions Via Finite Families of Scalable Classifiers. CoRR (2023)
Alberto Sassu, Jacopo Motta, Alessandro Deidda, Luca Ghiani, Alberto Carlevaro, Giovanni Garibotto, Filippo Gambella
Artichoke deep learning detection network for site-specific agrochemicals UAS spraying. Comput. Electron. Agric. 213 (2023)
Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. COPA (2023)
Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence. CoRR (2023)
Ivan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli
On The Detection Of Adversarial Attacks Through Reliable AI. INFOCOM Workshops (2022)
Alberto Carlevaro, Maurizio Mongelli
A New SVDD Approach to Reliable and Explainable AI. IEEE Intell. Syst. 37 (2) (2022)
Ivan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli
eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics. IEEE Access 10 (2022)
Marta Lenatti, Alberto Carlevaro, Karim Keshavjee, Aziz Guergachi, Alessia Paglialonga, Maurizio Mongelli
Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI. MIE (2022)
Alberto Carlevaro, Marta Lenatti, Alessia Paglialonga, Maurizio Mongelli
Counterfactual Building and Evaluation via eXplainable Support Vector Data Description. IEEE Access 10 (2022)
Alberto Carlevaro, Maurizio Mongelli
Reliable AI Through SVDD and Rule Extraction. CD-MAKE (2021)