Alberto Carlevaro

According to our database, Alberto Carlevaro authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification.

Alberto Carlevaro, Teodoro Alamo Cantarero, Fabrizio Dabbene, Maurizio Mongelli

CoRR, 2024

2023

Artichoke deep learning detection network for site-specific agrochemicals UAS spraying.

Alberto Sassu, Jacopo Motta, Alessandro Deidda, Luca Ghiani, Alberto Carlevaro, Giovanni Garibotto, Filippo Gambella

Comput. Electron. Agric., October, 2023

Probabilistic Safety Regions Via Finite Families of Scalable Classifiers.

Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli

CoRR, 2023

CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.

Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli

CoRR, 2023

CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.

Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

A New SVDD Approach to Reliable and Explainable AI.

Alberto Carlevaro, Maurizio Mongelli

IEEE Intell. Syst., 2022

eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics.

Ivan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli

IEEE Access, 2022

Counterfactual Building and Evaluation via eXplainable Support Vector Data Description.

Alberto Carlevaro, Marta Lenatti, Alessia Paglialonga, Maurizio Mongelli

IEEE Access, 2022

Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI.

Marta Lenatti, Alberto Carlevaro, Karim Keshavjee, Aziz Guergachi, Alessia Paglialonga, Maurizio Mongelli

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

On The Detection Of Adversarial Attacks Through Reliable AI.

Ivan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli

Proceedings of the IEEE INFOCOM 2022, 2022

2021

Reliable AI Through SVDD and Rule Extraction.

Alberto Carlevaro, Maurizio Mongelli

Proceedings of the Machine Learning and Knowledge Extraction, 2021