Alberto Carlevaro

According to our database, Alberto Carlevaro authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

A novel score function for conformal prediction in rule-based binary classification.

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

Pattern Recognit., 2026

2025

Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features.

Víctor Toscano-Durán, Sara Narteni, Alberto Carlevaro, Rocío González-Díaz, Maurizio Mongelli, Jerome Guzzi

CoRR, March, 2025

Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation.

Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli

CoRR, January, 2025

Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation.

Sara Narteni, Alberto Carlevaro, Zeming Duan, Serge Autexier, Maurizio Mongelli

Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

Provably Efficient and Robust Conformal Prediction under a Realistic Threat Model.

Alberto Carlevaro, Luca Oneto, Davide Anguita, Fabio Roli

Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025

2024

Conformal predictions for probabilistically robust scalable machine learning classification.

Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli

Mach. Learn., September, 2024

Multiclass Counterfactual Explanations Using Support Vector Data Description.

Alberto Carlevaro, Marta Lenatti, Alessia Paglialonga, Maurizio Mongelli

IEEE Trans. Artif. Intell., June, 2024

Mathematical Methods for eXplainable and Reliable Machine Learning in Trustworthy Artificial Intelligence.

Alberto Carlevaro

PhD thesis, 2024

Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions.

Sara Narteni, Alberto Carlevaro, Jérôme Guzzi, Maurizio Mongelli

Proceedings of the Explainable Artificial Intelligence, 2024

A probabilistic scaling approach to conformal predictions in binary image classification.

Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Teodoro Alamo, Maurizio Mongelli

Proceedings of the 13th Symposium on Conformal and Probabilistic Prediction with Applications, 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