Alberto Carlevaro

25 papers C 1Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel score function for conformal prediction in rule-based binary classification.
Pattern Recognit.
Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2026 J jnl
Empowering Retail Visitors Through Edge AI: A User-Centered Case Study of Cooperative Totem Systems.
IEEE Access
Gianluca Brilli, Federica Caruso, Giacomo Valente, Alberto Carlevaro, Chiara Garibotto, Jacopo Motta, Vittoriano Muttillo, Damiano Vallocchia, Paolo Burgio
2025 J jnl
Estimation and Conformity Evaluation of Multi-Class Counterfactual Explanations for Chronic Disease Prevention.
IEEE J. Biomed. Health Informatics
Marta Lenatti, Alberto Carlevaro, Aziz Guergachi, Karim Keshavjee, Maurizio Mongelli, Alessia Paglialonga
2025 J jnl
Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation.
CoRR
Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
2025 — conf
Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation.
COPA
Sara Narteni, Alberto Carlevaro, Zeming Duan, Serge Autexier, Maurizio Mongelli
2025 J jnl
Probabilistic Safety Regions via Finite Families of Adjustable Classifiers.
IEEE Trans. Neural Networks Learn. Syst.
Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
2025 — conf
Provably Efficient and Robust Conformal Prediction under a Realistic Threat Model.
COPA
Alberto Carlevaro, Luca Oneto, Davide Anguita, Fabio Roli
2025 — conf
Safe and Efficient Social Navigation Through Explainable Safety Regions Based on Topological Features.
xAI (2)
Víctor Toscano-Durán, Sara Narteni, Alberto Carlevaro, Jérôme Guzzi, Rocío González-Díaz, Maurizio Mongelli
2025 J jnl
Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features.
CoRR
Víctor Toscano-Durán, Sara Narteni, Alberto Carlevaro, Rocío González-Díaz, Maurizio Mongelli, Jerome Guzzi
2024 — conf
A probabilistic scaling approach to conformal predictions in binary image classification.
COPA
Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Teodoro Alamo, Maurizio Mongelli
2024 J jnl
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification.
CoRR
Alberto Carlevaro, Teodoro Alamo Cantarero, Fabrizio Dabbene, Maurizio Mongelli
2024 J jnl
Conformal predictions for probabilistically robust scalable machine learning classification.
Mach. Learn.
Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
2024 — conf
Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions.
xAI (4)
Sara Narteni, Alberto Carlevaro, Jérôme Guzzi, Maurizio Mongelli
2024 — —
Mathematical Methods for eXplainable and Reliable Machine Learning in Trustworthy Artificial Intelligence.
Alberto Carlevaro
2024 J jnl
Multiclass Counterfactual Explanations Using Support Vector Data Description.
IEEE Trans. Artif. Intell.
Alberto Carlevaro, Marta Lenatti, Alessia Paglialonga, Maurizio Mongelli
2023 J jnl
Artichoke deep learning detection network for site-specific agrochemicals UAS spraying.
Comput. Electron. Agric.
Alberto Sassu, Jacopo Motta, Alessandro Deidda, Luca Ghiani, Alberto Carlevaro, Giovanni Garibotto, Filippo Gambella
2023 — conf
CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.
COPA
Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2023 J jnl
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.
CoRR
Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2023 J jnl
Probabilistic Safety Regions Via Finite Families of Scalable Classifiers.
CoRR
Alberto Carlevaro, Teodoro Alamo, Fabrizio Dabbene, Maurizio Mongelli
2022 J jnl
A New SVDD Approach to Reliable and Explainable AI.
IEEE Intell. Syst.
Alberto Carlevaro, Maurizio Mongelli
2022 — conf
Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI.
MIE
Marta Lenatti, Alberto Carlevaro, Karim Keshavjee, Aziz Guergachi, Alessia Paglialonga, Maurizio Mongelli
2022 J jnl
Counterfactual Building and Evaluation via eXplainable Support Vector Data Description.
IEEE Access
Alberto Carlevaro, Marta Lenatti, Alessia Paglialonga, Maurizio Mongelli
2022 — conf
On The Detection Of Adversarial Attacks Through Reliable AI.
INFOCOM Workshops
Ivan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli
2022 J jnl
eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics.
IEEE Access
Ivan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli
2021 C conf
Reliable AI Through SVDD and Rule Extraction.
CD-MAKE
Alberto Carlevaro, Maurizio Mongelli