CARLEVARO, ALBERTO
CARLEVARO, ALBERTO
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
A probabilistic scaling approach to conformal predictions in binary image classification
2024 Carlevaro, Alberto; Narteni, Sara; Dabbene, Fabrizio; Alamo, Teodoro; Mongelli, Maurizio
Conformal predictions for probabilistically robust scalable machine learning classification
2024 Carlevaro, Alberto; Alamo, Teodoro; Dabbene, Fabrizio; Mongelli, Maurizio
Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions
2024 Narteni, Sara; Carlevaro, Alberto; Guzzi, Jérôme; Mongelli, Maurizio
Estimation and Conformity Evaluation of Multi-Class Counterfactual Explanations for Chronic Disease Prevention
2024 Lenatti, M.; Carlevaro, A.; Guergachi, A.; Keshavjee, K.; Mongelli, M.; Paglialonga, A.
Multi-Class Counterfactual Explanations using Support Vector Data Description
2024 Carlevaro, Alberto; Lenatti, Marta; Paglialonga, Alessia; Mongelli, Maurizio
"CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence"
2023 Narteni, Sara; Carlevaro, Alberto; Dabbene, Fabrizio; Muselli, Marco; Mongelli, Maurizio
Towards a digital twin for personalized diabetes prevention: the PRAESIIDIUM project
2023 Paglialonga A.; Lenatti M.; Simeone D.; De Paola P.F.; Carlevaro A.; Mongelli M.; Dabbene F.; Castiglione F.; Palumbo M.C.; Stolfi P.; Tieri P.
A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations
2022 Lenatti, M.; Carlevaro, A.; Keshavjee, K.; Guergachi, A.; Mongelli, M.; Paglialonga, A.
AI & Health: Methods and Applications
2022 Paglialonga, A; Lenatti, M; Orani, V; Carlevaro, A; Narteni, S; Muselli, M; Dabbene, F; Mongelli, M
Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI
2022 Lenatti, M.; Carlevaro, A.; Keshavjee, K.; Guergachi, A.; Paglialonga, A.; Mongelli, M.
Counterfactual Building and Evaluation via eXplainable Support Vector Data Description
2022 Carlevaro, A.; Lenatti, M.; Paglialonga, A.; Mongelli, M.
eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics
2022 Vaccari, Ivan; Carlevaro, Alberto; Narteni, Sara; Cambiaso, Enrico; Mongelli, Maurizio
eXplainable and Reliable AI Approaches to Trustworthy AI
2022 Mongelli, Maurizio; Carlevaro, Alberto; Lenatti, Marta; Mammarella, Martina; Muselli, Marco; Narteni, Sara; Orani, Vanessa; Paglialonga, Alessia; Dabbene, Fabrizio
On The Detection Of Adversarial Attacks Through Reliable AI
2022 Vaccari, Ivan; Carlevaro, Alberto; Narteni, Sara; Cambiaso, Enrico; Mongelli, Maurizio
A New SVDD Approach to Reliable and eXplainable AI
2021 Carlevaro A.; Mongelli M.
Reliable AI Through SVDD and Rule Extraction
2021 Carlevaro, Alberto; Mongelli, Maurizio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A probabilistic scaling approach to conformal predictions in binary image classification | 1-gen-2024 | Carlevaro, Alberto; Narteni, Sara; Dabbene, Fabrizio; Alamo, Teodoro; Mongelli, Maurizio | |
| Conformal predictions for probabilistically robust scalable machine learning classification | 1-gen-2024 | Carlevaro, Alberto; Alamo, Teodoro; Dabbene, Fabrizio; Mongelli, Maurizio | |
| Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions | 1-gen-2024 | Narteni, Sara; Carlevaro, Alberto; Guzzi, Jérôme; Mongelli, Maurizio | |
| Estimation and Conformity Evaluation of Multi-Class Counterfactual Explanations for Chronic Disease Prevention | 1-gen-2024 | Lenatti, M.; Carlevaro, A.; Guergachi, A.; Keshavjee, K.; Mongelli, M.; Paglialonga, A. | |
| Multi-Class Counterfactual Explanations using Support Vector Data Description | 1-gen-2024 | Carlevaro, Alberto; Lenatti, Marta; Paglialonga, Alessia; Mongelli, Maurizio | |
| "CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence" | 1-gen-2023 | Narteni, Sara; Carlevaro, Alberto; Dabbene, Fabrizio; Muselli, Marco; Mongelli, Maurizio | |
| Towards a digital twin for personalized diabetes prevention: the PRAESIIDIUM project | 1-gen-2023 | Paglialonga A.; Lenatti M.; Simeone D.; De Paola P.F.; Carlevaro A.; Mongelli M.; Dabbene F.; Castiglione F.; Palumbo M.C.; Stolfi P.; Tieri P. | |
| 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.; Keshavjee, K.; Guergachi, A.; Mongelli, M.; Paglialonga, A. | |
| AI & Health: Methods and Applications | 1-gen-2022 | Paglialonga, A; Lenatti, M; Orani, V; Carlevaro, A; Narteni, S; Muselli, M; Dabbene, F; Mongelli, M | |
| 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, Ivan; Carlevaro, Alberto; Narteni, Sara; Cambiaso, Enrico; Mongelli, Maurizio | |
| eXplainable and Reliable AI Approaches to Trustworthy AI | 1-gen-2022 | Mongelli, Maurizio; Carlevaro, Alberto; Lenatti, Marta; Mammarella, Martina; Muselli, Marco; Narteni, Sara; Orani, Vanessa; Paglialonga, Alessia; Dabbene, Fabrizio | |
| On The Detection Of Adversarial Attacks Through Reliable AI | 1-gen-2022 | Vaccari, Ivan; Carlevaro, Alberto; Narteni, Sara; Cambiaso, Enrico; Mongelli, Maurizio | |
| A New SVDD Approach to Reliable and eXplainable AI | 1-gen-2021 | Carlevaro A.; Mongelli M. | |
| Reliable AI Through SVDD and Rule Extraction | 1-gen-2021 | Carlevaro, Alberto; Mongelli, Maurizio |