BERNARDI, Mario Luca
BERNARDI, Mario Luca
DIPARTIMENTO DI INGEGNERIA
A Comparative Study of Transfer Learning on CNN-Based Models for Fault and Anomaly Detection in Industrial Processes
2024-01-01 Salsano, A.; Menanno, M.; Bernardi, M. L.
A constraint-driven approach for dynamic malware detection
2016-01-01 Bernardi, M. L.; Cimitile, M.; Distante, D.; Mercaldo, F.
A data-aware explainable deep learning approach for next activity prediction
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C.
A fuzzy clustering-based approach to study malware phylogeny
2018-01-01 Acampora, G.; Bernardi, M. L.; Cimitile, M.; Tortora, G.; Vitiello, A.
A fuzzy-based autoscaling approach for process centered cloud systems
2017-01-01 Acampora, G.; Bernardi, M. L.; Cimitile, M.; Tortora, G.; Vitiello, A.
A fuzzy-based process mining approach for dynamic malware detection
2017-01-01 Bernardi, M. L.; Cimitile, M.; Martinelli, F.; Mercaldo, F.
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
A machine learning approach for game bot detection through behavioural features
2018-01-01 Bernardi, M. L.; Cimitile, M.; Martinelli, F.; Mercaldo, F.
A Machine Learning Approach for Walker Identification Using Smartphone Sensors
2020-01-01 Angrisano, A.; Ardimento, P.; Bernardi, M. L.; Cimitile, M.; Gaglione, S.
A multi-source machine learning approach to predict defect prone components
2019-01-01 Ardimento, P.; Bernardi, M. L.; Cimitile, M.
A preliminary study on Business Process-aware Large Language Models
2024-01-01 Bernardi, M. L.; Casciani, A.; Cimitile, M.; Marrella, A.
A Survey on Reverse Engineering Methods and Techniques to Support Aspect Mining in Object oriented Code
2010-01-01 Bernardi, Mario Luca; Cerulo, Luigi; Di Lucca, G; DI PENTA, Massimiliano
A systematic review on artificial intelligence techniques for detecting thyroid diseases
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Maiellaro, A.; Pecori, R.
A systematic review on Deep Learning approaches for IoT security
2021-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
A time series classification approach to game bot detection
2017-01-01 Bernardi, M. L.; Cimitile, M.; Martinelli, F.; Mercaldo, F.
A Topic Modeling Approach to Evaluate the Comments Consistency to Source Code
2020-01-01 Iammarino, M.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
A UAV infrared measurement approach for defect detection in photovoltaic plants
2017-01-01 Addabbo, P.; Angrisano, A.; Bernardi, M. L.; Gagliarde, G.; Mennella, A.; Nisi, M.; Ullo, S.
A UAV System for Photovoltaic Plants Inspection
2018-01-01 Addabbo, P.; Angrisano, A.; Bernardi, M. L.; Gagliarde, G.; Mennella, A.; Nisi, M.; Ullo, S.
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Comparative Study of Transfer Learning on CNN-Based Models for Fault and Anomaly Detection in Industrial Processes | 1-gen-2024 | Salsano, A.; Menanno, M.; Bernardi, M. L. | |
A constraint-driven approach for dynamic malware detection | 1-gen-2016 | Bernardi, M. L.; Cimitile, M.; Distante, D.; Mercaldo, F. | |
A data-aware explainable deep learning approach for next activity prediction | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C. | |
A fuzzy clustering-based approach to study malware phylogeny | 1-gen-2018 | Acampora, G.; Bernardi, M. L.; Cimitile, M.; Tortora, G.; Vitiello, A. | |
A fuzzy-based autoscaling approach for process centered cloud systems | 1-gen-2017 | Acampora, G.; Bernardi, M. L.; Cimitile, M.; Tortora, G.; Vitiello, A. | |
A fuzzy-based process mining approach for dynamic malware detection | 1-gen-2017 | Bernardi, M. L.; Cimitile, M.; Martinelli, F.; Mercaldo, F. | |
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C. | |
A machine learning approach for game bot detection through behavioural features | 1-gen-2018 | Bernardi, M. L.; Cimitile, M.; Martinelli, F.; Mercaldo, F. | |
A Machine Learning Approach for Walker Identification Using Smartphone Sensors | 1-gen-2020 | Angrisano, A.; Ardimento, P.; Bernardi, M. L.; Cimitile, M.; Gaglione, S. | |
A multi-source machine learning approach to predict defect prone components | 1-gen-2019 | Ardimento, P.; Bernardi, M. L.; Cimitile, M. | |
A preliminary study on Business Process-aware Large Language Models | 1-gen-2024 | Bernardi, M. L.; Casciani, A.; Cimitile, M.; Marrella, A. | |
A Survey on Reverse Engineering Methods and Techniques to Support Aspect Mining in Object oriented Code | 1-gen-2010 | Bernardi, Mario Luca; Cerulo, Luigi; Di Lucca, G; DI PENTA, Massimiliano | |
A systematic review on artificial intelligence techniques for detecting thyroid diseases | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Maiellaro, A.; Pecori, R. | |
A systematic review on Deep Learning approaches for IoT security | 1-gen-2021 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo | |
A time series classification approach to game bot detection | 1-gen-2017 | Bernardi, M. L.; Cimitile, M.; Martinelli, F.; Mercaldo, F. | |
A Topic Modeling Approach to Evaluate the Comments Consistency to Source Code | 1-gen-2020 | Iammarino, M.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
A UAV infrared measurement approach for defect detection in photovoltaic plants | 1-gen-2017 | Addabbo, P.; Angrisano, A.; Bernardi, M. L.; Gagliarde, G.; Mennella, A.; Nisi, M.; Ullo, S. | |
A UAV System for Photovoltaic Plants Inspection | 1-gen-2018 | Addabbo, P.; Angrisano, A.; Bernardi, M. L.; Gagliarde, G.; Mennella, A.; Nisi, M.; Ullo, S. | |
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D. | |
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C. |