BERNARDI, Mario Luca

BERNARDI, Mario Luca  

DIPARTIMENTO DI INGEGNERIA  

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Risultati 1 - 20 di 112 (tempo di esecuzione: 0.022 secondi).
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.