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BERNARDI, Mario Luca

BERNARDI, Mario Luca  

DIPARTIMENTO DI INGEGNERIA  

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Titolo Data di pubblicazione Autore(i) File
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 Deep Learning approaches for IoT security 1-gen-2021 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
An Explainable and Evolving Car Driver Identification System based on Decision Trees 1-gen-2022 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Ducange, Pietro; Fazzolari, Michela; Pecori, Riccardo
Anomaly Detection of actual IoT traffic flows through Deep Learning 1-gen-2021 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
Automating the Maintenance of Photovoltaic Power Plants 1-gen-2018 Muhammad, Bilal; Ramjee, Prasad; Nisi, M.; Mennella, A.; Gagliarde, G.; Cianca, E.; Marenchino, D.; Angrisano, A.; Bernardi, M.; Addabbo, P.; Ullo, S
Continuous authentication using deep neural networks ensemble on keystroke dynamics 1-gen-2021 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
Convolutional neural networks 1-gen-2021 Ullo, SILVIA LIBERATA; Sebastianelli, Alessandro; DEL ROSSO, MARIA PIA; Spiller, Dario; Puglisi, Erika; Nowakowski, Artur; Bernardi, Mario Luca; Cimitile, Marta
Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans 1-gen-2021 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
Deep neural networks ensemble to detect COVID-19 from CT scans 1-gen-2021 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
Do Developers Introduce Bugs When They Do Not Communicate? The Case of Eclipse and Mozilla 1-gen-2012 Bernardi, Mario Luca; Canfora, Gerardo; Di Lucca, G; DI PENTA, Massimiliano; Damiano, Distante
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics 1-gen-2020 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
EASY-PV: A ready-to-market EGNSS high Accuracy System improving photovoltaic plant maintenance 1-gen-2017 Nisi, M.; Mennella, A.; Gagliarde, G.; Luisi, G.; Muhammad, Bilal; Ramjee, Prasad; Cianca, E.; Marenchino, D.; Angrisano, A.; Bernardi, M.; Addabbo, P.; Ullo, S
Effective Anomaly Detection Using Deep Learning in IoT Systems 1-gen-2021 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo; Veltri, Luca
Forecasting technical debt evolution in software systems: an empirical study 1-gen-2023 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.
Fuzzy Neural Networks to Detect Parkinson Disease 1-gen-2020 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
How to develop your network with Python and Keras 1-gen-2021 Ullo, SILVIA LIBERATA; DEL ROSSO, MARIA PIA; Sebastianelli, Alessandro; Puglisi, Erika; Bernardi, Mario Luca; Cimitile, Marta
Just-in-time software defect prediction using deep temporal convolutional networks 1-gen-2022 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks 1-gen-2020 Ardimento, P; Bernardi, Ml; Cimitile, M; De Ruvo, G
Technical Debt predictive model through Temporal Convolutional Network 1-gen-2021 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics 1-gen-2021 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.