A systematic review on Deep Learning approaches for IoT security L Aversano, ML Bernardi, M Cimitile, R Pecori Computer Science Review 40, 100389, 2021 | 109 | 2021 |
A UAV infrared measurement approach for defect detection in photovoltaic plants P Addabbo, A Angrisano, ML Bernardi, G Gagliarde, A Mennella, M Nisi, ... 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace …, 2017 | 82 | 2017 |
Thyroid disease treatment prediction with machine learning approaches L Aversano, ML Bernardi, M Cimitile, M Iammarino, PE Macchia, ... Procedia Computer Science 192, 1031-1040, 2021 | 81 | 2021 |
Dynamic malware detection and phylogeny analysis using process mining ML Bernardi, M Cimitile, D Distante, F Martinelli, F Mercaldo International Journal of Information Security 18, 257-284, 2019 | 67 | 2019 |
Generating event logs through the simulation of declare models C Di Ciccio, ML Bernardi, M Cimitile, FM Maggi Enterprise and Organizational Modeling and Simulation: 11th International …, 2015 | 65 | 2015 |
Design pattern detection using a DSL‐driven graph matching approach ML Bernardi, M Cimitile, G Di Lucca Journal of Software: Evolution and Process 26 (12), 1233-1266, 2014 | 64 | 2014 |
UAV system for photovoltaic plant inspection P Addabbo, A Angrisano, ML Bernardi, G Gagliarde, A Mennella, M Nisi, ... IEEE Aerospace and Electronic Systems Magazine 33 (8), 58-67, 2018 | 56 | 2018 |
Driver and Path Detection through Time‐Series Classification ML Bernardi, M Cimitile, F Martinelli, F Mercaldo Journal of Advanced Transportation 2018 (1), 1758731, 2018 | 54 | 2018 |
Evaluating coding behavior in software development processes: A process mining approach P Ardimento, ML Bernardi, M Cimitile, FM Maggi 2019 IEEE/ACM International Conference on Software and System Processes …, 2019 | 40 | 2019 |
Early detection of Parkinson disease using deep neural networks on gait dynamics L Aversano, ML Bernardi, M Cimitile, R Pecori 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 39 | 2020 |
Do developers introduce bugs when they do not communicate? the case of eclipse and mozilla ML Bernardi, G Canfora, GA Di Lucca, M Di Penta, D Distante 2012 16th European Conference on Software Maintenance and Reengineering, 139-148, 2012 | 39 | 2012 |
A time series classification approach to game bot detection ML Bernardi, M Cimitile, F Martinelli, F Mercaldo Proceedings of the 7th International Conference on Web Intelligence, Mining …, 2017 | 38 | 2017 |
Keystroke analysis for user identification using deep neural networks ML Bernardi, M Cimitile, F Martinelli, F Mercaldo 2019 international joint conference on neural networks (IJCNN), 1-8, 2019 | 37 | 2019 |
Deep neural networks ensemble to detect COVID-19 from CT scans L Aversano, ML Bernardi, M Cimitile, R Pecori Pattern Recognition 120, 108135, 2021 | 36 | 2021 |
Effective anomaly detection using deep learning in IoT systems L Aversano, ML Bernardi, M Cimitile, R Pecori, L Veltri Wireless Communications and Mobile Computing 2021 (1), 9054336, 2021 | 32 | 2021 |
A model-driven graph-matching approach for design pattern detection ML Bernardi, M Cimitile, GA Di Lucca 2013 20th Working Conference on Reverse Engineering (WCRE), 172-181, 2013 | 32 | 2013 |
Do activity lifecycles affect the validity of a business rule in a business process? ML Bernardi, M Cimitile, C Di Francescomarino, FM Maggi Information Systems 62, 42-59, 2016 | 30 | 2016 |
Using discriminative rule mining to discover declarative process models with non-atomic activities ML Bernardi, M Cimitile, C Di Francescomarino, FM Maggi Rules on the Web. From Theory to Applications: 8th International Symposium …, 2014 | 29 | 2014 |
Temporal convolutional neural networks for radar micro-Doppler based gait recognition P Addabbo, ML Bernardi, F Biondi, M Cimitile, C Clemente, D Orlando Sensors 21 (2), 381, 2021 | 28 | 2021 |
Tomato diseases classification based on VGG and transfer learning L Aversano, ML Bernardi, M Cimitile, M Iammarino, S Rondinella 2020 IEEE International Workshop on Metrology for Agriculture and Forestry …, 2020 | 28 | 2020 |