| A systematic review on Deep Learning approaches for IoT security L Aversano, ML Bernardi, M Cimitile, R Pecori Computer Science Review 40, 100389, 2021 | 88 | 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 | 78 | 2017 |
| 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 |
| 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 | 63 | 2019 |
| 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 | 62 | 2021 |
| 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 | 59 | 2015 |
| Driver and path detection through time-series classification ML Bernardi, M Cimitile, F Martinelli, F Mercaldo Journal of Advanced Transportation 2018, 2018 | 50 | 2018 |
| 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 | 48 | 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 | 38 | 2019 |
| 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 | 37 | 2017 |
| 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 | 35 | 2020 |
| 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 | 34 | 2019 |
| 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 | 34 | 2012 |
| Deep neural networks ensemble to detect COVID-19 from CT scans L Aversano, ML Bernardi, M Cimitile, R Pecori Pattern Recognition 120, 108135, 2021 | 33 | 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 | 31 | 2013 |
| 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, 1-14, 2021 | 28 | 2021 |
| 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 | 28 | 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 | 28 | 2014 |
| Learning analytics to improve coding abilities: a fuzzy-based process mining approach P Ardimento, ML Bernardi, M Cimitile, G De Ruvo 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2019 | 26 | 2019 |
| 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 | 25 | 2020 |
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