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Mario Luca Bernardi
Mario Luca Bernardi
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Jahr
A systematic review on Deep Learning approaches for IoT security
L Aversano, ML Bernardi, M Cimitile, R Pecori
Computer Science Review 40, 100389, 2021
912021
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
782017
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
662021
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
642014
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
632019
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
602015
Driver and Path Detection through Time‐Series Classification
ML Bernardi, M Cimitile, F Martinelli, F Mercaldo
Journal of Advanced Transportation 2018 (1), 1758731, 2018
502018
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
482018
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
382019
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
372017
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
352020
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
352019
Deep neural networks ensemble to detect COVID-19 from CT scans
L Aversano, ML Bernardi, M Cimitile, R Pecori
Pattern Recognition 120, 108135, 2021
342021
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
342012
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
312013
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
292016
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
282021
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
282014
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
262019
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
252020
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