Sfoglia
Using Machine Learning for early prediction of Heart Disease
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
Design patterns mining using neural sub-graph matching
2022-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
A machine learning approach for game bot detection through behavioural features
2018-01-01 Bernardi, M. L.; Cimitile, M.; Martinelli, F.; Mercaldo, F.
Generating event logs through the simulation of declare models
2015-01-01 Di Ciccio, C.; Bernardi, M. L.; Cimitile, M.; Maggi, F. M.
Using Process Mining to Understand Students’ and Teams’ Dynamics
2022-01-01 Ardimento, P.; Bernardi, M. L.; Cimitile, M.
An Explainable Approach for Car Driver Identification
2021-01-01 Gallo, G.; Bernardi, M. L.; Cimitile, M.; Ducange, P.
Discovering cross-organizational business rules from the cloud
2015-01-01 Bernardi, M. L.; Cimitile, M.; Maggi, F. M.
Data-Aware Declarative Process Mining for Malware Detection
2020-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
Tomato diseases Classification Based on VGG and Transfer Learning
2020-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Rondinella, S.
Web applications design evolution with UWA
2010-01-01 Bernardi, M. L.; Cimitile, M.; Distante, D.; Mazzone, F.
Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks
2022-01-01 Lerina, A.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
A fuzzy-based autoscaling approach for process centered cloud systems
2017-01-01 Acampora, G.; Bernardi, M. L.; Cimitile, M.; Tortora, G.; Vitiello, A.
Learning analytics to improve coding abilities: A fuzzy-based process mining approach
2019-01-01 Ardimento, P.; Bernardi, M. L.; Cimitile, M.; Ruvo, G. D.
Automated development of constraint-driven web applications
2016-01-01 Bernardi, M. L.; Cimitile, M.; Maggi, F. M.
Malware Phylogeny Analysis using Data-Aware Declarative Process Mining
2020-01-01 Ardimento, P.; Bernardi, M. L.; Cimitile, M.
Temporal convolutional networks for just-in-Time software defect prediction
2020-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C.
Gait recognition using FMCW Radar and Temporal Convolutional Deep Neural Networks
2020-01-01 Addabbo, P.; Bernardi, M. L.; Biondi, F.; Cimitile, M.; Clemente, C.; Orlando, D.
Mining Developer's Behavior from Web-Based IDE Logs
2019-01-01 Ardimento, P.; Bernardi, M. L.; Cimitile, M.; De Ruvo, G.
Reducing static dependences exploiting a declarative design patterns framework
2016-01-01 Bernardi, M. L.; Cimitile, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Using Machine Learning for early prediction of Heart Disease | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C. | |
| Design patterns mining using neural sub-graph matching | 1-gen-2022 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
| A machine learning approach for game bot detection through behavioural features | 1-gen-2018 | Bernardi, M. L.; Cimitile, M.; Martinelli, F.; Mercaldo, F. | |
| Generating event logs through the simulation of declare models | 1-gen-2015 | Di Ciccio, C.; Bernardi, M. L.; Cimitile, M.; Maggi, F. M. | |
| Using Process Mining to Understand Students’ and Teams’ Dynamics | 1-gen-2022 | Ardimento, P.; Bernardi, M. L.; Cimitile, M. | |
| An Explainable Approach for Car Driver Identification | 1-gen-2021 | Gallo, G.; Bernardi, M. L.; Cimitile, M.; Ducange, P. | |
| Discovering cross-organizational business rules from the cloud | 1-gen-2015 | Bernardi, M. L.; Cimitile, M.; Maggi, F. M. | |
| Data-Aware Declarative Process Mining for Malware Detection | 1-gen-2020 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
| Tomato diseases Classification Based on VGG and Transfer Learning | 1-gen-2020 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Rondinella, S. | |
| Web applications design evolution with UWA | 1-gen-2010 | Bernardi, M. L.; Cimitile, M.; Distante, D.; Mazzone, F. | |
| Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks | 1-gen-2022 | Lerina, A.; Bernardi, M. L.; Cimitile, M.; Iammarino, M. | |
| A fuzzy-based autoscaling approach for process centered cloud systems | 1-gen-2017 | Acampora, G.; Bernardi, M. L.; Cimitile, M.; Tortora, G.; Vitiello, A. | |
| Learning analytics to improve coding abilities: A fuzzy-based process mining approach | 1-gen-2019 | Ardimento, P.; Bernardi, M. L.; Cimitile, M.; Ruvo, G. D. | |
| Automated development of constraint-driven web applications | 1-gen-2016 | Bernardi, M. L.; Cimitile, M.; Maggi, F. M. | |
| Malware Phylogeny Analysis using Data-Aware Declarative Process Mining | 1-gen-2020 | Ardimento, P.; Bernardi, M. L.; Cimitile, M. | |
| Temporal convolutional networks for just-in-Time software defect prediction | 1-gen-2020 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
| Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C. | |
| Gait recognition using FMCW Radar and Temporal Convolutional Deep Neural Networks | 1-gen-2020 | Addabbo, P.; Bernardi, M. L.; Biondi, F.; Cimitile, M.; Clemente, C.; Orlando, D. | |
| Mining Developer's Behavior from Web-Based IDE Logs | 1-gen-2019 | Ardimento, P.; Bernardi, M. L.; Cimitile, M.; De Ruvo, G. | |
| Reducing static dependences exploiting a declarative design patterns framework | 1-gen-2016 | Bernardi, M. L.; Cimitile, M. |
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- 4 Contributo in Atti di Convegno ...4785
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Keyword
- Measurement41
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