Sfoglia per Autore
Data-Aware Declarative Process Mining for Malware Detection
2020-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
Fuzzy Neural Networks to Detect Parkinson Disease
2020-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
A Topic Modeling Approach to Evaluate the Comments Consistency to Source Code
2020-01-01 Iammarino, M.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
An approach for semantic integration of heterogeneous data sources
2020-01-01 Fusco, G.; Aversano, L.
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics
2020-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
Deep neural networks ensemble to detect COVID-19 from CT scans
2021-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
Anomaly Detection of actual IoT traffic flows through Deep Learning
2021-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
Technical Debt predictive model through Temporal Convolutional Network
2021-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Effective Anomaly Detection Using Deep Learning in IoT Systems
2021-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo; Veltri, Luca
Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans
2021-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
Transfer learning for just-in-time design smells prediction using temporal convolutional networks
2021-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Continuous authentication using deep neural networks ensemble on keystroke dynamics
2021-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
Thyroid disease treatment prediction with machine learning approaches
2021-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Macchia, P. E.; Nettore, I. C.; Verdone, C.
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics
2021-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal
2021-01-01 Iammarino, M.; Zampetti, F.; Aversano, L.; Di Penta, M.
A systematic review on Deep Learning approaches for IoT security
2021-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo
An enhanced UNet variant for Effective Lung Cancer Detection
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C.
Water stress classification using Convolutional Deep Neural Networks
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.
An Explainable and Evolving Car Driver Identification System based on Decision Trees
2022-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Ducange, Pietro; Fazzolari, Michela; Pecori, Riccardo
Design patterns mining using neural sub-graph matching
2022-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Data-Aware Declarative Process Mining for Malware Detection | 1-gen-2020 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
Fuzzy Neural Networks to Detect Parkinson Disease | 1-gen-2020 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo | |
A Topic Modeling Approach to Evaluate the Comments Consistency to Source Code | 1-gen-2020 | Iammarino, M.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
An approach for semantic integration of heterogeneous data sources | 1-gen-2020 | Fusco, G.; Aversano, L. | |
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics | 1-gen-2020 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo | |
Deep neural networks ensemble to detect COVID-19 from CT scans | 1-gen-2021 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo | |
Anomaly Detection of actual IoT traffic flows through Deep Learning | 1-gen-2021 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo | |
Technical Debt predictive model through Temporal Convolutional Network | 1-gen-2021 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M. | |
Effective Anomaly Detection Using Deep Learning in IoT Systems | 1-gen-2021 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo; Veltri, Luca | |
Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans | 1-gen-2021 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
Transfer learning for just-in-time design smells prediction using temporal convolutional networks | 1-gen-2021 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M. | |
Continuous authentication using deep neural networks ensemble on keystroke dynamics | 1-gen-2021 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo | |
Thyroid disease treatment prediction with machine learning approaches | 1-gen-2021 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Macchia, P. E.; Nettore, I. C.; Verdone, C. | |
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. | |
An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal | 1-gen-2021 | Iammarino, M.; Zampetti, F.; Aversano, L.; Di Penta, M. | |
A systematic review on Deep Learning approaches for IoT security | 1-gen-2021 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Pecori, Riccardo | |
An enhanced UNet variant for Effective Lung Cancer Detection | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C. | |
Water stress classification using Convolutional Deep Neural Networks | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
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 | |
Design patterns mining using neural sub-graph matching | 1-gen-2022 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M. |
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