MONTANO, Debora
MONTANO, Debora
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D †
2024-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Montano, D.; Pecori, R.
Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Montano, D.; Pecori, R.
Early Parkinson’s Disease Detection from EEG Traces Using Machine Learning Techniques
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning
2024-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Montano, D.; Pecori, R.; Veltri, L.
Forecasting technical debt evolution in software systems: an empirical study
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.
Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture
2023-01-01 Pecori, R.; Presti, P.; Avanzini, P.; Aversano, L.; Caruana, F.; Cimitile, M.; Montano, D.; Ruzzon, D.; Bernardi, M. L.; Vecchiato, G.
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.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C. | |
| An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D. | |
| An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C. | |
| Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D † | 1-gen-2024 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Montano, D.; Pecori, R. | |
| Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Montano, D.; Pecori, R. | |
| Early Parkinson’s Disease Detection from EEG Traces Using Machine Learning Techniques | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C. | |
| Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning | 1-gen-2024 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Montano, D.; Pecori, R.; Veltri, L. | |
| Forecasting technical debt evolution in software systems: an empirical study | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D. | |
| Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture | 1-gen-2023 | Pecori, R.; Presti, P.; Avanzini, P.; Aversano, L.; Caruana, F.; Cimitile, M.; Montano, D.; Ruzzon, D.; Bernardi, M. L.; Vecchiato, G. | |
| 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. |