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2020 – today
- 2024
[j4]Lerina Aversano, Martina Iammarino, Ilaria Mancino, Debora Montano:
A systematic review on artificial intelligence approaches for smart health devices. PeerJ Comput. Sci. 10: e2232 (2024)- [j3]Lerina Aversano
, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori:
Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. Sensors 24(11): 3485 (2024) - [j2]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri:
Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. SN Comput. Sci. 5(5): 488 (2024) - [c13]Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone:
Adopting Delta Maintainability Model for Just in Time Bug Prediction. ICSOFT 2024: 419-426 - [c12]Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone:
A Machine Learning Approach for the Detection of Thoracic Disease using Chest X-ray reports. KES 2024: 1130-1139 - [c11]Lerina Aversano, Antonella Madau, Debora Montano:
An Explainable Approach for Early Diagnosis of Parkinson's Disease Exploring Motor Symptoms. MetroXRAINE 2024: 855-860 - 2023
- [j1]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Forecasting technical debt evolution in software systems: an empirical study. Frontiers Comput. Sci. 17(3): 173210 (2023) - [c10]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri:
Anomaly Detection of Medical IoT Traffic Using Machine Learning. DATA 2023: 173-182 - [c9]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities. ENASE 2023: 742-749 - [c8]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques. EUSFLAT/AGOP 2023: 607-619 - [c7]Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato:
Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. ICMLA 2023: 2087-2094 - [c6]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Understanding Compiler Effects on Clone Detection Process. ICSOFT 2023: 345-352 - [c5]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori:
Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. KES 2023: 2866-2875 - 2022
- [c4]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
Using Machine Learning for early prediction of Heart Disease. EAIS 2022: 1-8 - [c3]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. EAIS 2022: 1-8 - [c2]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment. HELMeTO 2022: 536-547 - [c1]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Is There Any Correlation between Refactoring and Design Smell Occurrence? ICSOFT 2022: 129-136
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