Debora Montano

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Anomaly Detection

Software Systems

Top Venues

Publications

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) (2024)
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) (2024)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
Understanding Compiler Effects on Clone Detection Process. ICSOFT (2023)
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)
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)
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)
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) (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri
Anomaly Detection of Medical IoT Traffic Using Machine Learning. DATA (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori
Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. KES (2023)
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)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
Is There Any Correlation between Refactoring and Design Smell Occurrence? ICSOFT (2022)
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)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
Using Machine Learning for early prediction of Heart Disease. EAIS (2022)