Debora Montano

According to our database, Debora Montano authored at least 15 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri

SN Comput. Sci., June, 2024

Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori

Sensors, June, 2024

A systematic review on artificial intelligence approaches for smart health devices.

Lerina Aversano, Martina Iammarino, Ilaria Mancino, Debora Montano

PeerJ Comput. Sci., 2024

Adopting Delta Maintainability Model for Just in Time Bug Prediction.

Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone

Proceedings of the 19th International Conference on Software Technologies, 2024

2023

Forecasting technical debt evolution in software systems: an empirical study.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano

Frontiers Comput. Sci., 2023

Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Understanding Compiler Effects on Clone Detection Process.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano

Proceedings of the 18th International Conference on Software Technologies, 2023

Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture.

Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato

Proceedings of the International Conference on Machine Learning and Applications, 2023

Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone

Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

Anomaly Detection of Medical IoT Traffic Using Machine Learning.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri

Proceedings of the 12th International Conference on Data Science, 2023

2022

Is There Any Correlation between Refactoring and Design Smell Occurrence?

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano

Proceedings of the 17th International Conference on Software Technologies, 2022

An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone

Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

Using Machine Learning for early prediction of Heart Disease.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022