Debora Montano

22 papers B 5C 6Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Hybrid Approach Integrating Clinical Data and Tomography to Improve Diagnosis of Parkinson's Disease.
ACM Trans. Comput. Heal.
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2025 C conf
An Explainable Model for Waste Cost Prediction: A Study on Linked Open Data in Italy.
ICSOFT
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2025 B conf
Explainability of Technical Debt: An Analysis on the Role of Refactoring in Software Systems.
IJCNN
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2025 B conf
Explainable Approach For Early Diagnosis of Parkinson's Using Audio Tracks.
KES
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2025 — conf
Mining Community Health: Association Rules for the Design of Proximity Care Models.
MetroXRAINE
Lerina Aversano, Martina Iammarino, Antonella Madau, Ilaria Mancino, Debora Montano, Chiara Verdone
2024 B conf
A Machine Learning Approach for the Detection of Thoracic Disease using Chest X-ray reports.
KES
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2024 J jnl
A systematic review on artificial intelligence approaches for smart health devices.
PeerJ Comput. Sci.
Lerina Aversano, Martina Iammarino, Ilaria Mancino, Debora Montano
2024 C conf
Adopting Delta Maintainability Model for Just in Time Bug Prediction.
ICSOFT
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2024 — conf
An Explainable Approach for Early Diagnosis of Parkinson's Disease Exploring Motor Symptoms.
MetroXRAINE
Lerina Aversano, Antonella Madau, Debora Montano
2024 J jnl
Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D.
Sensors
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori
2024 J jnl
Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning.
SN Comput. Sci.
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri
2023 B conf
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities.
ENASE
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2023 C conf
Anomaly Detection of Medical IoT Traffic Using Machine Learning.
DATA
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri
2023 B conf
Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D.
KES
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori
2023 — conf
Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques.
EUSFLAT/AGOP
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2023 J jnl
Forecasting technical debt evolution in software systems: an empirical study.
Frontiers Comput. Sci.
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2023 C conf
Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture.
ICMLA
Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato
2023 C conf
Understanding Compiler Effects on Clone Detection Process.
ICSOFT
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2022 — conf
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces.
EAIS
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022 — conf
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment.
HELMeTO
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022 C conf
Is There Any Correlation between Refactoring and Design Smell Occurrence?
ICSOFT
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2022 — conf
Using Machine Learning for early prediction of Heart Disease.
EAIS
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone