Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Antonella Madau; Chiara Verdone (DeLTA, 2023)

An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Antonella Madau; Chiara Verdone (DeLTA, 2023)

Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Antonella Madau; Chiara Verdone (KES, 2023)

Adopting Delta Maintainability Model for Just in Time Bug Prediction. - Lerina Aversano; Martina Iammarino; Antonella Madau; Debora Montano; Chiara Verdone (ICSOFT, 2024)

A Machine Learning Approach for the Detection of Thoracic Disease using Chest X-ray reports. - Lerina Aversano; Martina Iammarino; Antonella Madau; Debora Montano; Chiara Verdone (KES, 2024)

An Explainable Approach for Early Diagnosis of Parkinson's Disease Exploring Motor Symptoms. - Lerina Aversano; Antonella Madau; Debora Montano (MetroXRAINE, 2024)

An Explainable Approach to Characterize Heart Diseases Using ECG Images. - Francesco Denaro; Antonella Madau; Chiara Martini; Riccardo Pecori (MetroXRAINE, 2024)

An Explainable Model for Waste Cost Prediction: A Study on Linked Open Data in Italy. - Lerina Aversano; Martina Iammarino; Antonella Madau; Debora Montano; Chiara Verdone (ICSOFT, 2025)

What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction. - Lerina Aversano; Martina Iammarino; Antonella Madau; Giuseppe Pirlo; Gianfranco Semeraro (IEEE Open J. Comput. Soc., 2025)

Process mining applications in healthcare: a systematic literature review. - Lerina Aversano; Martina Iammarino; Antonella Madau; Giuseppe Pirlo; Gianfranco Semeraro (PeerJ Comput. Sci., 2025)