Thyroid Disease Treatment prediction with machine learning approaches. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Paolo Emidio Macchia; Immacolata Cristina Nettore; Chiara Verdone (KES, 2021)

Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy. - Lerina Aversano; Mario Luca Bernardi; Vincenzo Calgano; Marta Cimitile; Concetta Esposito; Martina Iammarino; Marco Pisco; Sara Spaziani; Chiara Verdone (DeLTA, 2022)

Using Machine Learning for early prediction of Heart Disease. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano; Chiara Verdone (EAIS, 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 (EAIS, 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 (HELMeTO, 2022)

Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (IJCNN, 2022)

An enhanced UNet variant for Effective Lung Cancer Detection. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (IJCNN, 2022)

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 Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano; Chiara Verdone (EUSFLAT/AGOP, 2023)

Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori; Chiara Verdone (EUSFLAT/AGOP, 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)

Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Andrea Cusano; Martina Iammarino; Marco Pisco; Sara Spaziani; Chiara Verdone (MetroXRAINE, 2023)

Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (Appl. Soft Comput., 2023)

A data-aware explainable deep learning approach for next activity prediction. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (Eng. Appl. Artif. Intell., 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)

Raman Spectroscopy of Cancer Cells: An Explainable Classification Model. - Andrea Cusano; Martina Iammarino; Marco Pisco; Sara Spaziani; Chiara Verdone (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)