Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023. - Angela Lombardi; Maria Luigia Natalia De Bonis; Giuseppe Fasano; Alessia Sportelli; Tommaso Colafiglio; Domenico Lofù; Paolo Sorino; Fedelucio Narducci; Eugenio Di Sciascio; Tommaso Di Noia (CLEF (Working Notes), 2023)

BRAINEX: A Systematic Framework for CNN Models Evaluation and XAI Methods Comparison in Brain Age Prediction. - Giuseppe Fasano; Maria Luigia Natalia De Bonis; Angela Lombardi; Carmelo Ardito; Eugenio Di Sciascio; Tommaso Di Noia (BI (1), 2024)

Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines. - Maria Luigia Natalia De Bonis; Giuseppe Fasano; Angela Lombardi; Carmelo Ardito; Antonio Ferrara 001; Eugenio Di Sciascio; Tommaso Di Noia (Brain Informatics, 2024)

Machine learning classification of motivational states: Insights from EEG analysis of perception and imagery. - Tommaso Colafiglio; Angela Lombardi; Tommaso Di Noia; Maria Luigia Natalia De Bonis; Fedelucio Narducci; Alice Mado Proverbio (Expert Syst. Appl., 2025)