Personal and Sensitive Data in the e-Health-IoT Universe. - Fiorella Guadagni; Noemi Scarpato; Patrizia Ferroni; Grazia D'Ottavi; Fernando Boavida; Mario Roselli; Graziano Garrisi; Andrea Lisi (IoT 360 (2), 2015)

RISK: A Random Optimization Interactive System Based on Kernel Learning for Predicting Breast Cancer Disease Progression. - Fiorella Guadagni; Fabio Massimo Zanzotto; Noemi Scarpato; Alessandro Rullo; Silvia Riondino; Patrizia Ferroni; Mario Roselli (IWBBIO (1), 2017)

When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey. - Antonio-Jesús Banegas-Luna; Jorge Peña-García; Adrian Iftene; Fiorella Guadagni; Patrizia Ferroni; Noemi Scarpato; Fabio Massimo Zanzotto; Andrés Bueno-Crespo; Horacio Pérez Sánchez (CoRR, 2020)

XAI Unveiled: Revealing the Potential of Explainable AI in Medicine: A Systematic Review. - Noemi Scarpato; Patrizia Ferroni; Fiorella Guadagni (IEEE Access, 2024)

Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients. - Noemi Scarpato; Silvia Riondino; Aria Nourbakhsh; Mario Roselli; Patrizia Ferroni; Fiorella Guadagni; Fabio Massimo Zanzotto (Expert Syst. Appl., 2024)

Evaluating Explainable Machine Learning Models for Clinicians. - Noemi Scarpato; Aria Nourbakhsh; Patrizia Ferroni; Silvia Riondino; Mario Roselli; Francesca Fallucchi; Piero Barbanti; Fiorella Guadagni; Fabio Massimo Zanzotto (Cogn. Comput., 2024)