Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing. - Emanuele Frontoni; Jelena Loncarski; Roberto Pierdicca; Michele Bernardini; Michele Sasso (AVR (2), 2018)

An Agent Based WCET Analysis for Top-View Person Re-Identification. - Marina Paolanti; Valerio Placidi; Michele Bernardini; Andrea Felicetti; Rocco Pietrini; Emanuele Frontoni (RTcMAS@IJCAI, 2018)

Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction. - Chiara Calamanti; Marina Paolanti; Luca Romeo; Michele Bernardini; Emanuele Frontoni (MESA, 2018)

Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data. - Alessandro Ferri; Riccardo Rosati 002; Michele Bernardini; Leonardo Gabrielli; Sara Casaccia; Luca Romeo; Andrea Monteriù; Emanuele Frontoni (ISCT, 2019)

TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records. - Michele Bernardini; Micaela Morettini; Luca Romeo; Emanuele Frontoni; Laura Burattini (Comput. Biol. Medicine, 2019)

Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach. - Michele Bernardini; Micaela Morettini; Luca Romeo; Emanuele Frontoni; Laura Burattini (Artif. Intell. Medicine, 2020)

A sequential deep learning application for recognising human activities in smart homes. - Daniele Liciotti; Michele Bernardini; Luca Romeo; Emanuele Frontoni (Neurocomputing, 2020)

Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine. - Michele Bernardini; Luca Romeo; Paolo Misericordia; Emanuele Frontoni (IEEE J. Biomed. Health Informatics, 2020)

A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy. - Michele Bernardini; Luca Romeo; Adriano Mancini; Emanuele Frontoni (IEEE Access, 2021)

A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. - Michele Bernardini; Luca Romeo; Emanuele Frontoni; Massih-Reza Amini (IEEE J. Biomed. Health Informatics, 2021)

Machine Learning approaches in Predictive Medicine using Electronic Health Records data. (Approches d'apprentissage automatique en médecine prédictive à l'aide des données des dossiers médicaux électroniques). - Michele Bernardini (2021)

A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets. - Michele Bernardini; Anastasiia Doinychko; Luca Romeo; Emanuele Frontoni; Massih-Reza Amini (Comput. Biol. Medicine, 2023)