Michele Bernardini

15 papers Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Machine Learning-Based Clinical Decision Support System for Hepatic Fibrosis Risk Prediction in General Practice.
ACM Trans. Comput. Heal.
Michele Bernardini, Mariachiara Di Cosmo, Gaia Barone, Luca Romeo, Emanuele Frontoni
2026 J jnl
Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression.
Appl. Soft Comput.
Antonio Manuel Gómez-Orellana, Michele Bernardini, Rafael Ayllón-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Luca Romeo
2025 — conf
Federated Learning Towards the Unknown: A Deep Dive Into Diabetic Retinopathy Prediction from Real-World EHR Structured Data on Unseen Diabetic Centers.
ECML/PKDD (9)
Alessandro Cacciatore, Mariachiara Di Cosmo, Emanuele Frontoni, Michele Bernardini
2023 J jnl
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.
Comput. Biol. Medicine
Michele Bernardini, Anastasiia Doinychko, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini
2021 J jnl
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy.
IEEE Access
Michele Bernardini, Luca Romeo, Adriano Mancini, Emanuele Frontoni
2021 J jnl
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution.
IEEE J. Biomed. Health Informatics
Michele Bernardini, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini
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
2020 J jnl
A sequential deep learning application for recognising human activities in smart homes.
Neurocomputing
Daniele Liciotti, Michele Bernardini, Luca Romeo, Emanuele Frontoni
2020 J jnl
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine.
IEEE J. Biomed. Health Informatics
Michele Bernardini, Luca Romeo, Paolo Misericordia, Emanuele Frontoni
2020 J jnl
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach.
Artif. Intell. Medicine
Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini
2019 — conf
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data.
ISCT
Alessandro Ferri, Riccardo Rosati, Michele Bernardini, Leonardo Gabrielli, Sara Casaccia, Luca Romeo, Andrea Monteriù, Emanuele Frontoni
2019 J jnl
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.
Comput. Biol. Medicine
Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini
2018 — conf
An Agent Based WCET Analysis for Top-View Person Re-Identification.
RTcMAS@IJCAI
Marina Paolanti, Valerio Placidi, Michele Bernardini, Andrea Felicetti, Rocco Pietrini, Emanuele Frontoni
2018 — conf
Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing.
AVR (2)
Emanuele Frontoni, Jelena Loncarski, Roberto Pierdicca, Michele Bernardini, Michele Sasso
2018 — conf
Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction.
MESA
Chiara Calamanti, Marina Paolanti, Luca Romeo, Michele Bernardini, Emanuele Frontoni