Michele Bernardini

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Multiple Instance

Machine Learning

Electronic Health Records

Decision Support System

Top Venues

IEEE J. Biomed. Health Informatics

Comput. Biol. Medicine

Artif. Intell. Medicine

Publications

Michele Bernardini, Anastasiia Doinychko, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets. Comput. Biol. Medicine 163 (2023)
Michele Bernardini, Luca Romeo, Adriano Mancini, Emanuele Frontoni
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy. IEEE Access 9 (2021)
Michele Bernardini, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Michele Bernardini, Luca Romeo, Paolo Misericordia, Emanuele Frontoni
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine. IEEE J. Biomed. Health Informatics 24 (1) (2020)
Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach. Artif. Intell. Medicine 105 (2020)
Daniele Liciotti, Michele Bernardini, Luca Romeo, Emanuele Frontoni
A sequential deep learning application for recognising human activities in smart homes. Neurocomputing 396 (2020)
Alessandro Ferri, Riccardo Rosati, Michele Bernardini, Leonardo Gabrielli, Sara Casaccia, Luca Romeo, Andrea Monteriù, Emanuele Frontoni
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data. ISCT (2019)
Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records. Comput. Biol. Medicine 112 (2019)
Emanuele Frontoni, Jelena Loncarski, Roberto Pierdicca, Michele Bernardini, Michele Sasso
Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing. AVR (2) (2018)
Marina Paolanti, Valerio Placidi, Michele Bernardini, Andrea Felicetti, Rocco Pietrini, Emanuele Frontoni
An Agent Based WCET Analysis for Top-View Person Re-Identification. RTcMAS@IJCAI (2018)
Chiara Calamanti, Marina Paolanti, Luca Romeo, Michele Bernardini, Emanuele Frontoni
Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction. MESA (2018)