BERNARDINI, MICHELE

BERNARDINI, MICHELE  

Dipartimento Ingegneria dell'Informazione  

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Titolo Data di pubblicazione Autore(i) File
An agent-based WCET analysis for top-view person re-identification 1-gen-2018 Paolanti, M.; Placidi, V.; Bernardini, M.; Felicetti, A.; Pietrini, R.; Frontoni, E.
Augmented microscopy for DNA damage quantification: A machine learning tool for environmental, medical and health sciences 1-gen-2019 Bernardini, M.; Ferri, A.; Migliorelli, L.; Moccia, S.; Romeo, L.; Silvestri, S.; Tiano, L.; Mancini, A.
A clinical decision support system for chronic venous insufficiency 1-gen-2017 Calamanti, Chiara; Cenci, Annalisa; Bernardini, Michele; Frontoni, Emanuele; Zingaretti, Primo
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy 1-gen-2021 Bernardini, M.; Romeo, L.; Mancini, A.; Frontoni, E.
A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units 1-gen-2019 Migliorelli, Lucia; Cenci, Annalisa; Bernardini, Michele; Romeo, Luca; Moccia, Sara; Zingaretti, Primo
Cyber Physical Systems for Industry 4.0: Towards Real Time Virtual Reality in Smart Manufacturing 1-gen-2018 Frontoni, Emanuele; Loncarski, Jelena; Pierdicca, Roberto; Bernardini, Michele; Sasso, Michele
A Decision Support System for Diabetes Chronic Care Models based on General Practitioner engagement and EHR data sharing 1-gen-2020 Frontoni, Emanuele; Romeo, Luca; Bernardini, Michele; Moccia, Sara; Migliorelli, Lucia; Paolanti, Marina; Ferri, Alessandro; Misericordia, Paolo; Mancini, Adriano; Zingaretti, Primo
Development of an automatic procedure to mechanically characterize soft tissue materials 1-gen-2016 Innocenti, Bernardo; Lambert, Pierre; Larrieu, Jean Charles; Pianigiani, Silvia; Paolanti, Marina; Bernardini, Michele; Cenci, Annalisa; Frontoni, Emanuele
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine 1-gen-2019 Bernardini, Michele; Romeo, Luca; Misericordia, Paolo; Frontoni, Emanuele
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach 1-gen-2020 Bernardini, M.; Morettini, M.; Romeo, L.; Frontoni, E.; Burattini, L.
Machine Learning approaches in Predictive Medicine using Electronic Health Records data 26-mag-2021 Bernardini, Michele
Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction 1-gen-2018 Calamanti, Chiara; Paolanti, Marina; Romeo, Luca; Bernardini, Michele; Frontoni, Emanuele
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution 1-gen-2021 Bernardini, M.; Romeo, L.; Frontoni, E.; Amini, M.
A sequential deep learning application for recognising human activities in smart homes 1-gen-2019 Liciotti, D.; Bernardini, M.; Romeo, L.; Frontoni, E.
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data 1-gen-2019 Ferri, A.; Rosati, R.; Bernardini, M.; Gabrielli, L.; Casaccia, S.; Romeo, L.; Monteriu, A.; Frontoni, E.
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records 1-gen-2019 Bernardini, M.; Morettini, M.; Romeo, L.; Frontoni, E.; Burattini, L.