SCAFURI, UMBERTO
SCAFURI, UMBERTO
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine
2024 DE FALCO, Ivanoe; Della Cioppa, A; Koutny, T; Scafuri, U; Tarantino, E
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction
2023 Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Martin Ubl; Michal Krcma; Umberto Scafuri;Ernesto Tarantino
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes
2023 A. Della Cioppa; I. De Falco; T. Koutny; U. Scafuri; M. Ubl; E. Tarantino
An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models
2022 Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Umberto Scafuri; Ernesto Tarantino; Martin Ubl
Can Different Impacts of Covid-19 on Different Countries Be Explained? a Preliminary Machine Learning Experiment
2022 DE FALCO, Ivanoe; Della Cioppa, Antonio; Scafuri, Umberto; Tarantino, Ernesto
Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment
2022 Ubl, Martin; Koutny, Tomas; Della Cioppa, Antonio; De Falco, Ivanoe; Tarantino, Ernesto; Scafuri, Umberto
Differential evolution to estimate the parameters of a SEIAR model with dynamic social distancing: the case of COVID-19 in Italy
2021 DE FALCO, Ivanoe; Della Cioppa, A; Scafuri, U; Tarantino, E
Grammatical Evolution-based Approach for Extracting Interpretable Glucose-Dynamics Models
2021 I. De Falco; A. Della Cioppa; T. Koutny; U. Scafuri; E. Tarantino; M. Ubl
Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach
2021 De Falco, I; Cioppa, Ad; Marcelli, A; Scafuri, U; Stellaccio, L; Tarantino, E
A Grammatical Evolution Approach for Estimating Blood Glucose Levels
2020 Falco, Id; Scafuri, U; Tarantino, E; Cioppa, Ad; Koutny, T; Krcma, M
Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution
2020 I. De Falco; A. Della Cioppa; U. Scafuri;E. Tarantino
Dynamic Load Balancing Based on Multi-Objective Extremal optimization
2020 De Falco I.; Laskowski E.; Olejnik R.; Scafuri U.; Tarantino E.; Tudruj M.
A mobile personalized tourist guide and its user evaluation
2019 Tarantino, Ernesto; DE FALCO, Ivanoe; Scafuri, Umberto
Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels
2019 T. Koutny; M. Ubl; A. Della Cioppa; I. De Falco; E. Tarantino; U. Scafuri; M. Krcma
De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels
2019 Tomas Koutny; Antonio Della Cioppa; Ivanoe De Falco; Michal Krcma; Ernesto Tarantino;Umberto Scafuri
Distributed Processor Load Balancing Based on Multi-objective Extremal Optimization
2019 DE FALCO, Ivanoe; Laskowski, Eryk; Olejnik, Richard; Scafuri, Umberto; Tarantino, Ernesto; Tudruj, Marek
Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes
2019 De Falco I.; De Pietro G.; Della Cioppa A.; Sannino G.; Scafuri U.; Tarantino E.
Exploiting multi-core and GPU hardware to speed up the registration of range images by means of Differential Evolution
2019 Casella, A; De Falco, I; Della Cioppa, A; Scafuri, U; Tarantino, E
An evolutionary approach for estimating the blood glucose by exploiting interstitial glucose measurements
2018 De Falco, I; Della Cioppa, A; Koutny, T; Krcma, M; Scafuri, U; Tarantino, E
An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives
2018 I. De Falco; A. Della Cioppa; A. Giuliano; T. Koutny; M. Krcma; U. Scafuri; E. Tarantino