Samuele Fiorini
Samuele Fiorini
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Cited by
Automatic Generation of Synthetic Retinal Fundus Images.
S Fiorini, L Ballerini, E Trucco, A Ruggeri
MIUA, 7-12, 2014
A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes
S Fiorini, A Verri, A Tacchino, M Ponzio, G Brichetto, A Barla
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Discrete changes in glucose metabolism define aging
S Ravera, M Podestą, F Sabatini, M Dagnino, D Cilloni, S Fiorini, A Barla, ...
Scientific reports 9 (1), 1-8, 2019
The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach
G Brichetto, M Monti Bragadin, S Fiorini, MA Battaglia, G Konrad, ...
Neurological sciences 41 (2), 459-462, 2020
Data-driven strategies for robust forecast of continuous glucose monitoring time-series
S Fiorini, C Martini, D Malpassi, R Cordera, D Maggi, A Verri, A Barla
Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual …, 2017
Predicting diabetes second-line therapy initiation in the Australian population via timespan-guided neural attention network
S Fiorini, F Hajati, A Barla, F Girosi
BioRxiv, 529933, 2019
Temporal prediction of multiple sclerosis evolution from patient-centered outcomes
S Fiorini, A Verri, A Barla, A Tacchino, G Brichetto
Proceedings of the 2nd Machine Learning for Healthcare Conference 68, 112-125, 2017
PALLADIO: a parallel framework for robust variable selection in high-dimensional data
M Barbieri, S Fiorini, F Tomasi, A Barla
Python for High-Performance and Scientific Computing (PyHPC), Workshop on, 19-26, 2016
Multiple sclerosis disease course prediction: a machine learning model based on patient reported and clinician assessed outcomes
A Tacchino, S Fiorini, M Ponzio, A Barla, A Verri, MA Battaglia, G Brichetto
ECTRIMS 2017, Paris (FR), 2017
Adenine: A HPC-Oriented Tool for Biological Data Exploration
S Fiorini, F Tomasi, M Squillario, A Barla
International Meeting on Computational Intelligence Methods for …, 2017
A temporal model for multiple sclerosis course evolution
S Fiorini, A Tacchino, G Brichetto, A Verri, A Barla
arXiv preprint arXiv:1612.00615, 2016
Predicting multiple sclerosis disease course with patient centred outcomes (PCOs): a machine learning approach
G Brichetto, S Fiorini, M Ponzio, A Barla, A Verri, A Tacchino
ECTRIMS 2016, London (UK), 2016
Improving disease course detection in multiple sclerosis: an alternative patient-reported outcomes-based strategy
G Brichetto, S Fiorini, A Tacchino, M Ponzio, A Barla, A Verri
Multiple sclerosis journal 21 (4), 513-514, 2015
Automatic generation of Retinal Fundus Image Phantoms: non-vascular regions
S Fiorini
Where Do We Stand in Regularization for Life Science Studies?
V Tozzo, CA Azencott, S Fiorini, E Fava, A Trucco, A Barla
Journal of Computational Biology 29 (3), 213-232, 2022
Switching from Glargine to Degludec is not associated with an overt change in glucose control in a cohort of patients with type 1 diabetes: a CGM analysis
LA Bonabello, D Maggi, S Fiorini, V Tozzo, R Cordera
Acta Diabetologica 55 (6), 637-639, 2018
Challenges in biomedical data science: data-driven solutions to clinical questions
S Fiorini
University of Genoa, 2018
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