Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Rosanna Turrisi"'
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
IntroductionMachine Learning (ML) has emerged as a promising approach in healthcare, outperforming traditional statistical techniques. However, to establish ML as a reliable tool in clinical practice, adherence to best practices in data handling, and
Externí odkaz:
https://doaj.org/article/ad329e6d638b46b8bae3bbdd50510ea8
Autor:
Sara Mora, Rosanna Turrisi, Lorenzo Chiarella, Alessandro Consales, Laura Tassi, Roberto Mai, Lino Nobili, Annalisa Barla, Gabriele Arnulfo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Epilepsy surgery is an option for people with focal onset drug-resistant (DR) seizures but a delayed or incorrect diagnosis of epileptogenic zone (EZ) location limits its efficacy. Seizure semiological manifestations and their chronological
Externí odkaz:
https://doaj.org/article/da257b554397424ba3a8a130f7f27a0a
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4bb3985183351e1acc5845c657822e8
https://doi.org/10.1109/jbhi.2023.3268729
https://doi.org/10.1109/jbhi.2023.3268729
Autor:
Sara Mora, Rosanna Turrisi, Lorenzo Chiarella, Laura Tassi, Roberto Mai, Lino Nobili, Annalisa Barla, Gabriele Arnulfo
BackgroundDrug-resistant focal epilepsy, defined by failure of two antiepileptic drugs, affects about 30% of patients with epilepsy. Epilepsy surgery may represent an alternative options for this population. However, defining the epileptogenic zone t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d6e5863422ca1aa0676466e3805e71c
https://doi.org/10.1101/2022.11.18.516120
https://doi.org/10.1101/2022.11.18.516120
Autor:
Monica Roascio, Rosanna Turrisi, Dario Arnaldi, Francesco Famà, Pietro Mattioli, Flavio Nobili, Annalisa Barla, Gabriele Arnulfo
Clinical decision support systems based on machine-learning algorithms are largely applied in the context of the diagnosis of neurodegenerative diseases (NDDs). While recent models yield robust classifications in supervised two classes-problems accur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::095b5be3dd7970da891ed2ab3406985a
https://doi.org/10.1101/2022.08.16.504129
https://doi.org/10.1101/2022.08.16.504129
Autor:
Mariachiara Sensi, Rosanna Turrisi, Simone Giulietti, Marco Emanuele, Maura Pugliatti, Leonardo Badino, Arianna Braccia, Luciano Fadiga
This paper introduces a new dysarthric speech command dataset in Italian, called EasyCall corpus. The dataset consists of 21386 audio recordings from 24 healthy and 31 dysarthric speakers, whose individual degree of speech impairment was assessed by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa1297d98c7feab2f11a2f466d17255e
https://hdl.handle.net/11392/2480555
https://hdl.handle.net/11392/2480555
Publikováno v:
SLT
We address the problem of reconstructing articulatory movements, given audio and/or phonetic labels. The scarce availability of multi-speaker articulatory data makes it difficult to learn a reconstruction that generalizes to new speakers and across d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::add35c630fcdad3e1dc2d686937b1294
http://arxiv.org/abs/1809.00938
http://arxiv.org/abs/1809.00938
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9789811014536
A mathematical ecogenetic model of competition type is presented. The system behavior is completely assessed, either analytically when possible or through numerical simulations. No sustained oscillations are possible, while the equilibria of the syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c29e9e644667ffec08ef09ce1b6ca13a
https://doi.org/10.1007/978-981-10-1454-3_11
https://doi.org/10.1007/978-981-10-1454-3_11