Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Alessandro Verri"'
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:
Carlotta Patrone, Alberto Cella, Chiara Martini, Silvia Pericu, Rosetta Femia, Annalisa Barla, Claudia Porfirione, Matteo Puntoni, Nicola Veronese, Francesca Odone, Niccolò Casiddu, Gian Andrea Rollandi, Alessandro Verri, Alberto Pilotto
Publikováno v:
Geriatric Care, Vol 5, Iss 1 (2019)
Recent studies showed that about the 8% of beds are occupied by patients who experience a delayed hospital discharge (DHD). This is attributed to a delay in the arrangement of home-care assistance or in admission to long-term care facilities. Recentl
Externí odkaz:
https://doaj.org/article/0f41b1e1df7b4cbd873f1a8d117e0d8e
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 3 (2017)
In the framework of non-parametric support estimation, we study the statistical properties of a set estimator defined by means of Kernel Principal Component Analysis. Under a suitable assumption on the kernel, we prove that the algorithm is strongly
Externí odkaz:
https://doaj.org/article/d24e59604ac247f684331162def73547
Autor:
Andrea Trucco, Annalisa Barla, Roberto Bozzano, Sara Pensieri, Alessandro Verri, David Solarna
Publikováno v:
IEEE Journal of Oceanic Engineering. 48:349-364
Autor:
Annalisa Barla, Sara Pensieri, Emanuele Fava, Andrea Trucco, Alessandro Verri, Roberto Bozzano
Publikováno v:
IEEE Journal of Oceanic Engineering. 47:213-225
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Publikováno v:
2021 IEEE 30th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).
Publikováno v:
KDD
The increased availability of multivariate time-series asks for the development of suitable methods able to holistically analyse them. To this aim, we propose a novel flexible method for data-mining, forecasting and causal patterns detection that lev
Publikováno v:
VORTEX@ISSTA
Many software bugs have disruptive consequences, both in financial terms and in loss of life. Software Testing is one widely used approach to detect software bugs and ensure software quality but the testing activity, conducted either manually or usin
Autor:
Annalisa Barla, Mario Alberto Battaglia, Giampaolo Brichetto, Andrea Tacchino, Ludovico Pedullà, Giovanna Konrad, Margherita Monti Bragadin, Samuele Fiorini, Alessandro Verri, Michela Ponzio
Publikováno v:
Neurological Sciences
Machine learning (ML) applied to patient-reported (PROs) and clinical-assessed outcomes (CAOs) could favour a more predictive and personalized medicine. Our aim was to confirm the important role of applying ML to PROs and CAOs of people with relapsin