Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Verri Alessandro"'
We consider the problem of olfactory searches in a turbulent environment. We focus on agents that respond solely to odor stimuli, with no access to spatial perception nor prior information about the odor location. We ask whether navigation strategies
Externí odkaz:
http://arxiv.org/abs/2404.17495
Machine 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 regarding data handling, experime
Externí odkaz:
http://arxiv.org/abs/2309.07192
Autor:
Lagomarsino-Oneto, Daniele, Meanti, Giacomo, Pagliana, Nicolò, Verri, Alessandro, Mazzino, Andrea, Rosasco, Lorenzo, Seminara, Agnese
The ability to predict wind is crucial for both energy production and weather forecasting. Mechanistic models that form the basis of traditional forecasting perform poorly near the ground. In this paper, we take an alternative data-driven approach ba
Externí odkaz:
http://arxiv.org/abs/2204.00495
Autor:
Fardin Paolo, Barla Annalisa, Mosci Sofia, Rosasco Lorenzo, Verri Alessandro, Versteeg Rogier, Caron Huib N, Molenaar Jan J, Øra Ingrid, Eva Alessandra, Puppo Maura, Varesio Luigi
Publikováno v:
Molecular Cancer, Vol 9, Iss 1, p 185 (2010)
Abstract Background Hypoxia is a condition of low oxygen tension occurring in the tumor microenvironment and it is related to poor prognosis in human cancer. To examine the relationship between hypoxia and neuroblastoma, we generated and tested an in
Externí odkaz:
https://doaj.org/article/b99f77aa19e84c62aea98eb9c9e95525
Publikováno v:
BMC Genomics, Vol 10, Iss 1, p 474 (2009)
Abstract Background Gene expression signatures are clusters of genes discriminating different statuses of the cells and their definition is critical for understanding the molecular bases of diseases. The identification of a gene signature is complica
Externí odkaz:
https://doaj.org/article/c3da405afc704381959bc40a319fe0f4
Akademický článek
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Publikováno v:
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2018). ACM, New York, NY, USA, 2338-2346
In many applications of finance, biology and sociology, complex systems involve entities interacting with each other. These processes have the peculiarity of evolving over time and of comprising latent factors, which influence the system without bein
Externí odkaz:
http://arxiv.org/abs/1802.03987
Multiple Sclerosis is a degenerative condition of the central nervous system that affects nearly 2.5 million of individuals in terms of their physical, cognitive, psychological and social capabilities. Researchers are currently investigating on the u
Externí odkaz:
http://arxiv.org/abs/1612.00615
Although psychological research indicates that bodily expressions convey important affective information, to date research in emotion recognition focused mainly on facial expression or voice analysis. In this paper we propose an approach to realtime
Externí odkaz:
http://arxiv.org/abs/1402.5047
We consider a regularized least squares problem, with regularization by structured sparsity-inducing norms, which extend the usual $\ell_1$ and the group lasso penalty, by allowing the subsets to overlap. Such regularizations lead to nonsmooth proble
Externí odkaz:
http://arxiv.org/abs/1209.0368