Zobrazeno 1 - 10
of 14 220
pro vyhledávání: '"Montesano"'
Autor:
Guetiya Wadoum RE, Sevalie S, Baimba Kargbo M, Clarke A, Bangura S, Kargbo M, Sesay HM, Kamara AH, Bangura J, Kamara AF, Allieu S, Rogers H, Mattei M, Colizzi V, Montesano C, Momoh EJJ
Publikováno v:
Journal of Blood Medicine, Vol Volume 14, Pp 119-132 (2023)
Raoul Emeric Guetiya Wadoum,1,* Stephen Sevalie,2,* Maurice Baimba Kargbo,3 Andrew Clarke,4,5 Sherry Bangura,6 Mariatu Kargbo,6 Hawa Mariama Sesay,7 Abdul H Kamara,6 Jamil Bangura,6 Alie F Kamara,6 Sophie Allieu,1 Hassan Rogers,1 Maurizio Mat
Externí odkaz:
https://doaj.org/article/4b0c9c1bdf8a48fc918be25daedb8f9a
Autor:
Guetiya Wadoum RE, Sevalie S, Minutolo A, Clarke A, Russo G, Colizzi V, Mattei M, Montesano C
Publikováno v:
Risk Management and Healthcare Policy, Vol Volume 14, Pp 4923-4930 (2021)
Raoul Emeric Guetiya Wadoum,1 Stephen Sevalie,2 Antonella Minutolo,3 Andrew Clarke,4,5 Gianluca Russo,6 Vittorio Colizzi,7 Maurizio Mattei,8 Carla Montesano8 1Department of Public Health, Microbiology and Immunology, Ernest Bai Koroma University of S
Externí odkaz:
https://doaj.org/article/e672b29c43e546c59acdc5662a859881
Publikováno v:
Clinical Ophthalmology, Vol Volume 15, Pp 4073-4079 (2021)
Davide Allegrini,1 Raffaele Raimondi,2 Giovanni Montesano,3 Alfredo Borgia,2 Tania Sorrentino,2 Panagiotis Tsoutsanis,2 Mario R Romano1,2 1Eye Center, Humanitas, Bergamo, Italy; 2Department of Biomedical Sciences, Humanitas University, Milano, Italy;
Externí odkaz:
https://doaj.org/article/858c4ff36d404093b285de3b8f33c482
Autor:
di Montesano, Sebastiano Cultrera, Draganov, Ondrej, Edelsbrunner, Herbert, Saghafian, Morteza
Exploring the shape of point configurations has been a key driver in the evolution of TDA (short for topological data analysis) since its infancy. This survey illustrates the recent efforts to broaden these ideas to model spatial interactions among m
Externí odkaz:
http://arxiv.org/abs/2406.04102
In numerous fields, dynamic time series data require continuous updates, necessitating efficient data processing techniques for accurate analysis. This paper examines the banana tree data structure, specifically designed to efficiently maintain persi
Externí odkaz:
http://arxiv.org/abs/2405.17920
Autor:
Paz C, Aguilera M, Salla M, Compañ V, Medina JC, Bados A, García-Grau E, Castel A, Cañete Crespillo J, Montesano A, Medeiros-Ferreira L, Feixas G
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol Volume 16, Pp 301-311 (2020)
Clara Paz,1 Mari Aguilera,2 Marta Salla,3 Victoria Compañ,3 Joan C Medina,3,4 Arturo Bados,3 Eugeni García-Grau,3 Antoni Castel,5 José Cañete Crespillo,6 Adrián Montesano,7 Leticia Medeiros-Ferreira,8 Guillem Feixas3,4 1School of Psychology, Uni
Externí odkaz:
https://doaj.org/article/1c84ffc60f91483fafc1b0400d6d7ed8
Autor:
Montesano, Gabrielle
Ayant comme première langue apprise ou d’usage le français, les élèves francophones issu·es de l’immigration récente (EFIIR) sont souvent directement inclus·es en classe ordinaire dans le niveau scolaire de leur groupe d’âge (MELS, 2014
Externí odkaz:
http://hdl.handle.net/1866/32620
Autor:
Plou, Carlos, Gallego, Nerea, Sabater, Alberto, Montijano, Eduardo, Urcola, Pablo, Montesano, Luis, Martinez-Cantin, Ruben, Murillo, Ana C.
Event cameras are a promising technology for activity recognition in dark environments due to their unique properties. However, real event camera datasets under low-lighting conditions are still scarce, which also limits the number of approaches to s
Externí odkaz:
http://arxiv.org/abs/2404.01801
Autor:
di Montesano, Sebastiano Cultrera, Draganov, Ondřej, Edelsbrunner, Herbert, Saghafian, Morteza
Given a finite set, $A \subseteq \mathbb{R}^2$, and a subset, $B \subseteq A$, the \emph{MST-ratio} is the combined length of the minimum spanning trees of $B$ and $A \setminus B$ divided by the length of the minimum spanning tree of $A$. The questio
Externí odkaz:
http://arxiv.org/abs/2403.10204
Publikováno v:
Published in proceedings of the IEEE ICRA 2010
We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using Recursive Least Squares (RLS) estimation, which outperforms gradient metho
Externí odkaz:
http://arxiv.org/abs/2402.06067