Zobrazeno 1 - 10
of 6 384
pro vyhledávání: '"A Cabanas"'
Modeling of human mobility is critical to address questions in urban planning and transportation, as well as global challenges in sustainability, public health, and economic development. However, our understanding and ability to model mobility flows
Externí odkaz:
http://arxiv.org/abs/2312.11281
Publikováno v:
Proceedings of the CHI Conference on Human Factors in Computing Systems May 2024 Article No 1019 Pages 1 to 22
The literature has shown that combining a few non-Personal Identifiable Information (non-PII) is enough to make a user unique in a dataset including millions of users. This work demonstrates that a combination of a few non-PII items can be activated
Externí odkaz:
http://arxiv.org/abs/2310.10155
This paper presents a novel approach to sound source separation that leverages spatial information obtained during the recording setup. Our method trains a spatial mixing filter using solo passages to capture information about the room impulse respon
Externí odkaz:
http://arxiv.org/abs/2310.05821
Autor:
M. Lothon, F. Gheusi, F. Lohou, V. Pont, S. Soula, C. Jambert, S. Derrien, Y. Bezombes, E. Leclerc, G. Athier, A. Vial, A. Philibert, B. Campistron, F. Saïd, J. Sonke, J. Amestoy, E. Bargain, P. Bosser, D. Boulanger, G. Bret, R. Bodichon, L. Cabanas, G. Canut, J.-B. Estrampes, E. Gardrat, Z. Gomez Kuri, J. Gueffier, F. Guesdon, M. Lopez, O. Masson, P.-Y. Meslin, Y. Meyerfeld, N. Pascal, E. Pique, M. Ramonet, F. Starck, R. Vidal
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 6265-6300 (2024)
The Pyrenean Platform for Observation of the Atmosphere (P2OA) is a coupled plain–mountain instrumented platform in southwestern France. It is composed of two physical sites: the “Pic du Midi” mountaintop observatory (2877 m a.s.l.) and the “
Externí odkaz:
https://doaj.org/article/f3fc5d3914eb4fcdb4515c2f08a32c77
Autor:
Cabanas, Edgar
Publikováno v:
Historical Social Research / Historische Sozialforschung, 2024 Jan 01. 49(3), 30-59.
Externí odkaz:
https://www.jstor.org/stable/27331434
We address the problem of integrating data from multiple, possibly biased, observational and interventional studies, to eventually compute counterfactuals in structural causal models. We start from the case of a single observational dataset affected
Externí odkaz:
http://arxiv.org/abs/2307.16577
We assume to be given structural equations over discrete variables inducing a directed acyclic graph, namely, a structural causal model, together with data about its internal nodes. The question we want to answer is how we can compute bounds for part
Externí odkaz:
http://arxiv.org/abs/2307.08304
We address the problem of integrating data from multiple, possibly biased, observational and interventional studies, to eventually compute counterfactuals in structural causal models. We start from the case of a single observational dataset affected
Externí odkaz:
http://arxiv.org/abs/2212.02932
Autor:
Cabanas-Grandío, Pilar1 (AUTHOR) maria.pilar.cabanas.grandio@sergas.es, González-Melchor, Laila2 (AUTHOR) laila.gonzalez.melchor@sergas.es, Caamaño, María Vázquez3 (AUTHOR) macrisvc@yahoo.es, Windcheid, Emiliano Fernández-Obanza4 (AUTHOR) emiliano.patricio.fernandez-obanza.windscheid@sergas.es, Babarro, Eva González5 (AUTHOR) eva.gonzalez.babarro@sergas.es, Bobín, Olga Durán6 (AUTHOR) odbobin@gmail.com, Portela, Miriam Piñeiro7 (AUTHOR) miriam.pineiro.portela@sergas.es, Delgado, Oscar Prada7 (AUTHOR) oscar.prada.delgado@sergas.es, Teja, Juliana Elices6 (AUTHOR) juliana.elices.teja@sergas.es, Feijoo, Mario Gutiérrez8 (AUTHOR) mario.gutierrez.feijoo@sergas.es, Freire, Evaristo8 (AUTHOR) evaristo.freire.castroseiros@sergas.es, Castro, Oscar Díaz1 (AUTHOR) odiazcastro@hotmail.com, García, Javier Muñiz9 (AUTHOR) javmu@udc.es, García-Seara, Javier2 (AUTHOR) javiergarciaseara@yahoo.es, González-Juanatey, Carlos6 (AUTHOR) carlosjuanatey@gmail.com
Publikováno v:
Journal of Clinical Medicine. Sep2024, Vol. 13 Issue 17, p5283. 12p.
Autor:
Cabañas, José González, Callejo, Patricia, Cuevas, Rubén, Svatberg, Steffen, Torjesen, Tommy, Cuevas, Ángel, Pastor, Antonio, Kotila, Mikko
Publikováno v:
IEEE Transactions on Sustainable Computing, 2023
Energy is today the most critical environmental challenge. The amount of carbon emissions contributing to climate change is significantly influenced by both the production and consumption of energy. Measuring and reducing the energy consumption of se
Externí odkaz:
http://arxiv.org/abs/2211.00071