Zobrazeno 1 - 10
of 1 189
pro vyhledávání: '"A. Giros"'
Autor:
Cavarec, Fanny, Krauss, Philipp, Witkowski, Tiffany, Broisat, Alexis, Ghezzi, Catherine, de Gois, Stéphanie, Giros, Bruno, Depaulis, Antoine, Deransart, Colin
Publikováno v:
Epilepsia, 2019, 60 (10), pp.2128-2140
Abstract Objective In Genetic Absence Epilepsy Rats From Strasbourg ( GAERS s), epileptogenesis takes place during brain maturation and correlates with increased mRNA expression of D3 dopamine receptors (D3R). Whether these alterations are the conseq
Externí odkaz:
http://arxiv.org/abs/2409.11758
Autor:
M. Cournet, A. Giros, L. Dumas, J. M. Delvit, D. Greslou, F. Languille, G. Blanchet, S. May, J. Michel
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B1, Pp 291-298 (2016)
In the frame of its earth observation missions, CNES created a library called QPEC, and one of its launcher called Medicis. QPEC / Medicis is a sub-pixel two-dimensional stereo matching algorithm that works on an image pair. This tool is a block mat
Externí odkaz:
https://doaj.org/article/128ddb6161f44882b97f10f437767485
Autor:
S. Hosford, C. Proy, A. Giros, A. Eddy, I. Petiteville, C. Ishida, F. Gaetani, S. Frye, S. Zoffoli, J. Danzeglocke
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W3, Pp 815-818 (2015)
Over the course of the last decade, large populations living in vulnerable areas have led to record damages and substantial loss of life in mega-disasters ranging from the deadly Indian Ocean tsunami of 2004 and Haiti earthquake of 2010; the catastro
Externí odkaz:
https://doaj.org/article/e058c77c48da4a3b809ef775ad20a53d
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B3, Pp 569-572 (2012)
ORFEO, the PLEIADES Accompaniment Program, was set up by CNES, the French Space Agency, to prepare, accompany and promote the use and the exploitation of the images acquired by this Very High Resolution optical sensor. It was initiated in 2004 and
Externí odkaz:
https://doaj.org/article/86f1aeb449674cc6b4683fdb169930fc
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B8, Pp 17-20 (2012)
Following the 12th January 2010 earthquake in Haiti, the French Agence Nationale de la Recherche has funded a project named KAL-Haiti which aims at gathering remote sensing imagery as well as in-situ and exogenous data into a knowledge base. This dat
Externí odkaz:
https://doaj.org/article/757872415d7843228d9613f8ac9dd1e4
Autor:
Roman Walle, Anna Petitbon, Giulia R. Fois, Christophe Varin, Enrica Montalban, Lola Hardt, Andrea Contini, Maria Florencia Angelo, Mylène Potier, Rodrigue Ortole, Asma Oummadi, Véronique De Smedt-Peyrusse, Roger A. Adan, Bruno Giros, Francis Chaouloff, Guillaume Ferreira, Alban de Kerchove d’Exaerde, Fabien Ducrocq, François Georges, Pierre Trifilieff
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Accumulating evidence points to dysregulations of the Nucleus Accumbens (NAc) in eating disorders (ED), however its precise contribution to ED symptomatic dimensions remains unclear. Using chemogenetic manipulations in male mice, we found th
Externí odkaz:
https://doaj.org/article/dd0a804b992d4f64bb491a79e353f3d3
Autor:
Rahimian, Reza, Perlman, Kelly, Fakhfouri, Gohar, Mpai, Refilwe, Richard, Vincent R., Hercher, Christa, Penney, Lucy, Davoli, Maria Antonietta, Nagy, Corina, Zahedi, René P., Borchers, Christoph H., Giros, Bruno, Turecki, Gustavo, Mechawar, Naguib
Publikováno v:
In Brain Behavior and Immunity November 2024 122:110-121
Publikováno v:
In Neuroscience and Biobehavioral Reviews December 2024 167
The domain adaptation of satellite images has recently gained an increasing attention to overcome the limited generalization abilities of machine learning models when segmenting large-scale satellite images. Most of the existing approaches seek for a
Externí odkaz:
http://arxiv.org/abs/2005.06216
Domain adaptation for semantic segmentation has recently been actively studied to increase the generalization capabilities of deep learning models. The vast majority of the domain adaptation methods tackle single-source case, where the model trained
Externí odkaz:
http://arxiv.org/abs/2004.06402