Zobrazeno 1 - 10
of 7 896
pro vyhledávání: '"Massart A."'
Learning the subspace of variation for global optimization of functions with low effective dimension
We propose an algorithmic framework, that employs active subspace techniques, for scalable global optimization of functions with low effective dimension (also referred to as low-rank functions). This proposal replaces the original high-dimensional pr
Externí odkaz:
http://arxiv.org/abs/2401.17825
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 7, Pp 1930-1941 (2024)
Abstract Objective Huntington's disease (HD) is a neurodegenerative disorder characterized by progressive motor, cognitive, and psychiatric symptoms. Our aim here was to identify factors that can be modified to slow disease progression even before th
Externí odkaz:
https://doaj.org/article/e91cc7e24df74c87b0c3eded87198fca
Autor:
Samuel Massart, Mariette Vreugdenhil, Bernhard Bauer-Marschallinger, Claudio Navacchi, Bernhard Raml, Wolfgang Wagner
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
ABSTRACTThe C-band Synthetic Aperture Radar (SAR) on board of the Sentinel-1 satellites have a strong potential to retrieve Surface Soil Moisture (SSM). Using a change detection model to Sentinel-1 backscatter, an SSM product at a kilometre scale res
Externí odkaz:
https://doaj.org/article/183792eb4ccd473e88a8542d53564fdf
In fibrous paper materials, an exposure to a variation in moisture content causes changes in the geometrical and mechanical properties. Such changes are strongly affected by the inter-fibre bonds, which are responsible for the transfer of the hygro-m
Externí odkaz:
http://arxiv.org/abs/2210.05736
Autor:
Isabelle S. Massart, Axell‐Natalie Kouakou, Nathan Pelet, Pascale Lause, Olivier Schakman, Audrey Loumaye, Michel Abou‐Samra, Louise Deldicque, Laure B. Bindels, Sonia M. Brichard, Jean‐Paul Thissen
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 15, Iss 3, Pp 919-933 (2024)
Abstract Background Cancer cachexia is a life‐threatening, inflammation‐driven wasting syndrome that remains untreatable. Adiponectin, the most abundant adipokine, plays an important role in several metabolic processes as well as in inflammation
Externí odkaz:
https://doaj.org/article/0b9792a33b6040ba97dde84ba7b5169d
Autor:
David Saadoun, Eric Vicaut, Valérie Touitou, Jacques Lagier, Frédéric Mouriaux, Pierre-Yves Robert, Antoine Rousseau, Nicolas Schleinitz, Jean-Marie Michot, Loic Guillevin, Matthieu Groh, Antoine Martin, Philippe Blanche, Sébastien Abad, Robin Dhote, Felix Ackermann, Boris Bienvenu, Olivier Galatoire, Sophie Coffin-Pichonnet, Pierre Aucouturier, Françoise Heran, Bertrand Vabres, Ambre La Rosa, Stéphane Tran Ba, Nahla Cucherousset, Neila Sedira, Emmanuel Héron, Aïcha Abbas, Mboup Bassirou, Isabelle Badelon, Mathieu Zmuda, Alain Ducasse, Isabelle Larré, Amélie Brabant-Viau, Jean Luc George, Jean Maalouf, Anne-Laure Fisch, Nathalie Tieulé, Juliette Delmas, Alexandre Vallon, Natahlie Massart, Marie Alexandra Alyanakian, Pierre Olivier Schischmanoff, Nabila Pizzi, Nathalie Kingue-Elessa, Jad Abou Ghantous, Solohaja-Faniaha Dimby
Publikováno v:
BMJ Open Ophthalmology, Vol 9, Iss 1 (2024)
Purpose To better characterise the effects of corticosteroids on the course of pure idiopathic orbital inflammation syndrome (pIOIS).Methods This was a national, multicentre, prospective, non-interventional cohort study (SIOI). Among the 35 patients
Externí odkaz:
https://doaj.org/article/a1aa84fa9aaf43929e0added728940ba
Publikováno v:
In Science of the Total Environment 10 November 2024 950
Autor:
Hermans, Yahroun Fei Long, Grillanda, Nicola, Ehab Moustafa Kamel, Karim, Milani, Gabriele, Massart, Thierry Jacques
Publikováno v:
In Engineering Structures 1 November 2024 318
Autor:
Larion, Ygee, Massart, Thierry J., Díez, Pedro, Chen, Guangjing, Seetharam, Suresh, Zlotnik, Sergio
Publikováno v:
In Finite Elements in Analysis & Design 15 October 2024 239
Positive-unlabeled learning (PU learning) is known as a special case of semi-supervised binary classification where only a fraction of positive examples are labeled. The challenge is then to find the correct classifier despite this lack of informatio
Externí odkaz:
http://arxiv.org/abs/2201.06277