Zobrazeno 1 - 10
of 1 817
pro vyhledávání: '"Poux, A."'
Publikováno v:
21st International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics?LISBON | PORTUGAL ?JULY 8 -- 11, 2024, Jul 2024, Lisbonne, Portugal
We have developed a convolutional neural network (CNN) to reconstruct the shape of irregular rough particles from their interferometric images. The CNN is based on a UNET architecture with residual block modules. The database has been constructed usi
Externí odkaz:
http://arxiv.org/abs/2408.03327
Autor:
Lai, Po-Ting, Coudert, Elisabeth, Aimo, Lucila, Axelsen, Kristian, Breuza, Lionel, de Castro, Edouard, Feuermann, Marc, Morgat, Anne, Pourcel, Lucille, Pedruzzi, Ivo, Poux, Sylvain, Redaschi, Nicole, Rivoire, Catherine, Sveshnikova, Anastasia, Wei, Chih-Hsuan, Leaman, Robert, Luo, Ling, Lu, Zhiyong, Bridge, Alan
Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED, for Enzym
Externí odkaz:
http://arxiv.org/abs/2404.14209
Autor:
Po-Ting Lai, Elisabeth Coudert, Lucila Aimo, Kristian Axelsen, Lionel Breuza, Edouard de Castro, Marc Feuermann, Anne Morgat, Lucille Pourcel, Ivo Pedruzzi, Sylvain Poux, Nicole Redaschi, Catherine Rivoire, Anastasia Sveshnikova, Chih-Hsuan Wei, Robert Leaman, Ling Luo, Zhiyong Lu, Alan Bridge
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-19 (2024)
Abstract Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED,
Externí odkaz:
https://doaj.org/article/b9a57f68dd5d490c87328b11d28da642
Most real-world networks evolve over time. Existing literature proposes models for dynamic networks that are either unlabeled or assumed to have a single membership structure. On the other hand, a new family of Mixed Membership Stochastic Block Model
Externí odkaz:
http://arxiv.org/abs/2304.05894
Information spread on networks can be efficiently modeled by considering three features: documents' content, time of publication relative to other publications, and position of the spreader in the network. Most previous works model up to two of those
Externí odkaz:
http://arxiv.org/abs/2212.05996
The publication time of a document carries a relevant information about its semantic content. The Dirichlet-Hawkes process has been proposed to jointly model textual information and publication dynamics. This approach has been used with success in se
Externí odkaz:
http://arxiv.org/abs/2212.05995
Autor:
Audrey Le Veve, Mathieu Genete, Christelle Lepers-Blassiau, Chloé Ponitzki, Céline Poux, Xavier Vekemans, Eleonore Durand, Vincent Castric
Publikováno v:
eLife, Vol 13 (2024)
The long-term balancing selection acting on mating types or sex-determining genes is expected to lead to the accumulation of deleterious mutations in the tightly linked chromosomal segments that are locally ‘sheltered’ from purifying selection. H
Externí odkaz:
https://doaj.org/article/e40db4f8fe114405a2e37e58a3788cb0
Autor:
Poux-Médard, Gaël
Since the development of writing 5000 years ago, human-generated data gets produced at an ever-increasing pace. Classical archival methods aimed at easing information retrieval. Nowadays, archiving is not enough anymore. The amount of data that gets
Externí odkaz:
http://arxiv.org/abs/2209.08026
Publikováno v:
2022 Complex Networks and their Applications XI
Most models of information diffusion online rely on the assumption that pieces of information spread independently from each other. However, several works pointed out the necessity of investigating the role of interactions in real-world processes, an
Externí odkaz:
http://arxiv.org/abs/2209.07816
Publikováno v:
ICDM 2022 - IEEE International Conference on Data Mining 2022
Last years have seen a regain of interest for the use of stochastic block modeling (SBM) in recommender systems. These models are seen as a flexible alternative to tensor decomposition techniques that are able to handle labeled data. Recent works pro
Externí odkaz:
http://arxiv.org/abs/2209.07813