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of 2 470
pro vyhledávání: '"A Guyard"'
Autor:
Guyard, Kevin Cedric, Deriaz, Michel
The Foreign Exchange market is a significant market for speculators, characterized by substantial transaction volumes and high volatility. Accurately predicting the directional movement of currency pairs is essential for formulating a sound financial
Externí odkaz:
http://arxiv.org/abs/2409.04471
We consider the resolution of learning problems involving $\ell_0$-regularization via Branch-and-Bound (BnB) algorithms. These methods explore regions of the feasible space of the problem and check whether they do not contain solutions through "pruni
Externí odkaz:
http://arxiv.org/abs/2406.03504
Publikováno v:
PVLDB, 15(11): 3098-3111, 2022
As Spark becomes a common big data analytics platform, its growing complexity makes automatic tuning of numerous parameters critical for performance. Our work on Spark parameter tuning is particularly motivated by two recent trends: Spark's Adaptive
Externí odkaz:
http://arxiv.org/abs/2403.00995
We introduce a new methodology dubbed ``safe peeling'' to accelerate the resolution of L0-regularized least-squares problems via a Branch-and-Bound (BnB) algorithm. Our procedure enables to tighten the convex relaxation considered at each node of the
Externí odkaz:
http://arxiv.org/abs/2302.14471
Autor:
Hélène Guyard, Stéphanie Prost-Boucle, Julien Sudre, Sylvain Moreau, Arnold Imig, Gabrielle Favreau, Valerie Quatela, Remi Clement
Publikováno v:
HardwareX, Vol 21, Iss , Pp e00613- (2025)
Sensors play an important role in both the continuous monitoring and intermittent analyses, which are essential for the study of wastewater treatment plant management and conducting related research. Given the significant environmental impact of the
Externí odkaz:
https://doaj.org/article/fef35923e9a9496c9bd4cb747ebd7bf9
Recently, convolutional auto-encoders (CAE) were introduced for image coding. They achieved performance improvements over the state-of-the-art JPEG2000 method. However, these performances were obtained using massive CAEs featuring a large number of p
Externí odkaz:
http://arxiv.org/abs/2209.04448
In this paper we present a new approach to solve semi-supervised classification tasks for biomedical applications, involving a supervised autoencoder network. We create a network architecture that encodes labels into the latent space of an autoencode
Externí odkaz:
http://arxiv.org/abs/2208.10315
Publikováno v:
Pattern Recognition Volume 132, December 2022,108945
Anomaly detection in time series is a complex task that has been widely studied. In recent years, the ability of unsupervised anomaly detection algorithms has received much attention. This trend has led researchers to compare only learning-based meth
Externí odkaz:
http://arxiv.org/abs/2204.01637
Autor:
Saade, François, Barani, Camille, Guyard, Matthieu, Malatray, Matthieu, Hugon-Vallet, Élisabeth, Schiele, Philippe
Publikováno v:
In Hand Surgery and Rehabilitation December 2024 43(6)
Autor:
Guyard, Hélène, Prost-Boucle, Stéphanie, Sudre, Julien, Moreau, Sylvain, Imig, Arnold, Favreau, Gabrielle, Quatela, Valerie, Clement, Remi
Publikováno v:
In HardwareX March 2025 21