Zobrazeno 1 - 10
of 1 065
pro vyhledávání: '"A. Mitiche"'
Publikováno v:
ENP Engineering Science Journal, Vol 4, Iss 1, Pp 7-14 (2024)
Research in the field of biometrics is constantly expanding. Numerous studies have been carried out to develop different techniques with the aim of ensuring reliable and efficient recognition systems. Of our five senses, vision takes up the most of t
Externí odkaz:
https://doaj.org/article/b1f93ab826af4358a18a7a246975fb54
We introduce a Parametric Information Maximization (PIM) model for the Generalized Category Discovery (GCD) problem. Specifically, we propose a bi-level optimization formulation, which explores a parameterized family of objective functions, each eval
Externí odkaz:
http://arxiv.org/abs/2212.00334
Autor:
Raymond, Nicolas, Caru, Maxime, Laribi, Hakima, Mitiche, Mehdi, Marcil, Valérie, Krajinovic, Maja, Curnier, Daniel, Sinnett, Daniel, Vallières, Martin
Acute lymphoblastic leukemia is the most frequent pediatric cancer. Approximately two third of survivors develop one or more health complications known as late adverse effects following their treatments. The existing measures offered to patients duri
Externí odkaz:
http://arxiv.org/abs/2211.13188
We explore clustering the softmax predictions of deep neural networks and introduce a novel probabilistic clustering method, referred to as k-sBetas. In the general context of clustering discrete distributions, the existing methods focused on explori
Externí odkaz:
http://arxiv.org/abs/2208.00287
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
The ability to predict the occurrence of an epileptic seizure is a safeguard against patient injury and health complications. However, a major challenge in seizure prediction arises from the significant variability observed in patient data. Common pa
Externí odkaz:
https://doaj.org/article/7230a94cd5124671bdb3399c58a85362
Autor:
Abid, M., Khabou, A., Ouakrim, Y., Watel, H., Chemkhi, S., Mitiche, A., Benazza-Benyahia, A., Mezghani, N.
Human activity recognition (HAR) by wearable sensor devices embedded in the Internet of things (IOT) can play a significant role in remote health monitoring and emergency notification, to provide healthcare of higher standards. The purpose of this st
Externí odkaz:
http://arxiv.org/abs/2103.01859
In this work we define and analyze the bilinear models which replace the conventional linear operation used in many building blocks of machine learning (ML). The main idea is to devise the ML algorithms which are adapted to the objects they treat. In
Externí odkaz:
http://arxiv.org/abs/1912.03354
Publikováno v:
In Expert Systems With Applications 1 December 2023 232
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 12, Iss 3, Pp 8712-8717 (2022)
This paper introduces a new algorithm for reducing large dimensional second-order dynamic systems through the Second Order Arnold Reduction (SOAR) procedure, with a stopping criterion to select an acceptable good order for the reduced model based on
Externí odkaz:
https://doaj.org/article/17e74719b51a4426b1f1aa19b40ffbe5
In the context of recent deep clustering studies, discriminative models dominate the literature and report the most competitive performances. These models learn a deep discriminative neural network classifier in which the labels are latent. Typically
Externí odkaz:
http://arxiv.org/abs/1810.04246