Zobrazeno 1 - 10
of 2 552
pro vyhledávání: '"Belbachir, A."'
Autor:
Lamers, Christiaan, Vidal, Rene, Belbachir, Nabil, van Stein, Niki, Baeck, Thomas, Giampouras, Paris
We consider the problem of learning multiple tasks in a continual learning setting in which data from different tasks is presented to the learner in a streaming fashion. A key challenge in this setting is the so-called "catastrophic forgetting proble
Externí odkaz:
http://arxiv.org/abs/2309.12078
Building segmentation is essential in infrastructure development, population management, and geological observations. This article targets shallow models due to their interpretable nature to assess the presence of LiDAR data for supervised segmentati
Externí odkaz:
http://arxiv.org/abs/2309.12027
There are many ways of interpreting the world and they are highly interdependent. We exploit such complex dependencies and introduce a powerful multi-task hypergraph, in which every node is a task and different paths through the hypergraph reaching a
Externí odkaz:
http://arxiv.org/abs/2308.11021
Autor:
Marcu, Alina, Pirvu, Mihai, Costea, Dragos, Haller, Emanuela, Slusanschi, Emil, Belbachir, Ahmed Nabil, Sukthankar, Rahul, Leordeanu, Marius
We present a method for learning multiple scene representations given a small labeled set, by exploiting the relationships between such representations in the form of a multi-task hypergraph. We also show how we can use the hypergraph to improve a po
Externí odkaz:
http://arxiv.org/abs/2308.07615
Autor:
Nassima Belaggoun, Hacène Belbachir
Publikováno v:
Contributions to Mathematics, Vol 9, Pp 46-55 (2024)
Externí odkaz:
https://doaj.org/article/fc7c20f03a184aba9eec0ff351133bfc
Autor:
Mesgaribarzi Niusha, Djenouri Youcef, Belbachir Ahmed Nabil, Michalak Tomasz, Srivastava Gautam
Publikováno v:
Nanotechnology Reviews, Vol 13, Iss 1, Pp 992-8 (2024)
Combining deep learning (DL) with nanotechnology holds promise for transforming key facets of nanoscience and technology. This synergy could pave the way for groundbreaking advancements in the creation of novel materials, devices, and applications, u
Externí odkaz:
https://doaj.org/article/b22aee55d8eb4e958a40abdc43907172
Autor:
Khaoula Balili, Nissrine Louhab, Latifa Adarmouch, Mohamed Chraa, Abdelhamid Hachimi, Anass Belbachir, Najib Kissani
Publikováno v:
The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, Vol 60, Iss 1, Pp 1-9 (2024)
Abstract Background Specific treatment for Guillain–Barre syndrome is based on plasma exchange and intravenous immunoglobulin (IvIg). In developing countries such as Morocco, we are often confronted with constraints in terms of price and availabili
Externí odkaz:
https://doaj.org/article/70459e1a773b43a3ad692fc984c05d20
We propose an augmentation policy for Contrastive Self-Supervised Learning (SSL) in the form of an already established Salient Image Segmentation technique entitled Global Contrast based Salient Region Detection. This detection technique, which had b
Externí odkaz:
http://arxiv.org/abs/2210.16776
Autor:
Belbachir, Hacène, Mehiri, El-Mehdi
In the Tower of Hanoi problem, there is six types of moves between the three pegs. The main purpose of the present paper is to find out the number of each of these six elementary moves in the optimal sequence of moves. We present a recursive function
Externí odkaz:
http://arxiv.org/abs/2210.08657
Autor:
Lu Ren, James W.S. Jahng, Nadjet Belbachir, Zachary Cook, Gabriela C. Rivero, Marco V. Perez, Joseph C. Wu
Publikováno v:
Stem Cell Research, Vol 78, Iss , Pp 103443- (2024)
Long QT Syndrome (LQTS) is a genetic heart disorder that can induce cardiac arrhythmias. The most prevalent subtype, LQT1, stems from rare variants in the KCNQ1 gene. Utilizing induced pluripotent stem cells (iPSCs) enables detailed cellular studies
Externí odkaz:
https://doaj.org/article/de71c1b3b7b340e2afa8616a8ec67386