Zobrazeno 1 - 10
of 7 056
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:
Hacène Belbachir, Mohamed Benahmed
Publikováno v:
Revstat Statistical Journal, Vol 22, Iss 3 (2024)
This article studies the problem of conception of a Bayesian single variable sampling plan for Weibull distribution under type II hybrid censoring based on two-sided decision function with a linear random doubt zone. Based on an appropriate loss func
Externí odkaz:
https://doaj.org/article/0b18591463bf4ae79844b76874ef3378
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100739- (2024)
This article presents a compact dual-band Bandpass Filter(BPF) based substrate integrated waveguide(SIW) used for C and X band applications. Complementary split-ring resonators(CSRR) are loaded into the waveguide surface to obtain more advantages of
Externí odkaz:
https://doaj.org/article/33ab6da7a5cd4579b23ce14d196f4b00
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
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