Zobrazeno 1 - 10
of 4 963
pro vyhledávání: '"Zekri AN"'
Autor:
Benechehab, Abdelhakim, Hili, Youssef Attia El, Odonnat, Ambroise, Zekri, Oussama, Thomas, Albert, Paolo, Giuseppe, Filippone, Maurizio, Redko, Ievgen, Kégl, Balázs
The emerging zero-shot capabilities of Large Language Models (LLMs) have led to their applications in areas extending well beyond natural language processing tasks. In reinforcement learning, while LLMs have been extensively used in text-based enviro
Externí odkaz:
http://arxiv.org/abs/2410.11711
Autor:
Zekri, Oussama, Odonnat, Ambroise, Benechehab, Abdelhakim, Bleistein, Linus, Boullé, Nicolas, Redko, Ievgen
Large language models (LLMs) have proven to be remarkably efficient, both across a wide range of natural language processing tasks and well beyond them. However, a comprehensive theoretical analysis of the origins of their impressive performance rema
Externí odkaz:
http://arxiv.org/abs/2410.02724
Publikováno v:
Journal of Inflammation Research, Vol Volume 13, Pp 1245-1259 (2020)
Mona S Abdellateif,1 Salem E Salem,2 Doaa M Badr,3 Sabry Shaarawy,1 Marwa M Hussein,2 Abdel-Rahman N Zekri,4 Mariam A Fouad3 1Medical Biochemistry and Molecular Biology, Cancer Biology Department, National Cancer Institute, Cairo University, Cairo, E
Externí odkaz:
https://doaj.org/article/51f40735f2484af28b6d63e16381923b
Large-language models are notoriously famous for their impressive performance across a wide range of tasks. One surprising example of such impressive performance is a recently identified capacity of LLMs to understand the governing principles of dyna
Externí odkaz:
http://arxiv.org/abs/2408.01736
Autor:
Ilona Hagelstein, Laura Wessling, Alexander Rochwarger, Latifa Zekri, Boris Klimovich, Christian M. Tegeler, Gundram Jung, Christian M. Schürch, Helmut R. Salih, Martina S. Lutz
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background Breast cancer (BC) is the most common malignancy in women. Immunotherapy has revolutionized treatment options in many malignancies, and the introduction of immune checkpoint inhibition yielded beneficial results also in BC. Howeve
Externí odkaz:
https://doaj.org/article/4fe2b27d65564a37932f57ac8d6d6e06
Autor:
Ghassen Gader, Skander Guediche, Ines Moussa, Sinda Ben Zekri, Mohamed Badri, Ahmed Harbaoui, Ihsèn Zammel
Publikováno v:
Radiology Case Reports, Vol 19, Iss 10, Pp 4531-4534 (2024)
Thymomas are benign epithelial neoplasms originating from the thymus gland and are among the most common primary mediastinal tumors. Malignancy is typically determined by evidence of pathological invasion beyond the capsule, with local invasion being
Externí odkaz:
https://doaj.org/article/beb5b4936ccc4df2b00044c4cf036ddd
Autor:
Maryam Zare, Sirous Naeimi, Saghar Zekri, Davood Mehrabani, Shahrokh Zare, Iman Jamhiri, Marzieh Hamzavi, Masood Najafi, Feridoun Karimi-Busheri
Publikováno v:
International Journal of Nutrition Sciences, Vol 9, Iss 3, Pp 194-202 (2024)
Background: Methamphetamine use can provide a quick and pleasurable rush, increased energy, heightened attention, and euphoria, but may also result in many adverse effects. Various cell lines have been utilized in vitro to determine the adverse impac
Externí odkaz:
https://doaj.org/article/a3a2587494ec424ca0d54776503b70ac
Publikováno v:
Ziglôbitha, Vol 02, Iss 11, Pp 25-42 (2024)
Résumé : Le présent article évoque une nouvelle perspective d’enseignement/apprentissage du français de spécialité dans la filière de français. Connue sous la dénomination de "Introduction aux langues de spécialité" (ILS), cette matièr
Externí odkaz:
https://doaj.org/article/3d0422dbfba9404f8cc25832a1a6978f
Publikováno v:
Nanocomposites, Vol 10, Iss 1, Pp 91-107 (2024)
AbstractIn this study, the synthesis-structure-property relationship of graphene-reinforced Al matrix nanocomposites was investigated. The Al-Li-GNPs nanocomposite was synthesized to attain both high strength and good ductility. The incorporation of
Externí odkaz:
https://doaj.org/article/1fbdd64fa70a40c4906d4f4f5ae6a8e4
Autor:
Ali Al-Maktoumi, Mohammad Mahdi Rajabi, Slim Zekri, Rajesh Govindan, Aref Panjehfouladgaran, Zahra Hajibagheri
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 6, Pp 1333-1350 (2024)
This study presents the ‘Dual Path CNN-MLP’, a novel hybrid deep neural network (DNN) architecture that merges the strengths of convolutional neural networks (CNNs) and multilayer perceptrons (MLPs) for regional groundwater flow simulations. This
Externí odkaz:
https://doaj.org/article/c1b804a8c4bc498c8412c7265532194b