Zobrazeno 1 - 10
of 529
pro vyhledávání: '"Ghunaim A"'
Autor:
Ghunaim, Yasir, Hoehndorf, Robert
Pre-training machine learning models on molecular properties has proven effective for generating robust and generalizable representations, which is critical for advancements in drug discovery and materials science. While recent work has primarily foc
Externí odkaz:
http://arxiv.org/abs/2410.11914
Autor:
Alhamoud, Kumail, Ghunaim, Yasir, Alfarra, Motasem, Hartvigsen, Thomas, Torr, Philip, Ghanem, Bernard, Bibi, Adel, Ghassemi, Marzyeh
For medical imaging AI models to be clinically impactful, they must generalize. However, this goal is hindered by (i) diverse types of distribution shifts, such as temporal, demographic, and label shifts, and (ii) limited diversity in datasets that a
Externí odkaz:
http://arxiv.org/abs/2407.08822
Autor:
Abdullah H. Ghunaim, Basma Aljabri, Ahmed Dohain, Ghassan S. Althinayyan, Abdulaziz I. Aleissa, Ahmad T. Alshebly, Rayan A. Alyafi, Tareg M. Alhablany, Ahmed M. Nashar, Osman O. Al-Radi
Publikováno v:
Pediatric Reports, Vol 16, Iss 3, Pp 753-762 (2024)
Background/Objectives: Deep hypothermic circulatory arrest (DHCA) is safe, but subtle neurodevelopmental deficits may persist far beyond the perioperative period. We aimed to investigate the relationship between DHCA duration and neurodevelopmental o
Externí odkaz:
https://doaj.org/article/cf5e73e1f4ec46bea1b0e7875b0b3fc3
Autor:
Houyon, Joachim, Cioppa, Anthony, Ghunaim, Yasir, Alfarra, Motasem, Halin, Anaïs, Henry, Maxim, Ghanem, Bernard, Van Droogenbroeck, Marc
In recent years, online distillation has emerged as a powerful technique for adapting real-time deep neural networks on the fly using a slow, but accurate teacher model. However, a major challenge in online distillation is catastrophic forgetting whe
Externí odkaz:
http://arxiv.org/abs/2304.01239
Autor:
Ghunaim, Yasir, Bibi, Adel, Alhamoud, Kumail, Alfarra, Motasem, Hammoud, Hasan Abed Al Kader, Prabhu, Ameya, Torr, Philip H. S., Ghanem, Bernard
Current evaluations of Continual Learning (CL) methods typically assume that there is no constraint on training time and computation. This is an unrealistic assumption for any real-world setting, which motivates us to propose: a practical real-time e
Externí odkaz:
http://arxiv.org/abs/2302.01047
Autor:
Ghunaim Hussein Al-Qaḥṭānī
Publikováno v:
الآداب, Vol 12, Iss 3 (2024)
يدرس هذا البحث مفهوم الاحتمال في التفسير، وبيان ذلك من خلال عرض بعض النماذج التطبيقية التي أوردها ابن عطية الأندلسي في كتابه الموسوم بــ
Externí odkaz:
https://doaj.org/article/6ba7eb8849584540ad12b616c37aa1c9
Autor:
Anas Alatawneh, Duha Ghunaim
Publikováno v:
Green Energy and Intelligent Transportation, Vol 3, Iss 4, Pp 100166- (2024)
Many countries are relying on electric vehicles to achieve their future greenhouse gas reduction targets; thus, they are setting regulations to force car manufacturers to a complete shift into producing fully electric vehicles, which will significant
Externí odkaz:
https://doaj.org/article/4b56f151bde94550987793fefc6b1915
Autor:
Ghunaim, Abdullah H.1,2 (AUTHOR) galthinayyan@gmail.com, Aljabri, Basma3 (AUTHOR) baljabri@kau.edu.sa, Dohain, Ahmed4,5 (AUTHOR) adohain@yahoo.com, Althinayyan, Ghassan S.2 (AUTHOR) abdulazizaleissa30@gmail.com, Aleissa, Abdulaziz I.2 (AUTHOR) dralshebly@gmail.com, Alshebly, Ahmad T.2 (AUTHOR) rayanyafi@gmail.com, Alyafi, Rayan A.2 (AUTHOR) tareqalhablany@gmail.com, Alhablany, Tareg M.2 (AUTHOR) ahmednashar96@gmail.com, Nashar, Ahmed M.2 (AUTHOR), Al-Radi, Osman O.1 (AUTHOR) oradi@kau.edu.sa
Publikováno v:
Pediatric Reports. Sep2024, Vol. 16 Issue 3, p753-762. 10p.
Autor:
Alatawneh, Anas, Ghunaim, Duha
Publikováno v:
In Green Energy and Intelligent Transportation August 2024 3(4)
Autor:
Ignacz, Gergo, Bader, Lana, Beke, Aron K., Ghunaim, Yasir, Shastry, Tejus, Vovusha, Hakkim, Carbone, Matthew R., Ghanem, Bernard, Szekely, Gyorgy
Publikováno v:
In Journal of Membrane Science January 2025 713