Zobrazeno 1 - 10
of 24 595
pro vyhledávání: '"Bani, A."'
In emergency departments, rural hospitals, or clinics in less developed regions, clinicians often lack fast image analysis by trained radiologists, which can have a detrimental effect on patients' healthcare. Large Language Models (LLMs) have the pot
Externí odkaz:
http://arxiv.org/abs/2409.06351
Autor:
Zhuo, Terry Yue, Vu, Minh Chien, Chim, Jenny, Hu, Han, Yu, Wenhao, Widyasari, Ratnadira, Yusuf, Imam Nur Bani, Zhan, Haolan, He, Junda, Paul, Indraneil, Brunner, Simon, Gong, Chen, Hoang, Thong, Zebaze, Armel Randy, Hong, Xiaoheng, Li, Wen-Ding, Kaddour, Jean, Xu, Ming, Zhang, Zhihan, Yadav, Prateek, Jain, Naman, Gu, Alex, Cheng, Zhoujun, Liu, Jiawei, Liu, Qian, Wang, Zijian, Lo, David, Hui, Binyuan, Muennighoff, Niklas, Fried, Daniel, Du, Xiaoning, de Vries, Harm, Von Werra, Leandro
Task automation has been greatly empowered by the recent advances in Large Language Models (LLMs) via Python code, where the tasks ranging from software engineering development to general-purpose reasoning. While current benchmarks have shown that LL
Externí odkaz:
http://arxiv.org/abs/2406.15877
Autor:
Besner, Alexandre, Massé, Alexandre Blondin, Bani, Abderrahman, Morabit, Mouad, Charest, Luc, Ialongo, David, Couture-Gagnon, Simon, Fournier, Julien
Hydro-Quebec (HQ) is a vertically integrated utility that produces, transmits, and distributes most of the electricity in the province of Quebec. The power grid it operates has a particular architecture created by large hydroelectric dams located far
Externí odkaz:
http://arxiv.org/abs/2405.20199
Autor:
Chakraborty, Antik, Walsh, Jonelle B., Strigari, Louis, Mallick, Bani K., Bhattacharya, Anirban
The orbital superposition method originally developed by Schwarzschild (1979) is used to study the dynamics of growth of a black hole and its host galaxy, and has uncovered new relationships between the galaxy's global characteristics. Scientists are
Externí odkaz:
http://arxiv.org/abs/2404.03152
Sparse training has emerged as a promising method for resource-efficient deep neural networks (DNNs) in real-world applications. However, the reliability of sparse models remains a crucial concern, particularly in detecting unknown out-of-distributio
Externí odkaz:
http://arxiv.org/abs/2403.20047
There is a significant interest in exploring non-linear associations among multiple images derived from diverse imaging modalities. While there is a growing literature on image-on-image regression to delineate predictive inference of an image based o
Externí odkaz:
http://arxiv.org/abs/2402.02734
Autor:
Gammoh, Omar, Durand, Hannah, Alqudah, Abdelrahim, Qnais, Esam, Ajlouni, Yaroup, Sakher, Shatha Bani, Mohammad, Nawaf, Alsous, Mervat, Aljabali, Alaa A. A., Binsaleh, Ammena Y., Shilbayeh, Sireen A. R.
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Jun 01. 28(6), 66-74.
Externí odkaz:
https://www.jstor.org/stable/27315222
Thompson sampling (TS) is one of the most popular and earliest algorithms to solve stochastic multi-armed bandit problems. We consider a variant of TS, named $\alpha$-TS, where we use a fractional or $\alpha$-posterior ($\alpha\in(0,1)$) instead of t
Externí odkaz:
http://arxiv.org/abs/2309.06349
In a traditional Gaussian graphical model, data homogeneity is routinely assumed with no extra variables affecting the conditional independence. In modern genomic datasets, there is an abundance of auxiliary information, which often gets under-utiliz
Externí odkaz:
http://arxiv.org/abs/2308.07806
Autor:
Wegdan Bani Issa, Ali Shorbagi, Alham Al-Sharman, Mohammad Rababa, Khalid Al-Majeed, Hadia Radwan, Fatma Refaat Ahmed, Nabeel Al-Yateem, Richard Mottershead, Dana N. Abdelrahim, Heba Hijazi, Wafa Khasawneh, Ibrahim Ali, Nada Abbas, Randa Fakhry
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Artificial intelligence (AI) is transforming health profession education (HPE) through personalized learning technologies. HPE students must also learn about AI to understand its impact on healthcare delivery. We examined HPE stud
Externí odkaz:
https://doaj.org/article/2af3166d6a744165be21f1f08c7ad303