Zobrazeno 1 - 10
of 2 547
pro vyhledávání: '"Khalafi, A."'
Autor:
Boob, Digvijay, Khalafi, Mohammad
This paper proposes a novel first-order algorithm that solves composite nonsmooth and stochastic convex optimization problem with function constraints. Most of the works in the literature provide convergence rate guarantees on the average-iterate sol
Externí odkaz:
http://arxiv.org/abs/2410.18513
Autor:
Ghaffarzadeh-Esfahani, Mohammadreza, Ghaffarzadeh-Esfahani, Mahdi, Salahi-Niri, Arian, Toreyhi, Hossein, Atf, Zahra, Mohsenzadeh-Kermani, Amirali, Sarikhani, Mahshad, Tajabadi, Zohreh, Shojaeian, Fatemeh, Bagheri, Mohammad Hassan, Feyzi, Aydin, Tarighatpayma, Mohammadamin, Gazmeh, Narges, Heydari, Fateme, Afshar, Hossein, Allahgholipour, Amirreza, Alimardani, Farid, Salehi, Ameneh, Asadimanesh, Naghmeh, Khalafi, Mohammad Amin, Shabanipour, Hadis, Moradi, Ali, Zadeh, Sajjad Hossein, Yazdani, Omid, Esbati, Romina, Maleki, Moozhan, Nasr, Danial Samiei, Soheili, Amirali, Majlesi, Hossein, Shahsavan, Saba, Soheilipour, Alireza, Goudarzi, Nooshin, Taherifard, Erfan, Hatamabadi, Hamidreza, Samaan, Jamil S, Savage, Thomas, Sakhuja, Ankit, Soroush, Ali, Nadkarni, Girish, Darazam, Ilad Alavi, Pourhoseingholi, Mohamad Amin, Safavi-Naini, Seyed Amir Ahmad
Background: This study aimed to evaluate and compare the performance of classical machine learning models (CMLs) and large language models (LLMs) in predicting mortality associated with COVID-19 by utilizing a high-dimensional tabular dataset. Materi
Externí odkaz:
http://arxiv.org/abs/2409.02136
Diffusion models have attained prominence for their ability to synthesize a probability distribution for a given dataset via a diffusion process, enabling the generation of new data points with high fidelity. However, diffusion processes are prone to
Externí odkaz:
http://arxiv.org/abs/2408.15094
Neural tangent kernels (NTKs) provide a theoretical regime to analyze the learning and generalization behavior of over-parametrized neural networks. For a supervised learning task, the association between the eigenvectors of the NTK kernel and given
Externí odkaz:
http://arxiv.org/abs/2310.10791
Autor:
S. Erfan Hosseini-Asl, Jafar Khalafi, Effat Seyedhashemi, Reza Farajollahi, Homa Ahkavan, S. Saied Hosseini-Asl
Publikováno v:
Egyptian Journal of Medical Human Genetics, Vol 25, Iss 1, Pp 1-5 (2024)
Abstract Background Cystic fibrosis (CF) is an autosomal recessive inherited life-threatening disease that causes changes in the electrolyte transport system, leading to high absorption of sodium and water. Disease-causing variants of the CFTR gene a
Externí odkaz:
https://doaj.org/article/351d9799c73d4c7b8340b3794ec6e712
Publikováno v:
Journal of Advances in Medical Education and Professionalism, Vol 12, Iss 4, Pp 251-260 (2024)
Introduction: Lack of clinical competence can endanger the patient’s safety and reduce the quality of providing health care services. The aim of this study was to examine the impact of formative Objective Structured Clinical Examinations (OSCEs) wi
Externí odkaz:
https://doaj.org/article/53a4e2cc99f646dd83d78c6553f9ce39
The monotone Variational Inequality (VI) is a general model with important applications in various engineering and scientific domains. In numerous instances, the VI problems are accompanied by function constraints that can be data-driven, making the
Externí odkaz:
http://arxiv.org/abs/2304.04778
Publikováno v:
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām, Vol 32, Iss 2, Pp 1-16 (2024)
Introduction: Chronic obstructive pulmonary disease (COPD) is one of the respiratory diseases in which inflammation plays a key role in its development. Exercise training has acritical role in improving chronic inflammation. Nonetheless, the effects
Externí odkaz:
https://doaj.org/article/4d0ea2de6e444dd4a478a165e8caa364
COVID-19 has adversely affected humans and societies in different aspects. Numerous people have perished due to inaccurate COVID-19 identification and, consequently, a lack of appropriate medical treatment. Numerous solutions based on manual and auto
Externí odkaz:
http://arxiv.org/abs/2301.02735
Autor:
Hosseini-Asl, S. Erfan1 (AUTHOR), Khalafi, Jafar2 (AUTHOR), Seyedhashemi, Effat3 (AUTHOR), Farajollahi, Reza4 (AUTHOR), Ahkavan, Homa5 (AUTHOR), Hosseini-Asl, S. Saied3,5 (AUTHOR) saied.hosseiniasl@arums.ac.ir
Publikováno v:
Egyptian Journal of Medical Human Genetics. 10/7/2024, Vol. 25 Issue 1, p1-5. 5p.