Zobrazeno 1 - 10
of 761
pro vyhledávání: '"A. P. Anaraki"'
Autor:
Pourkamali-Anaraki, Farhad
Multilayer Perceptrons (MLPs) have long been a cornerstone in deep learning, known for their capacity to model complex relationships. Recently, Kolmogorov-Arnold Networks (KANs) have emerged as a compelling alternative, utilizing highly flexible lear
Externí odkaz:
http://arxiv.org/abs/2409.10463
This paper investigates the use of probabilistic neural networks (PNNs) to model aleatoric uncertainty, which refers to the inherent variability in the input-output relationships of a system, often characterized by unequal variance or heteroscedastic
Externí odkaz:
http://arxiv.org/abs/2402.13945
Autor:
Pourkamali-Anaraki, Farhad, Nasrin, Tahamina, Jensen, Robert E., Peterson, Amy M., Hansen, Christopher J.
A pivotal aspect in the design of neural networks lies in selecting activation functions, crucial for introducing nonlinear structures that capture intricate input-output patterns. While the effectiveness of adaptive or trainable activation functions
Externí odkaz:
http://arxiv.org/abs/2402.05401
Autor:
Pourkamali-Anaraki, Farhad, Husseini, Jamal F., Pineda, Evan J., Bednarcyk, Brett A., Stapleton, Scott E.
This paper introduces a novel two-stage machine learning-based surrogate modeling framework to address inverse problems in scientific and engineering fields. In the first stage of the proposed framework, a machine learning model termed the "learner"
Externí odkaz:
http://arxiv.org/abs/2401.02008
Publikováno v:
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
We present coarse-to-fine autoregressive networks (C2FAR), a method for modeling the probability distribution of univariate, numeric random variables. C2FAR generates a hierarchical, coarse-to-fine discretization of a variable autoregressively; progr
Externí odkaz:
http://arxiv.org/abs/2312.15002
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Knowledge networks, such as Communities of Practice (CoP), are essential elements of knowledge management. They play a crucial role in assimilating various knowledge domains and converting individual knowledge into collective know
Externí odkaz:
https://doaj.org/article/bb5b35bbcfe74e2ca0fcc23a4c261814
Autor:
Sara Asgarian, Hossein Lanjanian, Shiva Rahimipour Anaraki, Farzad Hadaegh, Maryam Moazzam-Jazi, Leila Najd-Hassan-Bonab, Sajedeh Masjoudi, Asiyeh Sadat Zahedi, Maryam Zarkesh, Bita Shalbafan, Mahdi Akbarzadeh, Sahand Tehrani Fateh, Davood Khalili, Amirabbas Momenan, Narges Sarbazi, Mehdi Hedayati, Fereidoun Azizi, Maryam S. Daneshpour
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Maturity-onset diabetes of the young (MODY) is an uncommon monogenic type of diabetes mellitus. Detecting genetic variants for MODY is a necessity for precise diagnosis and treatment. The majority of MODY genetic predisposition has been docu
Externí odkaz:
https://doaj.org/article/9cffd875dd33497eb13b7e36d072b360
Autor:
Nahid Rahimipour Anaraki, Meghraj Mukhopadhyay, Jennifer Jewer, Christopher Patey, Paul Norman, Oliver Hurley, Holly Etchegary, Shabnam Asghari
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background The implementation of intervention programs in Emergency Departments (EDs) is often fraught with complications due to the inherent complexity of the environment. Hence, the exploration and identification of barriers and facilitato
Externí odkaz:
https://doaj.org/article/f81e9eebb4804b25ae055378c59b9f72
Autor:
Shiva Rahimipour Anaraki, Ali Mohammadian, Talieh Mostaghimi, Farzin Sadeghi, Roghayeh Akbari
Publikováno v:
Journal of General and Family Medicine, Vol 25, Iss 4, Pp 179-186 (2024)
Abstract Background Acute kidney injury (AKI) is a prevalent complication of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection, and a predictor of disease severity and mortality; furthermore, a prompt diagnosis and treatment
Externí odkaz:
https://doaj.org/article/9b97d348a5584345a11ad1973a8bf308
Publikováno v:
International Journal of Information Science and Management, Vol 22, Iss 3, Pp 1-17 (2024)
Mega journals are growing rapidly, and nowadays, they have become new portals for the publication of scientific outputs. The purpose of this study is to analyze the citations of the scientific outputs of Iran, Turkey, Egypt, Saudi Arabia, and Israel
Externí odkaz:
https://doaj.org/article/a47e48ce2aac4eb69a8a9f521cc632c6