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pro vyhledávání: '"Moniri A"'
Large Language Models (LLMs) are rapidly evolving and impacting various fields, necessitating the development of effective methods to evaluate and compare their performance. Most current approaches for performance evaluation are either based on fixed
Externí odkaz:
http://arxiv.org/abs/2406.11044
Autor:
Moniri, Behrad, Hassani, Hamed
In this paper, we study a nonlinear spiked random matrix model where a nonlinear function is applied element-wise to a noise matrix perturbed by a rank-one signal. We establish a signal-plus-noise decomposition for this model and identify precise pha
Externí odkaz:
http://arxiv.org/abs/2405.18274
Feature learning is thought to be one of the fundamental reasons for the success of deep neural networks. It is rigorously known that in two-layer fully-connected neural networks under certain conditions, one step of gradient descent on the first lay
Externí odkaz:
http://arxiv.org/abs/2310.07891
Autor:
Moniri, Saman, Yang, Yao, Yuan, Yakun, Zhou, Jihan, Yang, Long, Zhu, Fan, Liao, Yuxuan, Yao, Yonggang, Hu, Liangbing, Ercius, Peter, Ding, Jun, Miao, Jianwei
Medium- and high-entropy alloys (M/HEAs) mix multiple principal elements with near-equiatomic composition and represent a paradigm-shift strategy for designing new materials for metallurgy, catalysis, and other fields. One of the core hypotheses of M
Externí odkaz:
http://arxiv.org/abs/2305.14123
Publikováno v:
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, Vol 32, Iss 2, Pp 5-18 (2024)
In the past few decades, researchers have found that studying modules using endomorphisms is a powerful and useful tool. This has led to valuable works in this field. Recently, the study of (dual) Rickart modules has become an important approach as t
Externí odkaz:
https://doaj.org/article/2eb33a9694964b76bedc327949c3a223
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-4 (2024)
Abstract Background Mature cystic teratomas (MCT) of the ovary are benign ovarian germ cell neoplasms. Malignant transformation is possible but rare and ovarian carcinoid tumors in MCT are among the most extremely rare subtypes. Case presentation We
Externí odkaz:
https://doaj.org/article/f27878ea4cd741999a08171b76418aa9
Evaluating the performance of machine learning models under distribution shift is challenging, especially when we only have unlabeled data from the shifted (target) domain, along with labeled data from the original (source) domain. Recent work sugges
Externí odkaz:
http://arxiv.org/abs/2301.13371
Publikováno v:
مجله علوم روانشناختی, Vol 23, Iss 134, Pp 469-483 (2024)
Background: Death and death thoughts in contemporary Iranian poetry (with the approach of existential philosophy and psychology) in the context of the compositions of three of Iran's prominent contemporary speakers, namely: Nima Yoshij, Ahmad Shamlou
Externí odkaz:
https://doaj.org/article/2bdb3e27431945e4b2f1709655e40fb0
Autor:
Nahid Azdaki, Fatemeh Salmani, Toba Kazemi, Neda Partovi, Saeede Khosravi Bizhaem, Masomeh Noori Moghadam, Yoones Moniri, Ehsan Zarepur, Noushin Mohammadifard, Hassan Alikhasi, Fatemeh Nouri, Nizal Sarrafzadegan, Seyyed Ali Moezi, Mohammad Reza Khazdair
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Coronary artery disease (CAD) is recognized as the leading cause of death worldwide. This study analyses CAD risk factors using an artificial neural network (ANN) to predict CAD. Methods The research data were obtained from a mult
Externí odkaz:
https://doaj.org/article/032ef9d18a2e420c8708e218eb8c7857
Autor:
Mehdi Kazempour Dizaji, Mohammad Varahram, Atefe Abedini, Rahim Roozbahani, Ali Zare, Payam Tabarsi, Majid Marjani, Afshin Moniri, Niloufar Alizadeh Kolahdozi, Mohammadreza Madani, Parvaneh Baghaei Shiva
Publikováno v:
Health Science Monitor, Vol 3, Iss 1, Pp 39-47 (2024)
Background & Aims: There are variables whose influence on the risk of tuberculosis (TB) recurrence change over time. Therefore, this study aimed to assess the time-dependent effects of these variables on the hazard of TB recurrence. Materials & Metho
Externí odkaz:
https://doaj.org/article/e9a9f80cd75c4e019e70aa3b028bc0af