Zobrazeno 1 - 10
of 5 636
pro vyhledávání: '"A. Hamedani"'
Autor:
Nabavi, Shahabedin, Hamedani, Kian Anvari, Moghaddam, Mohsen Ebrahimi, Abin, Ahmad Ali, Frangi, Alejandro F.
This study proposes an attention-based statistical distance-guided unsupervised domain adaptation model for multi-class cardiovascular magnetic resonance (CMR) image quality assessment. The proposed model consists of a feature extractor, a label pred
Externí odkaz:
http://arxiv.org/abs/2409.00375
Autor:
Aghdam, Sima Taefi, Javadi, Atefeh, Hashemi, Seyedazim, Abdollahi, Mahdi, van Loon, Jacco, Khosroshahi, Habib, Golshan, Roya Hamedani, Saremi, Elham, Saberi, Maryam
NGC 5128 (Cen A) is the nearest giant elliptical galaxy and one of the brightest extragalactic radio sources in the sky, boasting a prominent dust lane and jets emanating from its nuclear supermassive black hole. In this paper, we construct the star
Externí odkaz:
http://arxiv.org/abs/2406.00517
In this paper, we address variational inequalities (VI) with a finite-sum structure. We introduce a novel single-loop stochastic variance-reduced algorithm, incorporating the Bregman distance function, and establish an optimal convergence guarantee u
Externí odkaz:
http://arxiv.org/abs/2405.10735
Autor:
Golshan, Roya Hamedani, Sánchez-Monge, Álvaro, Schilke, Peter, Sewiło, Marta, Möller, Thomas, Veena, V. S., Fuller, Gary A.
To study the impact of the initial effects of metallicity (i.e., the abundance of elements heavier than helium) on star formation and the formation of different molecular species, we searched for hot molecular cores in the sub-solar metallicity envir
Externí odkaz:
http://arxiv.org/abs/2405.01710
Autor:
A. Hamedani, J. Byggmästar, F. Djurabekova, G. Alahyarizadeh, R. Ghaderi, A. Minuchehr, K. Nordlund
Publikováno v:
Materials Research Letters, Vol 8, Iss 10, Pp 364-372 (2020)
We develop a silicon Gaussian approximation machine learning potential suitable for radiation effects, and use it for the first ab initio simulation of primary damage and evolution of collision cascades. The model reliability is confirmed by good rep
Externí odkaz:
https://doaj.org/article/b9e3180cfe5a4a0ea84ba5eb90c7748b
In this paper, we explore a broad class of constrained saddle point problems with a bilevel structure, wherein the upper-level objective function is nonconvex-concave and smooth over compact and convex constraint sets, subject to a strongly convex lo
Externí odkaz:
http://arxiv.org/abs/2404.13021
Autor:
Nabavi, Shahabedin, Hamedani, Kian Anvari, Moghaddam, Mohsen Ebrahimi, Abin, Ahmad Ali, Frangi, Alejandro F.
Background: Image classification can be considered one of the key pillars of medical image analysis. Deep learning (DL) faces challenges that prevent its practical applications despite the remarkable improvement in medical image classification. The d
Externí odkaz:
http://arxiv.org/abs/2403.11226
In this paper, we focus on simple bilevel optimization problems, where we minimize a convex smooth objective function over the optimal solution set of another convex smooth constrained optimization problem. We present a novel bilevel optimization met
Externí odkaz:
http://arxiv.org/abs/2402.08097
Autor:
Cao, Jincheng, Jiang, Ruichen, Abolfazli, Nazanin, Hamedani, Erfan Yazdandoost, Mokhtari, Aryan
In this paper, we study a class of stochastic bilevel optimization problems, also known as stochastic simple bilevel optimization, where we minimize a smooth stochastic objective function over the optimal solution set of another stochastic convex opt
Externí odkaz:
http://arxiv.org/abs/2308.07536
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Deprescribing of potentially inappropriate medications is recommended for older adults and may improve health outcomes and quality of life in persons living with Parkinson disease (PD). Patient attitudes, beliefs, and preferences
Externí odkaz:
https://doaj.org/article/a1eb87514e574d4098bd2e8a02adc5e1