Zobrazeno 1 - 10
of 304
pro vyhledávání: '"Deep joint learning"'
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-23 (2024)
Abstract Alzheimer’s disease (AD) is an advanced and incurable neurodegenerative disease. Genetic variations are intrinsic etiological factors contributing to the abnormal expression of brain function and structure in AD patients. A new multimodal
Externí odkaz:
https://doaj.org/article/63e8f83050ce4c2d9d71bc41488f2f20
Autor:
Wang, Jingru1 (AUTHOR), Wen, Shipeng1 (AUTHOR), Liu, Wenjie2 (AUTHOR), Meng, Xianglian2,3 (AUTHOR) mengxl@czust.edu.cn, Jiao, Zhuqing1,3 (AUTHOR) jzq@cczu.edu.cn
Publikováno v:
BioData Mining. 11/5/2024, Vol. 17 Issue 1, p1-23. 23p.
This paper addresses the problem of pricing involved financial derivatives by means of advanced of deep learning techniques. More precisely, we smartly combine several sophisticated neural network-based concepts like differential machine learning, Mo
Externí odkaz:
http://arxiv.org/abs/2404.11257
Autor:
Fang, Bei1 (AUTHOR) beifang@snnu.edu.cn, Zhao, Yujie2 (AUTHOR) zhaoyujie@snnu.edu.cn, Han, Guangxin1 (AUTHOR) hgx@snnu.edu.cn, He, Juhou1 (AUTHOR) juhouh@snnu.edu.cn
Publikováno v:
Sensors (14248220). Aug2023, Vol. 23 Issue 16, p7148. 26p.
Autor:
Park, Changhyun, Suk, Heung-Il
The identification of Alzheimer's disease (AD) and its early stages using structural magnetic resonance imaging (MRI) has been attracting the attention of researchers. Various data-driven approaches have been introduced to capture subtle and local mo
Externí odkaz:
http://arxiv.org/abs/2108.04555
Autor:
Park, Changhyun1 (AUTHOR), Jung, Wonsik1 (AUTHOR), Suk, Heung-Il1,2 (AUTHOR) hisuk@korea.ac.kr
Publikováno v:
Scientific Reports. 7/19/2023, Vol. 13 Issue 1, p1-15. 15p.
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract The identification of Alzheimer’s disease (AD) using structural magnetic resonance imaging (sMRI) has been studied based on the subtle morphological changes in the brain. One of the typical approaches is a deep learning-based patch-level f
Externí odkaz:
https://doaj.org/article/aa0676ab5d6f43e79624121151cb57e2
Publikováno v:
Sensors, Vol 23, Iss 16, p 7148 (2023)
In recent years, convolutional neural networks (CNNs) have played a dominant role in facial expression recognition. While CNN-based methods have achieved remarkable success, they are notorious for having an excessive number of parameters, and they re
Externí odkaz:
https://doaj.org/article/75cbba1523214460a62b736d20e966b5
Autor:
Zuo, Chunman1 (AUTHOR), Chen, Luonan1,2,3 (AUTHOR) lnchen@sibs.ac.cn
Publikováno v:
Briefings in Bioinformatics. Jul2021, Vol. 22 Issue 4, p1-13. 13p.
Publikováno v:
In Neural Networks September 2021 141:72-86