Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dayang Liang"'
Publikováno v:
Applied Intelligence. 53:11034-11044
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031059353
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c180d0d47d6476b4405d250b87b4a91
https://doi.org/10.1007/978-3-031-05936-0_22
https://doi.org/10.1007/978-3-031-05936-0_22
Publikováno v:
Knowledge-Based Systems. 233:107535
Deep reinforcement learning (DRL) has achieved great success in recent years by combining the feature extraction power of deep learning and the decision power of reinforcement learning techniques. In the literature, Convolutional Neural Networks (CNN
Autor:
Sen Yang, Yuan Tian, Yan Wang, Ying Xu, Sen Liang, Xu Zhang, Jiechao Ma, Dayang Liang, Jing Zhao
Publikováno v:
Mathematical biosciences. 311
Tissue-based gene expression data analyses, while most powerful, represent a significantly more challenging problem compared to cell-based gene expression data analyses, even for the simplest differential gene expression analyses. The result in deter
Publikováno v:
Genes, Vol 9, Iss 8, p 382 (2018)
Genes
Volume 9
Issue 8
Genes
Volume 9
Issue 8
Non-invasive prediction of isocitrate dehydrogenase (IDH) genotype plays an important role in tumor glioma diagnosis and prognosis. Recently, research has shown that radiology images can be a potential tool for genotype prediction, and fusion of mult
Publikováno v:
Analytical biochemistry. 387(1)
A soft-modeling multivariate numerical approach that combines self-modeling curve resolution (SMCR) and mixed Lorentzian-Gaussian curve fitting was successfully implemented for the first time to elucidate spatially and spectroscopically resolved spec