Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Xiurui Hou"'
Publikováno v:
IEEE Access, Vol 8, Pp 31992-32002 (2020)
Stock return forecasting typically requires a large number of factors and these factors usually exhibit nonlinear relations with each other. Conventional methods of stock return forecasting mainly fall into two categories: Technical Analysis and Fund
Externí odkaz:
https://doaj.org/article/33b3f360dc2f42a0979df7f4683b0422
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 8:1015-1024
Stocks that are fundamentally connected with each other tend to move together. Considering such common trends is believed to benefit stock movement forecasting tasks. However, such signals are not trivial to model because the connections among stocks
Autor:
Zhi Wei, Xiang Yu, Hakon Hakonarson, Lei Gu, Fei Tan, Tian Tian, Brian D. Gregory, Xiurui Hou, Fernanda Abani Mafra
Publikováno v:
Nature Machine Intelligence. 2:466-475
Research on DNA methylation on N6-adenine (6mA) in eukaryotes has received much recent attention. Recent studies have generated a large amount of 6mA genomic data, yet the role of DNA 6mA in eukaryotes remains elusive, or even controversial. We argue
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 30:1565-1574
Online peer-to-peer (P2P) lending is expected to benefit both investors and borrowers due to their low transaction cost and the elimination of expensive intermediaries. From the lenders' perspective, maximizing their return on investment is an ultima
Autor:
Cheng Zhong, Fabian Brand, Xiurui Hou, Peter Krawitz, Patrick M. A. Sleiman, Zhi Wei, Joseph T. Glessner, Jie Zhang, Hakon Hakonarson, Munir Khan
Publikováno v:
Brief Bioinform
Copy number variations (CNVs) are an important class of variations contributing to the pathogenesis of many disease phenotypes. Detecting CNVs from genomic data remains difficult, and the most currently applied methods suffer from an unacceptably hig
Publikováno v:
Scopus-Elsevier
IJCAI
IJCAI
We consider the problem of project success prediction on crowdfunding platforms. Despite the information in a project profile can be of different modalities such as text, images, and metadata, most existing prediction approaches leverage only the tex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0804e79e9bf1d9f9c1776821e60f0d73
http://www.scopus.com/inward/record.url?eid=2-s2.0-85074954465&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85074954465&partnerID=MN8TOARS