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of 9
pro vyhledávání: '"Roy E. Welsch"'
Publikováno v:
IEEE Access, Vol 8, Pp 91265-91275 (2020)
The imbalanced classification problem has become greatest issue in many fields, especially in fraud detection. In fraud detection, the transaction datasets available for training are extremely imbalanced, with fraudulent transaction logs considerably
Publikováno v:
UV
Medical detection is one of the important methods to prevent, diagnose and treat diseases. Under normal conditions, there are many indicators as the basis for diagnosis in medical detection usually. However, in some situations, many detection indicat
Publikováno v:
CEC
There is a large variety of products sold online and the websites are in several languages. Hence, it is desirable to train a model that can predict sentiments in different domains simultaneously. Previous authors have used deep learning to extract f
Publikováno v:
Knowledge-Based Systems. 108:144-154
© 2016 We propose a deep recurrent belief network with distributed time delays for learning multivariate Gaussians. Learning long time delays in deep belief networks is difficult due to the problem of vanishing or exploding gradients with increase i
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0223161 (2019)
PLoS ONE
PLoS ONE
In many data classification problems, a number of methods will give similar accuracy. However, when working with people who are not experts in data science such as doctors, lawyers, and judges among others, finding interpretable algorithms can be a c
Autor:
Yukun Ma, Hanry Yu, Roy E. Welsch, Eliza Li Shan Fong, Jiangwa Xing, Yufei Xie, Yang Yu, Ziwei Song, Ke Si, Aileen Wee, Jiahao Wang, Peter T. C. So, Shupei Mo, Chan Way Ng
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Current liver fibrosis scoring by computer-assisted image analytics is not fully automated as it requires manual preprocessing (segmentation and feature extraction) typically based on domain knowledge in liver pathology. Deep learning-based algorithm
ispartof: COMPUTATIONAL STATISTICS & DATA ANALYSIS vol:54 issue:12 pages:2879-2882 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::110b8fb57c8e745ec97eebab99bcdb54
https://lirias.kuleuven.be/handle/123456789/462056
https://lirias.kuleuven.be/handle/123456789/462056
Autor:
Paul F. Velleman, Roy E. Welsch
Publikováno v:
The American Statistician. 35:234-242
Multiple regression diagnostic methods have recently been developed to help data analysts identify failures of data to adhere to the assumptions that customarily accompany regression models. However, the mathematical development of regression diagnos
Autor:
Roy E. Welsch, Paul W. Holland
Publikováno v:
Communications in Statistics - Theory and Methods. 6:813-827
The rapid development of the theory of robust estimation (Huber, 1973) has created a need for computational procedures to produce robust estimates. We will review a number of different computational approaches for robust linear regression but focus o