Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Hongshik Ahn"'
Publikováno v:
Mathematics, Vol 10, Iss 3, p 497 (2022)
We propose a method of group testing by taking dilution effects into consideration. We estimate the dilution effect based on massively collected RT-PCR threshold cycle data and incorporate them into optimizing group tests. The new constraint helps fi
Externí odkaz:
https://doaj.org/article/afd575c8367f4e49ac65c399e3ccc8ec
Publikováno v:
Journal of Statistical Software, Vol 16, Iss 1, Pp 1-14 (2006)
A computational tool for testing for a dose-related trend and/or a pairwise difference in the incidence of an occult tumor via an age-adjusted bootstrap-based poly-k test and the original poly-k test is presented in this paper. The poly-k test (Baile
Externí odkaz:
https://doaj.org/article/02442d76bdf645639e0073ab9299ecb1
Publikováno v:
Journal of Statistical Software, Vol 7, Iss 1, Pp 1-36 (2002)
A Web-based statistical tool for sample size and power estimation in animal carcinogenicity studies is presented in this paper. It can be used to provide a design with sufficient power for detecting a dose-related trend in the occurrence of a tumor o
Externí odkaz:
https://doaj.org/article/6a457a44e1cd46d1844e9395a4676352
Publikováno v:
Cancer Informatics, Vol 13s7 (2014)
Binary tree classification has been useful for classifying the whole population based on the levels of outcome variable that is associated with chosen predictors. Often we start a classification with a large number of candidate predictors, and each p
Externí odkaz:
https://doaj.org/article/e6dedd6eb3a6417cbdb63f7f0e287dc0
Publikováno v:
Prostate Cancer, Vol 2011 (2011)
Background. Loss of bone density with androgen deprivation therapy for prostate cancer is well recognized. We assessed the effects of quarterly infusion of zoledronic acid on bone mineral density (BMD) and markers of bone turnover over a one-year per
Externí odkaz:
https://doaj.org/article/fcc9cb82dace456286507899e66ed329
Publikováno v:
Journal of Statistical Software, Vol 7, Iss 13 (2002)
Externí odkaz:
https://doaj.org/article/e74912c67ea343f2a741dce476b236b6
Publikováno v:
IEEE Transactions on Artificial Intelligence. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4f9e9b689ec2b67814fe0516a61ca92
https://doi.org/10.1109/tai.2022.3223892
https://doi.org/10.1109/tai.2022.3223892
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12234270e49d8844dd9e072a9e4bf94b
https://doi.org/10.1145/3511808.3557429
https://doi.org/10.1145/3511808.3557429
Publikováno v:
Biometrical Journal. Biometrische Zeitschrift
We propose a mathematical model based on probability theory to optimize COVID‐19 testing by a multistep batch testing approach with variable batch sizes. This model and simulation tool dramatically increase the efficiency and efficacy of the tests
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f3c76069f6084b867a149d78a2d234b
https://doi.org/10.1002/bimj.202000240
https://doi.org/10.1002/bimj.202000240
Autor:
Ziheng Chen, Hongshik Ahn
Publikováno v:
International Journal of Automation and Computing. 17:621-636
In this article, we propose a novel probabilistic framework to improve the accuracy of a weighted majority voting algorithm. In order to assign higher weights to the classifiers which can correctly classify hard-to-classify instances, we introduce th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dfe120da6fb0d3f04d5584bc350acfe
https://doi.org/10.1007/s11633-020-1239-y
https://doi.org/10.1007/s11633-020-1239-y