Zobrazeno 1 - 10
of 1 711
pro vyhledávání: '"Liu, Yt"'
Publikováno v:
International Journal of General Medicine, Vol Volume 17, Pp 2527-2538 (2024)
Jing-Feng Zou,* Shao-Tian Li,* Li-Ping Wang,* Nian-Li Zhou, Jia-Jia Ran, Xin Yang, Chun-Hui Tian, Yi-Ting Liu, Yun Liu, Wen Peng Department of General Practice, Union Hospital, Tongji Medical College, Huazhong University of Science and Te
Externí odkaz:
https://doaj.org/article/7056ba2144034645a846699783a4ce75
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol Volume 20, Pp 307-316 (2024)
Yu-Tong Liu,1 Chun-Yan Lei,1 Lian-Mei Zhong2 1Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, People’s Republic of China; 2Department of Neurology, Xuanwu Hospital of Capital Medical U
Externí odkaz:
https://doaj.org/article/09eccf8f99384436bbce62cb1a1be303
Publikováno v:
Nature and Science of Sleep, Vol Volume 14, Pp 517-529 (2022)
Chien-Feng Lee,1,* Yunn-Jy Chen,2,* Wen-Chi Huang,3 Jen-Wen Hou,4 Yu-Ting Liu,5 Tiffany Ting-Fang Shih,6 Pei-Lin Lee,7– 10 Chong-Jen Yu1,8,9 1Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan; 2D
Externí odkaz:
https://doaj.org/article/64dc8ecb2168488ba307f738d707fdb4
Autor:
Liu YT, Hao XZ, Liu DR, Cheng G, Zhang SC, Xiao WH, Hu Y, Liu JF, He M, Ding CM, Zhang L, Wang J, Li H, Dong GL, Zhi XY, Li J, Shi YK
Publikováno v:
Cancer Management and Research, Vol Volume 12, Pp 4633-4643 (2020)
Yu-Tao Liu,1 Xue-Zhi Hao,1 De-Ruo Liu,2 Gang Cheng,3 Shu-Cai Zhang,4 Wen-Hua Xiao,5 Yi Hu,6 Jun-Feng Liu,7 Ming He,7 Cui-Min Ding,8 Li Zhang,9 Jun Wang,10 Hui Li,11 Gui-Lan Dong,12 Xiu-Yi Zhi,13 Jian Li,14 Yuan-Kai Shi1 1Department of Medical Oncolog
Externí odkaz:
https://doaj.org/article/fc148cade0ba40449eb16b7d24d98cec
Publikováno v:
Therapeutics and Clinical Risk Management, Vol Volume 13, Pp 41-48 (2017)
Yen-Tze Liu,1 Pei-Yu Yang,2 Yu-Wen Yang,1 Hung-Yu Sun,1 I-Ching Lin1,3,4 1Department of Family Medicine, Changhua Christian Hospital, 2Department of Laboratory, Show Chwan Memorial Hospital, Changhua City, 3School of Medicine, Chung Shan Medical Univ
Externí odkaz:
https://doaj.org/article/1a76f30caed64ebdb7b96986fb0f264b
Publikováno v:
Drug Design, Development and Therapy, Vol 2016, Iss Issue 1, Pp 1019-1028 (2016)
Yi-Ping Fang,1 Chih-Hung Chuang,2 Pao-Chu Wu,1 Yaw-Bin Huang,1 Cherng-Chyi Tzeng,3 Yeh-Long Chen,3 Ya-Ting Liu,1 Yi-Hung Tsai,1 Ming-Jun Tsai4–6 1School of Pharmacy, College of Pharmacy, 2Department of Biomedical and Environment Biology, College of
Externí odkaz:
https://doaj.org/article/2b30972df4b14a92aa830ab610b02c50
Publikováno v:
Journal of physics. Condensed matter : an Institute of Physics journal, vol 31, iss 19
X-ray absorption spectroscopy (XAS) is performed to study changes in the electronic structures of colossal magnetoresistance (CMR) and charged ordered (CO) La1-x Ca x MnO3 manganites with respect to temperature. The pre-edge features in O and Mn K-ed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::924059c82949b9f781f0016e3dea0638
https://escholarship.org/uc/item/4j97g0w2
https://escholarship.org/uc/item/4j97g0w2
© 1989-2012 IEEE. The class imbalance problem in machine learning occurs when certain classes are underrepresented relative to the others, leading to a learning bias toward the majority classes. To cope with the skewed class distribution, many learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::abef816c05d7d3556b6b5d9092d0e2d4
https://hdl.handle.net/10453/124045
https://hdl.handle.net/10453/124045
© 1993-2012 IEEE. This study proposes an architecture based on a weighted fuzzy Dempster-Shafer framework (WFDSF), which can adjust weights associated with inconsistent evidence obtained by different classification approaches, to realize a fusion sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::b6b6c77de1c587c0838340ef7e13b099
https://hdl.handle.net/10453/113450
https://hdl.handle.net/10453/113450
© 2016 IEEE. This paper presents a novel oversampling technique that addresses highly imbalanced data distribution. At present, the imbalanced data that have anomalous class distribution and underrepresented data are difficult to deal with through a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::2c618b537f2ac674b1cd78b7b5259ba8
https://hdl.handle.net/10453/120295
https://hdl.handle.net/10453/120295