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Jiming Liu

Showing results (31-40 of 136) with videos related to

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Sensors (Basel, Switzerland)|October 16, 2025
ASFT-Transformer: A Fast and Accurate Framework for EEG-Based Pilot Fatigue RecognitionJiming Liu, Yi Zhou, Qileng He, et al.
BMC Medical Research Methodology|December 20, 2014
Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile rangeXiang Wan, Wenqian Wang, Jiming Liu, et al.
IEEE Transactions on Cybernetics|May 27, 2014
Hybrid adaptive classifier ensembleZhiwen Yu, Le Li, Jiming Liu, et al.
Frontiers in Big Data|February 3, 2025
Toward a physics-guided machine learning approach for predicting chaotic systems dynamicsLiu Feng, Yang Liu, Benyun Shi, et al.
Nanoscale|February 7, 2020
A bifunctional nanoporous Ni-Co-Se electrocatalyst with a superaerophobic surface for water and hydrazine oxidationZhongbao Feng, Enping Wang, Shuai Huang, et al.
BMC Bioinformatics|August 28, 2015
Predicting protein function via downward random walks on a gene ontologyGuoxian Yu, Hailong Zhu, Carlotta Domeniconi, et al.
Bioinformatics (Oxford, England)|March 20, 2014
Piecewise-constant and low-rank approximation for identification of recurrent copy number variationsXiaowei Zhou, Jiming Liu, Xiang Wan, et al.
Statistical Methods in Medical Research|September 30, 2016
Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile rangeDehui Luo, Xiang Wan, Jiming Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 9, 2016
Social Collaborative Filtering by TrustBo Yang, Yu Lei, Jiming Liu, et al.
Infectious Diseases of Poverty|March 1, 2023
TransCode: Uncovering COVID-19 transmission patterns via deep learningJinfu Ren, Mutong Liu, Yang Liu, et al.
Pageof 14

Showing results (31-40 of 136) with videos related to

Sort By:
Pageof 14
Sensors (Basel, Switzerland)|October 16, 2025
ASFT-Transformer: A Fast and Accurate Framework for EEG-Based Pilot Fatigue RecognitionJiming Liu, Yi Zhou, Qileng He, et al.
BMC Medical Research Methodology|December 20, 2014
Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile rangeXiang Wan, Wenqian Wang, Jiming Liu, et al.
IEEE Transactions on Cybernetics|May 27, 2014
Hybrid adaptive classifier ensembleZhiwen Yu, Le Li, Jiming Liu, et al.
Frontiers in Big Data|February 3, 2025
Toward a physics-guided machine learning approach for predicting chaotic systems dynamicsLiu Feng, Yang Liu, Benyun Shi, et al.
Nanoscale|February 7, 2020
A bifunctional nanoporous Ni-Co-Se electrocatalyst with a superaerophobic surface for water and hydrazine oxidationZhongbao Feng, Enping Wang, Shuai Huang, et al.
BMC Bioinformatics|August 28, 2015
Predicting protein function via downward random walks on a gene ontologyGuoxian Yu, Hailong Zhu, Carlotta Domeniconi, et al.
Bioinformatics (Oxford, England)|March 20, 2014
Piecewise-constant and low-rank approximation for identification of recurrent copy number variationsXiaowei Zhou, Jiming Liu, Xiang Wan, et al.
Statistical Methods in Medical Research|September 30, 2016
Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile rangeDehui Luo, Xiang Wan, Jiming Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 9, 2016
Social Collaborative Filtering by TrustBo Yang, Yu Lei, Jiming Liu, et al.
Infectious Diseases of Poverty|March 1, 2023
TransCode: Uncovering COVID-19 transmission patterns via deep learningJinfu Ren, Mutong Liu, Yang Liu, et al.
Pageof 14