PEI-TING CHOU
Status Full-time
Name PEI-TING CHOU
Email
Office Tel No. 81035
Job Title Associate Professor
Research Expertise Statistics, Machine Learning, Biostatistics
Teaching Field 統計學、機器學習、生物統計
Unit Dept. of Statistics
Year Paper Title
2024 Hsieh Fushing*;Hong-Wei Kao;Elizabeth P. Chou*, 2024.05, 'Topological Risk-Landscape in Metric-Free Categorical Database, ' IEEE Access, Vol.12, pp.66296-66318.(SCIE)(*為通訊作者), vol. 120048, May. 2024
2024 Ting-Li Chen;Elizabeth P. Chou;Min-Yi Chen;Fushing Hsieh*, 2024.02, 'Unraveling implicit human behavioral effects on dynamic characteristics of Covid-19 daily infection rates in Taiwan, ' PLOS ONE, Vol.19, No.(2), pp.e0298049.(SCIE)(*為通訊作者), vol. 117669, Feb. 2024
2023 Hsieh Fushing;Elizabeth P. Chou;Ting-Li Chen*, 2023.11, 'Multiscale major factor selections for complex system data with structural dependency and heterogeneity, ' Physica A: Statistical Mechanics and its Applications, Vol.630, pp.129227.(SCIE)(*為通訊作者), vol. 112129, Nov. 2023
2022 Yuan‑Horng Yan;Elizabeth P. Chou*;Ting-Bin Chen;Chun-Pai Yang;I-Ju Tsai,;Hwa-Lung Yu;Yuh-Shen Wu;Winn-Jung Huang;Shih-Ting Tseng;Tzu-Yu Peng, 2022.10, 'Long-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning methods, ' Scientific Reports, Vol.12, No.17130, pp.online.(SCIE)(*為通訊作者), vol. 440774, Oct. 2022
2022 Ting-Li Chen;Hsieh Fushing;Elizabeth Chou*, 2022.09, 'Learned practical guidelines for evaluating Conditional Entropy and Mutual Information in discovering major factors of response-vs-covariate dynamics, ' Entropy, Vol.24, No.10, pp.1382.(SCIE)(*為通訊作者), vol. 440361, Sep. 2022
2022 Jack C. Yue;Elizabeth P. Chou*;Ming-Hui Hsieh;Li-Chen Hsiao, 2022.04, 'A study of forecasting tennis matches via the Glicko model, ' PLOS ONE, pp.online.(SCIE)(*為通訊作者), vol. 437017, Apr. 2022
2022 Elizabeth Chou*;Shan-Ping Yang, 2022.03, 'A Virtual Multi-label Approach to Imbalanced Data Classification, ' Communications in Statistics - Simulation and Computation, pp.online.(SCIE)(*為通訊作者), vol. 435241, Mar. 2022
2022 Elizabeth P. Chou;Ting-Li Chen;Hsieh Fushing*, 2022.01, 'Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems, ' Entropy, Vol.24, No.2, pp.170.(SCIE, SCOPUS)(*為通訊作者), vol. 434947, Jan. 2022
2021 Ting-Li Chen*;Elizabeth Chou;Hsieh Fushing*, 2021.12, 'Categorical Nature of Major Factor Selection via Information Theoretic Measurements, ' Entropy, Vol.23, No.12, pp.1684.(SCIE, SCOPUS)(*為通訊作者), vol. 434931, Dec. 2021
2021 Elizabeth Chou;Yin-Chen Hsieh;Sabrina Enriquez;Fushing Hsieh*, 2021.07, 'Evaluating reliability of tree-patterns in extreme-K categorical samples problems, ' Journal of Statistical Computation and Simulation, pp.online.(SCIE, SCOPUS)(*為通訊作者), vol. 430968, Jul. 2021
2021 Fushing Hsieh*;Elizabeth Chou, 2021.06, 'Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching Dynamics, ' Entropy, Vol.23, No.7, pp.792.(SCIE, SCOPUS)(*為通訊作者), vol. 430895, Jun. 2021
2021 Fushing Hsieh*;Elizabeth Chou;Ting-Li Chen, 2021.05, 'Mimicking Complexity of Structured Data Matrix’s Information Content: Categorical Exploratory Data Analysis, ' Entropy, Vol.23, No.5, pp.594.(SCIE, SCOPUS)(*為通訊作者), vol. 430719, May. 2021
2020 Catherine Chou*;周珮婷, 2020.12, 'Perceived parental psychological control and behavioral control among emerging adults: A cross-cultural study between the U.S. and Taiwan, ' Current Psychology, Vol.39, pp.2052–2064.(SSCI)(*為通訊作者), vol. 418898, Dec. 2020
2018 周珮婷;Shen-Mou Hsu*, 2018.02, 'Cosine similarity as a sample size-free measure to quantify phase clustering within a single neurophysiological signal, ' Journal of Neuroscience Methods, Vol.295, pp.111-120.(SCI)(*為通訊作者), vol. 417809, Feb. 2018
2013 Sarah Tomaszewski Farias*;Elizabeth Chou;Danielle J. Harvey;Dan Mungas;Bruce Reed;Charles DeCarli, 2013.12, 'Longitudinal trajectories of everyday function by diagnostic status., ' Psychology and Aging, Vol.28, No.4, pp.1070-1075.(SSCI)(*為通訊作者), vol. 404846, Dec. 2013
Project Category Year Project Title Participator Job Title Period Unit
MOST Projects 113 提升神經網路模型效能的創新層 CHOU PEI-TING Principal Investigator 2024.08 ~ 2025.07 National Science and Technology Council
MOST Projects 112 數據驅動之不平衡資料學習 CHOU PEI-TING Principal Investigator 2023.08 ~ 2024.07 National Science and Technology Council
Other Projects 111 大數據精準行銷模型優化之建置 CHENG TSUNG-CHI,CHOU PEI-TING 2022.12 ~ 2023.07
MOST Projects 111 數據驅動學習之異常偵測 CHOU PEI-TING Principal Investigator 2022.08 ~ 2023.09 National Science and Technology Council
MOST Projects 108 不平衡高維資料學習 CHOU PEI-TING Principal Investigator 2019.08 ~ 2021.03 National Science and Technology Council
MOST Projects 107 數據驅動的學習與解讀:阿茲海默症 CHOU PEI-TING Principal Investigator 2018.08 ~ 2019.09 National Science and Technology Council
MOST Projects 104 功能性磁振造影資料解碼 CHOU PEI-TING Principal Investigator 2015.08 ~ 2016.09 National Science and Technology Council
MOST Projects 103 數據驅動的幾何學習 CHOU PEI-TING Principal Investigator 2014.10 ~ 2015.07 National Science and Technology Council
Country School Name Department Degree Duration
U.S.A. University of California, Davis Statistics 博士 2009.09 ~ 2014.06
Experience Category Organization Title Department Job Title Duration
Current NATIONAL CHENGCHI UNIVERSITY Department of Statistics 副教授 2022.02 ~ Up to today
Current NATIONAL CHENGCHI UNIVERSITY Department of Statistics 助理教授 2014.08 ~ 2022.02
Part Time NATIONAL CHENGCHI UNIVERSITY Office of Student Affairs Services and Alumni Services 主任 2023.08 ~ Up to today
Honor Category Year Award Name Awarding Unit
Inside School 111 商學院教學特優獎 商學院
Inside School 106 商學院教學優良獎 商學院
Inside School 105 學士班英語專業績優課程 政大
Inside School 105 商學院教學優良獎 商學院
Inside School 104 績優教學助理課程 政大
Year Paper Title
2018 Catherine Chou*;周珮婷;Cheng Hsian Lee, 2018.08, 'Perceived parental control and risk-taking from a machine learning approach., ' The European Conference on Psychology & the Behavioral Sciences 2018 Official Conference Proceedings, IAFOR, pp.13-23.(*為通訊作者), Aug. 2018
2015 Elizabeth P. Chou*, 2015.07, 'Data Driven Geometry for Learning, ' Machine Learning and Data Mining in Pattern Recognition, Perner, Petra, pp.395-402.(*為通訊作者), Jul. 2015
2013 Elizabeth Chou*;Fushing Hsieh;John Capitanio, 2013.12, 'Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional Data, ' ICMLA '13 Proceedings of the 2013 12th International Conference on Machine Learning and Applications - Volume 01, IEEE, pp.277-282.(IEEE)(*為通訊作者), Dec. 2013