JOURNAL PUBLICATIONS
EP Chou*, B-C Hsieh, Enhancing Anomaly Detection in Structured Data Using Siamese Neural Networks as a Feature Extractor, Mathematics, 2025, 13(7), 1090.
F Hsieh*, HW Kao, EP Chou*,Topological Risk-Landscape in Metric-Free Categorical Database, IEEE Access, 2024, Vol.12 pp.66296-66318
TL Chen, EP Chou, MY Chen, F Hsieh*, Unraveling implicit human behavioral effects on dynamic characteristics of Covid-19 daily infection rates in Taiwan, PLOS ONE, 2024, 19(2): e0298049. https://doi.org/10.1371/journal.pone.0298049
E. P. Chou* and S-P Yang, A virtual multi-label approach to imbalanced data classification, Communications in Statistics - Simulation and Computation, 2024, 53:3, 1461-1471, DOI: 10.1080/03610918.2022.2049820
F. Hsieh, E. P. Chou, T.-L. Chen*, Multiscale major factor selections for complex system data with structural dependency and heterogeneity, Physica A: Statistical Mechanics and its Applications, Volume 630, 2023,129227
Y.-H. Yan, T.-B. Chen, C.-P. Yang, I-J. Tsai, H.-L. Yu, Y.-S. Wu, W.-J. Huang, S.-T. Tseng, T.-Y. Peng, E. P. Chou*, Long-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning methods. Scientific Reports, 2022 12, 17130
T.-L. Chen, F. Hsieh, E. P. Chou*, Learned Practical Guidelines for Evaluating Conditional Entropy and Mutual Information in Discovering Major Factors of Response-vs.-Covariate Dynamics, Entropy, 2022, 24(10), 1382
J. C. Yue, E. P. Chou*, M-H Hsieh, and L-C Hsiao, A study of forecasting tennis matches via the Glicko model, PLoS ONE, 2022, 17(4): e0266838
E. P. Chou, T.-L. Chen, and F. Hsieh, Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems, Entropy, 2022, 24(2), 170; doi:10.3390/e24020170
T.-L. Chen, E. P. Chou, and F. Hsieh, Categorical nature of major factor selection via Information Theoretical measurements, Entropy, 2021, 23(12), 1684
E. Chou, Y.-C. Hsieh, S. Enriquez, and F. Hsieh, Evaluating reliability of tree-patterns in extreme-K categorical samples problems, Journal of Statistical Computation and Simulation, pp. 1-22, 2021, doi: 10.1080/00949655.2021.1951266
F. Hsieh and E. P. Chou, Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching Dynamics, Entropy, vol. 23, no. 7, 2021, doi: 10.3390/e23070792
F. Hsieh, E. P. Chou, and T.-L. Chen, Mimicking Complexity of Structured Data Matrix’s Information Content: Categorical Exploratory Data Analysis, Entropy, vol. 23, no. 5, 2021, doi: 10.3390/e23050594
C. P. Chou and E. P. T. Chou, Perceived parental psychological control and behavioral control among emerging adults: A cross-cultural study between the U.S. and Taiwan, Current Psychology, vol. 39, no. 6, pp. 2052-2064, 2020/12/01 2020, doi: 10.1007/s12144-018-9893-8
E. P. Chou and S.-M. Hsu, 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, 2018/02/01/ 2018, doi: https://doi.org/10.1016/j.jneumeth.2017.12.007
Farias, S. T., Chou, E., Harvey, D. J., Mungas, D., Reed, B., DeCarli, C., Park, L. Q. and Beckett, L. Longitudinal Trajectories of Everyday Function by Diagnostic Status. Psychology and Aging. Vol 28(4), Dec 2013, 1070-1075. doi: 10.1037/a0034069
Chou, E., Ko, T-W. Dimension Reduction of High-Dimensional Datasets Based on Stepwise SVM, arXiv preprint, arXiv:1711.03346
CONFERENCE PUBLICATIONS
Chou C, Chou, E., and Lee, CH. Perceived parental control and risk-taking from a machine learning approach. The European Conference on Psychology & the Behavioral Sciences (ECP) 2018 Official Conference Proceedings. Japan: The International Academic Forum, 2018
Chou, E. Data Driven Geometry for Learning. Machine Learning and Data Mining in Pattern Recognition. Springer International Publishing, 2015. 395-402
Chou, E., Hsieh, F. and Capitanio, J. Computed data-geometry based supervised and semi-supervised learning in High Dimensional Data. In: Proceedings of IEEE 12th International Conference on Machine Learning and Applications (ICMLA 2013), Miami, FL, USA, December 4-7, 2013
ARTICLES
周珮婷, 從特徵擷取到模型簡化：以孿生神經網路打造可解釋又高效的分類與異常偵測架構, 科學推展中心 SPEC Monthly 第48期(2025.07)
周珮婷, 大數據金融創新應用, 財金資訊季刊, 第110期, 頁42-49, 2024年 (Financial Information Quarterly Journal, v110, 42-49 (2024))
書籍審定, 只要 Excel 六步驟，你也能做商業分析、解讀數據，學會用統計說故事：競爭分析、定價策略、營運管理、效益評估, December, 2021
PRESENTATION AT PROFESSIONAL CONFERENCES
Invited Speaker, 2024 International Conference for Statistics and Data Science, 政治大學, July 9-10, 2024
Invited Speaker, the 33rd South Taiwan Statistics Conference, 中山大學, June 27-28, 2024
Oral Presentation, IASC-ARS Conference 2023, Macquarie university, Australia, December 6-8, 2023
Oral Presentation, 2023 Joint Statistical Meetings (JSM 2023), Toronto, Canada, August 5-10, 2023
Invited Speaker, the 32nd South Taiwan Statistics Conference, 東華大學, June 29-30, 2023
Invited Speaker, IASC-ARS Interim Conference 2022, Online, December 12-13, 2022
Invited Speaker, 111年統計學術研討會, 淡江大學, December 9, 2022
Invited Speaker, 110年統計學術研討會, 輔仁大學, December 10, 2021
Invited Speaker, 2021人工智慧與精準醫療趨勢論壇, 淡江大學, October 22, 2021
Invited Speaker, the 29th South Taiwan Statistics Conference, Taiwan, August 20-21, 2020.
Oral Presentation, 2019 Joint Statistical Meetings (JSM 2019), Denver, USA, July 27-August 1, 2019
Oral Presentation, 2018 Joint Statistical Meetings (JSM 2018), Vancouver, BC, Canada, July 28-August 2, 2018
Invited Speaker, 第11屆海峽兩岸機率與統計研討會(CSPSC2018), Taiwan, May 31-June 2, 2018
Oral Presentation, 2017 IASC-ARS/NZSA Conference, Auckland, New Zealand, December 11-14, 2017
Invited Speaker, the 26th South Taiwan Statistics Conference, Taiwan, June 23-24, 2017
Oral Presentation, 2016 Joint Statistical Meetings (JSM 2016), Chicago, USA, July 30- August 4, 2016
Invited Speaker, the 9th Conference of the Asian Regional Section of the IASC (IASC-ARS 2015), Singapore, December 17-19, 2015
Invited Speaker, International Statistical Symposium CSA-KSS-JSS, Special Invited Sessions: Machine learning, Okayama University, Japan, September 6-9, 2015
Oral Presentation, the 11th International Conference Machine Learning and Data Mining in Pattern Recognition (MLDM 2015), Hamburg, Germany, July 20-23, 2015
Invited Speaker, the 24th South Taiwan Statistics Conference, Taiwan, June 27-28, 2015
Invited Speaker, the 1st International Conference on Big Data & Applied Statistics, Beijing, China, November 28-30, 2014
Poster Presentation, the 12th International Conference on Machine Learning and Applications (ICMLA 2013), Miami, FL, USA, December 4-7, 2013
INVITED SEMINARS
Seminar Talk at the Institute of Statistics, National University Kaohsiung, Taiwan, December 11, 2024
Seminar Talk at 財管/國貿/金融博士班, National Chengchi University, Taiwan, October 18, 2024
Seminar Talk at Graduate Institute of. Statistics and Information Science, National Changhua University of Education, Taiwan, May 26, 2022
Seminar Talk at the Department of Statistics, Tamkang University, Taiwan, November 4, 2021
Seminar Talk at the Institute of Statistics, National Yang Ming Chiao Tung University, Taiwan, April 16, 2021
Seminar Talk at the Department of Statistics, National Taipei University, Taiwan, September 30, 2020
Seminar Talk at the Department of Applied Mathematics, National Dong Hwa University, Taiwan, April 28, 2017
Seminar Talk at the Department of Statistics, National Taipei University, Taiwan, March 9, 2016
Seminar Talk at the Department of Information Management, National Taiwan University, Taiwan, November 25, 2015
Guest Lecture at the Department of Information Management, National Sun Yat-sen University, Taiwan, October 30, 2015
Seminar Talk at the Graduate Institute of Statistics, National Central University, Taiwan, October 27, 2015
Seminar Talk at the Institute of Statistics, National University Kaohsiung, Taiwan, September 16, 2015
Seminar Talk at the Department of Applied Mathematics, National Chung Hsing University, Taiwan, May 14, 2015
Seminar Talk at the Department of Statistics, National Chengchi University, Taiwan, April 20, 2015
Seminar Talk at the Department of Mathematics, National Chung Cheng University, Taiwan, April 15, 2015
Postdoctoral Seminar Talk at the Institute of Statistical Science, Academia Sinica, Taiwan, March 25, 2015
Joint Seminar Talk at the Institute of Statistics, National Chiao Tung University, Taiwan, March 13, 2015
Seminar Talk at the Department of Psychology, National Chengchi University, Taiwan, November 16, 2014
PROFESSIONAL EXPERIENCE
Director, Office of Student Affairs and Alumni Services (OSAAS), College of Commerce, National Chengchi University, Taiwan, August 2023-Now
Associate Professor, Department of Statistics, National Chengchi University, Taiwan, Feb 2022-Now
Guest Editor of Mathematics (2024-present)
SI: Statistics and Stochastic Modeling in Bioinformatics and Computational Biology
講師, 文字探勘與社會網路分析, 行政院主計總處大數據處理及分析習班第1&2期, Jan 2024 & Jan 2025
講師, 文字探勘與社會網絡分析講座, 教育部統計處, Jan 2024
講師, 統計方法與大數據未來發展趨勢, 台電, December, 2022
講師, 應用統計分析研習班及巨量資料處理研習班, 桃園市政府主計處, January 5 & 11, 2022
講師, Grow with Google Taiwan 系列課程：探索機器學習入門（初階）, 新北市林口區仁愛路二段496號 林口新創園, November 13, 2020
Google Explore ML 種子講師, 2020
Assistant Research Fellow, Research Center for Mind, Brain & Learning, National Chengchi University, Taiwan, August 2015-July 2017
Research Assistant, Department of Statistics, University of California, Davis, CA USA, 2010 - June 2014
Research Assistant, Department of Biostatistics, Columbia University, New York, NY USA, Winter 2008
Intern, Institute of Biomedical Science, Academia Sinica, Taiwan Summer, 2008
Research Assistant, WTO Center at the Chung-Hua Institution for Economic Research, Taiwan, 2004 - 2006