Hyukjun Gweon

Assistant Professor
Office: WSC 211
Phone: 519-661-2111 x87792
Email: hgweon@uwo.ca


 

 

Research Areas

  • Sparse-labeled Data Analysis
  • Predictive Model Assessment
  • Predictive Analytics in Actuarial Science
  • Automated coding for text/survey data

Graduate Student Supervision

Publications

Gweon, H. (2022). A power-controlled reliability assessment for multi-class probabilistic classifiers. Advances in Data Analysis and Classification, in press

Gweon, H., Li, S. (2021). Batch mode active learning for valuing large variable annuity portfolios. Insurance: Mathematics and Economics, 99, 105-115

Gweon, H., Yu, H. (2021). A nearest neighbor-based active learning method and its application to time series classification. Pattern Recognition Letters, 146, 230-236

Schonlau, M., Gweon, H., Wenemark, M. (2021). Automatic classification of open-ended questions: check-all-that-apply questions. Social Science Computer Review, 39(4), 562-572.

Gweon, H., Li, S., Mamon, R. (2020). An effective bias-corrected bagging method for valuing large variable annuity portfolios. ASTIN Bulletin, 50(3), 853-871

Gweon, H., Schonlau, M., Wenemark, M. (2020). Semi-automated classification for multi-label open-ended questions. Survey Methodology, 46(2), 265-282.

Zhang, X., Gweon, H., Provost, S. (2020). Threshold moving approaches for addressing the class imbalance problem and their application to multi-label classification. Proceedings of the 4th International Conference on Advances in Image Processing, 72–77

Gweon, H., Yu, H. (2019). How reliable is your reliability diagram? Pattern Recognition Letters, 125, 687-693

Gweon, H., Schonlau, M., Steiner, S. (2019). Nearest labelset using double distances for multi-label classification. PeerJ Computer Science, 5:e242

Gweon, H., Schonlau, M., Steiner, S. (2019). The k conditional nearest neighbor algorithm for classification and class probability estimation. PeerJ Computer Science 5:e194, 1-21

Gweon, H., Schonlau, M., Kaczmirek, L., Blohm, M., Steiner, S. (2017). Three methods for occupation coding based on statistical learning. Journal of Official Statistics, 33(1), 101-122.

McLeod, A.I., Gweon, H. (2013). Optimal deseasonalization for monthly and daily geophysical time series. Journal of Environmental Statistics, 4(11), 1-11.