Research

Journal

International

• Kim, H., & Kim, H. (2023). Contextual anomaly detection for multivariate time series data. Quality Engineering, 35(4), 686-695. 

• Kim, H., & Kim, H. (2023). Contextual anomaly detection for high-dimensional data using Dirichlet process variational autoencoder. IISE Transactions, 55(5), 433-444. 

• Kim, H., & Kim, H. (2023). Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data. International Journal of Production Research, 61(4), 1101-1113. 

• Kim, K., Kim, H., Kim, V., & Kim, H. (2020). A Multiscale Spatially Varying Coefficient Model for Regional Analysis of Topsoil Geochemistry. Journal of Agricultural, Biological and Environmental Statistics, 25(1), 74-89. 

• Kim, H., & Kim, H. (2018). Functional logistic regression with fused lasso penalty. Journal of Statistical Computation and Simulation, 88(15), 2982-2999. 

Domestic

Conference

International

Domestic

• 김효중, & 김희영. (2017). 자기 상관성이 존재하는 복합형 데이터에 대한 이상 탐지 알고리즘. 대한산업공학회 추계학술대회 논문집, 1157-1184. 

• 김효중, & 김희영. (2016). Functional Logistic Regression with Fused Lasso Penalty. 대한산업공학회 춘계공동학술대회 논문집, 4126-4143.