Publications – Young Geun Kim

Young Geun Kim, Changryong Baek (2023) Bayesian Vector Heterogeneous Autoregressive Modeling. JSCS. PDF DOI Dataset Codes
Jeong-Han Yun, Jonguk Kim, Won-Seok Hwang, Young Geun Kim, Simon S. Woo, Byung-Gil Min (2022) Residual Size is Not Enough for Anomaly Detection: Improving Detection Performance using Residual Similarity in Multivariate Time Series. SAC '22. DOI
Young Geun Kim, Jeong-Han Yun, Siho Han, Hyoung Chun Kim, Simon S. Woo (2021) Revitalizing Self-Organizing Map: Anomaly Detection using Forecasting Error Patterns. IFIP SEC 2021. PDF DOI Codes
Jinwoo Cho, Shahroz Tariq, Sangyup Lee, Young Geun Kim, Jeong-Han Yun, Jonguk Kim, Hyoung Chun Kim, Simon S. Woo (2019) Contextual Anomaly Detection by Correlated Probability Distributions using Kullback-Leibler Divergence. MILETS '19. PDF Codes