Feature selection using distributions of orthogonal PLS regression vectors in spectral data. - Geonseok Lee; Kichun Lee 001 (BioData Min., 2021)

Online sequential extreme studentized deviate tests for anomaly detection in streaming data with varying patterns. - Minho Ryu; Geonseok Lee; Kichun Lee 001 (Clust. Comput., 2021)

Dual recurrent neural networks using partial linear dependence for multivariate time series. - Hyungjin Park; Geonseok Lee; Kichun Lee 001 (Expert Syst. Appl., 2022)

Online dependence clustering of multivariate streaming data using one-class SVMs. - Geonseok Lee; Kichun Lee 001 (Int. J. Intell. Syst., 2022)

Knowledge distillation for BERT unsupervised domain adaptation. - Minho Ryu; Geonseok Lee; Kichun Lee 001 (Knowl. Inf. Syst., 2022)

DNN compression by ADMM-based joint pruning. - Geonseok Lee; Kichun Lee 001 (Knowl. Based Syst., 2022)

Probabilistic orthogonal-signal-corrected principal component analysis. - Geonseok Lee; Eunchan Sim; Youngju Yoon; Kichun Lee 001 (Knowl. Based Syst., 2023)

Adaptive boosting for ordinal target variables using neural networks. - Insung Um; Geonseok Lee; Kichun Lee 001 (Stat. Anal. Data Min., 2023)

Anomaly Detection Using an Ensemble of Multi-Point LSTMs. - Geonseok Lee; Youngju Yoon; Kichun Lee 001 (Entropy, 2023)

Data generation using geometrical edge probability for one-class support vector machines. - Geonseok Lee; Pilwon Woo; Kichun Lee 001 (Expert Syst. Appl., 2023)

Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers. - Kichun Lee 001; Sunghun Hwangbo; Dongwook Yang; Geonseok Lee (Int. J. Comput. Intell. Syst., 2023)

A two-layer regression network for robust and accurate domain adaptation. - Geonseok Lee; Kichun Lee 001 (Pattern Recognit., 2025)