Geonseok Lee

According to our database, Geonseok Lee authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A two-layer regression network for robust and accurate domain adaptation.

Geonseok Lee, Kichun Lee

Pattern Recognit., 2025

2023

Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers.

Kichun Lee, Sunghun Hwangbo, Dongwook Yang, Geonseok Lee

Int. J. Comput. Intell. Syst., December, 2023

Data generation using geometrical edge probability for one-class support vector machines.

Geonseok Lee, Pilwon Woo, Kichun Lee

Expert Syst. Appl., November, 2023

Anomaly Detection Using an Ensemble of Multi-Point LSTMs.

Geonseok Lee, Youngju Yoon, Kichun Lee

Entropy, November, 2023

Adaptive boosting for ordinal target variables using neural networks.

Insung Um, Geonseok Lee, Kichun Lee

Stat. Anal. Data Min., June, 2023

Probabilistic orthogonal-signal-corrected principal component analysis.

Geonseok Lee, Eunchan Sim, Youngju Yoon, Kichun Lee

Knowl. Based Syst., 2023

2022

DNN compression by ADMM-based joint pruning.

Geonseok Lee, Kichun Lee

Knowl. Based Syst., 2022

Knowledge distillation for BERT unsupervised domain adaptation.

Minho Ryu, Geonseok Lee, Kichun Lee

Knowl. Inf. Syst., 2022

Online dependence clustering of multivariate streaming data using one-class SVMs.

Geonseok Lee, Kichun Lee

Int. J. Intell. Syst., 2022

Dual recurrent neural networks using partial linear dependence for multivariate time series.

Hyungjin Park, Geonseok Lee, Kichun Lee

Expert Syst. Appl., 2022

2021

Online sequential extreme studentized deviate tests for anomaly detection in streaming data with varying patterns.

Minho Ryu, Geonseok Lee, Kichun Lee

Clust. Comput., 2021

Feature selection using distributions of orthogonal PLS regression vectors in spectral data.

Geonseok Lee, Kichun Lee

BioData Min., 2021