발행물

전체 논문

104

1

Quality boost of tabular data synthesis using interpolative cumulative distribution function decoding and type-specific conditioner
Seungchan Roh, Seunghwan Song, Kwan-Yong Park, Byoung-mo Koo, Jun-Geol Baek
Neurocomputing, 2025.09

2

AW-CES: adaptively weighted-cumulative error scoring for autoencoder-based anomaly detection on unlabeled data
Cheolsoon Park, Seunghwan Song, Jun-Geol Baek
International Journal of Data Science and Analytics, 2025.03

3

Deep Clustering and Regression Ensemble Network for Lot Cycle Time Prediction in Semiconductor Wafer Fabrication
Beomseok Song, Seunghwan Song, Jun-Geol Baek
IEEE Transactions on Semiconductor Manufacturing, 2025

4

Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection
Seunghwan Song, Kyuchang Chang, Cheolsoon Park, Jun-Geol Baek
Journal of Intelligent Manufacturing, 2025

5

Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals
Yunseon Byun, Daeju Maeng, Jun-Geol Baek
International Journal of Production Research, 2024.11

6

Anomaly Detection Framework with Contrastive Learning and Multi-view Augmentation for Time Series Domain Generalization
Yeseul Lee, Seunghwan Song, Kwan-Yong Park, Byoung-mo Koo, Jun-Geol Baek
IEEE Transactions on Instrumentation and Measurement, 2024.11

7

Production System Maturity Model (PSMM) for Assessing Manufacturing Execution System
Dae-Jung Ahn, Changdong Jun, Seunghwan Song, Jun-Geol Baek
IEEE Access, 2024.09

8

Enhancing Long-Term Cloud Workload Forecasting Framework: Anomaly Handling and Ensemble Learning in Multivariate Time Series
Yeong-Min Kim, Seunghwan Song, Byoung-Mo Koo, Jeena Son, Yeseul Lee, Jun-Geol Baek
IEEE Transactions on Cloud Computing, 2024.05

9

Fault detection and diagnosis using two-stage attention-based variational LSTM in electrolytic copper manufacturing process
Jaejin Yoo, Seunghwan Song, Kyuchang Chang, Jun-Geol Baek
The International Journal of Advanced Manufacturing Technology, 2023.09

10

Bagging ensemble-based novel data generation method for univariate time series forecasting
Donghwan Kim, Jun-Geol Baek
Expert Systems with Applications, 2022.10