Byoung-Mo Koo

According to our database, Byoung-Mo Koo authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

2025

Anomaly Detection Framework With Contrastive Learning and Multiview Augmentation for Time-Series Domain Generalization.

Yeseul Lee, Seunghwan Song, Kwan-Yong Park, Byoung-Mo Koo, Jun-Geol Baek

IEEE Trans. Instrum. Meas., 2025

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

Memory augmented coherent probabilistic forecasts for hierarchically related time series.

Junyong Lee, Yunseon Byun, Byoung-Mo Koo, Jun-Geol Baek

Neurocomputing, 2025

Decomposed Degradation Pattern Alignment for Domain Adaptation in Machine Remaining Useful Life Prediction.

Byoung-Mo Koo, Yunseon Byun, Jun-Geol Baek

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2025

2024

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 Trans. Cloud Comput., 2024