Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines. - Kukjin Choi; Jihun Yi; Changhwa Park; Sungroh Yoon (IEEE Access, 2021)

Towards a Rigorous Evaluation of Time-Series Anomaly Detection. - Siwon Kim; Kukjin Choi; Hyun-Soo Choi; Byunghan Lee; Sungroh Yoon (AAAI, 2022)

Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation. - Kukjin Choi; Jihun Yi; Jisoo Mok; Sungroh Yoon (CoRR, 2024)

AR-PPF: Advanced Resolution-Based Pixel Preemption Data Filtering for Efficient Time-Series Data Analysis. - Taewoong Kim; Kukjin Choi; Sungjun Kim (CoRR, 2024)