Optimal Signal Control Using Adaptive Dynamic Programming. - Chang Ouk Kim; Yunsun Park; Jun-Geol Baek (ICCSA (4), 2005)

Meta-model Driven Collaborative Object Analysis Process for Production Planning and Scheduling Domain. - Chang Kim; Jun-Geol Baek; Jin Jun (ICCSA (5), 2006)

An Intelligent Manufacturing Process Diagnosis System Using Hybrid Data Mining. - Joon Hur; Hongchul Lee; Jun-Geol Baek (ICDM, 2006)

An Adaptive Inventory Control Model for a Supply Chain with Nonstationary Customer Demands. - Jun-Geol Baek; Chang Kim; Ick-Hyun Kwon (PRICAI, 2006)

Learning single-issue negotiation strategies using hierarchical clustering method. - Jun-Geol Baek; Chang Ouk Kim (Expert Syst. Appl., 2007)

Asynchronous action-reward learning for nonstationary serial supply chain inventory control. - Chang Ouk Kim; Ick-Hyun Kwon; Jun-Geol Baek (Appl. Intell., 2008)

Dispatching rule for non-identical parallel machines with sequence-dependent setups and quality restrictions. - Hyo-Heon Ko; Jihyun Kim 001; Sung-Shick Kim; Jun-Geol Baek (Comput. Ind. Eng., 2010)

Bootstrap-Based T2 Multivariate Control Charts. - Poovich Phaladiganon; Seoung Bum Kim; Victoria C. P. Chen; Jun-Geol Baek; Sun-Kyoung Park (Commun. Stat. Simul. Comput., 2011)

An integrated music video browsing system for personalized television. - Hyoung-Gook Kim; Jin Young Kim 002; Jun-Geol Baek (Expert Syst. Appl., 2011)

Intelligent adaptive process control using dynamic deadband for semiconductor manufacturing. - Hyo-Heon Ko; Jun-Seok Kim; Jihyun Kim 001; Jun-Geol Baek; Sung-Shick Kim (Expert Syst. Appl., 2011)

Spline regression based feature extraction for semiconductor process fault detection using support vector machine. - Jonghyuck Park; Ick-Hyun Kwon; Sung-Shick Kim; Jun-Geol Baek (Expert Syst. Appl., 2011)

Advanced semiconductor fabrication process control using dual filter exponentially weighted moving average. - Hyo-Heon Ko; Jihyun Kim 001; Sang-Hoon Park; Jun-Geol Baek; Sung-Shick Kim (J. Intell. Manuf., 2012)

Point and Interval Estimation Method for Auto-regressive Model with Nonnormal Error. - Bo Mi Lim; Jongwoo Kim; Sung-Shick Kim; Jun-Geol Baek (BigData Congress, 2013)

Data Mining Approaches for Packaging Yield Prediction in the Post-fabrication Process. - Seung Hwan Park; Cheong-Sool Park; Jun-Seok Kim; Sung-Shick Kim; Jun-Geol Baek; Daewoong An (BigData Congress, 2013)

Algorithm learning based neural network integrating feature selection and classification. - Hyunsoo Yoon; Cheong-Sool Park; Jun-Seok Kim; Jun-Geol Baek (Expert Syst. Appl., 2013)

Density weighted support vector data description. - Myungraee Cha; Jun-Seok Kim; Jun-Geol Baek (Expert Syst. Appl., 2014)

Solving the Singularity Problem of Semiconductor Process Signal Using Improved Dynamic Time Warping. - Jae Yeol Hong; Seung Hwan Park; Jun-Geol Baek (ICSC, 2017)

Various Type of Wavelet Filters on Time Series Forecasting. - Keun-Tae Park; Jun-Geol Baek (ICSC, 2017)

Real-time contrasts control chart using random forests with weighted voting. - Seongwon Jang; Seung Hwan Park; Jun-Geol Baek (Expert Syst. Appl., 2017)

SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart. - In-Seok Lee; Jun-Geol Baek (AAAI, 2019)

Univiariate Signal Preprocessing Methodology for Fault Detection in Semiconductor Manufacturing Process. - Kyuchang Chang; Jun-Geol Baek (CSE/EUC, 2019)

Segmented Dynamic Time Warping Based Signal Pattern Classification. - Jae Yeol Hong; Seung Hwan Park; Jun-Geol Baek (CSE/EUC, 2019)

Generative Pseudorehearsal Strategy for Fault Classification Under an Incremental Learning. - Subin Lee; Jun-Geol Baek (CSE/EUC, 2019)

Oversampling method using outlier detectable generative adversarial network. - Joo-Hyuk Oh; Jae Yeol Hong; Jun-Geol Baek (Expert Syst. Appl., 2019)

Mixed Pattern Recognition Methodology on Wafer Maps with Pre-trained Convolutional Neural Networks. - Yunseon Byun; Jun-Geol Baek (ICAART (2), 2020)

New Anomaly Detection in Semiconductor Manufacturing Process using Oversampling Method. - Seunghwan Song; Jun-Geol Baek (ICAART (2), 2020)

SSDTW: Shape segment dynamic time warping. - Jae Yeol Hong; Seung Hwan Park; Jun-Geol Baek (Expert Syst. Appl., 2020)

Random-forest-based real-time contrasts control chart using adaptive breakpoints with symbolic aggregate approximation. - In-Seok Lee; Seung Hwan Park; Jun-Geol Baek (Expert Syst. Appl., 2020)

Incremental learning using generative-rehearsal strategy for fault detection and classification. - Subin Lee; Kyuchang Chang; Jun-Geol Baek (Expert Syst. Appl., 2021)

A reinforcement learning approach to distribution-free capacity allocation for sea cargo revenue management. - Dong-Wook Seo; Kyuchang Chang; Taesu Cheong; Jun-Geol Baek (Inf. Sci., 2021)

Anomaly Detection Using Signal Segmentation and One-Class Classification in Diffusion Process of Semiconductor Manufacturing. - Kyuchang Chang; Youngji Yoo; Jun-Geol Baek (Sensors, 2021)

Image Synthesis with Single-type Patterns for Mixed-type Pattern Recognition on Wafer Bin Maps. - Yunseon Byun; Jun-Geol Baek (ICAIIC, 2022)

Similarity-based Local Feature Extraction for Wafer Bin Map Pattern Recognition. - Jieun Kim; Jun-Geol Baek (ICAIIC, 2022)

Defect Information Synthesis via Latent Mapping Adversarial Networks. - Seunghwan Song; Jun-Geol Baek (ICAIIC, 2022)

Bagging ensemble-based novel data generation method for univariate time series forecasting. - Donghwan Kim; Jun-Geol Baek (Expert Syst. Appl., 2022)

AGV dispatching algorithm based on deep Q-network in CNC machines environment. - Kyuchang Chang; Seung Hwan Park; Jun-Geol Baek (Int. J. Comput. Integr. Manuf., 2022)

Interaction-based Fault Detection and Classification Using Randomly Masked 1D Convolutional Neural Network. - Jueun Kim; Seunghwan Song; Woo Young Hwang; Jun-Geol Baek (ICAIIC, 2023)

Time Series Anomaly Detection Using Contrastive Learning based One-Class Classification. - Yeseul Lee; Yunseon Byun; Jun-Geol Baek (ICAIIC, 2023)

Multivariate Time Series Anomaly Detection via Temporal Encoder with Normalizing Flow. - Jiwon Moon; Seunghwan Song; Jun-Geol Baek (ICAIIC, 2023)

TFE-NET: Time and Feature focus Embedding Network for Multivariate-to-Multivariate Time Series Forecasting. - Seungchan Roh; Yonggon Jung; Jun-Geol Baek (ICAIIC, 2023)

Representation Learning for Wafer Pattern Recognition in Semiconductor Manufacturing Process. - Seunghwan Song; Jun-Geol Baek (ICAIIC, 2023)

DSP R-CNN: Direct Set Prediction Region with CNN features. - KwanYong Park; Jun-Geol Baek (ICAIIC, 2024)

Patch-Based Time-Series Anomaly Detection with Cross-Variable Attention. - Jeena Son; Seunghwan Song; Jun-Geol Baek (ICAIIC, 2024)

Reinforcement Learning for Time Series Data with Partially Labeled Anomalies. - Kio Yun; Jun-Geol Baek (ICAIIC, 2024)

Human Understanding from Lifelog Data via Mobile Sensors Using a GRU Network with Attention Mechanism. - Jiyul Ham; Yoonji Ha; Keonhyeok Yoo; Jun-Geol Baek (ICTC, 2024)

Production System Maturity Model (PSMM) for Assessing Manufacturing Execution System. - Dae-Jung Ahn; Changdong Jun; Seunghwan Song; Jun-Geol Baek (IEEE Access, 2024)

GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection. - Jiyul Ham; Yonggon Jung; Jun-Geol Baek (CoRR, 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)

Cyclic Pattern-Based Anomaly Detection in Smart Manufacturing Systems using Contrastive Learning. - Wonhwa Choi; Jun-Geol Baek (ICAIIC, 2025)

DHR-CLIP: Dynamic High-Resolution Object-Agnostic Prompt Learning for Zero-shot Anomaly Segmentation. - Jiyul Ham; Jun-Geol Baek (ICAIIC, 2025)

Decomposed Degradation Pattern Alignment for Domain Adaptation in Machine Remaining Useful Life Prediction. - Byoung-Mo Koo; Yunseon Byun; Jun-Geol Baek (ICAIIC, 2025)

Memory augmented coherent probabilistic forecasts for hierarchically related time series. - Junyong Lee; Yunseon Byun; Byoung-Mo Koo; Jun-Geol Baek (Neurocomputing, 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)

Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals. - Yunseon Byun; Daeju Maeng; Jun-Geol Baek (Int. J. Prod. Res., 2025)

Autonomous PID Tuning: Two-Phase Reinforcement Learning Through Adversarial Imitation Learning Under Imperfect Demonstrations. - Gon Kim; Kyuchang Chang; Yunseon Byun; Jun-Geol Baek (IEEE Trans Autom. Sci. Eng., 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)