Application of Classification Methods for Forecasting Mid-Term Power Load Patterns. - Minghao Piao; Heon Gyu Lee; Jin Hyoung Park; Keun Ho Ryu (ICIC (3), 2008)

Discovery of Significant Classification Rules from Incrementally Inducted Decision Tree Ensemble for Diagnosis of Disease. - Minghao Piao; Jong Bum Lee; Khalid E. K. Saeed; Keun Ho Ryu (ADMA, 2009)

Emerging Patterns Based Methodology for Prediction of Patients with Myocardial Ischemia. - Minghao Piao; Heon Gyu Lee; Gyoyong Sohn; Gouchol Pok; Keun Ho Ryu (FSKD (1), 2009)

Incremental Emerging Patterns Mining for Identifying Safe and Non-safe Power Load Lines. - Jong Bum Lee; Minghao Piao; Keun Ho Ryu (CIT, 2010)

Using Significant Classification Rules to Analyze Korean Customers' Power Consumption Behavior: Incremental Tree Induction using Cascading-and-Sharing Method. - Minghao Piao; Meijing Li; Keun Ho Ryu (CIT, 2010)

IMTAR: Incremental Mining of General Temporal Association Rules. - Anour F. A. Dafa-Alla; Ho-Sun Shon; Khalid E. K. Saeed; Minghao Piao; Unil Yun; Kyung-Joo Cheoi; Keun Ho Ryu (J. Inf. Process. Syst., 2010)

Enumeration Tree Based Emerging Patterns Mining by Using Two Different Supports. - Minghao Piao; Jong Bum Lee; Ho-Sun Shon; Unil Yun; Keun Ho Ryu (ICHIT (1), 2011)

An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data. - Yongjun Piao; Minghao Piao; Kiejung Park; Keun Ho Ryu (Bioinform., 2012)

Emerging Pattern Based Prediction of Heart Diseases and Powerline Safety. - Keun Ho Ryu; Dong Gyu Lee; Minghao Piao (Contrast Data Mining, 2013)

One pass preprocessing for token-based source code clone detection. - Dingkun Li; Minghao Piao; Ho-Sun Shon; Keun Ho Ryu; Incheon Paik (iCAST, 2014)

A Data Mining Approach for Cardiovascular Disease Diagnosis Using Heart Rate Variability and Images of Carotid Arteries. - Hyeongsoo Kim; Ibrahim M. Ishag; Minghao Piao; Taeil Kwon; Keun Ho Ryu (Symmetry, 2016)

Subspace Frequency Analysis-Based Field Indices Extraction for Electricity Customer Classification. - Minghao Piao; Keun Ho Ryu (ACM Trans. Inf. Syst., 2016)

Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles. - Yongjun Piao; Minghao Piao; Keun Ho Ryu (Comput. Biol. Medicine, 2017)

Framework of an IoT-based Industrial Data Management for Smart Manufacturing. - Muhammad Saqlain; Minghao Piao; Youngbok Shim; Jong Yun Lee (J. Sens. Actuator Networks, 2019)

Symmetrical Uncertainty-Based Feature Subset Generation and Ensemble Learning for Electricity Customer Classification. - Minghao Piao; Yongjun Piao; Jong Yun Lee (Symmetry, 2019)

Wafer map defect pattern classification based on convolutional neural network features and error-correcting output codes. - Cheng Hao Jin; Hyun-Jin Kim; Yongjun Piao; Meijing Li; Minghao Piao (J. Intell. Manuf., 2020)

Semantic Segmentation-Based Wafer Map Mixed-Type Defect Pattern Recognition. - Jinda Yan; Yi Sheng; Minghao Piao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

CNN and ensemble learning based wafer map failure pattern recognition based on local property based features. - Minghao Piao; Cheng Hao Jin (J. Intell. Manuf., 2023)

Antecedent hash modality learning and representation for enhanced wafer map defect pattern recognition. - Minghao Piao; Cheng Hao Jin; Baojiang Zhong (Expert Syst. Appl., 2024)

Image Hash Layer Triggered CNN Framework for Wafer Map Failure Pattern Retrieval and Classification. - Minghao Piao; Yi Sheng; Jinda Yan; Cheng Hao Jin (ACM Trans. Knowl. Discov. Data, 2024)

Multi-scale guidance diffusion network for wafer map defect recognition. - Zuxiang Long; Jinda Yan; Minghao Piao (Expert Syst. Appl., 2025)

Improved wafer map defect pattern classification using automatic data augmentation based lightweight encoder network in contrastive learning. - Yi Sheng; Jinda Yan; Minghao Piao (J. Intell. Manuf., 2025)