Forecasting trends of high-frequency KOSPI200 index data using learning classifiers. - Youngdoo Son; Dong-jin Noh; Jaewook Lee 001 (Expert Syst. Appl., 2012)

Voronoi Cell-Based Clustering Using a Kernel Support. - Kyoungok Kim; Youngdoo Son; Jaewook Lee 001 (IEEE Trans. Knowl. Data Eng., 2015)

Self-correcting ensemble using a latent consensus model. - Namhyoung Kim; Youngdoo Son; Youngjo Lee 001; Jaewook Lee 001 (Appl. Soft Comput., 2016)

Nonparametric machine learning models for predicting the credit default swaps: An empirical study. - Youngdoo Son; Hyeongmin Byun; Jaewook Lee 001 (Expert Syst. Appl., 2016)

Active learning using transductive sparse Bayesian regression. - Youngdoo Son; Jaewook Lee 001 (Inf. Sci., 2016)

Regression with re-labeling for noisy data. - Youngdoo Son; Seokho Kang 001 (Expert Syst. Appl., 2018)

Learning representative exemplars using one-class Gaussian process regression. - Youngdoo Son; Sujee Lee; Saerom Park; Jaewook Lee 001 (Pattern Recognit., 2018)

Generalized support vector data description for anomaly detection. - Mehmet Turkoz; Sangahn Kim; Youngdoo Son; Myong K. Jeong; Elsayed A. Elsayed (Pattern Recognit., 2020)

Design of an Always-On Image Sensor Using an Analog Lightweight Convolutional Neural Network. - Jaihyuk Choi; Sungjae Lee; Youngdoo Son; Soo Youn Kim (Sensors, 2020)

Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods. - Muhammad Fazal Ijaz; Muhammad Attique 001; Youngdoo Son (Sensors, 2020)

Dynamical Properties of Ion-Acoustic Waves in Space Plasma and Its Application to Image Encryption. - Jharna Tamang; Jean De Dieu Nkapkop; Muhammad Fazal Ijaz; Punam Kumari Prasad; Nestor Tsafack; Asit Saha; Jacques Kengne; Youngdoo Son (IEEE Access, 2021)

Weighted co-association rate-based Laplacian regularized label description for semi-supervised regression. - Jaehong Yu; Youngdoo Son (Inf. Sci., 2021)

Fuzzy kernel K-medoids clustering algorithm for uncertain data objects. - Behnam Tavakkol; Youngdoo Son (Pattern Anal. Appl., 2021)

An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm. - Shanky Goyal; Shashi Bhushan; Yogesh Kumar 002; Abu ul Hassan Sarwar Rana; Muhammad Raheel Bhutta; Muhammad Fazal Ijaz; Youngdoo Son (Sensors, 2021)

Multitask learning with single gradient step update for task balancing. - Sungjae Lee; Youngdoo Son (Neurocomputing, 2022)

Restricted Relevance Vector Machine for Missing Data and Application to Virtual Metrology. - Jeongsub Choi; Youngdoo Son; Myong K. Jeong (IEEE Trans Autom. Sci. Eng., 2022)

A 0.57 mW@1 FPS In-Column Analog CNN Processor Integrated Into CMOS Image Sensor. - Bohyeok Jeong; Jaehwan Lee; Jaihyuk Choi; Minkyu Song; Youngdoo Son; Soo Youn Kim (IEEE Access, 2023)

Categorizing affective response of customer with novel explainable clustering algorithm: The case study of Amazon reviews. - Wonjoon Kim; Keonwoo Nam; Youngdoo Son (Electron. Commer. Res. Appl., 2023)

A 240-FPS In-Column Binarized Neural Network Processing in CMOS Image Sensors. - Bohyeok Jeong; Jaehwan Lee; Suhyeon Lee 003; Soyeon Lee; Youngdoo Son; Soo Youn Kim (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Learning Representation for Multitask Learning Through Self-supervised Auxiliary Learning. - Seokwon Shin; Hyungrok Do; Youngdoo Son (ECCV (80), 2024)

Spatio-Temporal Consistency for Multivariate Time-Series Representation Learning. - Sangho Lee; Wonjoon Kim; Youngdoo Son (IEEE Access, 2024)

Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method. - Hoki Kim; Sangho Lee; Jaewook Lee 001; Woojin Lee; Youngdoo Son (Eng. Appl. Artif. Intell., 2024)

Multi-stage ensemble with refinement for noisy labeled data classification. - Chihyeon Choi; Woojin Lee; Youngdoo Son (Expert Syst. Appl., 2024)

Relation-preserving masked modeling for semi-supervised time-series classification. - Sangho Lee; Chihyeon Choi; Youngdoo Son (Inf. Sci., 2024)

Deep time-series clustering via latent representation alignment. - Sangho Lee; Chihyeon Choi; Youngdoo Son (Knowl. Based Syst., 2024)

Graph contrastive learning with consistency regularization. - Soohong Lee; Sangho Lee; Jaehwan Lee; Woojin Lee; Youngdoo Son (Pattern Recognit. Lett., 2024)

Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network. - Sangho Lee; Jeongsub Choi; Youngdoo Son (Ann. Oper. Res., 2024)

Gaussian kernel with correlated variables for incomplete data. - Jeongsub Choi; Youngdoo Son; Myong K. Jeong (Ann. Oper. Res., 2024)

Mixing High-Frequency Bands Based on Wavelet Decomposition for Long-Term State-of-Charge Forecasting of Lithium-Ion Batteries. - Yeseo Joo; Chihyeon Choi; Sangho Lee; Youngdoo Son (IEEE Access, 2025)

Black-box adversarial examples via frequency distortion against fault diagnosis systems. - Sangho Lee; Hoki Kim; Woojin Lee; Youngdoo Son (Appl. Soft Comput., 2025)

Batch active learning for time-series classification with multi-mode exploration. - Sangho Lee; Chihyeon Choi; Hyungrok Do; Youngdoo Son (Inf. Sci., 2025)

Homomorphic encryption-based fault diagnosis in IoT-enabled industrial systems. - Hoki Kim; Youngdoo Son; Junyoung Byun (Int. J. Inf. Sec., 2025)