Sequential manifold learning for efficient churn prediction. - Kyoungok Kim; Jaewook Lee 001 (Expert Syst. Appl., 2012)

Improved churn prediction in telecommunication industry by analyzing a large network. - Kyoungok Kim; Chi-Hyuck Jun; Jaewook Lee 001 (Expert Syst. Appl., 2014)

Nonlinear Dynamic Projection for Noise Reduction of Dispersed Manifolds. - Kyoungok Kim; Jaewook Lee 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Inductive manifold learning using structured support vector machine. - Kyoungok Kim; Daewon Lee (Pattern Recognit., 2014)

Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction. - Kyoungok Kim; Jaewook Lee 001 (Pattern Recognit., 2014)

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

Gradients Weights improve Regression and Classification. - Samory Kpotufe; Abdeslam Boularias; Thomas Schultz 001; Kyoungok Kim (J. Mach. Learn. Res., 2016)

A hybrid classification algorithm by subspace partitioning through semi-supervised decision tree. - Kyoungok Kim (Pattern Recognit., 2016)

A weighted k-modes clustering using new weighting method based on within-cluster and between-cluster impurity measures. - Kyoungok Kim (J. Intell. Fuzzy Syst., 2017)

A hybrid decision tree algorithm for mixed numeric and categorical data in regression analysis. - Kyoungok Kim; Jung-Sik Hong (Pattern Recognit. Lett., 2017)

An improved semi-supervised dimensionality reduction using feature weighting: Application to sentiment analysis. - Kyoungok Kim (Expert Syst. Appl., 2018)

Trigonometric comparison measure: A feature selection method for text categorization. - Kyoungok Kim; See Young Zzang (Data Knowl. Eng., 2019)

Semi-supervised distributed representations of documents for sentiment analysis. - Saerom Park; Jaewook Lee 001; Kyoungok Kim (Neural Networks, 2019)

Identifying the Structure of Cities by Clustering Using a New Similarity Measure Based on Smart Card Data. - Kyoungok Kim (IEEE Trans. Intell. Transp. Syst., 2020)

Noise Avoidance SMOTE in Ensemble Learning for Imbalanced Data. - Kyoungok Kim (IEEE Access, 2021)

An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data. - Dohyun Lee; Kyoungok Kim (Expert Syst. Appl., 2021)

Investigation on Viewing Behaviors for Home Shopping Channels Using Large-Scale TV Log Data. - Kyoungok Kim (Int. J. Knowl. Syst. Sci., 2021)

Normalized class coherence change-based kNN for classification of imbalanced data. - Kyoungok Kim (Pattern Recognit., 2021)

Improved noise-filtering algorithm for AdaBoost using the inter-and intra-class variability of imbalanced datasets. - Dohyun Lee; Kyoungok Kim (J. Intell. Fuzzy Syst., 2022)

An improved similarity measure for collaborative filtering-based recommendation system. - Cheong Rok Lee; Kyoungok Kim (Int. J. Knowl. Based Intell. Eng. Syst., 2022)

Spatial Contiguity-Constrained Hierarchical Clustering for Traffic Prediction in Bike Sharing Systems. - Kyoungok Kim (IEEE Trans. Intell. Transp. Syst., 2022)

Collaborative filtering recommendation system based on improved Jaccard similarity. - Soon Hyeok Park; Kyoungok Kim (J. Ambient Intell. Humaniz. Comput., 2023)

A new similarity measure to increase coverage of rating predictions for collaborative filtering. - Kyoungok Kim (Appl. Intell., 2023)

AdaBoost.RDT: AdaBoost Integrated With Residual-Based Decision Tree for Demand Prediction of Bike Sharing Systems Under Extreme Demands. - Dohyun Lee; Kyoungok Kim (IEEE Access, 2024)

Fuzzy anomaly scores for Isolation Forest. - Kyoungok Kim (Appl. Soft Comput., 2024)

Fully Homomorphic Training and Inference on Binary Decision Tree and Random Forest. - Hojune Shin; Jina Choi; Dain Lee; Kyoungok Kim; Younho Lee (IACR Cryptol. ePrint Arch., 2024)

Two-step model based on XGBoost for predicting artwork prices in auction markets. - Kyoungok Kim; Jong Baek Kim (Int. J. Knowl. Based Intell. Eng. Syst., 2024)

Robust Isolation Forest using Soft Sparse Random Projection and Valley Emphasis Method. - Hun Kang; Kyoungok Kim (CoRR, 2025)