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2020 – today
- 2024
[j26]Dohyun Lee
, Kyoungok Kim:
AdaBoost.RDT: AdaBoost Integrated With Residual-Based Decision Tree for Demand Prediction of Bike Sharing Systems Under Extreme Demands. IEEE Access 12: 144316-144336 (2024)- [j25]Kyoungok Kim:
Fuzzy anomaly scores for Isolation Forest. Appl. Soft Comput. 166: 112193 (2024) - [j24]Kyoungok Kim, Jong Baek Kim:
Two-step model based on XGBoost for predicting artwork prices in auction markets. Int. J. Knowl. Based Intell. Eng. Syst. 28(1): 133-147 (2024) - [c1]Hojune Shin, Jina Choi, Dain Lee, Kyoungok Kim, Younho Lee:
Fully Homomorphic Training and Inference on Binary Decision Tree and Random Forest. ESORICS (3) 2024: 217-237 - [i1]Hojune Shin, Jina Choi, Dain Lee, Kyoungok Kim, Younho Lee:
Fully Homomorphic Training and Inference on Binary Decision Tree and Random Forest. IACR Cryptol. ePrint Arch. 2024: 529 (2024) - 2023
- [j23]Kyoungok Kim:
A new similarity measure to increase coverage of rating predictions for collaborative filtering. Appl. Intell. 53(23): 28804-28818 (2023) - [j22]Soon Hyeok Park, Kyoungok Kim:
Collaborative filtering recommendation system based on improved Jaccard similarity. J. Ambient Intell. Humaniz. Comput. 14(8): 11319-11336 (2023) - 2022
- [j21]Dohyun Lee, Kyoungok Kim:
Improved noise-filtering algorithm for AdaBoost using the inter-and intra-class variability of imbalanced datasets. J. Intell. Fuzzy Syst. 43(4): 5035-5051 (2022) - [j20]Cheong Rok Lee, Kyoungok Kim:
An improved similarity measure for collaborative filtering-based recommendation system. Int. J. Knowl. Based Intell. Eng. Syst. 26(2): 137-147 (2022) - [j19]Kyoungok Kim:
Spatial Contiguity-Constrained Hierarchical Clustering for Traffic Prediction in Bike Sharing Systems. IEEE Trans. Intell. Transp. Syst. 23(6): 5754-5764 (2022) - 2021
- [j18]Kyoungok Kim:
Noise Avoidance SMOTE in Ensemble Learning for Imbalanced Data. IEEE Access 9: 143250-143265 (2021) - [j17]Dohyun Lee, Kyoungok Kim:
An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data. Expert Syst. Appl. 184: 115442 (2021) - [j16]Kyoungok Kim:
Investigation on Viewing Behaviors for Home Shopping Channels Using Large-Scale TV Log Data. Int. J. Knowl. Syst. Sci. 12(4): 26-40 (2021) - [j15]Kyoungok Kim:
Normalized class coherence change-based kNN for classification of imbalanced data. Pattern Recognit. 120: 108126 (2021) - 2020
- [j14]Kyoungok Kim:
Identifying the Structure of Cities by Clustering Using a New Similarity Measure Based on Smart Card Data. IEEE Trans. Intell. Transp. Syst. 21(5): 2002-2011 (2020)
2010 – 2019
- 2019
- [j13]Kyoungok Kim, See Young Zzang:
Trigonometric comparison measure: A feature selection method for text categorization. Data Knowl. Eng. 119: 1-21 (2019) - [j12]Saerom Park, Jaewook Lee, Kyoungok Kim:
Semi-supervised distributed representations of documents for sentiment analysis. Neural Networks 119: 139-150 (2019) - 2018
- [j11]Kyoungok Kim:
An improved semi-supervised dimensionality reduction using feature weighting: Application to sentiment analysis. Expert Syst. Appl. 109: 49-65 (2018) - 2017
- [j10]Kyoungok Kim:
A weighted k-modes clustering using new weighting method based on within-cluster and between-cluster impurity measures. J. Intell. Fuzzy Syst. 32(1): 979-990 (2017) - [j9]Kyoungok Kim, Jung-Sik Hong:
A hybrid decision tree algorithm for mixed numeric and categorical data in regression analysis. Pattern Recognit. Lett. 98: 39-45 (2017) - 2016
- [j8]Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, Kyoungok Kim:
Gradients Weights improve Regression and Classification. J. Mach. Learn. Res. 17: 22:1-22:34 (2016) - [j7]Kyoungok Kim:
A hybrid classification algorithm by subspace partitioning through semi-supervised decision tree. Pattern Recognit. 60: 157-163 (2016) - 2015
- [j6]Kyoungok Kim, Youngdoo Son, Jaewook Lee:
Voronoi Cell-Based Clustering Using a Kernel Support. IEEE Trans. Knowl. Data Eng. 27(4): 1146-1156 (2015) - 2014
- [j5]Kyoungok Kim, Chi-Hyuck Jun, Jaewook Lee:
Improved churn prediction in telecommunication industry by analyzing a large network. Expert Syst. Appl. 41(15): 6575-6584 (2014) - [j4]Kyoungok Kim, Jaewook Lee:
Nonlinear Dynamic Projection for Noise Reduction of Dispersed Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2303-2309 (2014) - [j3]Kyoungok Kim, Daewon Lee:
Inductive manifold learning using structured support vector machine. Pattern Recognit. 47(1): 470-479 (2014) - [j2]Kyoungok Kim, Jaewook Lee:
Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction. Pattern Recognit. 47(2): 758-768 (2014) - 2012
- [j1]Kyoungok Kim, Jaewook Lee:
Sequential manifold learning for efficient churn prediction. Expert Syst. Appl. 39(18): 13328-13337 (2012)
Coauthor Index
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