A density-based noisy graph partitioning algorithm. - Jaehong Yu; Seoung Bum Kim (Neurocomputing, 2016)

Density-based geodesic distance for identifying the noisy and nonlinear clusters. - Jaehong Yu; Seoung Bum Kim (Inf. Sci., 2016)

Consensus rate-based label propagation for semi-supervised classification. - Jaehong Yu; Seoung Bum Kim (Inf. Sci., 2018)

Clustering-based proxy measure for optimizing one-class classifiers. - Jaehong Yu; Seokho Kang 001 (Pattern Recognit. Lett., 2019)

An Ensemble Feature Ranking Algorithm for Clustering Analysis. - Jaehong Yu; Hua Zhong; Seoung Bum Kim (J. Classif., 2020)

Dynamic Survival Analysis with Individualized Truncated Parametric Distributions. - Preston Putzel; Padhraic Smyth; Jaehong Yu; Hua Zhong (SPACA, 2021)

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

Clustering ensemble-based novelty score for outlier detection. - Jaehong Yu; Jihoon Kang (Eng. Appl. Artif. Intell., 2023)

Proximity-based density description with regularized reconstruction algorithm for anomaly detection. - Jaehong Yu; Hyungrok Do (Inf. Sci., 2024)

SF-Rx: A Multioutput Deep Neural Network-Based Framework Predicting Drug-Drug Interaction under Realistic Conditions for Safe Prescription. - Daeun Kim; Jaehong Yu; Sang-Hun Bae; Jihyun Lee (J. Chem. Inf. Model., 2025)