A two-phase data space partitioning for efficient skyline computation. - Aziz Nasridinov; Jong-Hyeok Choi; Young-Ho Park 002 (Clust. Comput., 2017)

Least Squares Neural Network-Based Wireless E-Nose System Using an SnO2 Sensor Array. - Areej Shahid; Jong-Hyeok Choi; Abu ul Hassan Sarwar Rana; Hyun-Seok Kim (Sensors, 2018)

A Study on Representative Skyline Using Connected Component Clustering. - Jong-Hyeok Choi; Aziz Nasridinov (J. Multim. Inf. Syst., 2019)

Combustible Gas Classification Modeling using Support Vector Machine and Pairing Plot Scheme. - Kyu-Won Jang; Jong-Hyeok Choi; Ji-Hoon Jeon; Hyun-Seok Kim (Sensors, 2019)

AA-DBSCAN: an approximate adaptive DBSCAN for finding clusters with varying densities. - Jeong-Hun Kim; Jong-Hyeok Choi; Kwan-Hee Yoo; Aziz Nasridinov (J. Supercomput., 2019)

Pose evaluation for dance learning application using joint position and angular similarity. - Jae-Jun Lee; Jong-Hyeok Choi; Tserenpurev Chuluunsaikhan; Aziz Nasridinov (UbiComp/ISWC Adjunct, 2020)

Dance self-learning application and its dance pose evaluations. - Jong-Hyeok Choi; Jae-Jun Lee; Aziz Nasridinov (SAC, 2021)

Optimization of Dominance Testing in Skyline Queries Using Decision Trees. - Jong-Hyeok Choi; Fei Hao 001; Yoo-Sung Kim; Aziz Nasridinov (IEEE Access, 2021)

KNN-SC: Novel Spectral Clustering Algorithm Using k-Nearest Neighbors. - Jeong-Hun Kim; Jong-Hyeok Choi; Young-Ho Park 002; Carson Kai-Sang Leung; Aziz Nasridinov (IEEE Access, 2021)

Incremental Density-Based Clustering with Grid Partitioning (Student Abstract). - Jeong-Hun Kim; Tserenpurev Chuluunsaikhan; Jong-Hyeok Choi; Aziz Nasridinov (AAAI, 2023)