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Journal Articles
- 2021
[j7]Jong-Hyeok Choi
, Fei Hao, Yoo-Sung Kim, Aziz Nasridinov:
Optimization of Dominance Testing in Skyline Queries Using Decision Trees. IEEE Access 9: 130170-130184 (2021)- [j6]Jeong-Hun Kim, Jong-Hyeok Choi, Young-Ho Park, Carson Kai-Sang Leung, Aziz Nasridinov:
KNN-SC: Novel Spectral Clustering Algorithm Using k-Nearest Neighbors. IEEE Access 9: 152616-152627 (2021) - 2019
- [j5]Jong-Hyeok Choi, Aziz Nasridinov:
A Study on Representative Skyline Using Connected Component Clustering. J. Multim. Inf. Syst. 6(1): 37-42 (2019) - [j4]Kyu-Won Jang, Jong-Hyeok Choi, Ji-Hoon Jeon, Hyun-Seok Kim:
Combustible Gas Classification Modeling using Support Vector Machine and Pairing Plot Scheme. Sensors 19(22): 5018 (2019) - [j3]Jeong-Hun Kim, Jong-Hyeok Choi, Kwan-Hee Yoo, Aziz Nasridinov:
AA-DBSCAN: an approximate adaptive DBSCAN for finding clusters with varying densities. J. Supercomput. 75(1): 142-169 (2019) - 2018
- [j2]Areej Shahid, Jong-Hyeok Choi, Abu ul Hassan Sarwar Rana, Hyun-Seok Kim:
Least Squares Neural Network-Based Wireless E-Nose System Using an SnO2 Sensor Array. Sensors 18(5): 1446 (2018) - 2017
- [j1]Aziz Nasridinov, Jong-Hyeok Choi, Young-Ho Park:
A two-phase data space partitioning for efficient skyline computation. Clust. Comput. 20(4): 3617-3628 (2017)
Conference and Workshop Papers
- 2023
- [c3]Jeong-Hun Kim, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov:
Incremental Density-Based Clustering with Grid Partitioning (Student Abstract). AAAI 2023: 16242-16243 - 2021
- [c2]Jong-Hyeok Choi, Jae-Jun Lee, Aziz Nasridinov:
Dance self-learning application and its dance pose evaluations. SAC 2021: 1037-1045 - 2020
- [c1]Jae-Jun Lee, Jong-Hyeok Choi, Tserenpurev Chuluunsaikhan, Aziz Nasridinov:
Pose evaluation for dance learning application using joint position and angular similarity. UbiComp/ISWC Adjunct 2020: 67-70
Coauthor Index
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