Bipolar-valued fuzzy sets and their operations KM Lee Proc. Int. Conf. on Intelligent Technologies, Bangkok, Thailand, 2000, 307-312, 2000 | 546 | 2000 |
Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer WJ Kim, EJ Kim, SK Kim, YJ Kim, YS Ha, P Jeong, MJ Kim, SJ Yun, ... Molecular cancer 9, 1-9, 2010 | 356 | 2010 |
Similarity measure between fuzzy sets and between elements H Lee-Kwang, YS Song, KM Lee Fuzzy Sets and Systems 62 (3), 291-293, 1994 | 269 | 1994 |
Comparison of interval-valued fuzzy sets, intuitionistic fuzzy sets, and bipolar-valued fuzzy sets KM Lee, KMI LEE, KJ CIOS Computing and information technologies: exploring emerging technologies, 433-439, 2001 | 241 | 2001 |
A genetic algorithm for general machine scheduling problems KM Lee, T Yamakawa, KM Lee 1998 Second International Conference. Knowledge-Based Intelligent Electronic …, 1998 | 140 | 1998 |
Ranking fuzzy values with satisfaction function KM Lee, CH Cho, H Lee-Kwang Fuzzy Sets and Systems 64 (3), 295-309, 1994 | 132 | 1994 |
Identification of λ-fuzzy measure by genetic algorithms KM Lee, H LeeKwang Fuzzy Sets and Systems 75 (3), 301-309, 1995 | 116 | 1995 |
Enhanced expression of peroxiredoxin I and VI correlates with development, recurrence and progression of human bladder cancer C Quan, EJ Cha, HL Lee, KH Han, KM Lee, WJ Kim The Journal of urology 175 (4), 1512-1516, 2006 | 111 | 2006 |
Performance comparison of OpenMP, MPI, and MapReduce in practical problems SJ Kang, SY Lee, KM Lee Advances in Multimedia 2015, 7-7, 2015 | 95 | 2015 |
Fuzzy hypergraph and fuzzy partition H Lee-Kwang, KM Lee IEEE transactions on systems, man, and cybernetics 25 (1), 196-201, 1995 | 93 | 1995 |
Autonomic machine learning platform KM Lee, J Yoo, SW Kim, JH Lee, J Hong International Journal of Information Management 49, 491-501, 2019 | 73 | 2019 |
Deep learning-based caution area traffic prediction with automatic identification system sensor data KI Kim, KM Lee Sensors 18 (9), 3172, 2018 | 63 | 2018 |
Fuzzy inference neural network for fuzzy model tuning KM Lee, DH Kwak, H Lee-Kwang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 26 …, 1996 | 60 | 1996 |
Mining generalized fuzzy quantitative association rules with fuzzy generalization hierarchies KM Lee Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International …, 2001 | 58 | 2001 |
Traffic control of intersection group based on fuzzy logic JH Lee, KM Lee, KA Seong, CB Kim, H Lee-Kwang Proceedings of the 6th International Fuzzy Systems Association World …, 1995 | 54 | 1995 |
A music recommendation system with a dynamic k-means clustering algorithm D Kim, K Kim, KH Park, JH Lee, KM Lee Sixth international conference on machine learning and applications (ICMLA …, 2007 | 53 | 2007 |
Dexamethasone regulates AP-1 to repress TNF-α induced MCP-1 production in human glomerular endothelial cells SK Park, WS Yang, NJ Han, SK Lee, H Ahn, IK Lee, JY Park, KU Lee, ... Nephrology Dialysis Transplantation 19 (2), 312-319, 2004 | 53 | 2004 |
Implementation of ontology based context-awareness framework for ubiquitous environment KC Lee, JH Kim, JH Lee, KM Lee 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE …, 2007 | 45 | 2007 |
Tuning of fuzzy models by fuzzy neural networks KM Lee, DH Kwakb, H Leekwang Fuzzy Sets and Systems 76 (1), 47-61, 1995 | 43 | 1995 |
Blockchain-based reputation management for custom manufacturing service in the peer-to-peer networking environment YJ Lee, KM Lee, SH Lee Peer-to-Peer Networking and Applications 13, 671-683, 2020 | 37 | 2020 |