Fedccea: A practical approach of client contribution evaluation for federated learning SK Shyn, D Kim, K Kim arXiv preprint arXiv:2106.02310, 2021 | 16 | 2021 |
A daily tourism demand prediction framework based on multi-head attention CNN: The case of the foreign entrant in South Korea DK Kim, SK Shyn, D Kim, S Jang, K Kim 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-10, 2021 | 7 | 2021 |
Empirical measurement of client contribution for federated learning with data size diversification SK Shyn, D Kim, K Kim IEEE Access 10, 118563-118574, 2022 | 3 | 2022 |
Method of detecting malware through analysis of opcodes frequency with machine learning technique SU Woo, DH Kim, TM Chung Advances in Computer Science and Ubiquitous Computing: CSA-CUTE2016 8, 1019-1024, 2017 | 2 | 2017 |
Enriching Chest Radiography Representations: Self-Supervised Learning with a Recalibrating and Importance Scaling H Kong, D Kim, K Kim IEEE Access, 2023 | | 2023 |
Canine Behavior Interpretation Framework Using Deep Graph Model J Lim, D Kim, K Kim International Conference on Artificial Intelligence and Soft Computing, 99-110, 2021 | | 2021 |
A Study on Artificial Intelligence Model for Forecasting Daily Demand of Tourists Using Domestic Foreign Visitors Immigration Data DK Kim, D Kim, S Jang, SK Shyn, K Kim Proceedings of the Korean Institute of Information and Commucation Sciences …, 2021 | | 2021 |
Suggestion for Malware Detection Agent Considering Network Environment JH Hong, DH Kim, NU Kim, TM Chung International Journal of Computer and Systems Engineering 9 (11), 2405-2408, 2017 | | 2017 |
Applying PE-Miner Framework to Software Defined Network Quarantine DH Kim, SH Lee, WS Doo, SI Ahn, TM Chung Advances in Computer Science and Ubiquitous Computing: CSA-CUTE2016 8, 579-584, 2017 | | 2017 |
Knowledge Is Not Wisdom: Weight Balancing Mechanism for Local and Global Training in Federated Learning D Kim, D Kim, SK Shyn, S Cha, K Kim | | |