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Donghee Kim
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Fedccea: A practical approach of client contribution evaluation for federated learning
SK Shyn, D Kim, K Kim
arXiv preprint arXiv:2106.02310, 2021
162021
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
72021
Empirical measurement of client contribution for federated learning with data size diversification
SK Shyn, D Kim, K Kim
IEEE Access 10, 118563-118574, 2022
32022
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
22017
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
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Articles 1–10