| Predicting residential energy consumption using CNN-LSTM neural networks TY Kim, SB Cho Energy 182, 72-81, 2019 | 1079 | 2019 |
| Web traffic anomaly detection using C-LSTM neural networks TY Kim, SB Cho Expert Systems with Applications 106, 66-76, 2018 | 311 | 2018 |
| Particle swarm optimization-based CNN-LSTM networks for forecasting energy consumption TY Kim, SB Cho 2019 IEEE congress on evolutionary computation (CEC), 1510-1516, 2019 | 64 | 2019 |
| Predicting the household power consumption using CNN-LSTM hybrid networks TY Kim, SB Cho Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 64 | 2018 |
| Optimizing CNN-LSTM neural networks with PSO for anomalous query access control TY Kim, SB Cho Neurocomputing 456, 666-677, 2021 | 43 | 2021 |
| CNN-LSTM neural networks for anomalous database intrusion detection in RBAC-administered model TY Kim, SB Cho Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 11 | 2019 |
| Particle swarm optimization-based CNN-LSTM networks for anomalous query access control in RBAC-administered model TY Kim, SB Cho Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS …, 2019 | 6 | 2019 |
| Detecting Wireless Signal Noise in Mobile Radio Communications Using Spatiotemporal AnoGAN-Based Approaches TY Kim, E Park IEEE Canadian Journal of Electrical and Computer Engineering 46 (4), 310-321, 2023 | 1 | 2023 |
| Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning F den Breejen, S Bae, S Cha, TY Kim, SH Koh, SY Yun NeurIPS 2023 Second Table Representation Learning Workshop, 2023 | | 2023 |
