| Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders JY Kim, SJ Bu, SB Cho Information Sciences 460, 83-102, 2018 | 291 | 2018 |
| Malware detection using deep transferred generative adversarial networks JY Kim, SJ Bu, SB Cho Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 113 | 2017 |
| A convolutional neural-based learning classifier system for detecting database intrusion via insider attack SJ Bu, SB Cho Information Sciences 512, 123-136, 2020 | 90 | 2020 |
| Time series forecasting with multi-headed attention-based deep learning for residential energy consumption SJ Bu, SB Cho Energies 13 (18), 4722, 2020 | 74 | 2020 |
| Deep character-level anomaly detection based on a convolutional autoencoder for zero-day phishing URL detection SJ Bu, SB Cho Electronics 10 (12), 1492, 2021 | 50 | 2021 |
| 3D-convolutional neural network with generative adversarial network and autoencoder for robust anomaly detection in video surveillance W Shin, SJ Bu, SB Cho International journal of neural systems 30 (06), 2050034, 2020 | 50 | 2020 |
| A hybrid deep learning system of CNN and LRCN to detect cyberbullying from SNS comments SJ Bu, SB Cho International Conference on Hybrid Artificial Intelligence Systems, 561-572, 2018 | 44 | 2018 |
| Optimized URL feature selection based on genetic-algorithm-embedded deep learning for phishing website detection SJ Bu, HJ Kim Electronics 11 (7), 1090, 2022 | 30 | 2022 |
| Integrating deep learning with first-order logic programmed constraints for zero-day phishing attack detection SJ Bu, SB Cho ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 30 | 2021 |
| A hybrid system of deep learning and learning classifier system for database intrusion detection SJ Bu, SB Cho International Conference on Hybrid Artificial Intelligence Systems, 615-625, 2017 | 27 | 2017 |
| Learning optimal Q-function using deep Boltzmann machine for reliable trading of cryptocurrency SJ Bu, SB Cho Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 19 | 2018 |
| Automatic financial trading agent for low-risk portfolio management using deep reinforcement learning W Shin, SJ Bu, SB Cho arXiv preprint arXiv:1909.03278, 2019 | 16 | 2019 |
| Hybrid deep learning based on GAN for classifying BSR noises from invehicle sensors JY Kim, SJ Bu, SB Cho Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS …, 2018 | 16 | 2018 |
| Data augmentation using empirical mode decomposition on neural networks to classify impact noise in vehicle GH Nam, SJ Bu, NM Park, JY Seo, HC Jo, WT Jeong ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 15 | 2020 |
| Insider attack detection in database with deep metric neural network with Monte Carlo sampling GM Go, SJ Bu, SB Cho Logic Journal of the IGPL 30 (6), 979-992, 2022 | 12 | 2022 |
| A Monte Carlo search-based triplet sampling method for learning disentangled representation of impulsive noise on steering gear SJ Bu, N Park, GH Nam, JY Seo, SB Cho ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 12 | 2020 |
| Ensemble of deep convolutional learning classifier system based on genetic algorithm for database intrusion detection SJ Bu, HB Kang, SB Cho Electronics 11 (5), 745, 2022 | 11 | 2022 |
| Evolutionary optimization of neuro-symbolic integration for phishing URL detection KW Park, SJ Bu, SB Cho Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS …, 2021 | 11 | 2021 |
| Malware classification with disentangled representation learning of evolutionary triplet network SJ Bu, SB Cho Neurocomputing 552, 126534, 2023 | 8 | 2023 |
| A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons HJ Moon, SJ Bu, SB Cho Neurocomputing 530, 60-68, 2023 | 8 | 2023 |
Jin-Young KimTwelvelabsایمیل تأیید شده در yonsei.ac.kr