| 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 | 252 | 2018 |
| Malware detection using deep transferred generative adversarial networks JY Kim, SJ Bu, SB Cho Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 99 | 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 | 83 | 2020 |
| Time series forecasting with multi-headed attention-based deep learning for residential energy consumption SJ Bu, SB Cho Energies 13 (18), 4722, 2020 | 58 | 2020 |
| 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 | 47 | 2020 |
| A hybrid deep learning system of CNN and LRCN to detect cyberbullying from SNS comments SJ Bu, SB Cho Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS …, 2018 | 43 | 2018 |
| 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 | 40 | 2021 |
| 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 | 28 | 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 | 26 | 2017 |
| Optimized URL feature selection based on genetic-algorithm-embedded deep learning for phishing website detection SJ Bu, HJ Kim Electronics 11 (7), 1090, 2022 | 23 | 2022 |
| 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 | 15 | 2019 |
| 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 | 15 | 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 | 14 | 2020 |
| 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 | 14 | 2018 |
| 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 | 11 | 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 | 10 | 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 | 10 | 2021 |
| 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 | 7 | 2022 |
| Classifying in-vehicle noise from multi-channel sound spectrum by deep beamforming networks SJ Bu, SB Cho 2019 IEEE International Conference on Big Data (Big Data), 3545-3552, 2019 | 7 | 2019 |
| BSR (Buzz, Squeak, Rattle) noise classification based on convolutional neural network with short-time Fourier transform noise-map SJ Bu, SM Moon, SB Cho The Journal of the Acoustical Society of Korea 37 (4), 256-261, 2018 | 7 | 2018 |
Jin-Young KimTwelvelabs在 yonsei.ac.kr 的电子邮件经过验证
