| Dynamic ensemble selection for imbalanced data streams with concept drift B Jiao, Y Guo, D Gong, Q Chen IEEE transactions on neural networks and learning systems, 2022 | 43 | 2022 |
| Evolutionary dual-ensemble class imbalance learning for human activity recognition Y Guo, Y Chu, B Jiao, J Cheng, Z Yu, N Cui, L Ma IEEE Transactions on Emerging Topics in Computational Intelligence 6 (4 …, 2021 | 39 | 2021 |
| Manifold cluster-based evolutionary ensemble imbalance learning Y Guo, J Feng, B Jiao, L Yang, H Lu, Z Yu Computers & Industrial Engineering 159, 107523, 2021 | 12 | 2021 |
| A dual evolutionary bagging for class imbalance learning Y Guo, J Feng, B Jiao, N Cui, S Yang, Z Yu Expert Systems with Applications 206, 117843, 2022 | 10 | 2022 |
| Incremental weighted ensemble for data streams with concept drift B Jiao, Y Guo, C Yang, J Pu, Z Zheng, D Gong IEEE Transactions on Artificial Intelligence, 2022 | 9 | 2022 |
| Reduced-space multistream classification based on multi-objective evolutionary optimization B Jiao, Y Guo, S Yang, J Pu, D Gong IEEE Transactions on Evolutionary Computation, 2022 | 7 | 2022 |
| A transfer weighted extreme learning machine for imbalanced classification Y Guo, B Jiao, Y Tan, P Zhang, F Tang International Journal of Intelligent Systems 37 (10), 7685-7705, 2022 | 5 | 2022 |
| A novel oversampling technique based on the manifold distance for class imbalance learning Y Guo, B Jiao, L Yang, J Cheng, S Yang, F Tang International Journal of Bio-Inspired Computation 18 (3), 131-142, 2021 | 2 | 2021 |
| Online semi-supervised active learning ensemble classification for evolving imbalanced data streams Y Guo, J Pu, B Jiao, Y Peng, D Wang, S Yang Applied Soft Computing, 111452, 2024 | | 2024 |
| Ensemble Recognition Based on the Harmonic Information Gain Ratio for Unsafe Behaviors in Coal Mines J Cheng, B Jiao, Y Guo, S Wang Advances in Swarm Intelligence: 12th International Conference, ICSI 2021 …, 2021 | | 2021 |
