| Evolving least squares support vector machines for stock market trend mining L Yu, H Chen, S Wang, KK Lai IEEE transactions on evolutionary computation 13 (1), 87-102, 2008 | 267 | 2008 |
| Multiobjective neural network ensembles based on regularized negative correlation learning H Chen, X Yao IEEE Transactions on Knowledge and Data Engineering 22 (12), 1738-1751, 2010 | 178 | 2010 |
| Regularized negative correlation learning for neural network ensembles H Chen, X Yao IEEE Transactions on Neural Networks 20 (12), 1962-1979, 2009 | 162 | 2009 |
| Probabilistic classification vector machines H Chen, P Tino, X Yao IEEE Transactions on Neural Networks 20 (6), 901-914, 2009 | 157 | 2009 |
| Model-based kernel for efficient time series analysis H Chen, F Tang, P Tino, X Yao Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 139 | 2013 |
| Learning in the model space for cognitive fault diagnosis H Chen, P Tiňo, A Rodan, X Yao IEEE transactions on neural networks and learning systems 25 (1), 124-136, 2013 | 132 | 2013 |
| Negative correlation learning for classification ensembles S Wang, H Chen, X Yao The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010 | 131 | 2010 |
| Predictive ensemble pruning by expectation propagation H Chen, P Tiňo, X Yao IEEE Transactions on Knowledge and Data Engineering 21 (7), 999-1013, 2009 | 121 | 2009 |
| An automatic GPR B-scan image interpreting model X Zhou, H Chen, J Li IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3398-3412, 2018 | 114 | 2018 |
| BDANN: BERT-based domain adaptation neural network for multi-modal fake news detection T Zhang, D Wang, H Chen, Z Zeng, W Guo, C Miao, L Cui 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 103 | 2020 |
| Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data H Chen, AG Cohn The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 95 | 2010 |
| Knowledge engineering with big data X Wu, H Chen, G Wu, J Liu, Q Zheng, X He, A Zhou, ZQ Zhao, B Wei, ... IEEE Intelligent Systems 30 (5), 46-55, 2015 | 91 | 2015 |
| A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population W Fang, J Sun, H Chen, X Wu Information Sciences 330, 19-48, 2016 | 90 | 2016 |
| Improve Chinese word embeddings by exploiting internal structure J Xu, J Liu, L Zhang, Z Li, H Chen Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 88 | 2016 |
| Multiobjective learning in the model space for time series classification Z Gong, H Chen, B Yuan, X Yao IEEE transactions on cybernetics 49 (3), 918-932, 2018 | 85 | 2018 |
| Cognitive fault diagnosis in tennessee eastman process using learning in the model space H Chen, P Tiňo, X Yao Computers & chemical engineering 67, 33-42, 2014 | 83 | 2014 |
| When does diversity help generalization in classification ensembles? Y Bian, H Chen IEEE Transactions on Cybernetics 52 (9), 9059-9075, 2021 | 80 | 2021 |
| Site Assessment of Multiple‐Sensor Approaches for Buried Utility Detection ACD Royal, PR Atkins, MJ Brennan, DN Chapman, H Chen, AG Cohn, ... International Journal of Geophysics 2011 (1), 496123, 2011 | 79 | 2011 |
| Accurate Markov boundary discovery for causal feature selection X Wu, B Jiang, K Yu, H Chen IEEE transactions on cybernetics 50 (12), 4983-4996, 2019 | 78 | 2019 |
| Trade-off between diversity and accuracy in ensemble generation A Chandra, H Chen, X Yao Multi-objective machine learning, 429-464, 2006 | 74 | 2006 |
