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 | 269 | 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 | 180 | 2010 |
Regularized negative correlation learning for neural network ensembles H Chen, X Yao IEEE Transactions on Neural Networks 20 (12), 1962-1979, 2009 | 163 | 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 | 142 | 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 | 133 | 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 | 122 | 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 | 116 | 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 | 106 | 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 | 92 | 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 | 89 | 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 | 86 | 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 | 85 | 2014 |
When does diversity help generalization in classification ensembles? Y Bian, H Chen IEEE Transactions on Cybernetics 52 (9), 9059-9075, 2021 | 80 | 2021 |
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 | 80 | 2019 |
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 |
Trade-off between diversity and accuracy in ensemble generation A Chandra, H Chen, X Yao Multi-objective machine learning, 429-464, 2006 | 74 | 2006 |