Feature selection with dynamic mutual information H Liu, J Sun, L Liu, H Zhang Pattern Recognition 42 (7), 1330-1339, 2009 | 507 | 2009 |
A fast PC algorithm for high dimensional causal discovery with multi-core PCs TD Le, T Hoang, J Li, L Liu, H Liu, S Hu IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2016 | 199 | 2016 |
Recent progress of anomaly detection X Xu, H Liu, M Yao Complexity 2019 (1), 2686378, 2019 | 155 | 2019 |
Noisy data elimination using mutual k-nearest neighbor for classification mining H Liu, S Zhang Journal of Systems and Software 85 (5), 1067-1074, 2012 | 151 | 2012 |
Ensemble gene selection by grouping for microarray data classification H Liu, L Liu, H Zhang Journal of biomedical informatics 43 (1), 81-87, 2010 | 129 | 2010 |
Ensemble gene selection for cancer classification H Liu, L Liu, H Zhang Pattern Recognition 43 (8), 2763-2772, 2010 | 103 | 2010 |
Efficient outlier detection for high-dimensional data H Liu, X Li, J Li, S Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (12), 2451-2461, 2017 | 94 | 2017 |
A novel progressively undersampling method based on the density peaks sequence for imbalanced data X Xie, H Liu, S Zeng, L Lin, W Li Knowledge-Based Systems 213, 106689, 2021 | 78 | 2021 |
A comparison of outlier detection techniques for high-dimensional data X Xu, H Liu, L Li, M Yao International Journal of Computational Intelligence Systems 11 (1), 652-662, 2018 | 77 | 2018 |
Feature selection using hierarchical feature clustering H Liu, X Wu, S Zhang Proceedings of the 20th ACM international conference on Information and …, 2011 | 68 | 2011 |
Relationship between tillering and leaf area index: quantifying critical leaf area index for tillering in rice X Zhong, S Peng, JE Sheehy, RM Visperas, H Liu The Journal of Agricultural Science 138 (3), 269-279, 2002 | 67 | 2002 |
Learning instance correlation functions for multilabel classification H Liu, X Li, S Zhang IEEE transactions on cybernetics 47 (2), 499-510, 2016 | 65 | 2016 |
Differential evolution for prediction of longitudinal dispersion coefficients in natural streams X Li, H Liu, M Yin Water resources management 27, 5245-5260, 2013 | 59 | 2013 |
Multi-label feature selection via information gain L Li, H Liu, Z Ma, Y Mo, Z Duan, J Zhou, J Zhao Advanced Data Mining and Applications: 10th International Conference, ADMA …, 2014 | 56 | 2014 |
Feature selection using mutual information: An experimental study H Liu, L Liu, H Zhang PRICAI 2008: Trends in Artificial Intelligence: 10th Pacific Rim …, 2008 | 51 | 2008 |
MLSLR: Multilabel learning via sparse logistic regression H Liu, S Zhang, X Wu Information Sciences 281, 310-320, 2014 | 47 | 2014 |
A new supervised feature selection method for pattern classification H Liu, X Wu, S Zhang Computational Intelligence 30 (2), 342-361, 2014 | 45 | 2014 |
A new classification algorithm using mutual nearest neighbors H Liu, S Zhang, J Zhao, X Zhao, Y Mo 2010 Ninth International Conference on Grid and Cloud Computing, 52-57, 2010 | 45 | 2010 |
Anomaly detection with representative neighbors H Liu, X Xu, E Li, S Zhang, X Li IEEE Transactions on Neural Networks and Learning Systems 34 (6), 2831-2841, 2021 | 41 | 2021 |
Boosting feature selection using information metric for classification H Liu, L Liu, H Zhang Neurocomputing 73 (1-3), 295-303, 2009 | 40 | 2009 |