| Big data deep learning: challenges and perspectives XW Chen, X Lin IEEE access 2, 514-525, 2014 | 1612 | 2014 |
| Machine learning and its applications to biology AL Tarca, VJ Carey, X Chen, R Romero, S Drăghici PLoS computational biology 3 (6), e116, 2007 | 819 | 2007 |
| Prediction of protein–protein interactions using random decision forest framework XW Chen, M Liu Bioinformatics 21 (24), 4394-4400, 2005 | 494 | 2005 |
| Combating the small sample class imbalance problem using feature selection M Wasikowski, X Chen IEEE Transactions on knowledge and data engineering 22 (10), 1388-1400, 2009 | 485 | 2009 |
| Enhanced recursive feature elimination X Chen, JC Jeong Sixth international conference on machine learning and applications (ICMLA …, 2007 | 377 | 2007 |
| Fast: a roc-based feature selection metric for small samples and imbalanced data classification problems X Chen, M Wasikowski Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 318 | 2008 |
| Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs M Liu, Y Wu, Y Chen, J Sun, Z Zhao, X Chen, ME Matheny, H Xu Journal of the American Medical Informatics Association 19 (e1), e28-e35, 2012 | 313 | 2012 |
| Learning deep networks from noisy labels with dropout regularization I Jindal, M Nokleby, X Chen 2016 IEEE 16th International Conference on Data Mining (ICDM), 967-972, 2016 | 241 | 2016 |
| Improving Bayesian network structure learning with mutual information-based node ordering in the K2 algorithm XW Chen, G Anantha, X Lin IEEE Transactions on Knowledge and Data Engineering 20 (5), 628-640, 2008 | 206 | 2008 |
| On position-specific scoring matrix for protein function prediction J cheol Jeong, X Lin, XW Chen IEEE/ACM transactions on computational biology and bioinformatics 8 (2), 308-315, 2010 | 204 | 2010 |
| Facial expression recognition: a clustering-based approach X Chen, T Huang Pattern Recognition Letters 24 (9-10), 1295-1302, 2003 | 182 | 2003 |
| Sparse representation and learning in visual recognition: Theory and applications H Cheng, Z Liu, L Yang, X Chen Signal Processing 93 (6), 1408-1425, 2013 | 177 | 2013 |
| Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data JS Yu, S Ongarello, R Fiedler, XW Chen, G Toffolo, C Cobelli, ... Bioinformatics 21 (10), 2200-2209, 2005 | 177 | 2005 |
| Sequence-based prediction of protein interaction sites with an integrative method X Chen, JC Jeong Bioinformatics 25 (5), 585-591, 2009 | 173 | 2009 |
| An improved branch and bound algorithm for feature selection X Chen Pattern Recognition Letters 24 (12), 1925-1933, 2003 | 160 | 2003 |
| An effective structure learning method for constructing gene networks X Chen, G Anantha, X Wang Bioinformatics 22 (11), 1367-1374, 2006 | 145 | 2006 |
| Mining adverse drug reactions from online healthcare forums using hidden Markov model H Sampathkumar, X Chen, B Luo BMC medical informatics and decision making 14, 1-18, 2014 | 139 | 2014 |
| High intrinsic oxidative stress may underlie selective vulnerability of the hippocampal CA1 region X Wang, R Pal, X Chen, N Limpeanchob, KN Kumar, EK Michaelis Molecular brain research 140 (1-2), 120-126, 2005 | 139 | 2005 |
| SMO-based pruning methods for sparse least squares support vector machines X Zeng, X Chen IEEE transactions on Neural Networks 16 (6), 1541-1546, 2005 | 124 | 2005 |
| Radial basis function neural networks for nonlinear Fisher discrimination and Neyman–Pearson classification D Casasent, X Chen Neural networks 16 (5-6), 529-535, 2003 | 107 | 2003 |
