| Deep feature weighting for naive Bayes and its application to text classification L Jiang, C Li, S Wang, L Zhang Engineering Applications of Artificial Intelligence 52, 26-39, 2016 | 285 | 2016 |
| QTL mapping of root traits in a doubled haploid population from a cross between upland and lowland japonica rice in three environments Z Li, P Mu, C Li, H Zhang, Z Li, Y Gao, X Wang Theoretical and Applied Genetics 110 (7), 1244-1252, 2005 | 195 | 2005 |
| A correlation-based feature weighting filter for naive bayes L Jiang, L Zhang, C Li, J Wu IEEE transactions on knowledge and data engineering 31 (2), 201-213, 2018 | 138 | 2018 |
| Two feature weighting approaches for naive Bayes text classifiers L Zhang, L Jiang, C Li, G Kong Knowledge-Based Systems 100, 137-144, 2016 | 102 | 2016 |
| Adapting naive Bayes tree for text classification S Wang, L Jiang, C Li Knowledge and Information Systems, 1-13, 2014 | 100 | 2014 |
| Error-specific medial cortical and subcortical activity during the stop signal task: a functional magnetic resonance imaging study CSR Li, P Yan, HHA Chao, R Sinha, P Paliwal, RT Constable, S Zhang, ... Neuroscience 155 (4), 1142-1151, 2008 | 91 | 2008 |
| Structure extended multinomial naive Bayes L Jiang, S Wang, C Li, L Zhang Information Sciences 329, 346-356, 2016 | 77 | 2016 |
| Cost-sensitive Bayesian network classifiers L Jiang, C Li, S Wang Pattern Recognition Letters 45, 211-216, 2014 | 59 | 2014 |
| Noise filtering to improve data and model quality for crowdsourcing C Li, VS Sheng, L Jiang, H Li Knowledge-Based Systems 107, 96-103, 2016 | 43 | 2016 |
| Learning decision tree for ranking L Jiang, C Li, Z Cai Knowledge and Information Systems 20 (1), 123-135, 2009 | 41 | 2009 |
| A new feature selection approach to naive bayes text classifiers L Zhang, L Jiang, C Li International Journal of Pattern Recognition and Artificial Intelligence 30 …, 2016 | 34 | 2016 |
| A novel minority cloning technique for cost-sensitive learning L Jiang, C Qiu, C Li International Journal of Pattern Recognition and Artificial Intelligence 29 …, 2015 | 34 | 2015 |
| Wrapper framework for test-cost-sensitive feature selection L Jiang, G Kong, C Li IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (3), 1747-1756, 2019 | 31 | 2019 |
| Class-specific deep feature weighting for Naïve Bayes text classifiers S Ruan, H Li, C Li, K Song IEEE Access 8, 20151-20159, 2020 | 29 | 2020 |
| Randomly selected decision tree for test-cost sensitive learning C Qiu, L Jiang, C Li Applied Soft Computing 53, 27-33, 2017 | 29 | 2017 |
| Not always simple classification: Learning superparent for class probability estimation C Qiu, L Jiang, C Li Expert Systems with Applications 42 (13), 5433-5440, 2015 | 29 | 2015 |
| One dependence value difference metric C Li, H Li Knowledge-Based Systems 24 (5), 589-594, 2011 | 26 | 2011 |
| Reaction of boron to transition metal impurities and its effect on conductivity of aluminum 王桂芹， 刘顺华， 李长茂， 高钦 中国有色金属学会会刊: 英文版 12 (6), 1112-1116, 2002 | 26 | 2002 |
| Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination. L Jiang, C Li J. Comput. 6 (7), 1325-1331, 2011 | 25 | 2011 |
| A Survey of Distance Metrics for Nominal Attributes. C Li, H Li J. Softw. 5 (11), 1262-1269, 2010 | 23 | 2010 |
Liangxiao JiangChina University of GeosciencesVerified email at cug.edu.cn
