Chaoqun Li
Cited by
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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
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
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
Two feature weighting approaches for naive Bayes text classifiers
L Zhang, L Jiang, C Li, G Kong
Knowledge-Based Systems 100, 137-144, 2016
Adapting naive Bayes tree for text classification
S Wang, L Jiang, C Li
Knowledge and Information Systems, 1-13, 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
Structure extended multinomial naive Bayes
L Jiang, S Wang, C Li, L Zhang
Information Sciences 329, 346-356, 2016
Cost-sensitive Bayesian network classifiers
L Jiang, C Li, S Wang
Pattern Recognition Letters 45, 211-216, 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
Learning decision tree for ranking
L Jiang, C Li, Z Cai
Knowledge and Information Systems 20 (1), 123-135, 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
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
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
Class-specific deep feature weighting for Naïve Bayes text classifiers
S Ruan, H Li, C Li, K Song
IEEE Access 8, 20151-20159, 2020
Randomly selected decision tree for test-cost sensitive learning
C Qiu, L Jiang, C Li
Applied Soft Computing 53, 27-33, 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
One dependence value difference metric
C Li, H Li
Knowledge-Based Systems 24 (5), 589-594, 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
Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination.
L Jiang, C Li
J. Comput. 6 (7), 1325-1331, 2011
A Survey of Distance Metrics for Nominal Attributes.
C Li, H Li
J. Softw. 5 (11), 1262-1269, 2010
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