Charles X. Ling
Charles X. Ling
Professor of Computer Science, University of Western Ontario
Verified email at csd.uwo.ca - Homepage
Title
Cited by
Cited by
Year
Using AUC and accuracy in evaluating learning algorithms
J Huang, CX Ling
IEEE Transactions on knowledge and Data Engineering 17 (3), 299-310, 2005
11582005
Data mining for direct marketing: Problems and solutions.
CX Ling, C Li
Kdd 98, 73-79, 1998
8231998
AUC: a statistically consistent and more discriminating measure than accuracy
CX Ling, J Huang, H Zhang
Ijcai 3, 519-524, 2003
4352003
DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization
W Gong, Z Cai, CX Ling
Soft Computing 15 (4), 645-665, 2010
3032010
Decision trees with minimal costs
CX Ling, Q Yang, J Wang, S Zhang
Proceedings of the twenty-first international conference on Machine learning, 69, 2004
2972004
AUC: a better measure than accuracy in comparing learning algorithms
CX Ling, J Huang, H Zhang
Conference of the canadian society for computational studies of intelligence …, 2003
2812003
Cost-sensitive learning and the class imbalance problem
CX Ling, VS Sheng
Encyclopedia of machine learning 2011, 231-235, 2008
248*2008
Comparing naive Bayes, decision trees, and SVM with AUC and accuracy
J Huang, J Lu, CX Ling
Third IEEE International Conference on Data Mining, 553-556, 2003
2452003
" Missing is useful": missing values in cost-sensitive decision trees
S Zhang, Z Qin, CX Ling, S Sheng
IEEE transactions on knowledge and data engineering 17 (12), 1689-1693, 2005
2112005
Enhanced differential evolution with adaptive strategies for numerical optimization
W Gong, Z Cai, CX Ling, H Li
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010
2072010
Answering the connectionist challenge: A symbolic model of learning the past tenses of English verbs
CX Ling, M Marinov
Cognition 49 (3), 235-290, 1993
1851993
Test-cost sensitive naive bayes classification
X Chai, L Deng, Q Yang, CX Ling
Fourth IEEE International Conference on Data Mining (ICDM'04), 51-58, 2004
1732004
Discriminative parameter learning for bayesian networks
J Su, H Zhang, CX Ling, S Matwin
Proceedings of the 25th international conference on Machine learning, 1016-1023, 2008
1572008
A real-coded biogeography-based optimization with mutation
W Gong, Z Cai, CX Ling, H Li
Applied Mathematics and Computation 216 (9), 2749-2758, 2010
1562010
Test strategies for cost-sensitive decision trees
CX Ling, VS Sheng, Q Yang
IEEE Transactions on Knowledge and Data Engineering 18 (8), 1055-1067, 2006
1422006
Thresholding for making classifiers cost-sensitive
VS Sheng, CX Ling
AAAI, 476-481, 2006
1272006
pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry
D Li, Y Fu, R Sun, CX Ling, Y Wei, H Zhou, R Zeng, Q Yang, S He, W Gao
Bioinformatics 21 (13), 3049-3050, 2005
1182005
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry
Y Fu, Q Yang, R Sun, D Li, R Zeng, CX Ling, W Gao
Bioinformatics 20 (12), 1948-1954, 2004
1182004
Extracting actionable knowledge from decision trees
Q Yang, J Yin, C Ling, R Pan
IEEE Transactions on Knowledge and data Engineering 19 (1), 43-56, 2006
1122006
A clustering-based differential evolution for global optimization
Z Cai, W Gong, CX Ling, H Zhang
Applied Soft Computing 11 (1), 1363-1379, 2011
1022011
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