| Using AUC and accuracy in evaluating learning algorithms J Huang, CX Ling IEEE Transactions on knowledge and Data Engineering 17 (3), 299-310, 2005 | 2554 | 2005 |
| Data mining for direct marketing: Problems and solutions. CX Ling, C Li Kdd 98, 73-79, 1998 | 1214 | 1998 |
| AUC: a statistically consistent and more discriminating measure than accuracy CX Ling, J Huang, H Zhang Ijcai 3, 519-524, 2003 | 757 | 2003 |
| Cost-sensitive learning and the class imbalance problem CX Ling, VS Sheng Encyclopedia of machine learning 2011, 231-235, 2008 | 699* | 2008 |
| Pelee: A real-time object detection system on mobile devices RJ Wang, X Li, CX Ling Advances in neural information processing systems 31, 2018 | 673 | 2018 |
| AUC: a better measure than accuracy in comparing learning algorithms CX Ling, J Huang, H Zhang Advances in artificial intelligence: 16th conference of the Canadian society …, 2003 | 627 | 2003 |
| DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization W Gong, Z Cai, CX Ling Soft Computing 15, 645-665, 2010 | 414 | 2010 |
| 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 | 402 | 2004 |
| 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 | 342 | 2003 |
| 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 | 264 | 2010 |
| " 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 | 258 | 2005 |
| 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 | 248 | 2004 |
| Thresholding for making classifiers cost-sensitive VS Sheng, CX Ling Aaai 6, 476-481, 2006 | 246 | 2006 |
| 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 | 211 | 1993 |
| 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 | 194 | 2006 |
| 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 | 187 | 2010 |
| 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 | 180 | 2008 |
| 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 | 175 | 2005 |
| A clustering-based differential evolution for global optimization Z Cai, W Gong, CX Ling, H Zhang Applied Soft Computing 11 (1), 1363-1379, 2011 | 168 | 2011 |
| Reviewer recommender of pull-requests in GitHub Y Yu, H Wang, G Yin, CX Ling 2014 IEEE International Conference on Software Maintenance and Evolution …, 2014 | 150 | 2014 |
