Classification of imbalanced data: A review Y Sun, AKC Wong, MS Kamel International journal of pattern recognition and artificial intelligence 23 …, 2009 | 1888 | 2009 |
Cost-sensitive boosting for classification of imbalanced data Y Sun, MS Kamel, AKC Wong, Y Wang Pattern recognition 40 (12), 3358-3378, 2007 | 1793 | 2007 |
Boosting for learning multiple classes with imbalanced class distribution Y Sun, MS Kamel, Y Wang Sixth international conference on data mining (ICDM'06), 592-602, 2006 | 402 | 2006 |
Parameter inference of cost-sensitive boosting algorithms Y Sun, AKC Wong, Y Wang International Workshop on Machine Learning and Data Mining in Pattern …, 2005 | 76 | 2005 |
Developing machine learning-based models for railway inspection C Yang, Y Sun, C Ladubec, Y Liu Applied Sciences 11 (1), 13, 2020 | 57 | 2020 |
Boosting an associative classifier Y Sun, Y Wang, AKC Wong IEEE Transactions on Knowledge and Data Engineering 18 (7), 988-992, 2006 | 53 | 2006 |
An overview of associative classifiers. Y Sun, AKC Wong, Y Wang DMIN, 138-143, 2006 | 29 | 2006 |
Empirical study on weighted voting multiple classifiers Y Sun, MS Kamel, AKC Wong Pattern Recognition and Data Mining: Third International Conference on …, 2005 | 16 | 2005 |
Railway joint detection using deep convolutional neural networks Y Sun, Y Liu, C Yang 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 11 | 2019 |
Generative and discriminative learning by CL-Net Y Sun, AKC Wong, Y Wang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 5 | 2007 |
Social Media and Influence Detection: A Literature Review on Twitter Y Sun | 1 | 2022 |
Classification of SchoolNet Data Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong The third annual e-learning conference on Intelligent Interactive Learning …, 2006 | | 2006 |
The Introduction of BPL and RBF Neural Networks J Jiang, C Zhang, Y Sun | | |