Xiaoguang Wang

18 papers B 3Journal 4Unranked 11

Year	Rank	Type	Title / Venue / Authors
2018	—	`conf`	Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. ICDM Workshops Xuan Liu, Xiaoguang Wang, Stan Matwin
2018	J	`jnl`	Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. CoRR Xuan Liu, Xiaoguang Wang, Stan Matwin
2018	B	`conf`	Interpretable Deep Convolutional Neural Networks via Meta-learning. IJCNN Xuan Liu, Xiaoguang Wang, Stan Matwin
2018	J	`jnl`	Interpretable Deep Convolutional Neural Networks via Meta-learning. CoRR Xuan Liu, Xiaoguang Wang, Stan Matwin
2017	B	`conf`	Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. ESANN Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin
2015	J	`jnl`	Meta-MapReduce for scalable data mining. J. Big Data Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz
2014	—	`conf`	A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets. IEEE BigData Xiaoguang Wang, Xuan Liu, Stan Matwin
2014	—	`conf`	A multi-view two-level classification method for generalized multi-instance problems. IEEE BigData Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz, Hongyu Guo
2014	—	`conf`	Applying instance-weighted support vector machines to class imbalanced datasets. IEEE BigData Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz
2014	J	`jnl`	Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images. J. Artif. Intell. Soft Comput. Res. Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2014	B	`conf`	Automatic Target Recognition using multiple-aspect sonar images. IEEE Congress on Evolutionary Computation Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin, Bao Nguyen
2014	—	`conf`	Ensemble of Multiple Kernel SVM Classifiers. Canadian AI Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2014	—	`conf`	Vessel route anomaly detection with Hadoop MapReduce. IEEE BigData Xiaoguang Wang, Xuan Liu, Bo Liu, Erico N. de Souza, Stan Matwin
2013	—	`conf`	An Ensemble Method Based on AdaBoost and Meta-Learning. Canadian AI Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, Stan Matwin
2013	—	`conf`	Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. Canadian AI Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, Xuan Liu
2013	—	`conf`	Meta-learning for large scale machine learning with MapReduce. IEEE BigData Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz
2013	—	`conf`	Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. ICDM Workshops Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2012	—	`conf`	Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. ICMLA (2) Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, Bao Nguyen