Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. - Xiaoguang Wang 001; Hang Shao 003; Nathalie Japkowicz; Stan Matwin; Xuan Liu 007; Alex Bourque; Bao Nguyen (ICMLA (2), 2012)

An Ensemble Method Based on AdaBoost and Meta-Learning. - Xuan Liu 007; Xiaoguang Wang 001; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2013)

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. - Xiaoguang Wang 001; Stan Matwin; Nathalie Japkowicz; Xuan Liu 007 (Canadian AI, 2013)

Meta-learning for large scale machine learning with MapReduce. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin; Nathalie Japkowicz (IEEE BigData, 2013)

Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin (ICDM Workshops, 2013)

Ensemble of Multiple Kernel SVM Classifiers. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2014)

Vessel route anomaly detection with Hadoop MapReduce. - Xiaoguang Wang 001; Xuan Liu 007; Bo Liu; Erico N. de Souza; Stan Matwin (IEEE BigData, 2014)

A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets. - Xiaoguang Wang 001; Xuan Liu 007; Stan Matwin (IEEE BigData, 2014)

Applying instance-weighted support vector machines to class imbalanced datasets. - Xiaoguang Wang 001; Xuan Liu 007; Stan Matwin; Nathalie Japkowicz (IEEE BigData, 2014)

A multi-view two-level classification method for generalized multi-instance problems. - Xiaoguang Wang 001; Xuan Liu 007; Stan Matwin; Nathalie Japkowicz; Hongyu Guo (IEEE BigData, 2014)

Automatic Target Recognition using multiple-aspect sonar images. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin; Bao Nguyen (IEEE Congress on Evolutionary Computation, 2014)

Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin (J. Artif. Intell. Soft Comput. Res., 2014)

Meta-MapReduce for scalable data mining. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin; Nathalie Japkowicz (J. Big Data, 2015)

Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. - Xiang Jiang 001; Erico N. de Souza; Xuan Liu 007; Behrouz Haji Soleimani; Xiaoguang Wang 001; Daniel L. Silver; Stan Matwin (ESANN, 2017)

Improving point-based AIS trajectory classification with partition-wise gated recurrent units. - Xiang Jiang 001; Xuan Liu 007; Erico N. de Souza; Baifan Hu; Daniel L. Silver; Stan Matwin (IJCNN, 2017)

Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin (ICDM Workshops, 2018)

Interpretable Deep Convolutional Neural Networks via Meta-learning. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin (IJCNN, 2018)