Xuan Liu

Publication Activity (10 Years)

Years Active: 2012-2018
Publications (10 Years): 6

Top Topics

Imbalanced Datasets

Class Imbalance

Top Venues

Canadian Conference on AI

Publications

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