Xiaoguang Wang

According to our database, Xiaoguang Wang authored at least 16 papers between 2012 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Interpretable Deep Convolutional Neural Networks via Meta-learning.

Xuan Liu, Xiaoguang Wang, Stan Matwin

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Improving the Interpretability of Deep Neural Networks with Knowledge Distillation.

Xuan Liu, Xiaoguang Wang, Stan Matwin

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.

Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2015

Meta-MapReduce for scalable data mining.

Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz

J. Big Data, 2015

2014

Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images.

Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin

J. Artif. Intell. Soft Comput. Res., 2014

Automatic Target Recognition using multiple-aspect sonar images.

Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin, Bao Nguyen

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A multi-view two-level classification method for generalized multi-instance problems.

Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz, Hongyu Guo

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Applying instance-weighted support vector machines to class imbalanced datasets.

Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets.

Xiaoguang Wang, Xuan Liu, Stan Matwin

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Vessel route anomaly detection with Hadoop MapReduce.

Xiaoguang Wang, Xuan Liu, Bo Liu, Erico N. de Souza, Stan Matwin

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Ensemble of Multiple Kernel SVM Classifiers.

Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2014

2013

Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning.

Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Meta-learning for large scale machine learning with MapReduce.

Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets.

Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, Xuan Liu

Proceedings of the Advances in Artificial Intelligence, 2013

An Ensemble Method Based on AdaBoost and Meta-Learning.

Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection.

Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, Bao Nguyen

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012