Xiaoguang Wang

Affiliations:
  • Dalhousie University, Halifax, NS, Canada


According to our database1, Xiaoguang Wang authored at least 16 papers between 2012 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2018
Interpretable Deep Convolutional Neural Networks via Meta-learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Improving the Interpretability of Deep Neural Networks with Knowledge Distillation.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2015
Meta-MapReduce for scalable data mining.
J. Big Data, 2015

2014
Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images.
J. Artif. Intell. Soft Comput. Res., 2014

Automatic Target Recognition using multiple-aspect sonar images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A multi-view two-level classification method for generalized multi-instance problems.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Applying instance-weighted support vector machines to class imbalanced datasets.
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.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Vessel route anomaly detection with Hadoop MapReduce.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Ensemble of Multiple Kernel SVM Classifiers.
Proceedings of the Advances in Artificial Intelligence, 2014

2013
Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Meta-learning for large scale machine learning with MapReduce.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets.
Proceedings of the Advances in Artificial Intelligence, 2013

An Ensemble Method Based on AdaBoost and Meta-Learning.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012


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