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
Improving point-based AIS trajectory classification with partition-wise gated recurrent units.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Meta-MapReduce for scalable data mining.
J. Big Data, 2015
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
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
Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012