| Improving the interpretability of deep neural networks with knowledge distillation X Liu, X Wang, S Matwin 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 905-912, 2018 | 127 | 2018 |
| Brillouin spectrum in LEAF and simultaneous temperature and strain measurement X Liu, X Bao Journal of Lightwave Technology 30 (8), 1053-1059, 2011 | 93 | 2011 |
| Interpretable deep convolutional neural networks via meta-learning X Liu, X Wang, S Matwin 2018 International Joint Conference on Neural Networks (IJCNN), 1-9, 2018 | 54 | 2018 |
| Meta-mapreduce for scalable data mining X Liu, X Wang, S Matwin, N Japkowicz Journal of Big Data 2, 1-21, 2015 | 31 | 2015 |
| Cost-sensitive boosting algorithms for imbalanced multi-instance datasets X Wang, S Matwin, N Japkowicz, X Liu Advances in Artificial Intelligence: 26th Canadian Conference on Artificial …, 2013 | 31 | 2013 |
| Vessel route anomaly detection with Hadoop MapReduce X Wang, X Liu, B Liu, EN de Souza, S Matwin 2014 IEEE international conference on big data (big data), 25-30, 2014 | 30 | 2014 |
| Resampling and cost-sensitive methods for imbalanced multi-instance learning X Wang, X Liu, N Japkowicz, S Matwin 2013 IEEE 13th international conference on data mining workshops, 808-816, 2013 | 24 | 2013 |
| A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets X Wang, X Liu, S Matwin 2014 IEEE International Conference on Big Data (Big Data), 45-51, 2014 | 21 | 2014 |
| Improving point-based AIS trajectory classification with partition-wise gated recurrent units X Jiang, X Liu, EN de Souza, B Hu, DL Silver, S Matwin 2017 International Joint Conference on Neural Networks (IJCNN), 4044-4051, 2017 | 19 | 2017 |
| Applying instance-weighted support vector machines to class imbalanced datasets X Wang, X Liu, S Matwin, N Japkowicz 2014 IEEE International Conference on Big Data (Big Data), 112-118, 2014 | 17 | 2014 |
| Using svm with adaptively asymmetric misclassification costs for mine-like objects detection X Wang, H Shao, N Japkowicz, S Matwin, X Liu, A Bourque, B Nguyen 2012 11th International Conference on Machine Learning and Applications 2, 78-82, 2012 | 17 | 2012 |
| Characterization of Brillouin scattering spectrum in LEAF fiber X Liu University of Ottawa (Canada), 2011 | 13 | 2011 |
| Meta-learning for large scale machine learning with MapReduce X Liu, X Wang, S Matwin, N Japkowicz 2013 IEEE International Conference on Big Data, 105-110, 2013 | 12 | 2013 |
| Automatic Target Recognition using multiple-aspect sonar images X Wang, X Liu, N Japkowicz, S Matwin, B Nguyen 2014 IEEE Congress on Evolutionary Computation (CEC), 2330-2337, 2014 | 11 | 2014 |
| Automated approach to classification of mine-like objects using multiple-aspect sonar images X Wang, X Liu, N Japkowicz, S Matwin Journal of Artificial Intelligence and Soft Computing Research 4 (2), 133-148, 2014 | 10 | 2014 |
| Ensemble of multiple kernel SVM classifiers X Wang, X Liu, N Japkowicz, S Matwin Advances in Artificial Intelligence: 27th Canadian Conference on Artificial …, 2014 | 9 | 2014 |
| An ensemble method based on adaboost and meta-learning X Liu, X Wang, N Japkowicz, S Matwin Advances in Artificial Intelligence: 26th Canadian Conference on Artificial …, 2013 | 9 | 2013 |
| Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. X Jiang, EN de Souza, X Liu, BH Soleimani, X Wang, DL Silver, S Matwin ESANN, 2017 | 8 | 2017 |
| A multi-view two-level classification method for generalized multi-instance problems X Wang, X Liu, S Matwin, N Japkowicz, H Guo 2014 IEEE International Conference on Big Data (Big Data), 104-111, 2014 | 6 | 2014 |
| An Ensemble Method for Large Scale Machine Learning with Hadoop MapReduce X Liu Université d'Ottawa/University of Ottawa, 2014 | 4 | 2014 |
