| Improving fishing pattern detection from satellite AIS using data mining and machine learning EN De Souza, K Boerder, S Matwin, B Worm PloS one 11 (7), e0158248, 2016 | 290 | 2016 |
| Knowledge-based clustering of ship trajectories using density-based approach B Liu, EN de Souza, S Matwin, M Sydow 2014 IEEE international conference on big data (Big Data), 603-608, 2014 | 96 | 2014 |
| Trajectorynet: An embedded gps trajectory representation for point-based classification using recurrent neural networks X Jiang, EN de Souza, A Pesaranghader, B Hu, DL Silver, S Matwin arXiv preprint arXiv:1705.02636, 2017 | 81 | 2017 |
| Anomaly detection in maritime data based on geometrical analysis of trajectories BH Soleimani, EN De Souza, C Hilliard, S Matwin 2015 18th International Conference on Information Fusion (Fusion), 1100-1105, 2015 | 40 | 2015 |
| Ship movement anomaly detection using specialized distance measures B Liu, EN de Souza, C Hilliard, S Matwin 2015 18th International Conference on Information Fusion (Fusion), 1113-1120, 2015 | 36 | 2015 |
| Fishing activity detection from AIS data using autoencoders X Jiang, DL Silver, B Hu, EN de Souza, S Matwin Advances in Artificial Intelligence: 29th Canadian Conference on Artificial …, 2016 | 30 | 2016 |
| 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 |
| 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 |
| Identifying fishing activities from AIS data with conditional random fields B Hu, X Jiang, EN de Souza, R Pelot, S Matwin 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 18 | 2016 |
| Extending adaboost to iteratively vary its base classifiers ÉN de Souza, S Matwin Advances in Artificial Intelligence: 24th Canadian Conference on Artificial …, 2011 | 12 | 2011 |
| Network traffic classification using AdaBoost dynamic EN de Souza, S Matwin, S Fernandes 2013 IEEE International Conference on Communications Workshops (ICC), 1319-1324, 2013 | 10 | 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 |
| Improvements to adaboost dynamic EN de Souza, S Matwin Advances in Artificial Intelligence: 25th Canadian Conference on Artificial …, 2012 | 7 | 2012 |
| A density-penalized distance measure for clustering BH Soleimani, S Matwin, EN De Souza Advances in Artificial Intelligence: 28th Canadian Conference on Artificial …, 2015 | 6 | 2015 |
| Improvements to AdaBoost dynamic EN Souza, S Matwin Advances in Artificial Intelligence, 2012 | 5 | 2012 |
| DBMS for web: The future of database management EN De Souza, E Mota 2006 IEEE International Conference on Information Reuse & Integration, 1-5, 2006 | 5 | 2006 |
| Improvements to boosting with data streams EN de Souza, S Matwin Advances in Artificial Intelligence: 26th Canadian Conference on Artificial …, 2013 | 3 | 2013 |
| Automated risk management system G Henderson, R Sawilla, S Matwin, E Bacic, L Tremblay, ... Decision making support for continuous improvement of IT mission assurance …, 2012 | 3 | 2012 |
| Traffic classification with on-line ensemble method EN de Souza, S Matwin, S Fernandes 2014 Global Information Infrastructure and Networking Symposium (GIIS), 1-4, 2014 | 2 | 2014 |
| Extending adaboost: varying the base learners and modifying the weight calculation E Neves de Souza Université d'Ottawa/University of Ottawa, 2014 | 2 | 2014 |
