| 2017 | ESANN | 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 |
| 2017 | IJCNN | Improving point-based AIS trajectory classification with partition-wise gated recurrent units. | Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin |
| 2016 | AI | Fishing Activity Detection from AIS Data Using Autoencoders. | Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin |
| 2016 | FedCSIS | Identifying Fishing Activities from AIS Data with Conditional Random Fields. | Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin |
| 2015 | AI | A Density-Penalized Distance Measure for Clustering. | Behrouz Haji Soleimani, Stan Matwin, Erico N. de Souza |
| 2015 | FUSION | Ship movement anomaly detection using specialized distance measures. | Bo Liu, Erico N. de Souza, Casey Hilliard, Stan Matwin |
| 2015 | FUSION | Anomaly detection in maritime data based on geometrical analysis of trajectories. | Behrouz Haji Soleimani, Erico N. de Souza, Casey Hilliard, Stan Matwin |
| 2013 | AI | Improvements to Boosting with Data Streams. | Erico N. de Souza, Stan Matwin |
| 2012 | AI | Improvements to AdaBoost Dynamic. | Erico N. de Souza, Stan Matwin |
| 2011 | AI | Extending AdaBoost to Iteratively Vary Its Base Classifiers. | Erico N. de Souza, Stan Matwin |
| 2006 | IRI | DBMS for web: The future of database management. | Erico N. de Souza, Edjander Mota |
| 2003 | IRI | A distributed platform to aeronautical application. | Erico N. de Souza |