Erico N. de Souza

According to our database, Erico N. de Souza authored at least 17 papers between 2003 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

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

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

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

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks.

Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin

Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

2016

Identifying Fishing Activities from AIS Data with Conditional Random Fields.

Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Fishing Activity Detection from AIS Data Using Autoencoders.

Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2016

2015

Anomaly detection in maritime data based on geometrical analysis of trajectories.

Behrouz Haji Soleimani, Erico N. de Souza, Casey Hilliard, Stan Matwin

Proceedings of the 18th International Conference on Information Fusion, 2015

Ship movement anomaly detection using specialized distance measures.

Bo Liu, Erico N. de Souza, Casey Hilliard, Stan Matwin

Proceedings of the 18th International Conference on Information Fusion, 2015

A Density-Penalized Distance Measure for Clustering.

Behrouz Haji Soleimani, Stan Matwin, Erico N. de Souza

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Traffic classification with on-line ensemble method.

Erico N. de Souza, Stan Matwin, Stenio F. L. Fernandes

Proceedings of the Global Information Infrastructure and Networking Symposium, 2014

Vessel route anomaly detection with Hadoop MapReduce.

Xiaoguang Wang, Xuan Liu, Bo Liu, Erico N. de Souza, Stan Matwin

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Knowledge-based clustering of ship trajectories using density-based approach.

Bo Liu, Erico N. de Souza, Stan Matwin, Marcin Sydow

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Network traffic classification using AdaBoost Dynamic.

Erico N. de Souza, Stan Matwin, Stenio Fernandes

Proceedings of the IEEE International Conference on Communications, 2013

Improvements to Boosting with Data Streams.

Erico N. de Souza, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Improvements to AdaBoost Dynamic.

Erico N. de Souza, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2012

2011

Extending AdaBoost to Iteratively Vary Its Base Classifiers.

Erico N. de Souza, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2011

2006

DBMS for web: The future of database management.

Erico N. de Souza, Edjander Mota

Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006

2003

A distributed platform to aeronautical application.

Erico N. de Souza

Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003