Erico N. de Souza

Publication Activity (10 Years)

Years Active: 2003-2017
Publications (10 Years): 6

Top Topics

Weak Classifiers

Recurrent Neural Networks

Anomaly Detection

Anytime Classification

Top Venues

Canadian Conference on AI

Publications

Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks. CoRR (2017)
Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin
Improving point-based AIS trajectory classification with partition-wise gated recurrent units. IJCNN (2017)
Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin
Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. ESANN (2017)
Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks. CASCON (2017)
Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin
Fishing Activity Detection from AIS Data Using Autoencoders. Canadian Conference on AI (2016)
Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin
Identifying Fishing Activities from AIS Data with Conditional Random Fields. FedCSIS (2016)
Bo Liu, Erico N. de Souza, Casey Hilliard, Stan Matwin
Ship movement anomaly detection using specialized distance measures. FUSION (2015)
Behrouz Haji Soleimani, Stan Matwin, Erico N. de Souza
A Density-Penalized Distance Measure for Clustering. Canadian Conference on AI (2015)
Behrouz Haji Soleimani, Erico N. de Souza, Casey Hilliard, Stan Matwin
Anomaly detection in maritime data based on geometrical analysis of trajectories. FUSION (2015)
Bo Liu, Erico N. de Souza, Stan Matwin, Marcin Sydow
Knowledge-based clustering of ship trajectories using density-based approach. IEEE BigData (2014)
Erico N. de Souza, Stan Matwin, Stenio F. L. Fernandes
Traffic classification with on-line ensemble method. GIIS (2014)
Xiaoguang Wang, Xuan Liu, Bo Liu, Erico N. de Souza, Stan Matwin
Vessel route anomaly detection with Hadoop MapReduce. IEEE BigData (2014)
Erico N. de Souza, Stan Matwin
Improvements to Boosting with Data Streams. Canadian Conference on AI (2013)
Erico N. de Souza, Stan Matwin, Stenio Fernandes
Network traffic classification using AdaBoost Dynamic. ICC Workshops (2013)
Erico N. de Souza, Stan Matwin
Improvements to AdaBoost Dynamic. Canadian Conference on AI (2012)
Erico N. de Souza, Stan Matwin
Extending AdaBoost to Iteratively Vary Its Base Classifiers. Canadian Conference on AI (2011)
Erico N. de Souza, Edjander Mota
DBMS for web: The future of database management. IRI (2006)
Erico N. de Souza
A distributed platform to aeronautical application. IRI (2003)