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ORCIDErico N. de Souza
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2010 – 2019
- 2017
[c17]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: 192-200- [c16]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 - [c15]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: 4044-4051 - [i1]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 abs/1705.02636 (2017) - 2016
- [c14]Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin:
Fishing Activity Detection from AIS Data Using Autoencoders. Canadian AI 2016: 33-39 - [c13]Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin:
Identifying Fishing Activities from AIS Data with Conditional Random Fields. FedCSIS 2016: 47-52 - 2015
- [c12]Behrouz Haji Soleimani, Stan Matwin, Erico N. de Souza:
A Density-Penalized Distance Measure for Clustering. Canadian AI 2015: 238-249 - [c11]Behrouz Haji Soleimani, Erico N. de Souza, Casey Hilliard, Stan Matwin:
Anomaly detection in maritime data based on geometrical analysis of trajectories. FUSION 2015: 1100-1105 - [c10]Bo Liu, Erico N. de Souza, Casey Hilliard, Stan Matwin:
Ship movement anomaly detection using specialized distance measures. FUSION 2015: 1113-1120 - 2014
- [c9]Xiaoguang Wang, Xuan Liu, Bo Liu, Erico N. de Souza, Stan Matwin:
Vessel route anomaly detection with Hadoop MapReduce. IEEE BigData 2014: 25-30 - [c8]Bo Liu, Erico N. de Souza, Stan Matwin, Marcin Sydow:
Knowledge-based clustering of ship trajectories using density-based approach. IEEE BigData 2014: 603-608 - [c7]Erico N. de Souza, Stan Matwin, Stenio F. L. Fernandes:
Traffic classification with on-line ensemble method. GIIS 2014: 1-4 - 2013
- [c6]Erico N. de Souza, Stan Matwin:
Improvements to Boosting with Data Streams. Canadian AI 2013: 248-255 - [c5]Erico N. de Souza, Stan Matwin, Stenio Fernandes:
Network traffic classification using AdaBoost Dynamic. ICC Workshops 2013: 1319-1324 - 2012
- [c4]Erico N. de Souza, Stan Matwin:
Improvements to AdaBoost Dynamic. Canadian AI 2012: 293-298 - 2011
- [c3]Erico N. de Souza, Stan Matwin:
Extending AdaBoost to Iteratively Vary Its Base Classifiers. Canadian AI 2011: 384-389
2000 – 2009
- 2006
- [c2]Erico N. de Souza, Edjander Mota:
DBMS for web: The future of database management. IRI 2006: 1-5 - 2003
- [c1]Erico N. de Souza:
A distributed platform to aeronautical application. IRI 2003: 377-384
Coauthor Index
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