Stan Matwin

Affiliations: 
University of Ottawa, Ottawa, ON, Canada 
Area:
Computer Science
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"Stan Matwin"
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Publications

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de Souza EN, Boerder K, Matwin S, et al. (2016) Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning. Plos One. 11: e0158248
Garcia LPF, Lorena AC, Matwin S, et al. (2016) Ensembles of label noise filters: a ranking approach Data Mining and Knowledge Discovery. 1-25
Jiang X, Silver DL, Hu B, et al. (2016) Fishing activity detection from AIS data using autoencoders Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9673: 33-39
Pesaranghader A, Matwin S, Sokolova M, et al. (2015) simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes. Bioinformatics (Oxford, England)
Bigdeli E, Raahemi B, Mohammadi M, et al. (2015) A fast noise resilient anomaly detection using GMM-based collective labelling Proceedings of the 2015 Science and Information Conference, Sai 2015. 337-344
Jafer Y, Matwin S, Sokolova M. (2015) A framework for a privacy-aware feature selection evaluation measure 2015 13th Annual Conference On Privacy, Security and Trust, Pst 2015. 62-69
Moreno BN, Times VC, Matwin S. (2015) A spatio-temporal network model to represent and analyze LBSNs 2015 Ieee International Conference On Pervasive Computing and Communication Workshops, Percom Workshops 2015. 142-147
Wang X, Liu X, Matwin S. (2015) A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets Proceedings - 2014 Ieee International Conference On Big Data, Ieee Big Data 2014. 45-51
Liu B, De Souza EN, Matwin S, et al. (2015) Knowledge-based clustering of ship trajectories using density-based approach Proceedings - 2014 Ieee International Conference On Big Data, Ieee Big Data 2014. 603-608
Soares Júnior A, Moreno BN, Times VC, et al. (2015) GRASP-UTS: an algorithm for unsupervised trajectory segmentation International Journal of Geographical Information Science. 29: 46-68
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