Stan Matwin
Affiliations: | University of Ottawa, Ottawa, ON, Canada |
Area:
Computer ScienceGoogle:
"Stan Matwin"Children
Sign in to add traineeSylvain Letourneau | grad student | 2003 | University of Ottawa |
Mikhail Jiline | grad student | 2011 | University of Ottawa |
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Publications
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Varlamis I, Kontopoulos I, Tserpes K, et al. (2020) Building navigation networks from multi-vessel trajectory data Geoinformatica. 1-29 |
Etemad M, Soares A, Etemad E, et al. (2020) SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels Geoinformatica. 1-21 |
Pesaranghader A, Matwin S, Sokolova M, et al. (2019) deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. Journal of the American Medical Informatics Association : Jamia |
Thomas M, Martin B, Kowarski K, et al. (2019) Interpreting the latent representations of a convolutional neural network trained on spectrograms The Journal of the Acoustical Society of America. 146: 2958-2959 |
Lopes CC, Cesário-Times V, Matwin S, et al. (2018) An Encryption Methodology for Enabling the Use of Data Warehouses on the Cloud International Journal of Data Warehousing and Mining. 14: 38-66 |
Bigdeli E, Mohammadi M, Raahemi B, et al. (2018) Incremental anomaly detection using two-layer cluster-based structure Information Sciences. 429: 315-331 |
Soares Junior A, Renso C, Matwin S. (2017) ANALYTiC: An Active Learning System for Trajectory Classification. Ieee Computer Graphics and Applications. 37: 28-39 |
de Souza EN, Boerder K, Matwin S, et al. (2016) Correction: Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning. Plos One. 11: e0163760 |
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 |
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) |