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Results: 24
Number of items: 24
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de Vries, G., & van Someren, M. (2009). Unsupervised ship trajectory modeling and prediction using compression and clustering. In M. van Erp, H. Stehouwer, & M. van Zaanen (Eds.), Benelearn 09: the 18th Annual Belgian-Dutch Conference on Machine Learning: proceedings of the conference (pp. 7-12). Tilburg centre for Creative Computing (TiCC), Tilburg University. http://benelearn09.uvt.nl/Proceedings_Benelearn_09.pdf
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van Hage, W. R., Malaisé, V., de Vries, G., Schreiber, G., & van Someren, M. (2009). Combining ship trajectories and semantics with the simple event model (SEM). In A. Scherp, R. Jain, & M. Kankanhalli (Eds.), Proceedings of the 1st ACM international workshop on events in multimedia (pp. 73-80). ACM. http://doi.acm.org/10.1145/1631024.1631039
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de Vries, G., Malaisé, V., van Someren, M., Adriaans, P., & Schreiber, G. (2008). Semi-automatic ontology extension in the maritime domain. BNAIC, 20, 265-272. http://eprints.eemcs.utwente.nl/13354/01/bnaic2008-proceedings.pdf
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