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Results: 118
Number of items: 118
  • Popescu, A., Broekens, J., & van Someren, M. (2014). GAMYGDALA: an Emotion Engine for Games. IEEE Transactions on Affective Computing, 5(1), 32-44. https://doi.org/10.1109/T-AFFC.2013.24
  • Open Access
    de Vries, G. K. D., & van Someren, M. (2014). A Comparison Between Alignment and Integral Based Kernels for Vessel Trajectories. (Technical report UVA-SNE; No. 2014-01). Universiteit van Amsterdam-System and Network Engineering.
  • Modena, G., & van Someren, M. W. (2013). Analyzing Grid Log Data with Affinity Propagation. In M. Ali, T. Bosse, K. V. Hindriks, M. Hoogendoorn, C. M. Jonker, & J. Treur (Eds.), Recent trends in applied artificial intelligence: 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE) Amsterdam, The Netherlands, June 17-21, 2013 Proceedings (pp. 83-91). (Lecture Notes in Artificial Intelligence; No. 7906). Springer. https://doi.org/10.1007/978-3-642-38577-3_9
  • de Vries, G., & van Someren, M. (2013). Recognizing Vessel Movements from Historical Data. In P. van de Laar, J. Tretmans, & M. Borth (Eds.), Situation awareness with systems of systems (pp. 105-118). Springer. https://doi.org/10.1007/978-1-4614-6230-9_7
  • Tanha, J., Saberian, M. J., & van Someren, M. (2013). Multiclass Semi-Supervised Boosting and Similarity Learning. In H. Xiong, G. Karypis, B. Thuraisingham, D. Cook, & X. Wu (Eds.), IEEE 13th International Conference on Data Mining: ICDM 2013: 7-10 December 2013, Dallas, Texas: proceedings (pp. 1205-1210). IEEE Computer Society. https://doi.org/10.1109/ICDM.2013.108
  • Open Access
    Tanha, J. (2013). Ensemble approaches to semi-supervised learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • van Hage, W. R., Malaisé, V., de Vries, G. K. D., Schreiber, G., & van Someren, M. W. (2012). Abstracting and reasoning over ship trajectories and web data with the Simple Event Model (SEM). Multimedia Tools and Applications, 57(1), 175-197. https://doi.org/10.1007/s11042-010-0680-2
  • Tanha, J., van Someren, M., de Bakker, M., Bouten, W., Shamoun-Baranes, J., & Afsarmanesh, H. (2012). Multiclass semi-supervised learning for animal behavior recognition from accelerometer data. In 24th IEEE International Conference on Tools with Artificial Intelligence (pp. 690-697). IEEE. https://doi.org/10.1109/ICTAI.2012.98
  • de Vries, G. K. D., & van Someren, M. (2012). Machine learning for vessel trajectories using compression, alignments and domain knowledge. Expert Systems With Applications, 39(18), 13426-13439. https://doi.org/10.1016/j.eswa.2012.05.060
  • Open Access
    de Vries, G. K. D. (2012). Kernel methods for vessel trajectories. [Thesis, fully internal, Universiteit van Amsterdam]. SIKS.
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