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Vreeken, J., On real-world temporal pattern recognition using Liquid State Machines, : Institute for Information and Computing Sciences, Utrecht University, Submitted.
Verstraeten, D., "Reservoir Computing: computation with dynamical systems", Electronics and Information Systems, Gent, Ghent University, pp. 190, 2009.  Download: dvrstrae_organic.pdf (7.23 MB)
Verstraeten, D., B. Schrauwen, D. Stroobandt, and J. Van Campenhout, "Isolated word recognition with the Liquid State Machine: a case study", Information Processing Letters, vol. 95, no. 6, pp. 521–528, 2005.
Verstraeten, D., Een studie van de {L}iquid {S}tate {M}achine: een woordherkenner, : Ghent University, ELIS department, 2004.
Verstraeten, D., B. Schrauwen, S. Dieleman, P. Brakel, P. Buteneers, and D. Pecevski, "Oger: Modular Learning Architectures For Large-Scale Sequential Processing", Journal of Machine Learning Research, Submitted.  Download: Verstraeten11.pdf (186.23 KB)
Verstraeten, D., B. Schrauwen, and J V. Campenhout, "Recognition of Isolated Digits using a Liquid State Machine", Proceedings of SPS-DARTS 2005, pp. 135–138, April, 2005.
Verstraeten, D., B. Schrauwen, and D. Stroobandt, "Reservoir-based techniques for speech recognition", Proceedings of the World Conference on Computational Intelligence, pp. 1050-1053, 2006.
Verstraeten, D., B. Schrauwen, and D. Stroobandt, "Isolated word recognition using a Liquid State Machine", Proceedings of the 13th European Symposium on Artificial Neural Networks (ESANN), Evere, D-side Publications, pp. 435–440, May, 2005.