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Mantas Lukoševičius' recent publications

Mantas Lukoševičius >

Recent publications

  • M. Lukoševičius, V. Marozas (2014): Noninvasive fetal QRS detection using an echo state network and dynamic programming. Physiological Measurement, 2014, 35, 1685 (publisher pdf)
  • M. Lukoševičius, V. Marozas (2013): Noninvasive Fetal QRS Detection using Echo State Network. Proceedings of Computing in Cardiology 2013, 2013, 40, 205-208 (publisher pdf)
  • A. Kriščiukaitis, M. Lukoševičius, R. Petrolis, V. Marozas, S. Daukantas, V. Gintautas, A. Lukoševičius (2013): Wearable system concept for monitoring of maternal and fetal heart activity. Proceedings of the 17th International Conference "Biomedical Engineering", 2013, 36-40 (publisher pdf)
  • M. Lukoševičius, H. Jaeger, B. Schrauwen (2012): Reservoir Computing Trends. KI - Künstliche Intelligenz, 1-7 (preprint pdf)
  • M. Lukoševičius (2012): A Practical Guide to Applying Echo State Networks. In: G. Montavon, G. B. Orr, and K.-R. Müller (eds.) Neural Networks: Tricks of the Trade, 2nd ed. Springer LNCS 7700, pp 659-686 (preprint pdf)
  • M. Lukoševičius (2012): Self-organized reservoirs and their hierarchies. In: Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012). Springer-Verlag LNCS 7552, pp 587-595 (preprint pdf)
  • M. Lukoševičius (2012): Reservoir Computing and Self-Organized Neural Hierarchies. PhD thesis, School of Engineering and Science, Jacobs University. 146 pp. (pdf)
  • M. Lukoševičius (2010): On self-organizing reservoirs and their hierarchies. Jacobs University technical report Nr. 25 (pdf)
  • S. Daukantas, M. Lukoševičius, V. Marozas, A. Lukoševičius (2010): Comparison of "black box" and "gray box" methods for lost data reconstruction in multichannel signals. Proceedings of the 14th International Conference "Biomedical Engineering", 2010, 135-138 (pdf)
  • M. Lukoševičius, H. Jaeger (2009): Reservoir Computing Approaches to Recurrent Neural Network Training. Computer Science Review 3(3), 127-149. (preprint pdf)
  • H. Jaeger, M. Lukoševičius, D. Popovici (2007): Optimization and Applications of Echo State Networks with Leaky Integrator Neurons. Neural Networks 20(3), 335-352, 2007. (preprint pdf)
  • M. Lukoševičius, H. Jaeger (2007): Overview of Reservoir Recipes. Jacobs University technical report Nr. 11 (pdf)
  • M. Lukoševičius (2007): Echo State Networks with Trained FeedbacksIUB technical report Nr. 4 (38 pp.) (pdf)
  • M. Lukoševičius, D. Popovici, H. Jaeger, U. Siewert (2006): Time Warping Invariant Echo State Networks. IUB technical report Nr. 2 (15 pp.) (pdf)