Michal Cernansky's Homepage
Publications

Journal and conference papers:

  • M. Cernansky: Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit. In: Lecture Notes in Computer Science. Artificial Neural Networks - ICANN 2008, Limassol, Cyprus, 2009, Accepted.
  • M. Cernansky, M. Makula and L. Benuskova: Improving the state space organization of untrained recurrent networks. In: Lecture Notes in Computer Science. Neural Information Processing - ICONIP 2008, Auckland, New Zealand, In Press..
  • M. Cernansky and L. Benuskova: Training recurrent connectionist models on symbolic time series. In: Lecture Notes in Computer Science. Neural Information Processing - ICONIP 2008, Auckland, New Zealand, In Press..
  • M. Cernansky and P. Tino: Predictive modeling with echo state networks. In: Lecture Notes in Computer Science. Artificial Neural Networks - ICANN 2008, Prague, Czech Republik, 2008, pages 778–787.
  • M. Cernansky and P. Tino: Processing Symbolic Sequences using Echo State Networks. In: From associations to rules: Proceedings of the 10th Neural Computation and Psychology Workshop (NCPW10), Dijon, France, pages 153-164, 2008.
  • S. Fank and M. Cernansky: Generalization and Systematicity in Echo State Networks. In: Proceedings of the 30th Cognitive Science Conference, Washington DC, USA, pages 733–738, 2008.
  • M. Cernansky, M. Nehez, D. Chuda and I. Policky: On Using of Turing Machine Simulators in Teaching of Theoretical Computer Science. In: Aplimat - Journal of Applied Mathematics 1 (2008), 2, pages 301-312, SUT in Bratislava, 2008.
  • M. Cernansky and M. Habala: Novel Recurrent Connectionist Approaches. In: International Conference SSKI Cybernetics and Informatics, ŽDIAR, Slovak Republic, 2008.
  • Z. Petráková and M. Cernansky: Automatic Number Plate Recognition Using Support Vector Machines. In: International Conference SSKI Cybernetics and Informatics, ŽDIAR, Slovak Republic, 2008.
  • M. Cernansky, M. Makula and Ľ. Beňušková: Organization of the state space of a simple recurrent neural network before and after training on recursive linguistic structures. Neural Networks, 20(2), pages 236-244, 2007.
  • M. Cernansky and P. Tino: Comparison of Echo State Networks with Simple Recurrent Networks and Variable-Length Markov Models on Symbolic Sequences. In: Lecture Notes in Computer Science. - ISSN 0302-9743. - Vol. 4668 Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 2007 : Proceedings, Part I (2007). - : Springer-Verlag Berlin Heidelberg, 2007, s. 618-627
  • M. Cernansky, M. Makula, P. Lacko and P. Trebatický Text Correction Using Approaches Based on Markovian Architectural Bias. In: EANN 2007, Proceedings of the 10th International Conference on Engineering Applications of Neural Networks, Thessaloniki, Greece, 29.-31.8.2007. ISBN 978-960-287-093-8. pages 221-228
  • M. Cernansky and M. Makula: Spracovanie postupností symbolov pomocou ESN sietí. In: Kognice a umělý život - KUZV VII, Smolenice, Slovensko, 2007 (in Slovak).
  • M. Habala and M. Cernansky: Adaptácia vhodnej dynamiky v neurónových sieťach založených na echo stavoch. In: Kognice a umělý život - KUZV VII, Smolenice, Slovensko, 2007 (in Slovak).
  • M. Cernansky: Trénovanie rekurentných neurónových sietí - algoritmy a implementácia. In: Kognice a umělý život - KUZV VI, Třešť, Czech Republic, pages 129-136, 2006 (in Slovak).
  • P. Kasan and M. Cernansky: Riadenie robota pomocou LSTM neurónovej siete. In: Kognice a umělý život - KUZV VI, Třešť, Czech Republic, pages 129-136, 2006 (in Slovak).
  • M. Cernansky and M. Makula. Feed-forward Echo-state Networks. In Proceedings of International Joint Conference on Neural Networks IJCNN 2005, Montreal, Canada, pages 1479-1482, 2005.
  • J. Maretak and M. Cernansky. Trénovanie rekurentných neurónových sietí pomocou duálnych Kalmanových filtrov. In Kognice a umělý život - KUZV V, Smolenice, Slovakia, 2005 (in Slovak).
  • M. Makula M. and M.Cernansky. Evaluation of neural network performance based on entropy. In International Conference and Competition of students' scientific works STUDENT EEICT 2004, Bratislava, Slovakia, 2004.
  • M. Cernansky and M. Makula. Pamät v náhodne inicializovaných rekurentných neurónových sieťach. In Kognice a umělý život - KUZV IV, Smolenice, Slovakia, 2004 (in Slovak).
  • M. Makula and M. Cernansky. Neurónové siete založené na echo stavoch. In Kognice a umělý život - KUZV IV, Smolenice, Slovakia, 2004 (in Slovak).
  • P. Tino, M. Cernansky and L. Benuskova. Markovian architectural bias of recurrent neural networks. In: IEEE Transactions on Neural Networks, 15(1), pages 6-15, 2004.
  • M. Cernansky, M. Makula and L. Benuskova. Processing symbolic sequences by recurrent neural networks trained by Kalman filter based algorithms. In: SOFSEM 2004: Theory and Practice of Computer Science, Merin, Czech Republic, pages 58-65. 2004.
  • M. Makula, M. Cernansky and L. Benuskova. Approaches based on Markovian architectural bias in recurrent neural networks. In: Lecture Notes in Computer Science, Vol. 2932 / 2003. SOFSEM 2004: Theory and Practice of Computer Science, Merin, Czech Republic, pages 257 - 264. 2004.
  • M. Cernansky and L. Benuskova. Simple recurrent network trained by RTRL and extended Kalman filter algorithms. In: Neural Network World, 13(3), pp. 223-234, 2003.
  • M. Cernansky and M. Makula. Extended Kalman filter aproximation for training long short-term memory networks. In: Proc. of the 6th Conference on Electrical Engineering and Information Technology for PhD students ElITech ’03, Bratislava, Slovakia, 2003.
  • M. Makula and M. Cernansky. Echo state networks - wobbling trick. In: Proc. of the 6th Conference on Electrical Engineering and Information Technology for PhD students ElITech ’03, Bratislava, Slovakia, 2003.
  • P. Tino, M. Cernansky and L. Benuskova. Markovian architectural bias of recurrent neural networks. In: P. Sincak, J. Vascak, V. Kvasnicka and J. Pospichal, editors, Intelligent Technologies - Theory and applications. Frontiers in AI and Applications, vol. 76, 13(3), pages 17-23. IOS Press, Amsterdam, 2002.
  • M. Cernansky. Training simple recurrent network on symbolic time-series using RTRL algorithm. In: Proc. of the 5th Conference on Electrical Engineering and Information Technology for PhD students ElITech ’02, Bratislava, Slovakia, 2002.
  • M. Cernansky and L. Benuskova. Finite-state Reber automaton and the recurrent neural networks trained in supervised and unsupervised manner. In: Lecture Notes in Computer Science, Artificial Neural Networks - ICANN 2001, Wienna, Austria, pages 737-742. 2001.
  • M. Cernansky. Neural networks for time-series processing. In: Proc. of the 4th Conference on Electrical Engineering and Information Technology for PhD students ElITech ’01, Bratislava, Slovakia, 2001.

Seminar presentations and other papers:

  • M. Cernansky. Comparison of Recurrent Neural Networks with Markov Models on Complex Symbolic Sequences. PhD Thesis, supervised by Ľ. Benuskova, Faculty of Informatics and Information Technologies, Slovak Technical University, Bratislava, 2007.
  • M. Cernansky. Fuzzy Evolutionary Algorithms. Presentation on: Soft Computing Seminar, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Slovakia, 2004.
  • Makula and M. Cernansky. Interesting trends in recurrent neural networks - ESN Networks. Presentation on: Soft Computing Seminar, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Slovakia, 2004.
  • M. Cernansky and M. Makula. Interesting trends in recurrent neural networks - LSTM Networks. Presentation on: Soft Computing Seminar, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Slovakia, 2003.
  • M. Cernansky. Spracovanie jazykových štruktúr pomocou rekurentných neuronových sietí Presentation on: Seminár z umelej inteligencie, Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia, 2002.
  • M. Cernansky. Recurrent Neural Networks. Written Part for PhD Examination, supervised by Ľ. Benuskova, Faculty of Informatics and Information Technologies, Slovak Technical University, Bratislava, 2001.

Selected publications:

Selected publiactions