Masaryk University

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    2003

    1. Learning Representative Patterns From Real Chess Positions: A Case Study
      ŽIŽKA, Jan and Michal MÁDR. Learning Representative Patterns From Real Chess Positions: A Case Study. In Proceedings of the First Indian International Conference on Artificial Intelligence (IICAI-03). Hyderabad, India: IICAI-03, 2003, p. 1374-1387. ISBN 0-9727412-0-8.
      More: https://is.muni.cz/publication/490371/en

    2002

    1. Segmentation and Visualization of Medical Images with the Use of Multimodal Registration
      SCHWARZ, Daniel and Ivo PROVAZNÍK. Segmentation and Visualization of Medical Images with the Use of Multimodal Registration. In Analysis of Biomedical Signals and Images. 2002nd ed. Brno: Vutium Press, 2002, p. 362-364. ISBN 80-214-2120-7.
      More: https://is.muni.cz/publication/618817/en

    2001

    1. Statistically Based Segmentation of Medical Images and Their Visualisation
      SCHWARZ, Daniel and Ivo PROVAZNÍK. Statistically Based Segmentation of Medical Images and Their Visualisation. In VI International Conference PROCEEDINGS Symbiosis 2001. Gliwice: Silesian University of Technology, 2001, p. 10-14. ISBN 80-214-0893-6.
      More: https://is.muni.cz/publication/617764/en

    2000

    1. Learning Middlegame Patterns in Chess: A Case Study.
      KUBAT, Miroslav and Jan ŽIŽKA. Learning Middlegame Patterns in Chess: A Case Study. In Proceedings of the 13th International Conference on Industrial & Engineering Applications of AI & Expert Systems. New Orleans, LA, U.S.A.: Springer Verlag, 2000, p. 426-433. LNCS.
      More: https://is.muni.cz/publication/351333/en
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