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Publications 2019

Papers in WoS Journals

NAVARA, M. and J. ŠINDELÁŘ. Imperfect information as a source of non-symmetry in the two envelope problem. International Journal of Approximate Reasoning. 2019, 112 37-54. ISSN 0888-613X. DOI 10.1016/j.ijar.2019.05.011.

PRŮŠA, D. and T. WERNER. Solving LP Relaxations of Some NP-Hard Problems Is As Hard As Solving Any Linear Program. SIAM JOURNAL ON OPTIMIZATION. 2019, 29(3), 1745-1771. ISSN 1052-6234. DOI 10.1137/17M1142922.

HARDING, J., et al. Boolean subalgebras of orthoalgebras. ORDER-A JOURNAL ON THE THEORY OF ORDERED SETS AND ITS APPLICATIONS. 2019, 36(3), 563-609. ISSN 0167-8094. DOI 10.1007/s11083-019-09483-6.

NAVARA, M. Formulas for generators of R-implications. Fuzzy Sets and Systems. 2019, 359 80-89. ISSN 0165-0114. DOI 10.1016/j.fss.2018.09.011.

Papers in Other Journals

NAVARA, M. and V. NOVÁK. Dialogue between Mirko Navara and Vilem Novak. Mathware & Soft Computing. 2019, 26(1), 4-9.

Conference Proceedings

MRÁZ, F., D. PRŮŠA, and M. WEHAR. Two-Dimensional Pattern Matching Against Basic Picture Languages. In: HOSPODÁR, M. and G. JIRÁSKOVÁ, eds. Implementation and Application of Automata. 24th International Conference on Implementation and Application of Automata, Košice, 2019-07-22/2019-07-25. Berlin, Heidelberg: Springer, 2019. p. 209-221. Lecture Notes in Computer Science. vol. 11601. ISSN 0302-9743. ISBN 978-3-030-23678-6. DOI 10.1007/978-3-030-23679-3_17.

NAVARA, M. and M. PETRÍK. Computing generators of binary operations from partial derivatives. In: DE BAETS, B., et al., eds. Book of Abstracts of the 11th Conference of the European Society for Fuzzy Logic and Technology. The 11th Conference of the European Society for Fuzzy Logic and Technology, Praha, 2019-09-09/2019-09-13. University of Ostrava, 2019. p. 64-65. ISBN 978-80-7599-110-2.

FUJIYOSHI, A. and D. PRŮŠA. A Simple Extension to Finite Tree Automata for Defining Sets of Labeled, Connected Graphs. In: HOSPODÁR, M. and G. JIRÁSKOVÁ, eds. Implementation and Application of Automata. 24th International Conference on Implementation and Application of Automata, Košice, 2019-07-22/2019-07-25. Berlin, Heidelberg: Springer, 2019. p. 121-132. Lecture Notes in Computer Science. vol. 11601. ISSN 0302-9743. ISBN 978-3-030-23678-6. DOI 10.1007/978-3-030-23679-3_10.

FRANC, V. and D. PRŮŠA. On Discriminative Learning of Prediction Uncertainty. In: International Conference on Machine Learning. International Conference on Machine Learning, ICML 2019, Long Beach, 2019-06-10/2019-06-15. Proceedings of Machine Learning Research, 2019. p. 3465-3480. ISSN 2640-3498. ISBN 978-1-5108-8698-8.

NAVARA, M. and V. VORÁČEK. Minimizing quantum structures with small spaces of measures. In: DE BAETS, B., et al., eds. Book of Abstracts of the 11th Conference of the European Society for Fuzzy Logic and Technology. The 11th Conference of the European Society for Fuzzy Logic and Technology, Praha, 2019-09-09/2019-09-13. University of Ostrava, 2019. p. 65. ISBN 978-80-7599-110-2.

SHEKHOVTSOV, O. and B. FLACH. Stochastic Normalizations as Bayesian Learning. In: ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part II. ACCV 2018: 14th Asian Conference on Computer Vision, Perth, 2018-12-04/2018-12-06. Springer, 2019. p. 463-479. LNCS. vol. 11362. ISSN 0302-9743. ISBN 978-3-030-20889-9. DOI 10.1007/978-3-030-20890-5_30.

SHEKHOVTSOV, O. and B. FLACH. Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. In: International Conference on Learning Representations. New Orleans, Ernest N. Morial Convention Center, 2019-05-06/2019-06-09. Massachusetts: OpenReview.net / University of Massachusetts, 2019. Available from: https://openreview.net/forum?id=SkMuPjRcKQ