13133 / 13168 - Machine Learning

Publications 2020

Papers in WoS Journals

SIXTA, T., et al. Coupling cell detection and tracking by temporal feedback. Machine Vision and Applications. 2020, 31(4), ISSN 0932-8092. DOI 10.1007/s00138-020-01072-7.

Books, Book Chapters and Lecture Notes

NAVARA, M. and M. PETRÍK. Generators of fuzzy logical operations. In: KREINOVICH, V. and H.T. NGUYEN, eds. Algebraic Techniques and Their Use in Describing and Processing Uncertainty. Cham: Springer, 2020. p. 89-112. Studies in Computational Intelligence. vol. 878. ISSN 1860-949X. ISBN 978-3-030-38565-1. DOI 10.1007/978-3-030-38565-1_8. Available from: https://www.springer.com/gp/book/9783030385644?wt_mc=Internal.Event.1.SEM.ChapterAuthorCongrat

Conference Proceedings

HARDING, J., et al. New description of quantum structures. In: MESIAR, R., V. NOVÁK, and S. SAMINGER-PLATZ, eds. Fifteenth International Conference on Fuzzy Sets Theory and Applications. Liptovský Ján, 2020-01-26/2020-01-31. University of Ostrava, 2020.

DLASK, T. and T. WERNER. A Class of Linear Programs Solvable by Coordinate-Wise Minimization. In: Learning and Intelligent Optimization. The 14th Learning and Intelligent Optimization Conference, Athens, 2020-05-24/2020-05-28. Basel: Springer Nature Switzerland AG, 2020. p. 52-67. LNCS. vol. 12096. ISSN 0302-9743. ISBN 978-3-030-53551-3. DOI 10.1007/978-3-030-53552-0_8.

SHEKHOVTSOV, O., V. YANUSH, and B. FLACH. Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). NeurIPS2020: 33rd Neural Information Processing Systems, Vancouver, 2020-12-06/2020-12-12. Montreal: Neural Information Processing Society, 2020. ISSN 1049-5258. Available from: https://neurips.cc/virtual/2020/public/poster_96fca94df72984fc97ee5095410d4dec.html

WERNER, T., D. PRŮŠA, and T. DLASK. Relative Interior Rule in Block-Coordinate Descent. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, 2020-06-13/2020-06-19. USA: IEEE Computer Society, 2020. p. 7556-7564. ISSN 1063-6919. ISBN 978-1-7281-7169-2. DOI 10.1109/CVPR42600.2020.00758.

KADLEC, J. and D. PRŮŠA. Solvers for Mathematical Word Problems in Czech. In: Proceedings of the 20th Conference Information Technologies - Applications and Theory (ITAT 2020). ITAT 2020: Information Technologies – Applications and Theory, hotel Tyrapol, Oravská Lesná, 2020-09-18/2020-09-22. Aachen: CEUR Workshop Proceedings, 2020. p. 18-25. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-2718/paper09.pdf

PRŮŠA, D. and M. WEHAR. Complexity of Searching for 2 by 2 Submatrices in Boolean Matrices. In: International Conference on Developments in Language Theory. Tampa, 2020-05-11/2020-05-15. Springer, Cham, 2020. p. 266-279. Lecture Notes in Computer Science. vol. 12086. ISSN 0302-9743. ISBN 978-3-030-48515-3. DOI 10.1007/978-3-030-48516-0_20.

DLASK, T. Unit Propagation by Means of Coordinate-Wise Minimization. In: Machine Learning, Optimization, and Data Science. International Conference on Machine Learning, Optimization, and Data Science, Certosa di Pontignano, Siena, 2020-07-19/2020-07-23. Basel: Springer Nature Switzerland AG, 2020. p. 688-699. LNCS. vol. 12565. ISSN 0302-9743. ISBN 978-3-030-64582-3. DOI 10.1007/978-3-030-64583-0_60.

SIXTA, T., et al. FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition. In: BARTOLI, A. and A. FUSIELLO, eds. Computer Vision – ECCV 2020 Workshops, Part VI. ECCV 2020 - 16th European Conference on Computer Vision, Glasgow, 2020-08-23/2020-08-28. Cham: Springer International Publishing, 2020. p. 463-481. LNCS. vol. 12540. ISSN 0302-9743. ISBN 978-3-030-65413-9. DOI 10.1007/978-3-030-65414-6_32.

PRŮŠA, D. Complexity of Two-Dimensional Rank-Reducing Grammars. In: 22nd International Conference, DCFS 2020, Vienna, Austria, August 24–26, 2020, Proceedings. DCFS 2020: Descriptional Complexity of Formal Systems, Vienna, 2020-08-24/2020-08-26. Springer, Cham, 2020. p. 155-166. Lecture Notes in Computer Science. vol. 12442. ISSN 0302-9743. ISBN 978-3-030-62535-1. DOI 10.1007/978-3-030-62536-8_13.

DLASK, T. and T. WERNER. On Relation Between Constraint Propagation and Block-Coordinate Descent in Linear Programs. In: Principles and Practice of Constraint Programming. International Conference on Principles and Practice of Constraint Programming, Louvain-la-Neuve, 2020-09-07/2020-09-11. Basel: Springer Nature Switzerland AG, 2020. p. 194-210. LNCS. vol. 12333. ISSN 0302-9743. ISBN 978-3-030-58474-0. DOI 10.1007/978-3-030-58475-7_12.

BRABEC, J., et al. On Model Evaluation Under Non-constant Class Imbalance. In: Computational Science - ICCS 2020. 20th International Conference on Computational Science 2020, Amsterdam, 2020-06-03/2020-06-05. Cham: Springer, 2020. p. 74-87. vol. 12140. ISSN 0302-9743. ISBN 978-3-030-50422-9. DOI 10.1007/978-3-030-50423-6_6.

DLASK, T. On Coordinate-Wise Minimization Applied to General Convex Optimization Problems. In: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Verona, 2020-09-16/2020-09-18. Amsterdam: Elsevier B.V., 2020. p. 1328-1337. Procedia Computer Science. vol. 176. ISSN 1877-0509. DOI 10.1016/j.procs.2020.09.142.

DLASK, T. and T. WERNER. Bounding Linear Programs by Constraint Propagation: Application to Max-SAT. In: Principles and Practice of Constraint Programming. International Conference on Principles and Practice of Constraint Programming, Louvain-la-Neuve, 2020-09-07/2020-09-11. Basel: Springer Nature Switzerland AG, 2020. p. 177-193. LNCS. vol. 12333. ISSN 0302-9743. ISBN 978-3-030-58474-0. DOI 10.1007/978-3-030-58475-7_11.