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Homepage

Přihlášení

Přihlaste se účtem své organizace prostřednictvím eduID.

english česky
  • Publications
  • Institute
    • About us
    • Organigram
    • Management
    • Advisory Board
    • Annual reports and budgets
    • Information by 106/1999 Coll.
    • Whistleblowing
    • Exhibition of comp. technology
    • Privacy Policy
  • Research
    • Projects
    • Research subject
    • Awards
    • Best Publication Competition
    • Popularization
  • News
  • Applications
    • Transfer department
    • Applied Informatics
    • Competencies
    • References
  • Events
  • Library
    • About Library
    • Scientific Sources
    • Publications
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    • Job Offers
    • Topics for PhD studies
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  1. Home /
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  4. Year 2020

Year 2020

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  • Popularization

The Best Institute Publications in 2020

Competition - Awarded Publications

Evaluation Committee Members

  • prof. RNDr. Jaromír Antoch, CSc.
  • prof. Mgr. Michal Koucký, Ph.D.
  • prof. Ing. Zuzana Masáková, Ph.D.
  • doc. RNDr. Iveta Mrázová, CSc.
  • prof. Ing. Mirko Navara, DrSc.
  • doc. RNDr. Petr Pišoft, Ph.D.
  • prof. Ing. Pavel Tvrdík, CSc.

A. PROFESSIONAL MONOGRAPH:

  • Meurant, G., Jurjen Duintjer Tebbens. Krylov Methods for Nonsymmetric Linear Systems - From Theory to Computations.
  • Martin Holeňa, Pulc, P., Kopp, M. Classification Methods for Internet Applications.

B. PROFESSIONAL ARTICLE:

  • Kučera, P., Petr Savický. Bounds on the Size of PC and URC.
  • Aranda, A., David Hartman. The independence number of HH-homogeneous graphs and a classification of MB-homogeneous graphs.
  • Bose, P., Cano, P., Maria Saumell Mendiola, Silveira, R.I. Hamiltonicity for Convex Shape Delaunay and Gabriel Graphs.

Evaluated Publications

  • Górecki, J., Hofert, M., Holeňa, Martin. Hierarchical Archimedean Copulas for Matlab and Octave: The HACopula Toolbox. In Journal of Statistical Software, volume 93, issue č. 10, pages 1-36 , 2020, ISSN 1548-7660. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
  • Meurant, G., Duintjer Tebbens, Jurjen. Krylov Methods for Nonsymmetric Linear Systems - From Theory to Computations. Springer, 2020 [DOI] [ASEP]
  • Holeňa, Martin, Pulc, P., Kopp, M.. Classification Methods for Internet Applications. Cham, 2020 [DOI] [ASEP]
  • Bose, P., Cano, P., Saumell, Maria, Silveira, R.I.. Hamiltonicity for Convex Shape Delaunay and Gabriel Graphs. In Computational Geometry-Theory and Applications, volume 89, issue August 2020 , 2020, ISSN 0925-7721. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
  • Kalina, Jan, Matonoha, Ctirad. A Sparse Pair-preserving Centroid-based Supervised Learning Method for High-dimensional Biomedical Data or Images. In Biocybernetics and Biomedical Engineering, volume 40, issue č. 2, pages 774-786 , 2020, ISSN 0208-5216. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
  • Kainen, P.C., Kůrková, Věra, Vogt, A.. Approximative Compactness of Linear Combinations of Characteristic Functions. In Journal of Approximation Theory, volume 257, issue September 2020 , 2020, ISSN 0021-9045. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
  • Šíma, Jiří. Analog Neuron Hierarchy. In Neural Networks, volume 128, issue August 2020, pages 199-215 , 2020, ISSN 0893-6080. [FULLTEXT] [WOS] [SCOPUS] [PUBMED] [DOI] [ASEP]
  • Kučera, P., Savický, Petr. Bounds on the Size of PC and URC Formulas. In Journal of Artificial Intelligence Research, volume 69, issue 24 December, pages 1395-1420 , 2020, ISSN 1076-9757. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
  • Šanda, Pavel, Malerba, P., Jiang, X., Krishnan, G. P., Gonzales-Martinez, J., Halgren, E., Bazhenov, M.. Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep. In Cerebral Cortex, volume 31, issue č. 1, pages 324-340 , 2021, ISSN 1047-3211. [FULLTEXT] [PUBMED] [WOS] [DOI] [ASEP]
  • Aranda, A., Hartman, David. The independence number of HH-homogeneous graphs and a classification of MB-homogeneous graphs. In European Journal of Combinatorics, volume 85, issue March 2020 , 2020, ISSN 0195-6698. [FULLTEXT] [SCOPUS] [WOS] [DOI] [ASEP]
  • Kořenek, Jakub, Hlinka, Jaroslav. Causal network discovery by iterative conditioning: Comparison of algorithms. In Chaos, volume 30, issue č. 1 , 2020, ISSN 1054-1500. [FULLTEXT] [SCOPUS] [PUBMED] [WOS] [DOI] [ASEP]