Stochastic Pattern Generation

Stochastic Pattern Generation is a pattern generation method that belongs to the class of generative techniques relying on probabilistic models, distinguished by its use of randomness and statistical distributions to produce variable, non-deterministic output patterns.

47

Publications

2.7K

Citations

130

Authors

69

Institutions

Publications per year

2017–2026

10

Authors

130

  1. MB
    Marius Bulacu

    University of Groningen, Netherlands

    4 publications · 844 citations

    4

    h-index

  2. LS
    Lambert Schomaker

    University of Groningen, Netherlands

    3 publications · 810 citations

    3

    h-index

  3. LR
    Lev Ryashko

    Ural Federal University, Russia

    2 publications · 23 citations

    2

    h-index

  4. AF
    Andrew Faulkner

    University College London, United Kingdom

    2 publications · 164 citations

    2

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  5. MT
    Michel Treisman

    University of Oxford, United Kingdom

    2 publications · 164 citations

    2

    h-index

1–5 of 130

Venues

  1. Journal of Hydrology

    4 publications · 171 citations

    4

    h-index

  2. Journal of Experimental Psychology General

    2 publications · 164 citations

    2

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. The Annals of Applied Probability

    1 publications · 53 citations

    1

    h-index

1–5