Reproducible pattern recognition research: The case of optimistic SSL

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Abstract

In this paper,we discuss the approacheswe took and trade-offs involved in making a paper on a conceptual topic in pattern recognition research fully reproducible. We discuss our definition of reproducibility, the tools used, how the analysis was set up, show some examples of alternative analyses the code enables and discuss our views on reproducibility.

Original languageEnglish
Title of host publicationReproducible Research in Pattern Recognition
Subtitle of host publication1st International Workshop, RRPR 2016, Revised Selected Papers
EditorsB. Kerautret, M. Colom, P. Monasse
Place of PublicationCham
PublisherSpringer
Pages48-59
Number of pages12
ISBN (Electronic)978-3-319-56414-2
ISBN (Print)978-3-319-56413-5
DOIs
Publication statusPublished - 2017
Event1st Workshop on Reproducible Research in Pattern Recognition, RRPR 2016 - Cancun, Mexico
Duration: 4 Dec 20164 Dec 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Volume10214
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st Workshop on Reproducible Research in Pattern Recognition, RRPR 2016
CountryMexico
CityCancun
Period4/12/164/12/16

Keywords

  • Pattern recognition
  • Reproducibility
  • Semi-supervised learning

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  • Cite this

    Krijthe, J. H., & Loog, M. (2017). Reproducible pattern recognition research: The case of optimistic SSL. In B. Kerautret, M. Colom, & P. Monasse (Eds.), Reproducible Research in Pattern Recognition: 1st International Workshop, RRPR 2016, Revised Selected Papers (pp. 48-59). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10214 ). Springer. https://doi.org/10.1007/978-3-319-56414-2_4