@inproceedings{d5408204a0584de9bf83bb50bef01a85,
title = "Reproducible pattern recognition research: The case of optimistic SSL",
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.",
keywords = "Pattern recognition, Reproducibility, Semi-supervised learning",
author = "Krijthe, {Jesse H.} and Marco Loog",
year = "2017",
doi = "10.1007/978-3-319-56414-2_4",
language = "English",
isbn = "978-3-319-56413-5",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "48--59",
editor = "B. Kerautret and M. Colom and P. Monasse",
booktitle = "Reproducible Research in Pattern Recognition",
note = "1st Workshop on Reproducible Research in Pattern Recognition, RRPR 2016 ; Conference date: 04-12-2016 Through 04-12-2016",
}