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"DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Michele Alberti et al. (2018)

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DOI: 10.1109/ICFHR-2018.2018.00080

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-24

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  dblp key:
  - conf/icfhr/AlbertiPWIL18
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  persistent URL:
  - https://dblp.org/rec/conf/icfhr/AlbertiPWIL18
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. ICFHR 2018: 423-428

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