SupervisedVectorQuantizationOCC/CITATION.cff at main · danielstaps/SupervisedVectorQuantizationOCC · GitHub

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cff-version: 1.2.0
message: "If you use this software, please cite the paper below."
title: "prototorch_oneclass (SVQ-OCC): supervised vector quantization one-class classifier"
abstract: >-
  Prototype-based one-class classifier for outlier/novelty detection using local representations,
  built on prototorch and optimized by stochastic gradient descent.
type: software
doi: "10.5281/zenodo.21573234"
authors:
  - family-names: Staps
    given-names: Daniel
    orcid: "https://orcid.org/0009-0002-4459-4544"
  - family-names: Villmann
    given-names: Thomas
    orcid: "https://orcid.org/0000-0001-6725-0141"
repository-code: "https://github.com/danielstaps/SupervisedVectorQuantizationOCC"
license: MIT
year: 2022
keywords:
  - one-class classification
  - outlier detection
  - learning vector quantization
  - prototype-based models
  - interpretability
preferred-citation:
  type: conference-paper
  title: "Prototype-based one-class-classification learning using local representations"
  authors:
    - family-names: Staps
      given-names: Daniel
      orcid: "https://orcid.org/0009-0002-4459-4544"
    - family-names: Schubert
      given-names: Ronny
    - family-names: Kaden
      given-names: Marika
    - family-names: Lampe
      given-names: Alexander
    - family-names: Hermann
      given-names: Wieland
    - family-names: Villmann
      given-names: Thomas
      orcid: "https://orcid.org/0000-0001-6725-0141"
  collection-title: "2022 International Joint Conference on Neural Networks (IJCNN)"
  publisher:
    name: IEEE
  year: 2022
  start: 1
  end: 8
  doi: "10.1109/IJCNN55064.2022.9892912"