PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2021 | Bielefelder E-Dissertation | PUB-ID: 2959861

  Pfannschmidt L (2021)
  Relevance learning for redundant features.
  Bielefeld: Universität Bielefeld.

  PUB | PDF | DOI
   
• [6]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939517

  Pfannschmidt L, Jakob J, Hinder F, Biehl M, Tino P, Hammer B (2020)
  Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information.
  Neurocomputing.

  PUB | DOI | Download (ext.) | WoS | arXiv
   
• [5]
  

  2020 | Preprint | Entwurf | PUB-ID: 2942271

  Pfannschmidt L, Hammer B (Draft)
  Sequential Feature Classification in the Context of Redundancies.

  PUB | PDF | arXiv
   
• [4]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933893

  Pfannschmidt L, Jakob J, Biehl M, Tino P, Hammer B (2019)
  Feature Relevance Bounds for Ordinal Regression.
  In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); Louvain-la-Neuve: i6doc.

  PUB | Download (ext.) | arXiv
   
• [3]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935456

  Pfannschmidt L, Göpfert C, Neumann U, Heider D, Hammer B (2019)
  FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration.
  Presented at the 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Certosa di Pontignano, Siena - Tuscany, Italy.

  PUB | PDF | DOI | arXiv
   
• [2]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2915273

  Göpfert C, Pfannschmidt L, Göpfert JP, Hammer B (2018)
  Interpretation of Linear Classifiers by Means of Feature Relevance Bounds.
  Neurocomputing 298: 69-79.

  PUB | PDF | DOI | WoS
   
• [1]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908201

  Göpfert C, Pfannschmidt L, Hammer B (2017)
  Feature Relevance Bounds for Linear Classification.
  In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 187--192.

  PUB | Dateien verfügbar | Download (ext.)