PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2022 | Bielefelder E-Dissertation | PUB-ID: 2962486

  Limberg C (2022)
  Competence Modeling for Human-Robot Cooperation.
  Bielefeld: Universität Bielefeld.

  PUB | PDF | DOI
   
• [6]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950092

  Limberg C, Wersing H, Ritter H (2020)
  Beyond Cross-Validation—Accuracy Estimation for Incremental and Active Learning Models.
  Machine Learning and Knowledge Extraction 2(3): 327-346.

  PUB | DOI | WoS
   
• [5]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950093

  Limberg C, Wersing H, Ritter H (2020)
  Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot.
  In: Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Yang H, Pasupa K, Leung AC-S, Kwok JT, Chan JH, King I (Eds); Lecture Notes in Computer Science, 12533. Cham: Springer International Publishing: 738-749.

  PUB | DOI
   
• [4]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094

  Limberg C, Göpfert JP, Wersing H, Ritter H (2020)
  Prototype-Based Online Learning on Homogeneously Labeled Streaming Data.
  In: Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Farkaš I, Masulli P, Wermter S (Eds); Lecture Notes in Computer Science, 12397. Cham: Springer International Publishing: 204-213.

  PUB | DOI
   
• [3]
  

  2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939051

  Limberg C, Krieger K, Wersing H, Ritter H (2019)
  Active Learning for Image Recognition Using a Visualization-Based User Interface.
  In: Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. Tetko IV, Kůrková V, Karpov P, Theis F (Eds); Lecture Notes in Computer Science, 11728. Cham: Springer: 495-506.

  PUB | PDF | DOI
   
• [2]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939050

  Limberg C, Wersing H, Ritter H (2018)
  Improving Active Learning by Avoiding Ambiguous Samples.
  In: Artificial Neural Networks and Machine Learning – ICANN 2018. Kůrková V, Manolopoulos Y, Hammer B, Iliadis L, Maglogiannis I (Eds); Lecture Notes in Computer Science, 11139. Cham: Springer: 518-527.

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• [1]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920497

  Limberg C, Wersing H, Ritter H (2018)
  Efficient Accuracy Estimation for Instance-Based Incremental Active Learning.
  In: ESANN 2018. Proceedings. 26. Louvain-la-Neuve: i6doc: 171-176.

  PUB