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.

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• [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: Haiqin Yang; Kitsuchart Pasupa; Andrew Chi-Sing Leung; James T. Kwok; Jonathan H. Chan; Irwin King (Hrsg.): Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Cham: Springer International Publishing. (Lecture Notes in Computer Science, 12533). S. 738-749.

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• [4]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094

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

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• [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: Igor V. Tetko; Věra Kůrková; Pavel Karpov; Fabian Theis (Hrsg.): Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. Cham: Springer. (Lecture Notes in Computer Science, 11728). S. 495-506.

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• [2]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939050

  Limberg, C.; Wersing, H.; Ritter, H. (2018): Improving Active Learning by Avoiding Ambiguous Samples. In: Věra Kůrková; Yannis Manolopoulos; Barbara Hammer; Lazaros Iliadis; Ilias Maglogiannis (Hrsg.): Artificial Neural Networks and Machine Learning – ICANN 2018. Cham: Springer. (Lecture Notes in Computer Science, 11139). S. 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. Louvain-la-Neuve: i6doc. (26). S. 171-176.

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