PUB - Publikationen an der Universität Bielefeld

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• [7]
  

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

  Limberg, Christian. 2022. Competence Modeling for Human-Robot Cooperation. Bielefeld: Universität Bielefeld.

  PUB | PDF | DOI
   
• [6]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950092

  Limberg, Christian, Wersing, Heiko, and Ritter, Helge. 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, Christian, Wersing, Heiko, and Ritter, Helge. 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, ed. Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, and Irwin King, 12533:738-749. Lecture Notes in Computer Science. Cham: Springer International Publishing.

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• [4]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094

  Limberg, Christian, Göpfert, Jan Philip, Wersing, Heiko, and Ritter, Helge. 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, ed. Igor Farkaš, Paolo Masulli, and Stefan Wermter, 12397:204-213. Lecture Notes in Computer Science. Cham: Springer International Publishing.

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• [3]
  

  2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939051

  Limberg, Christian, Krieger, Kathrin, Wersing, Heiko, and Ritter, Helge. 2019. “Active Learning for Image Recognition Using a Visualization-Based User Interface”. In Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning, ed. Igor V. Tetko, Věra Kůrková, Pavel Karpov, and Fabian Theis, 11728:495-506. Lecture Notes in Computer Science. Cham: Springer.

  PUB | PDF | DOI
   
• [2]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939050

  Limberg, Christian, Wersing, Heiko, and Ritter, Helge. 2018. “Improving Active Learning by Avoiding Ambiguous Samples”. In Artificial Neural Networks and Machine Learning – ICANN 2018, ed. Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, and Ilias Maglogiannis, 11139:518-527. Lecture Notes in Computer Science. Cham: Springer.

  PUB | DOI
   
• [1]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920497

  Limberg, Christian, Wersing, Heiko, and Ritter, Helge. 2018. “Efficient Accuracy Estimation for Instance-Based Incremental Active Learning”. In ESANN 2018. Proceedings, 26:171-176. Louvain-la-Neuve: i6doc.

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