7 Publikationen

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  • [7]
    2022 | Bielefelder E-Dissertation | PUB-ID: 2962486 OA
    Limberg, C.: Competence Modeling for Human-Robot Cooperation. Universität Bielefeld, Bielefeld (2022).
    PUB | PDF | DOI
     
  • [6]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950092
    Limberg, C., Wersing, H., Ritter, H.: Beyond Cross-Validation—Accuracy Estimation for Incremental and Active Learning Models. Machine Learning and Knowledge Extraction. 2, 327-346 (2020).
    PUB | DOI | WoS
     
  • [5]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950093
    Limberg, C., Wersing, H., Ritter, H.: Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. In: Yang, H., Pasupa, K., Leung, A.C.-S., Kwok, J.T., Chan, J.H., and King, I. (eds.) Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Lecture Notes in Computer Science. 12533, p. 738-749. Springer International Publishing, Cham (2020).
    PUB | DOI
     
  • [4]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094
    Limberg, C., Göpfert, J.P., Wersing, H., Ritter, H.: Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. In: Farkaš, I., Masulli, P., and Wermter, S. (eds.) Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Lecture Notes in Computer Science. 12397, p. 204-213. Springer International Publishing, Cham (2020).
    PUB | DOI
     
  • [3]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939051 OA
    Limberg, C., Krieger, K., Wersing, H., Ritter, H.: Active Learning for Image Recognition Using a Visualization-Based User Interface. In: Tetko, I.V., Kůrková, V., Karpov, P., and Theis, F. (eds.) Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. Lecture Notes in Computer Science. 11728, p. 495-506. Springer, Cham (2019).
    PUB | PDF | DOI
     
  • [2]
    2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939050
    Limberg, C., Wersing, H., Ritter, H.: Improving Active Learning by Avoiding Ambiguous Samples. In: Kůrková, V., Manolopoulos, Y., Hammer, B., Iliadis, L., and Maglogiannis, I. (eds.) Artificial Neural Networks and Machine Learning – ICANN 2018. Lecture Notes in Computer Science. 11139, p. 518-527. Springer, Cham (2018).
    PUB | DOI
     
  • [1]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920497
    Limberg, C., Wersing, H., Ritter, H.: Efficient Accuracy Estimation for Instance-Based Incremental Active Learning. ESANN 2018. Proceedings. 26, p. 171-176. i6doc, Louvain-la-Neuve (2018).
    PUB
     

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