PUB - Publikationen an der Universität Bielefeld

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• [11]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982084

  Losing, V., Yoshikawa, T., Hasenjaeger, M., Hammer, B., Wersing, H.: Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. 2019 International Conference on Robotics and Automation (ICRA). p. 9530-9536. IEEE (2019).

  PUB | DOI
   
• [10]
  

  2019 | Bielefelder E-Dissertation | PUB-ID: 2936581

  Losing, V.: Memory Models for Incremental Learning Architectures. Universität Bielefeld, Bielefeld (2019).

  PUB | PDF | DOI
   
• [9]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982088

  Losing, V., Wersing, H., Hammer, B.: Enhancing Very Fast Decision Trees with Local Split-Time Predictions. 2018 IEEE International Conference on Data Mining (ICDM). p. 287-296. IEEE (2018).

  PUB | DOI
   
• [8]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2917201

  Losing, V., Hammer, B., Wersing, H.: Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). KNOWLEDGE AND INFORMATION SYSTEMS. 54, 171-201 (2018).

  PUB | DOI | WoS
   
• [7]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2914730

  Losing, V., Hammer, B., Wersing, H.: Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing. 275, 1261-1274 (2018).

  PUB | PDF | DOI | WoS
   
• [6]
  

  2017 | Konferenzbeitrag | PUB-ID: 2914734

  Losing, V., Hammer, B., Wersing, H.: Self-Adjusting Memory: How to Deal with Diverse Drift Types. Presented at the International Joint Conference on Artificial Intelligence (IJCAI) 2017, Melbourne (2017).

  PUB | PDF | DOI
   
• [5]
  

  2017 | Konferenzbeitrag | PUB-ID: 2914732

  Losing, V., Hammer, B., Wersing, H.: Personalized Maneuver Prediction at Intersections. Presented at the IEEE Intelligent Transportation Systems Conference 2017, Yokohama (2017).

  PUB | PDF
   
• [4]
  

  2016 | Konferenzbeitrag | PUB-ID: 2907624

  Losing, V., Hammer, B., Wersing, H.: Choosing the Best Algorithm for an Incremental On-line Learning Task. Presented at the European Symposium on Artificial Neural Networks, Brügge (2016).

  PUB | PDF
   
• [3]
  

  2016 | Konferenzbeitrag | PUB-ID: 2908455

  Losing, V., Hammer, B., Wersing, H.: Dedicated Memory Models for Continual Learning in the Presence of Concept Drift. Presented at the Continual Learning Workshop of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona (2016).

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• [2]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907622

  Losing, V., Hammer, B., Wersing, H.: KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. 2016 IEEE 16th International Conference on Data Mining (ICDM). p. 291-300. IEEE, Piscataway, NJ (2016).

  PUB | PDF | DOI
   
• [1]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2776021

  Losing, V., Hammer, B., Wersing, H.: Interactive Online Learning for Obstacle Classification on a Mobile Robot. Presented at the International Joint Conference on Neural Networks, Killarney, Ireland (2015).

  PUB | PDF | DOI