PUB - Publikationen an der Universität Bielefeld

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• [21]
  

  2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2988509

  F. Hinder, V. Vaquet, and B. Hammer, in Advances in Intelligent Data Analysis XXII. 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I (Eds.: I. Miliou, N. Piatkowski, P. Papapetrou), Springer Nature Switzerland, Cham, 2024, p. 77-89.

  PUB | DOI
   
• [20]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572

  S. Schroeder, A. Schulz, F. Hinder, and B. Hammer, in Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1, Scitepress - Science And Technology Publications, Setúbal, Portugal, 2024, p. 160-168.

  PUB | DOI
   
• [19]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981289

  F. Hinder, V. Vaquet, J. Brinkrolf, and B. Hammer, “Model-based explanations of concept drift”, Neurocomputing, 2023, : 126640.

  PUB | DOI | Download (ext.) | WoS
   
• [18]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982830

  F. Hinder, and B. Hammer, in ESANN 2023 Proceedings (Ed.: M. Verleysen), 2023.

  PUB
   
• [17]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982167

  F. Hinder, V. Vaquet, J. Brinkrolf, and B. Hammer, in Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods ICPRAM. Vol. 1 (Eds.: M. De Marsico, G. Sanniti di Baja, A. Fred), Scitepress - Science And Technology Publications, Setúbal, 2023, p. 164-175.

  PUB | DOI
   
• [16]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2977934

  F. Hinder, V. Vaquet, J. Brinkrolf, and B. Hammer, in Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings (Eds.: B. Crémilleux, S. Hess, S. Nijssen), Springer , Cham, 2023, p. 182-194.

  PUB | DOI
   
• [15]
  

  2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962746

  A. Artelt, F. Hinder, V. Vaquet, R. Feldhans, and B. Hammer, “Contrasting Explanations for Understanding and Regularizing Model Adaptations”, Neural Processing Letters, 2022, 55, 5273–5297.

  PUB | PDF | DOI | Download (ext.) | WoS
   
• [14]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984050

  F. Hinder, V. Vaquet, and B. Hammer, in Advances in Intelligent Data Analysis XX. 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings (Eds.: T. Bouadi, E. Fromont, E. Hüllermeier), Springer International Publishing, Cham, 2022, p. 157-170.

  PUB | DOI
   
• [13]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088

  F. Hinder, V. Vaquet, J. Brinkrolf, A. Artelt, and B. Hammer, in 2022 International Joint Conference on Neural Networks (IJCNN), Ieee, 2022, p. 1-9.

  PUB | DOI | Download (ext.)
   
• [12]
  

  2022 | Konferenzbeitrag | Angenommen | PUB-ID: 2964534

  V. Vaquet, F. Hinder, J. Brinkrolf, P. Menz, U. Seiffert, and B. Hammer, Accepted.

  PUB
   
• [11]
  

  2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861

  F. Hinder, V. Vaquet, J. Brinkrolf, A. Artelt, and B. Hammer, 2022.

  PUB
   
• [10]
  

  2021 | Konferenzbeitrag | PUB-ID: 2959428

  F. Hinder, V. Vaquet, J. Brinkrolf, and B. Hammer, “Fast Non-Parametric Conditional Density Estimation using Moment Trees”, IEEE Computational Intelligence Magazine, 2021.

  PUB
   
• [9]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687

  V. Vaquet, F. Hinder, J. Vaquet, J. Brinkrolf, and B. Hammer, “Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings”, IEEE Symposium Series on Computational Intelligence, 2021, 1-7.

  PUB | DOI
   
• [8]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960754

  F. Hinder, J. Brinkrolf, V. Vaquet, and B. Hammer, in 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings, Ieee, Piscataway, NJ, 2021, p. 01-08.

  PUB | DOI
   
• [7]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960755

  F. Hinder, V. Vaquet, J. Brinkrolf, and B. Hammer, in 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings, Ieee, Piscataway, NJ, 2021, p. 1-7.

  PUB | DOI
   
• [6]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373

  A. Artelt, F. Hinder, V. Vaquet, R. Feldhans, and B. Hammer, in Advances in Computational Intelligence. 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I (Eds.: I. Rojas, G. Joya, A. Catala), Springer , Cham, 2021, p. 101-112.

  PUB | DOI
   
• [5]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747

  A. Artelt, V. Vaquet, R. Velioglu, F. Hinder, J. Brinkrolf, M. Schilling, and B. Hammer, in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Ieee, Piscataway, NJ, 2021, p. 01-09.

  PUB | DOI
   
• [4]
  

  2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2956774

  F. Hinder, and B. Hammer, in Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Ed.: M. Verleysen), Accepted.

  PUB
   
• [3]
  

  2020 | Konferenzbeitrag | PUB-ID: 2943260

  A. Schulz, F. Hinder, and B. Hammer, in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}, 2020.

  PUB | DOI | Download (ext.) | arXiv
   
• [2]
  

  2020 | Konferenzbeitrag | PUB-ID: 2946488

  F. Hinder, A. Artelt, and B. Hammer, in Proceedings of the 37th International Conference on Machine Learning, 2020.

  PUB | Download (ext.)
   
• [1]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939517

  L. Pfannschmidt, J. Jakob, F. Hinder, M. Biehl, P. Tino, and B. Hammer, “Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information”, Neurocomputing, 2020.

  PUB | DOI | Download (ext.) | WoS | arXiv