PUB - Publikationen an der Universität Bielefeld

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• [8]
  

  2024 | Bielefelder E-Dissertation | PUB-ID: 2990589

  Jakob, Jonathan. Incremental Learning in Regression Contexts. Bielefeld: Universität Bielefeld, 2024.

  PUB | PDF
   
• [7]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979026

  Jakob, Jonathan, Artelt, André, Hasenjäger, Martina, and Hammer, Barbara. “Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams”. Applied Artificial Intelligence 37.1 (2023): 2198846.

  PUB | DOI | WoS
   
• [6]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982135

  Jakob, Jonathan, Hasenjäger, Martina, and Hammer, Barbara. “Reject Options for Incremental Regression Scenarios”. Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV. Ed. Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, and Mehmet Aydin. Cham: Springer Nature Switzerland, 2022. Lecture Notes in Computer Science. 248-259.

  PUB | DOI
   
• [5]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2969459

  Jakob, Jonathan, Artelt, André, Hasenjäger, Martina, and Hammer, Barbara. “SAM-kNN Regressor for Online Learning in Water Distribution Networks”. Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part III. Ed. Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, and Mehmet Aydin. Cham: Springer Nature , 2022.Vol. 13531. Lecture Notes in Computer Science. 752-762.

  PUB | DOI
   
• [4]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982136

  Jakob, Jonathan, Hasenjäger, Martina, and Hammer, Barbara. “On the suitability of incremental learning for regression tasks in exoskeleton control”. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2021. 1-8.

  PUB | DOI
   
• [3]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939517

  Pfannschmidt, Lukas, Jakob, Jonathan, Hinder, Fabian, Biehl, Michael, Tino, Peter, and Hammer, Barbara. “Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information”. Neurocomputing (2020).

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

  2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2935044

  Artelt, André, Jakob, Jonathan, and Vaquet, Valerie. “Continuous online user authentication based on keystroke dynamics”. Presented at the Interdisciplinary College (IK), Günne/Möhnesee, Germany, 2019.

  PUB | Dateien verfügbar
   
• [1]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933893

  Pfannschmidt, Lukas, Jakob, Jonathan, Biehl, Michael, Tino, Peter, and Hammer, Barbara. “Feature Relevance Bounds for Ordinal Regression”. Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Ed. Michel Verleysen. Louvain-la-Neuve: i6doc, 2019.

  PUB | Download (ext.) | arXiv