PUB - Publikationen an der Universität Bielefeld

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• [17]
  

  2023 | Bielefelder E-Dissertation | PUB-ID: 2968265

  C. Göpfert, Guiding Information: Supervised Models and their Relationship with Data, Universität Bielefeld, Bielefeld, 2023.

  PUB | PDF | DOI
   
• [16]
  

  2022 | Konferenzbeitrag | PUB-ID: 2979000

  B. Paaßen, C. Göpfert, and N. Pinkwart, in Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022) (Eds.: A.I. Cristea, C. Brown, T. Mitrovic, N. Bosch), 2022, p. 555–559.

  PUB | DOI | Download (ext.)
   
• [15]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957385

  N. Risse, C. Göpfert, and J. P. Göpfert, in Artificial Neural Networks and Machine Learning – ICANN 2021. 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part I (Eds.: I. Farkaš, P. Masulli, S. Otte, S. Wermter), Springer International Publishing, Cham, 2021, p. 29-41.

  PUB | DOI
   
• [14]
  

  2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2955115

  M. Straat, F. Abadi, Z. Kan, C. Göpfert, B. Hammer, and M. Biehl, “Supervised learning in the presence of concept drift: a modelling framework”, Neural Computing and Applications, 2021.

  PUB | DOI | WoS
   
• [13]
  

  2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982081

  M. Biehl, F. Abadi, C. Göpfert, and B. Hammer, in Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019 (Eds.: A. Vellido, K. Gibert, C. Angulo, J.D. Martín Guerrero), Springer International Publishing, Cham, 2020, p. 210-221.

  PUB | DOI
   
• [12]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935925

  C. Göpfert, S. Ben-David, O. Bousquet, S. Gelly, I. Tolstikhin, and R. Urner, in Conference on Learning Theory (COLT), 2019.

  PUB | PDF | arXiv
   
• [11]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935456

  L. Pfannschmidt, C. Göpfert, U. Neumann, D. Heider, and B. Hammer, 2019.

  PUB | PDF | DOI | arXiv
   
• [10]
  

  2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715

  J. Brinkrolf, C. Göpfert, and B. Hammer, “Differential privacy for learning vector quantization”, Neurocomputing, 2019, 342, 125-136.

  PUB | PDF | DOI | WoS
   
• [9]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932412

  M. Straat, F. Abadi, C. Göpfert, B. Hammer, and M. Biehl, “Statistical Mechanics of On-Line Learning Under Concept Drift”, ENTROPY, 2018, 20, : 775.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [8]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900

  B. Paaßen, C. Göpfert, and B. Hammer, “Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces”, Neural Processing Letters, 2018, 48, 669-689.

  PUB | DOI | Download (ext.) | WoS | arXiv
   
• [7]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2915273

  C. Göpfert, L. Pfannschmidt, J. P. Göpfert, and B. Hammer, “Interpretation of Linear Classifiers by Means of Feature Relevance Bounds”, Neurocomputing, 2018, 298, 69-79.

  PUB | PDF | DOI | WoS
   
• [6]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908201

  C. Göpfert, L. Pfannschmidt, and B. Hammer, in Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Ed.: M. Verleysen), Ciaco - I6Doc.com, Louvain-la-Neuve, 2017, p. 187--192.

  PUB | Dateien verfügbar | Download (ext.)
   
• [5]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913752

  J. P. Göpfert, C. Göpfert, M. Botsch, and B. Hammer, in 2017 SSCI Proceedings. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Ieee, Piscataway, NJ, 2017.

  PUB | PDF | DOI
   
• [4]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2915274

  C. Göpfert, J. P. Göpfert, and B. Hammer, in Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments, 2017.

  PUB | PDF
   
• [3]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367

  J. Kummert, B. Paaßen, J. Jensen, C. Göpfert, and B. Hammer, in Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II (Eds.: A. E.P. Villa, P. Masulli, A.J. Pons Rivero), Springer Nature, Cham, 2016, p. 251--258.

  PUB | DOI
   
• [2]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676

  B. Paaßen, C. Göpfert, and B. Hammer, in Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Ed.: M. Verleysen), Ciaco - I6Doc.com, Louvain-la-Neuve, 2016, p. 41--46.

  PUB | PDF
   
• [1]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729

  C. Göpfert, B. Paaßen, and B. Hammer, in Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II (Eds.: A. E.P. Villa, P. Masulli, A.J. Pons Rivero), Springer Nature, Cham, 2016, p. 510-517.

  PUB | PDF | DOI