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• [5]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993740

  V. Vaquet, F. Hinder, J. Vaquet, K. Lammers, L. Quakernack, and B. Hammer, in 2024 International Joint Conference on Neural Networks (IJCNN), Ieee, 2024, p. 1-8.

  PUB | DOI | WoS
   
• [4]
  

  2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2993739

  V. Vaquet, F. Hinder, A. Artelt, I. Ashraf, J. Strotherm, J. Vaquet, J. Brinkrolf, and B. Hammer, in Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX (Eds.: M. Wand, K. Malinovská, J. Schmidhuber, I.V. Tetko), Springer Nature Switzerland, Cham, 2024, p. 155-170.

  PUB | DOI | WoS
   
• [3]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993744

  V. Vaquet, J. Vaquet, F. Hinder, K. Malialis, C. Panayiotou, M. Polycarpou, and B. Hammer, in ESANN 2024 proceesdings, Ciaco - I6Doc.com, Louvain-la-Neuve (Belgium), 2024, p. 431-436.

  PUB | DOI
   
• [2]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992337

  D. Zanutto, C. Michalopoulos, G. - A. Chatzistefanou, L. Vamvakeridou-Lyroudia, L. Tsiami, K. Glynis, P. Samartzis, L. Hermes, F. Hinder, J. Vaquet, et al., in The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), Mdpi, Basel Switzerland, 2024, p. 60.

  PUB | PDF | DOI
   
• [1]
  

  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