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• [5]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993740

  Vaquet, V., Hinder, F., Vaquet, J., Lammers, K., Quakernack, L., Hammer, B.: Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations. 2024 International Joint Conference on Neural Networks (IJCNN). p. 1-8. IEEE (2024).

  PUB | DOI | WoS
   
• [4]
  

  2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2993739

  Vaquet, V., Hinder, F., Artelt, A., Ashraf, I., Strotherm, J., Vaquet, J., Brinkrolf, J., Hammer, B.: Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks. In: Wand, M., Malinovská, K., Schmidhuber, J., and Tetko, I.V. (eds.) Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science. p. 155-170. Springer Nature Switzerland, Cham (2024).

  PUB | DOI | WoS
   
• [3]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993744

  Vaquet, V., Vaquet, J., Hinder, F., Malialis, K., Panayiotou, C., Polycarpou, M., Hammer, B.: Self-Supervised Learning from Incrementally Drifting Data Streams. ESANN 2024 proceesdings. p. 431-436. Ciaco - i6doc.com, Louvain-la-Neuve (Belgium) (2024).

  PUB | DOI
   
• [2]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992337

  Zanutto, D., Michalopoulos, C., Chatzistefanou, G.-A., Vamvakeridou-Lyroudia, L., Tsiami, L., Glynis, K., Samartzis, P., Hermes, L., Hinder, F., Vaquet, J., Vaquet, V., Eliades, D., Polycarpou, M., Koundouri, P., Hammer, B., Savić, D.: A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning. The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). p. 60. MDPI, Basel Switzerland (2024).

  PUB | PDF | DOI
   
• [1]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687

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

  PUB | DOI