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• [8]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993852

  A. Liuliakov, et al., “Noise Robust One-Class Intrusion Detection on Dynamic Graphs”, ESANN 2024 proceedings, Louvain-la-Neuve (Belgium): Ciaco - i6doc.com, 2024, pp.363-368.

  PUB | DOI
   
• [7]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992337

  D. Zanutto, et al., “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), Basel Switzerland: MDPI, 2024, pp.60.

  PUB | PDF | DOI
   
• [6]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049

  M.I. Ashraf, et al., “Spatial Graph Convolution Neural Networks for Water Distribution Systems”, Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings, B. Crémilleux, S. Hess, and S. Nijssen, eds., Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023, pp.29-41.

  PUB | DOI
   
• [5]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979703

  A. Liuliakov, L. Hermes, and B. Hammer, “AutoML technologies for the identification of sparse classification and outlier detection models”, Applied Soft Computing, vol. 133, 2023, : 109942.

  PUB | DOI | WoS
   
• [4]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455

  A. Liuliakov, et al., “One-Class Intrusion Detection with Dynamic Graphs”, Artificial Neural Networks and Machine Learning – ICANN 2023. 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part IV, L. Iliadis, et al., eds., Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023, pp.537-549.

  PUB | DOI
   
• [3]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983406

  P. Stahlhofen, et al., “Adversarial Attacks on Leakage Detectors in Water Distribution Networks”, Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II, I. Rojas, G. Joya, and A. Catala, eds., Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023, pp.451-463.

  PUB | DOI | Preprint
   
• [2]
  

  2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2981972

  M. Neun, et al., “Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities”, IEEE Transactions on Intelligent Transportation Systems , 2023.

  PUB | DOI | WoS
   
• [1]
  

  2021 | Konferenzbeitrag | PUB-ID: 2958664

  L. Hermes, B. Hammer, and M. Schilling, “Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting”, ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. , 2021, pp.111-116.

  PUB | arXiv