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• [8]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993852

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

  PUB | DOI
   
• [7]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992337

  Zanutto, D., et al., 2024. A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning. In The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). Basel Switzerland: MDPI, pp. 60.

  PUB | PDF | DOI
   
• [6]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049

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

  PUB | DOI
   
• [5]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979703

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

  PUB | DOI | WoS
   
• [4]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455

  Liuliakov, A., et al., 2023. One-Class Intrusion Detection with Dynamic Graphs. In L. Iliadis, et al., eds. 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. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 537-549.

  PUB | DOI
   
• [3]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983406

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

  PUB | DOI | Preprint
   
• [2]
  

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

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

  PUB | DOI | WoS
   
• [1]
  

  2021 | Konferenzbeitrag | PUB-ID: 2958664

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

  PUB | arXiv