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• [8]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993852

  Liuliakov, A., Schulz, A., Hermes, L., & Hammer, B. (2024). Noise Robust One-Class Intrusion Detection on Dynamic Graphs. ESANN 2024 proceedings, 363-368. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com. https://doi.org/10.14428/esann/2024.ES2024-124

  PUB | DOI
   
• [7]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2992337

  Zanutto, D., Michalopoulos, C., Chatzistefanou, G. - A., Vamvakeridou-Lyroudia, L., Tsiami, L., Glynis, K., Samartzis, P., et al. (2024). 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), 60. Basel Switzerland: MDPI. https://doi.org/10.3390/engproc2024069060

  PUB | PDF | DOI
   
• [6]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984049

  Ashraf, M. I., Hermes, L., Artelt, A., & Hammer, B. (2023). Spatial Graph Convolution Neural Networks for Water Distribution Systems. In B. Crémilleux, S. Hess, & S. Nijssen (Eds.), Lecture Notes in Computer Science. Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings (pp. 29-41). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-30047-9_3

  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. https://doi.org/10.1016/j.asoc.2022.109942

  PUB | DOI | WoS
   
• [4]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455

  Liuliakov, A., Schulz, A., Hermes, L., & Hammer, B. (2023). One-Class Intrusion Detection with Dynamic Graphs. In L. Iliadis, A. Papaleonidas, P. Angelov, & C. Jayne (Eds.), Lecture Notes in Computer Science. 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 (pp. 537-549). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-44216-2_44

  PUB | DOI
   
• [3]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983406

  Stahlhofen, P., Artelt, A., Hermes, L., & Hammer, B. (2023). Adversarial Attacks on Leakage Detectors in Water Distribution Networks. In I. Rojas, G. Joya, & A. Catala (Eds.), Lecture Notes in Computer Science. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II (pp. 451-463). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43078-7_37

  PUB | DOI | Preprint
   
• [2]
  

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

  Neun, M., Eichenberger, C., Xin, Y., Fu, C., Wiedemann, N., Martin, H., Tomko, M., et al. (2023). Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. IEEE Transactions on Intelligent Transportation Systems . https://doi.org/10.1109/TITS.2023.3291737

  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. ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. , 111-116.

  PUB | arXiv