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• [4]
  

  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
   
• [3]
  

  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
   
• [2]
  

  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
   
• [1]
  

  2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982165

  A. Liuliakov and B. Hammer, “AutoML Technologies for the Identification of Sparse Models”, Intelligent Data Engineering and Automated Learning – IDEAL 2021. 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings, H. Yin, et al., eds., Lecture Notes in Computer Science, vol. 13113, Cham: Springer , 2021, pp.65-75.

  PUB | DOI