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• [4]
  

  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
   
• [3]
  

  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
   
• [2]
  

  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
   
• [1]
  

  2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982165

  Liuliakov, A., & Hammer, B., 2021. AutoML Technologies for the Identification of Sparse Models. In H. Yin, et al., eds. Intelligent Data Engineering and Automated Learning – IDEAL 2021. 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings. Lecture Notes in Computer Science. no.13113 Cham: Springer , pp. 65-75.

  PUB | DOI