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• [4]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993852

  Liuliakov A, Schulz A, Hermes L, Hammer B. Noise Robust One-Class Intrusion Detection on Dynamic Graphs. In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com; 2024: 363-368.

  PUB | DOI
   
• [3]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2979703

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

  PUB | DOI | WoS
   
• [2]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983455

  Liuliakov A, Schulz A, Hermes L, Hammer B. One-Class Intrusion Detection with Dynamic Graphs. In: Iliadis L, Papaleonidas A, Angelov P, Jayne C, 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; 2023: 537-549.

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• [1]
  

  2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982165

  Liuliakov A, Hammer B. AutoML Technologies for the Identification of Sparse Models. In: Yin H, Camacho D, Tino P, 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. Vol 13113. Cham: Springer ; 2021: 65-75.

  PUB | DOI