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  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993852

  Liuliakov, A.; Schulz, A.; Hermes, L.; Hammer, B. (2024): Noise Robust One-Class Intrusion Detection on Dynamic Graphs. In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com. S. 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.; Schulz, A.; Hermes, L.; Hammer, B. (2023): One-Class Intrusion Detection with Dynamic Graphs. In: Lazaros Iliadis; Antonios Papaleonidas; Plamen Angelov; Chrisina Jayne (Hrsg.): 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. Cham: Springer Nature Switzerland. (Lecture Notes in Computer Science, ). S. 537-549.

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• [1]
  

  2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982165

  Liuliakov, A.; Hammer, B. (2021): AutoML Technologies for the Identification of Sparse Models. In: Hujun Yin; David Camacho; Peter Tino; Richard Allmendinger; Antonio J. Tallón-Ballesteros; Ke Tang; Sung-Bae Cho; Paulo Novais; Susana Nascimento (Hrsg.): Intelligent Data Engineering and Automated Learning – IDEAL 2021. 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings. Cham: Springer . (Lecture Notes in Computer Science, 13113). S. 65-75.

  PUB | DOI