SoftId: An autoencoder-based one-class classification model for software authorship identification

Mihaiela Lupea, Anamaria Briciu, István Gergely Czibula, Gabriela Czibula. SoftId: An autoencoder-based one-class classification model for software authorship identification. In Matteo Cristani, Carlos Toro 0001, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, Verona, Italy and Virtual Event, 7-9 September 2022. Volume 207 of Procedia Computer Science, pages 716-725, Elsevier, 2022. [doi]

Abstract

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