Genetic Programming Bibliography entries for Mikhail Kamalov

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GP coauthors/coeditors: Aurelie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden, Luca Uggeri,

Genetic Programming PhD doctoral thesis Mikhail Kamalov

• Mikhail Kamalov. Scalable algorithms for graph-based semi-supervised learning with embedding. PhD thesis, Universite Cote d'Azur, France, 2022. details

Genetic Programming conference papers by Mikhail Kamalov

• Mikhail Kamalov and Luca Uggeri and Ingrid Grenet and Jonathan Daeden. SGraphZoe: Explainable self-supervised framework for signal-based anomaly detection. In 2023 24th International Conference on Digital Signal Processing (DSP), 2023. details

• Mikhail Kamalov and Aurelie Boisbunon and Carlo Fanara and Ingrid Grenet and Jonathan Daeden. PaZoe: classifying time series with few labels. In 2021 29th European Signal Processing Conference (EUSIPCO), pages 1561-1565, Dublin, 2021. IEEE. details