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Une nouvelle approche pour la détection d'anomalies dans les flux de graphes hétérogènes.

, , , and . EGC, volume E-35 of RNTI, page 93-104. Éditions RNTI, (2019)

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Détection d'anomalies dans les flux de graphes et attaques d'empoisonnement., , , , and . EGC, volume E-38 of RNTI, page 273-280. Editions RNTI, (2022)A maximum diversity-based path sparsification for geometric graph matching., , and . Pattern Recognit. Lett., (2021)Vers un noyau de graphes efficace basé sur l'entropie., , and . EGC, volume E-39 of RNTI, page 655-656. Editions RNTI, (2023)A Novel Multi-Objective Immune Memetic Algorithm for the Frequency Assignment Problem., , , and . KES, volume 159 of Procedia Computer Science, page 67-76. Elsevier, (2019)An effective multi-objective hybrid immune algorithm for the frequency assignment problem., , , and . Appl. Soft Comput., (2019)A simple graph embedding for anomaly detection in a stream of heterogeneous labeled graphs., , , and . Pattern Recognit., (2021)A Neighborhood-preserving Graph Summarization., , , and . CoRR, (2021)An efficient hybrid multi-objective memetic algorithm for the frequency assignment problem., , , and . Eng. Appl. Artif. Intell., (2020)Une nouvelle approche pour la détection d'anomalies dans les flux de graphes hétérogènes., , , and . EGC, volume E-35 of RNTI, page 93-104. Éditions RNTI, (2019)An Efficient Entropy-Based Graph Kernel., , and . GbRPR, volume 14121 of Lecture Notes in Computer Science, page 46-56. Springer, (2023)