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Evaluating an outlier generation method for training tree-based Genetic Programming applied to one-class classification.

, and . NaBIC, page 395-400. IEEE, (2011)

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Novelty detection with application to data streams.. University of São Paulo, Brazil, (2008)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-02042008-112027).Using PMI to Rank and Filter Edges in Graphs of Words., and . ICAISC (2), volume 12855 of Lecture Notes in Computer Science, page 91-100. Springer, (2021)A Sequential Recommender System with Embeddings Based on GraphSage Aggregators., and . BRACIS (2), volume 13654 of Lecture Notes in Computer Science, page 1-15. Springer, (2022)Customizable Mapping of Virtualized Network Services in Multi-datacenter Environments Based on Genetic Metaheuristics., , , , and . J. Netw. Syst. Manag., 31 (4): 71 (October 2023)Mapeamento Customizado de Serviços de Rede em Múltiplos Domínios Baseado em Heurísticas Genéticas., , , and . SBRC, page 491-504. (2020)Evaluating an outlier generation method for training tree-based Genetic Programming applied to one-class classification., and . NaBIC, page 395-400. IEEE, (2011)Knowledge Discovery from Data Streams., , , and . Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web, volume 27 of NATO Science for Peace and Security Series - D: Information and Communication Security, IOS Press, (2010)Outlier Detection on Semantic Space for Sentiment Analysis With Convolutional Neural Networks., and . IJCNN, page 1-8. IEEE, (2018)Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks., , and . SAC, page 976-980. ACM, (2008)OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams., , and . SAC, page 448-452. ACM, (2007)