Cristiani, André Luis 
; Silva, Tiago Pinho da ; Camargo, Heloisa de Arruda
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, FUZZY (INTELIGÊNCIA ARTIFICIAL), RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
CRISTIANI, André Luis e SILVA, Tiago Pinho da e CAMARGO, Heloisa de Arruda. A fuzzy approach for classification and novelty detection in data streams under intermediate latency. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_12. Acesso em: 02 nov. 2024. , 2020APA
Cristiani, A. L., Silva, T. P. da, & Camargo, H. de A. (2020). A fuzzy approach for classification and novelty detection in data streams under intermediate latency. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_12NLM
Cristiani AL, Silva TP da, Camargo H de A. A fuzzy approach for classification and novelty detection in data streams under intermediate latency [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 171-186.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_12Vancouver
Cristiani AL, Silva TP da, Camargo H de A. A fuzzy approach for classification and novelty detection in data streams under intermediate latency [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 171-186.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_12
