Signal classification by similarity and feature extraction allows an important application in insect recognition (2014)
- Authors:
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- Subjects: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO APLICADA; ENTOMOLOGIA
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2014
- Source:
- Título: Anais
- Conference titles: Joint Conference on Robotics and Intelligent Systems - JCRIS
-
ABNT
SILVA, Diego Furtado e BATISTA, Gustavo Enrique de Almeida Prado Alves. Signal classification by similarity and feature extraction allows an important application in insect recognition. 2014, Anais.. Porto Alegre: SBC, 2014. . Acesso em: 12 fev. 2026. -
APA
Silva, D. F., & Batista, G. E. de A. P. A. (2014). Signal classification by similarity and feature extraction allows an important application in insect recognition. In Anais. Porto Alegre: SBC. -
NLM
Silva DF, Batista GE de APA. Signal classification by similarity and feature extraction allows an important application in insect recognition. Anais. 2014 ;[citado 2026 fev. 12 ] -
Vancouver
Silva DF, Batista GE de APA. Signal classification by similarity and feature extraction allows an important application in insect recognition. Anais. 2014 ;[citado 2026 fev. 12 ] - Time series classification with motifs and characteristics
- Uma avaliação sobre a identificação de Motifs em séries temporais
- A fuzzy classifier for data streams with infinitely delayed labels
- Fast unsupervised online drift detection using incremental Kolmogorov-Smirnov test
- A complexity-invariant measure based on fractal dimension for time series classification
- Towards automatic classification on flying insects using inexpensive sensors
- Data mining a trillion time series subsequences under dynamic time warping
- Distância invariante à complexidade baseada em dimensão fractal para classificação de séries temporais
- Unsupervised context switch for classification tasks on data streams with recurrent concepts
- On the need of class ratio insensitive drift tests for data streams
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