Counting and classifying mosquitoes from a distance with ultra cheap sensors (2011)
- Authors:
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Annual Meeting of the American Mosquito Control Association
-
ABNT
BATISTA, Gustavo Enrique de Almeida Prado Alves e KEOGH, Eamonn e MAFRA-NETO, Agenor. Counting and classifying mosquitoes from a distance with ultra cheap sensors. 2011, Anais.. Anaheim: AMCA, 2011. . Acesso em: 13 mar. 2026. -
APA
Batista, G. E. de A. P. A., Keogh, E., & Mafra-Neto, A. (2011). Counting and classifying mosquitoes from a distance with ultra cheap sensors. In Proceedings. Anaheim: AMCA. -
NLM
Batista GE de APA, Keogh E, Mafra-Neto A. Counting and classifying mosquitoes from a distance with ultra cheap sensors. Proceedings. 2011 ;[citado 2026 mar. 13 ] -
Vancouver
Batista GE de APA, Keogh E, Mafra-Neto A. Counting and classifying mosquitoes from a distance with ultra cheap sensors. Proceedings. 2011 ;[citado 2026 mar. 13 ] - 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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