Applying machine learning and audio analysis techniques to insect recognition in intelligent traps (2013)
- Authors:
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- DOI: 10.1109/ICMLA.2013.24
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: CPS/IEEE
- Publisher place: Los Alamitos
- Date published: 2013
- ISBN: 9780769551449
- Source:
- Título: Proceedings
- Conference titles: International Conference on Machine Learning and Applications - ICMLA
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
SILVA, Diego Furtado et al. Applying machine learning and audio analysis techniques to insect recognition in intelligent traps. 2013, Anais.. Los Alamitos: CPS/IEEE, 2013. Disponível em: https://doi.org/10.1109/ICMLA.2013.24. Acesso em: 07 abr. 2026. -
APA
Silva, D. F., Souza, V. M. A. de, Batista, G. E. de A. P. A., Keogh, E., & Ellis, D. P. W. (2013). Applying machine learning and audio analysis techniques to insect recognition in intelligent traps. In Proceedings. Los Alamitos: CPS/IEEE. doi:10.1109/ICMLA.2013.24 -
NLM
Silva DF, Souza VMA de, Batista GE de APA, Keogh E, Ellis DPW. Applying machine learning and audio analysis techniques to insect recognition in intelligent traps [Internet]. Proceedings. 2013 ;[citado 2026 abr. 07 ] Available from: https://doi.org/10.1109/ICMLA.2013.24 -
Vancouver
Silva DF, Souza VMA de, Batista GE de APA, Keogh E, Ellis DPW. Applying machine learning and audio analysis techniques to insect recognition in intelligent traps [Internet]. Proceedings. 2013 ;[citado 2026 abr. 07 ] Available from: https://doi.org/10.1109/ICMLA.2013.24 - 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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