Visualization and categorization of ecological acoustic events based on discriminant features-Reference-Cited by-同舟云学术

Visualization and categorization of ecological acoustic events based on discriminant features

Published:2021-07 Issue: Volume:126 Page:107316
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Huancapaza Hilasaca Liz Maribel,Gaspar Lucas Pacciullio,Ribeiro Milton Cezar,Minghim Rosane

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference72 articles.

1. Novel teo-based gammatone features for environmental sound classification;Agrawal,2017

2. Introduction to machine learning;Alpaydin,2014

3. A novel visual approach for enhanced attribute analysis and selection;Artur;Computers Graphics,2019

4. Matrix type and landscape attributes modulate avian taxonomic and functional spillover across habitat boundaries in the brazilian atlantic forest;Barros;Oikos,2019

5. Bogert, B.P., 1963. The quefrency analysis of time series for echoes: cepstrum, pseudo-autocovariance, cross-cepstrum and saphe cracking. Proc. Symposium on Time Series Analysis, 1963, https://ci.nii.ac.jp/naid/10022304707/en/.

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