Automatic Classification of Anuran Sounds Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Automatic Classification of Anuran Sounds Using Convolutional Neural Networks

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering - C3S2E '16
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Author:

Colonna Juan¹,Peet Tanel²,Ferreira Carlos Abreu³,Jorge Alípio M.⁴,Gomes Elsa Ferreira⁵,Gama João⁴

Affiliation:

1. Universidade Federal do Amazonas, Manaus, Brazil

2. Estonian Information Technology College, Tallinn, Estonia

3. Instituto Politecnico do Porto, Porto, Portugal

4. Universidade do Porto, Porto, Portugal

5. Instituto Superior de Engenharia do Porto, Porto, Portugal

Publisher

ACM Press

Reference23 articles.

1. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. Wireless sensor networks: a survey. Computer networks, 38(4):393--422, 2002.

2. J. Cai, D. Ee, B. Pham, P. Roe, and J. Zhang. Sensor network for the monitoring of ecosystem: Bird species recognition. In Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on, pages 293--298. IEEE, 2007.

3. C. Carey, W. R. Heyer, J. Wilkinson, R. A. Alford, J. W. Arntzen, T. Halliday, L. Hungerford, K. R. Lips, E. M. Middleton, S. A. Orchard, and A. S. Rand. Amphibian declines and environmental change: Use of remote-sensing data to identify environmental correlates. Conservation Biology, 15(4):903--913, 2001.

4. J. P. Collins and A. Storfer. Global amphibian declines: sorting the hypotheses. Diversity and distributions, 9(2):89--98, 2003.

5. J. G. Colonna, A. D. Ribas, E. M. dos Santos, and E. F. Nakamura. Feature subset selection for automatically classifying anuran calls using sensor networks. In Neural Networks (IJCNN), The 2012 International Joint Conference on, pages 1--8, June 2012.

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