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Original Articles

APPLICATIONS OF DATA MINING TECHNIQUES TO AUTOMATIC FROG IDENTIFICATION

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Pages 553-569 | Published online: 01 Oct 2009

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Shu-Hsien Liao, Yin-Ju Chen & Hsiao-Wei Yang. (2013) MINING CUSTOMER KNOWLEDGE FOR CHANNEL AND PRODUCT SEGMENTATION. Applied Artificial Intelligence 27:7, pages 635-655.
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Jörg Müller, Oliver Mitesser, H. Martin Schaefer, Sebastian Seibold, Annika Busse, Peter Kriegel, Dominik Rabl, Rudy Gelis, Alejandro Arteaga, Juan Freile, Gabriel Augusto Leite, Tomaz Nascimento de Melo, Jack LeBien, Marconi Campos-Cerqueira, Nico Blüthgen, Constance J. Tremlett, Dennis Böttger, Heike Feldhaar, Nina Grella, Ana Falconí-López, David A. Donoso, Jerome Moriniere & Zuzana Buřivalová. (2023) Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests. Nature Communications 14:1.
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Jie Xie, Michael Towsey, Jinglan Zhang & Paul Roe. (2019) Investigation of Acoustic and Visual Features for Frog Call Classification. Journal of Signal Processing Systems 92:1, pages 23-36.
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Jie Xie, Michael Towsey, Mingying Zhu, Jinglan Zhang & Paul Roe. (2017) An intelligent system for estimating frog community calling activity and species richness. Ecological Indicators 82, pages 13-22.
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Grace L. Samson, Joan Lu & Aminat A. Showole. (2014) Mining Complex Spatial Patterns: Issues and Techniques. Journal of Information & Knowledge Management 13:02, pages 1450019.
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