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The use of acoustic indices to determine avian species richness in audio-recordings of the environment

Ecological informatics, 2014-05, Vol.21, p.110-119

2014

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Revealing the ecological content of long-duration audio-recordings of the environment through clustering and visualisation

PloS one, 2018-03, Vol.13 (3), p.e0193345-e0193345

2018

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A new method to estimate abundance of Australasian Bittern ( Botaurus poiciloptilus ) from acoustic recordings

Avian conservation and ecology, 2024-06, Vol.19 (1), p.16, Article art16

2024

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Assessing the potential of acoustic indices for protected area monitoring in the Serra do Cipó National Park, Brazil

Ecological indicators, 2021-01, Vol.120, p.106953, Article 106953

2021

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Eastern Black Rail detection using semi-automated analysis of long-duration acoustic recordings

Avian conservation and ecology, 2021-06, Vol.16 (1), p.1, Article art9

2021

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Adaptive frequency scaled wavelet packet decomposition for frog call classification

Ecological informatics, 2016-03, Vol.32, p.134-144

2016

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Classifying and ranking audio clips to support bird species richness surveys

Ecological informatics, 2016-07, Vol.34, p.108-116

2016

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Using a Novel Visualization Tool for Rapid Survey of Long-Duration Acoustic Recordings for Ecological Studies of Frog Chorusing

Frontiers in ecology and evolution, 2022-01, Vol.9

2022

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The Emergence of Subtle Organicism

Journal of Futures Studies, 2011-09, Vol.16 (1), p.109-136

Michael Towsey

2011

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The Emergence of Subtle Organicism A Reply to Comments from M. Bussey, T. Dolan, W. Halal and T. Lombardo

Journal of Futures Studies, 2011-09, Vol.16 (1), p.169-176

Michael Towsey

2011

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Application of image processing techniques for frog call classification

2015 IEEE International Conference on Image Processing (ICIP), 2015, p.4190-4194

2015

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Automated species identification of frog choruses in environmental recordings using acoustic indices

Ecological indicators, 2020-12, Vol.119, p.106852, Article 106852

2020

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Acoustic monitoring reveals year-round calling by invasive toads in tropical Australia

Bioacoustics (Berkhamsted), 2021-03, Vol.30 (2), p.125-141

2021

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Using multi-label classification for acoustic pattern detection and assisting bird species surveys

Applied acoustics, 2016-09, Vol.110, p.91-98

2016

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An intelligent system for estimating frog community calling activity and species richness

Ecological indicators, 2017-11, Vol.82, p.13-22

2017

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Acoustic classification of Australian frogs based on enhanced features and machine learning algorithms

Applied acoustics, 2016-12, Vol.113, p.193-201

2016

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Frog call classification: a survey

The Artificial intelligence review, 2018-03, Vol.49 (3), p.375-391

2018

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Analysing environmental acoustic data through collaboration and automation

Future generation computer systems, 2013-02, Vol.29 (2), p.560-568

2013

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Visualization of Long-duration Acoustic Recordings of the Environment

Procedia computer science, 2014, Vol.29, p.703-712

2014

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A toolbox for animal call recognition

Bioacoustics (Berkhamsted), 2012-06, Vol.21 (2), p.107-125

2012

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A novel frog chorusing recognition method with acoustic indices and machine learning

Future generation computer systems, 2021-12, Vol.125, p.485-495

2021

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Using visualization and machine learning methods to monitor low detectability species—The least bittern as a case study

Ecological informatics, 2020-01, Vol.55 (C), p.101014, Article 101014

2020

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Using non-negative matrix factorisation to facilitate efficient bird species richness surveys

Ecological indicators, 2017-09, Vol.80, p.297-302

2017

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Acoustic region workflow for efficient comparison of soundscapes under different invasive mammals' management regimes

Ecological informatics, 2022-05, Vol.68, p.101554, Article 101554

2022

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Ecology and acoustics at a large scale

Ecological informatics, 2014-05, Vol.21, p.1-3

2014

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The use of acoustic indices to determine avian species richness in audio-recordings of the environment

Revealing the ecological content of long-duration audio-recordings of the environment through clustering and visualisation

A new method to estimate abundance of Australasian Bittern ( Botaurus poiciloptilus ) from acoustic recordings

Assessing the potential of acoustic indices for protected area monitoring in the Serra do Cipó National Park, Brazil

Eastern Black Rail detection using semi-automated analysis of long-duration acoustic recordings

Adaptive frequency scaled wavelet packet decomposition for frog call classification

Classifying and ranking audio clips to support bird species richness surveys

Using a Novel Visualization Tool for Rapid Survey of Long-Duration Acoustic Recordings for Ecological Studies of Frog Chorusing

The Emergence of Subtle Organicism

The Emergence of Subtle Organicism A Reply to Comments from M. Bussey, T. Dolan, W. Halal and T. Lombardo

Application of image processing techniques for frog call classification

Automated species identification of frog choruses in environmental recordings using acoustic indices

Acoustic monitoring reveals year-round calling by invasive toads in tropical Australia

Using multi-label classification for acoustic pattern detection and assisting bird species surveys

An intelligent system for estimating frog community calling activity and species richness

Acoustic classification of Australian frogs based on enhanced features and machine learning algorithms

Frog call classification: a survey

Analysing environmental acoustic data through collaboration and automation

Visualization of Long-duration Acoustic Recordings of the Environment

A toolbox for animal call recognition

A novel frog chorusing recognition method with acoustic indices and machine learning

Using visualization and machine learning methods to monitor low detectability species—The least bittern as a case study

Using non-negative matrix factorisation to facilitate efficient bird species richness surveys

Acoustic region workflow for efficient comparison of soundscapes under different invasive mammals' management regimes

Ecology and acoustics at a large scale

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