Xeno-canto (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Xeno-canto" in English language version.

refsWebsite

Global rank English rank

4xeno-canto.org

low place

4doi.org

2^nd place

4nih.gov

4^th place

2arxiv.org

69^th place

59^th place

2harvard.edu

18^th place

17^th place

1handle.net

102^nd place

76^th place

1semanticscholar.org

11^th place

8^th place

1imageclef.org

low place

1theguardian.com

12^th place

11^th place

1researchgate.net

120^th place

125^th place

1indianbiodiversity.org

low place

1sterna-net.eu

low place

1birdid.no

low place

1creativecommons.org

1,010^th place

612^th place

arxiv.org

Stowell, D.F. & Plumbley, M. D. (2014), "Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning", PeerJ, 2: e488, arXiv:1405.6524, Bibcode:2014arXiv1405.6524S, doi:10.7717/peerj.488, PMC 4106198, PMID 25083350
Stowell, D.F.; Musevic, S.; Bonada, J. & Plumbley, M. D. (2013), "Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering", 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 468–472, arXiv:1302.3462, Bibcode:2013arXiv1302.3462S, doi:10.1109/ICASSP.2013.6637691, hdl:10230/41749, ISBN 978-1-4799-0356-6, S2CID 3539066

birdid.no

"Linnet (Linaria cannabina) -> Crossbill (Linaria cannabina) – BirdID's Bird Guide – Nord University – Birdid". birdid.no. Retrieved 2021-03-15.

creativecommons.org

"When we share, everyone wins". Creative Commons. Retrieved 2021-03-15.

doi.org

Brumm, H. & Naguib, M. (2009), "Environmental acoustics and the evolution of bird song", Advances in the Study of Behavior, 40: 1–33, doi:10.1016/S0065-3454(09)40001-9
Weir, J.T. & Wheatcroft, D. (2011), "A latitudinal gradient in rates of evolution of avian syllable diversity and song length", Proceedings of the Royal Society B: Biological Sciences, 278 (1712): 1713–1720, doi:10.1098/rspb.2010.2037, PMC 3081773, PMID 21068034
Stowell, D.F. & Plumbley, M. D. (2014), "Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning", PeerJ, 2: e488, arXiv:1405.6524, Bibcode:2014arXiv1405.6524S, doi:10.7717/peerj.488, PMC 4106198, PMID 25083350
Stowell, D.F.; Musevic, S.; Bonada, J. & Plumbley, M. D. (2013), "Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering", 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 468–472, arXiv:1302.3462, Bibcode:2013arXiv1302.3462S, doi:10.1109/ICASSP.2013.6637691, hdl:10230/41749, ISBN 978-1-4799-0356-6, S2CID 3539066

handle.net

hdl.handle.net

Stowell, D.F.; Musevic, S.; Bonada, J. & Plumbley, M. D. (2013), "Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering", 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 468–472, arXiv:1302.3462, Bibcode:2013arXiv1302.3462S, doi:10.1109/ICASSP.2013.6637691, hdl:10230/41749, ISBN 978-1-4799-0356-6, S2CID 3539066

harvard.edu

ui.adsabs.harvard.edu

Stowell, D.F. & Plumbley, M. D. (2014), "Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning", PeerJ, 2: e488, arXiv:1405.6524, Bibcode:2014arXiv1405.6524S, doi:10.7717/peerj.488, PMC 4106198, PMID 25083350
Stowell, D.F.; Musevic, S.; Bonada, J. & Plumbley, M. D. (2013), "Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering", 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 468–472, arXiv:1302.3462, Bibcode:2013arXiv1302.3462S, doi:10.1109/ICASSP.2013.6637691, hdl:10230/41749, ISBN 978-1-4799-0356-6, S2CID 3539066

imageclef.org

BirdCLEF 2019 webpage

indianbiodiversity.org

"About AVIS – IBIS – IBIS". Retrieved 2021-03-15.

nih.gov

ncbi.nlm.nih.gov

Weir, J.T. & Wheatcroft, D. (2011), "A latitudinal gradient in rates of evolution of avian syllable diversity and song length", Proceedings of the Royal Society B: Biological Sciences, 278 (1712): 1713–1720, doi:10.1098/rspb.2010.2037, PMC 3081773, PMID 21068034
Stowell, D.F. & Plumbley, M. D. (2014), "Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning", PeerJ, 2: e488, arXiv:1405.6524, Bibcode:2014arXiv1405.6524S, doi:10.7717/peerj.488, PMC 4106198, PMID 25083350

pubmed.ncbi.nlm.nih.gov

Weir, J.T. & Wheatcroft, D. (2011), "A latitudinal gradient in rates of evolution of avian syllable diversity and song length", Proceedings of the Royal Society B: Biological Sciences, 278 (1712): 1713–1720, doi:10.1098/rspb.2010.2037, PMC 3081773, PMID 21068034
Stowell, D.F. & Plumbley, M. D. (2014), "Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning", PeerJ, 2: e488, arXiv:1405.6524, Bibcode:2014arXiv1405.6524S, doi:10.7717/peerj.488, PMC 4106198, PMID 25083350

researchgate.net

"www.xeno-canto.org: a decade on".

semanticscholar.org

api.semanticscholar.org

Stowell, D.F.; Musevic, S.; Bonada, J. & Plumbley, M. D. (2013), "Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering", 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 468–472, arXiv:1302.3462, Bibcode:2013arXiv1302.3462S, doi:10.1109/ICASSP.2013.6637691, hdl:10230/41749, ISBN 978-1-4799-0356-6, S2CID 3539066

sterna-net.eu

"Members". sterna-net.eu. Retrieved 2021-03-15.

theguardian.com

"Science | The Guardian". the Guardian. Retrieved 2021-03-15.

xeno-canto.org

"About Xeno Canto". xeno-canto. Retrieved 2019-04-16.
"News discussion 2080 :: xeno-canto". xeno-canto.org. Retrieved 2023-07-16.
"Terms of Use". xeno-canto. Retrieved 2013-01-07.
"Colophon and Credits". xeno-canto. Retrieved 2013-01-07.