Bat detective-Deep learning tools for bat acoustic signal detection. (Q50420351)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:29518076%20AND%20SRC:MED&resulttype=core&format=json

19 March 2020

title

Bat detective-Deep learning tools for bat acoustic signal detection (English)

1 reference

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19 March 2020

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12

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19 March 2020

Oisin Mac Aodha

1

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19 March 2020

Rory Gibb

2

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19 March 2020

Ella Browning

4

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19 March 2020

Farkas Szodoray-Paradi

15

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19 March 2020

Gabriel Brostow

18

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19 March 2020

Kate Jones

19

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19 March 2020

13

Jon Russ

1 reference

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19 March 2020

author name string

Kate E Barlow

3

1 reference

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19 March 2020

Michael Firman

5

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19 March 2020

Robin Freeman

6

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19 March 2020

Briana Harder

7

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19 March 2020

Libby Kinsey

8

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19 March 2020

Gary R Mead

9

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19 March 2020

Stuart E Newson

10

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19 March 2020

Ivan Pandourski

11

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19 March 2020

Abigel Szodoray-Paradi

14

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19 March 2020

Elena Tilova

16

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19 March 2020

Mark Girolami

17

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19 March 2020

language of work or name

English

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publication date

8 March 2018

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PLOS Computational Biology

19 March 2020

published in

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19 March 2020

volume

14

1 reference

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19 March 2020

page(s)

e1005995

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19 March 2020

issue

3

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Creative Commons Attribution 4.0 International

19 March 2020

copyright license

start time

8 March 2018

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

Everyday bat vocalizations contain information about emitter, addressee, context, and behavior

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Differential responses to woodland character and landscape context by cryptic bats in urban environments

10 July 2018

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Measuring acoustic habitats.

10 July 2018

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The effect of call libraries and acoustic filters on the identification of bat echolocation

10 July 2018

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Acoustic sequences in non-human animals: a tutorial review and prospectus

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Conservation. Sensing biodiversity

10 July 2018

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Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning

10 July 2018

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Operator bias in software-aided bat call identification

10 July 2018

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Real-time bioacoustics monitoring and automated species identification

10 July 2018

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Use of large-scale acoustic monitoring to assess anthropogenic pressures on Orthoptera communities

10 July 2018

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Estimating animal population density using passive acoustics.

10 July 2018

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Biodiversity loss and its impact on humanity

10 July 2018

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Rapid acoustic survey for biodiversity appraisal

10 July 2018

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Acoustic identification of twelve species of echolocating bat by discriminant function analysis and artificial neural networks

10 July 2018

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Long short-term memory

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Acoustic detection and classification of Microchiroptera using machine learning: lessons learned from automatic speech recognition.

10 July 2018

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Model-based detection of synthetic bat echolocation calls using an energy threshold detector for initialization

14 August 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/29518076

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based on heuristic

Assessing data quality in citizen science

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Identifiers

DOI

10.1371/JOURNAL.PCBI.1005995

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:29518076%20AND%20SRC:MED&resulttype=core&format=json

19 March 2020

0 references

journals/ploscb/AodhaGBBFFHKMNP18

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:29518076%20AND%20SRC:MED&resulttype=core&format=json

19 March 2020

1 reference