English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Machine learning an audio taxonomy: Quantifying biodiversity and habitat recovery through rainforest audio recordings

Treuer, T., Altosaar, J., Hartnett, A., Twomey, C., Dobson, A., Wilcove, D., et al. (2014). Machine learning an audio taxonomy: Quantifying biodiversity and habitat recovery through rainforest audio recordings. The Journal of the Acoustical Society of America, 135(4), 2368-2368. doi:10.1121/1.4877807.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-8E2A-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-7992-7
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Treuer, Tim, Author
Altosaar, Jaan, Author
Hartnett, Andrew, Author
Twomey, Colin, Author
Dobson, Andy, Author
Wilcove, David, Author
Couzin, Iain D.1, Author              
Affiliations:
1Princeton University, USA, ou_persistent22              

Content

show

Details

show
hide
Language(s):
 Dates: 2014-01-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1121/1.4877807
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: The Journal of the Acoustical Society of America
  Other : JASA
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Woodbury, NY : Acoustical Society of America through the American Institute of Physics
Pages: - Volume / Issue: 135 (4) Sequence Number: - Start / End Page: 2368 - 2368 Identifier: ISSN: 1520-9024
CoNE: https://pure.mpg.de/cone/journals/resource/991042754070048