Wikimedia Commons

File:A machine learning approach to quantify the specificity of colour–emotion associations and their cultural differences.pdf

Go to page
next page →
next page →
next page →

Original file ‎(1,085 × 1,575 pixels, file size: 1.48 MB, MIME type: application/pdf, 19 pages)

Captions

Captions

Add a one-line explanation of what this file represents

Summary

edit
Description
English: Jonauskaite, Domicele; Wicker, Jörg; Mohr, Christine; Dael, Nele; Havelka, Jelena; Papadatou-Pastou, Marietta; Zhang, Meng; Oberfeld, Daniel (2019). "A machine learning approach to quantify the specificity of colour–emotion associations and their cultural differences". Royal Society Open Science. 6 (9): 190741. doi:10.1098/rsos.190741. ISSN 2054-5703. PMC 6774957. PMID 31598303. (Check for updates)
Date
Source https://doi.org/10.1098/rsos.190741 via PubMed Central FTP
Author Jonauskaite, Domicele; Wicker, Jörg; Mohr, Christine; Dael, Nele; Havelka, Jelena; Papadatou-Pastou, Marietta; Zhang, Meng; Oberfeld, Daniel

Licensing

edit
w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current09:13, 21 June 2024Thumbnail for version as of 09:13, 21 June 20241,085 × 1,575, 19 pages (1.48 MB)DaxBot (talk | contribs)Uploading PDF from Royal Society Open Science. File via PubMed Central FTP. DaxBot Task #1 v2.

You cannot overwrite this file.

The following page uses this file:

Metadata

This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.

Retrieved from "https://commons.wikimedia.org/w/index.php?title=File:A_machine_learning_approach_to_quantify_the_specificity_of_colour–emotion_associations_and_their_cultural_differences.pdf&oldid=886536773"