Crossmark

Energy-Time Profiling for Machine Learning Methods to EEG Classification

Crossref DOI link: https://doi.org/10.1007/978-3-030-88163-4_27

Published Online: 2021-10-09

Published Print: 2021

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gómez-López, Juan Carlos https://orcid.org/0000-0003-2164-4991
Escobar, Juan José https://orcid.org/0000-0002-4258-0264
González, Jesús https://orcid.org/0000-0002-0415-1821
Gil-Montoya, Francisco https://orcid.org/0000-0003-4105-565X
Ortega, Julio https://orcid.org/0000-0002-2998-220X
Burmester, Mike https://orcid.org/0000-0001-5094-5668
Damas, Miguel https://orcid.org/0000-0003-2599-8076
License Information

Text and Data Mining valid from 2021-01-01

Version of Record valid from 2021-01-01
More Information

Chapter History

First Online: 9 October 2021

Conference Information

Conference Acronym: BIOMESIP

Conference Name: International Conference on Bioengineering and Biomedical Signal and Image Processing

Conference City: Meloneras

Conference Country: Spain

Conference Year: 2021

Conference Start Date: 19 July 2021

Conference End Date: 19 July 2021

Conference Number: 1

Conference ID: biomesip2021

Conference URL: https://biomesip.ugr.es/index.html

Peer Review Information (provided by the conference organizers)

Type: Single-blind

Conference Management System: Easychair

Number of Submissions Sent for Review: 121

Number of Full Papers Accepted: 41

Number of Short Papers Accepted: 5

Acceptance Rate of Full Papers: 34% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.

Average Number of Reviews per Paper: 3.1

Average Number of Papers per Reviewer: 2.1

External Reviewers Involved: Yes

Document is current

Any future updates will be listed below