Dynamic time series smoothing for symbolic interval data applied to neuroscience-Reference-Cited by-同舟云学术

Dynamic time series smoothing for symbolic interval data applied to neuroscience

Published:2020-05 Issue: Volume:517 Page:415-426
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Nascimento Diego C.^ORCID,Pimentel Bruno^ORCID,Souza Renata^ORCID,Leite João P.,Edwards Dylan J.,Santos Taiza E.G.^ORCID,Louzada Francisco

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference55 articles.

1. Center of pressure speed changes with tDCS versus GVS in patients with lateropulsion after stroke;Babyar;Brain Stimul.,2016

2. Some analyses of interval data;Billard;J. Comput. Inf. Technol.,2008

3. Regression analysis for interval-valued data;Billard,2000

4. Symbolic regression analysis;Billard,2002

5. Symbolic regression analysis;Billard,2002

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