All signals point to personality: A dual-pipeline LSTM-attention and symbolic dynamics framework for predicting personality traits from Bio-Electrical signals-Reference-Cited by-同舟云学术

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All signals point to personality: A dual-pipeline LSTM-attention and symbolic dynamics framework for predicting personality traits from Bio-Electrical signals

Published:2024-10 Issue: Volume:96 Page:106609
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Kumar Deepak^ORCID,Singh Pradeep^ORCID,Raman Balasubramanian^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. The big-five trait taxonomy: history, measurement, and theoretical perspectives;John,1999

2. The lexical approach to personality: A historical review of trait taxonomic research;John;Eur. J. Personal.,1988

3. Paradigm shift to the integrative big five trait taxonomy;John,2008

4. Predicting the big 5 personality traits from digital footprints on social media: A meta-analysis;Azucar;Personal. Individual Differences,2018

5. Long short-term memory;Hochreiter;Neural Comput.,1997

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