Cargando…
Applying Attention-Based Models for Detecting Cognitive Processes and Mental Health Conditions
According to the psychological literature, implicit motives allow for the characterization of behavior, subsequent success, and long-term development. Contrary to personality traits, implicit motives are often deemed to be rather stable personality characteristics. Normally, implicit motives are obt...
Autores principales: | Villatoro-Tello, Esaú, Parida, Shantipriya, Kumar, Sajit, Motlicek, Petr |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286051/ https://www.ncbi.nlm.nih.gov/pubmed/34306241 http://dx.doi.org/10.1007/s12559-021-09901-1 |
Ejemplares similares
-
Detection and discrimination of diffractive events with ALICE-LHC at CERN
por: Villatoro Tello, Abraham
Publicado: (2021) -
Applied natural language processing in mental health big data
por: Stewart, Robert, et al.
Publicado: (2020) -
Natural language processing applied to mental illness detection: a narrative review
por: Zhang, Tianlin, et al.
Publicado: (2022) -
Attentive and Pre-Attentive Processes in Change Detection and Identification
por: Hughes, Howard C., et al.
Publicado: (2012) -
Terms and conditions apply: Critical issues for readability and jargon in mental health depression apps
por: Jilka, Sagar, et al.
Publicado: (2021)