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Vanesa Sánchez-Souto

Biographic Data

ID6247268
NAMEVanesa Sánchez-Souto
GIVEN NAMESVanesa
FAMILY NAMESánchez-Souto
SIGNATURESÁNCHEZ-SOUTO V
AFFILIATIONSUniversidade da Coruña
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS2
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict

    Open Access•Silvia López-Larrosa, Silvia López‐Larrosa et al.•ARTICLE•Social Science Computer Review•2022•References: 4

    Many cases of violence against children occur in homes and other close environments. Machine leaning is a novel approach that addresses important gaps in ways of examining this socially significant issue, illustrating innovative and emerging approaches for the use of computers from a psychological perspective. In this paper, we aim to use machine learning techniques to predict adolescents’ involvement in family conflict in a sample of adolescents…

  • Exploring the relationship between interparental conflict and emotional security

    Open Access•Silvia López-Larrosa, Silvia López‐Larrosa et al.•ARTICLE•Children and Youth Services Review•2019•Cited by: 2•References: 50

  • Exploring the relationship between interparental conflict and emotional security

    Open Access•Silvia López-Larrosa, Silvia López‐Larrosa et al.•ARTICLE•Children and Youth Services Review•2019•Cited by: 2•References: 50

  • Exploring the relationship between interparental conflict and emotional security

    Open Access•Silvia López-Larrosa, Silvia López‐Larrosa et al.•ARTICLE•Children and Youth Services Review•2019•Cited by: 2•References: 50

  • Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict

    Open Access•Silvia López-Larrosa, Silvia López‐Larrosa et al.•ARTICLE•Social Science Computer Review•2022•References: 4

    Many cases of violence against children occur in homes and other close environments. Machine leaning is a novel approach that addresses important gaps in ways of examining this socially significant issue, illustrating innovative and emerging approaches for the use of computers from a psychological perspective. In this paper, we aim to use machine learning techniques to predict adolescents’ involvement in family conflict in a sample of adolescents…

Blame (2 works) · Developmental psychology (2 works) · Family conflict (2 works) · Family Dynamics and Relationships (2 works) · Gerontology (2 works) · Intimate Partner and Family Violence (2 works) · Medicine (2 works) · Psychology (2 works) · Social Psychology (2 works) · Social Psychology (2 works)

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