Shavlokhova, V., Vollmer, A., Stoll, C., Vollmer, M., Lang, G. M., & Saravi, B. E. [ca. 2024]. Assessing the role of facial symmetry and asymmetry between partners in predicting relationship duration: a pilot deep learning analysis of celebrity couples [Cd]. Freiburg: Universität. https://doi.org/10.3390/sym16020176

SHAVLOKHOVA, Veronika, VOLLMER, Andreas, STOLL, Christian, VOLLMER, Michael, LANG, Gernot Michael und SARAVI, Babak Ebrahimzadeh, 2024. Assessing the role of facial symmetry and asymmetry between partners in predicting relationship duration: a pilot deep learning analysis of celebrity couples. Freiburg: Universität.

Shavlokhova, V., A. Vollmer, C. Stoll, M. Vollmer, G. M. Lang, und B. E. Saravi. Assessing the role of facial symmetry and asymmetry between partners in predicting relationship duration: a pilot deep learning analysis of celebrity couples. cd, Universität, 2024, https://doi.org/10.3390/sym16020176.

Shavlokhova, Veronika/Vollmer, Andreas/Stoll, Christian/Vollmer, Michael/Lang, Gernot Michael/Saravi, Babak Ebrahimzadeh: Assessing the role of facial symmetry and asymmetry between partners in predicting relationship duration: a pilot deep learning analysis of celebrity couples, Freiburg 2024.

Shavlokhova, V., Vollmer, A., Stoll, C., Vollmer, M., Lang, G.M. und Saravi, B.E. (2024), Assessing the role of facial symmetry and asymmetry between partners in predicting relationship duration: a pilot deep learning analysis of celebrity couples, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.3390/sym16020176.