Apparent Personality Traits Detection Based on Correlation-Based Attention and Feature Weighting Methods
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4727-6_40
Reference10 articles.
1. J.C. Silveira Jacques Junior et al., First impressions: a survey on vision-based apparent personality trait analysis. IEEE Trans. Affect. Comput. 1–1 (2019). https://doi.org/10.1109/taffc.2019.2930058
2. Mamidisetti, S., Reddy, A.M.: A stacking-based ensemble framework for automatic depression detection using audio signals. Int. J. Adv. Comput. Sci. Appl. 14(7), 603–612 (2023). https://doi.org/10.14569/IJACSA.2023.0140767
3. V. Ponce-López et al., Chalearn LAP 2016: first round challenge on first impressions—dataset and results, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9915 LNCS, no. November (2016), pp. 400–418. https://doi.org/10.1007/978-3-319-49409-8_32
4. Xu, J., Tian, W., Lv, G., Liu, S., Fan, Y.: Prediction of the big five personality traits using static facial images of college students with different academic backgrounds. IEEE Access 9, 76822–76832 (2021). https://doi.org/10.1109/ACCESS.2021.3076989
5. Willis, J., Todorov, A.: First impressions: making up your mind after a 100-ms exposure to a face. Psychol. Sci. 17(7), 592–598 (2006). https://doi.org/10.1111/j.1467-9280.2006.01750.x
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