Open Access
| Issue |
SHS Web Conf.
Volume 72, 2019
International Scientific Conference: “Achievements and Perspectives of Philosophical Studies” (APPSCONF-2019)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 7 | |
| Section | Philosophy of Science and Technology | |
| DOI | https://doi.org/10.1051/shsconf/20197201012 | |
| Published online | 28 November 2019 | |
- I.F. Arshava & Ya.R. Amineva, The study of correlations between the psychological characteristics of the personality of patients with type 2 diabetes, Proceedings of V International Scientific and Practical Conference “Actual Problems of Personality Psychology”, (2011) https://sibac.info/sites/default/files/files/2011_01_30_Psihologiya/30.01.2011.docx. Accessed 4 July 2019. (In Russian). [Google Scholar]
- J.C. Biesanz, & S.G. West, Towards understanding assessments of the Big Five: Multitrait-multimethod analyses of convergent and discriminant validity across measurement occasion and type of observer, Journal of Personality, 72(4), 845–876, (2004). doi: 10.1111/j.0022-3506.2004.00282.x [CrossRef] [Google Scholar]
- R.E. Chaddock, Principles and methods of statistics (Houghton Mifflin Co.; 1st edition, 1925). doi: 10.1177/000271622612300150 [Google Scholar]
- P.T. Costa, & R.R. McCrae, Normal personality assessment in clinical practice: The NEO Personality Inventory, Psychological assessment, 4(1), 5–13 (1992). doi: 10.1037/1040-3590.4.1.5 [CrossRef] [Google Scholar]
- M. Cristani, A. Vinciarelli, C. Segalin, & A. Perina, Unveiling the multimedia unconscious: Implicit cognitive processes and multimedia content analysis, Proceedings of the 21st ACM International Conference on Multimedia, 213–222 (2013). doi: 10.1145/2502081.2502280 [Google Scholar]
- T.A. Klimstra, W. Bleidorn, J.B. Asendorpf, van Aken M.A.G., & Denissen J.J.A., Correlated change of Big Five personality traits across the lifespan: a search for determinants, Journal of Research in Personality, 47(6), 768–777 (2013). doi: 10.1016/j.jrp.2013.08.004 [CrossRef] [Google Scholar]
- K. Krippendorff, Computing Krippendorff’s alpha-reliability, ScholarlyCommons, (2011). Information on https://repository.upenn.edu/asc_papers/43. Accessed 4 July 2019 [Google Scholar]
- L. Liu, D. Preotiuc-Pietro, Z.R. Samani, M.E. Moghaddam, & L. Ungar, Analyzing personality through social media profile picture choice, Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016), 211–220 (2016) [Google Scholar]
- W. Meints, Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide: A practical guide to building neural networks using Microsoft’s open source deep learning framework. (Packt Publishing Limited, Birmingham, 2019) [Google Scholar]
- H. Oz, Personality traits and ideal l2 self as predictors of academic achievement among prospective English teachers, Proceedings of the 8th Annual International Conference of Education, Research and Innovation (ICERI-2015), Seville, Spain, 5833–5841 (2015) [Google Scholar]
- O. Russakovsky, J. Deng, H. Su, et al., ImageNet large scale visual recognition challenge, International Journal of Computer Vision, 115(3), 211–252 (2015). doi: 10.1007/s11263-015-0816-y [Google Scholar]
- E.C. Tupes, & R.E. Christal, Recurrent personality factors based on trait ratings, USAF ASD technical report, 61–97 (1961). [Google Scholar]
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