Open Access
Issue |
ITM Web Conf.
Volume 67, 2024
The 19th IMT-GT International Conference on Mathematics, Statistics and Their Applications (ICMSA 2024)
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 17 | |
Section | Mathematics, Statistics and Their Applications | |
DOI | https://doi.org/10.1051/itmconf/20246701007 | |
Published online | 21 August 2024 |
- L. Ellis, D.P. Farrington, A.W. Hoskin, in Handbook of Crime Correlates (Second Edition), (Academic Press, San Diego, 2019), 205–257 (2019) [CrossRef] [Google Scholar]
- E. Diener, E. Sandvik, W. Pavot, F. Fujita, J. Res. Pers., 26, 205–215 (1992) [CrossRef] [Google Scholar]
- W. Pavot, E. Diener, F. Fujita, Pers. Individ. Differ., 11 (12), 1299–1306 (1990) [CrossRef] [Google Scholar]
- D. Watson, K. Stanton, S. Khoo, S. Ellickson-Larew, S.M. Stasik-O’Brien, J. Res. Pers., 81, 1–10 (2019) [CrossRef] [Google Scholar]
- M. Humpal, Ray Stanford Strong, West Coast Landscape Artist, vol. 28 (University of Oklahoma Press, 2017) [Google Scholar]
- N. de Jong, B. Wisse, J. A. M. Heesink, K.I. van der Zee, Front. Psychol., 10, 461663 (2019) [CrossRef] [Google Scholar]
- K. Korjus, A. Uusberg, H. Uusberg, N. Kuldkepp, K. Kreegipuu, J. Allik, R. Vicente, J. Aru, Front. Hum. Neurosci., 9, (2015) [Google Scholar]
- R. Subramanian, J. Wache, M.K. Abadi, R.L. Vieriu, S. Winkler, N. Sebe, IEEE Trans. Affect. Comput., 9 (2), 147–160 (2018) [CrossRef] [Google Scholar]
- H. Bhardwaj, P. Tomar, A. Sakalle, A. Bhardwaj, Classification of extraversion and introversion personality trait using electroencephalogram signals, in Artificial Intelligence and Sustainable Computing for Smart City: First International Conference, AIS2C2 2021, Greater Noida, India, March 22-23, 2021, Revised Selected Papers 1. (Springer, 2021), 31–39 (2021) [Google Scholar]
- A.R. Antony, Z. Haneef, Seizure 83, 234–241 (2020) [CrossRef] [Google Scholar]
- R. Katmah, F. Al-Shargie, U. Tariq, F. Babiloni, F. Al-Mughairbi, H. Al-Nashash, Sensors 21 (15), 5043 (2021) [CrossRef] [Google Scholar]
- M.A. Klados, P. Konstantinidi, R. Dacosta-Aguayo, V.D. Kostaridou, A. Vinciarelli, M. Zervakis, Brain Sci., 10 (5), 278 (2020) [CrossRef] [Google Scholar]
- H. Baumgartl, S. Bayerlein, R. Buettner, In NeuroIS Retreat. (Springer, 2020), 259–265 (2020) [Google Scholar]
- A.R. Butt, A. Arsalan, M. Majid, IEEE Sens. J., 20 (12), 6532–6541 (2020) [CrossRef] [Google Scholar]
- J. Derrac, S. García, F. Herrera, Inf. Sci., 260, 98–119 (2014) [CrossRef] [Google Scholar]
- S. Taneja, C. Gupta, S. Aggarwal, V. Jindal, MFZ-KNN - A modified fuzzy based K nearest neighbor algorithm, in 2015 International Conference on Cognitive Computing and Information Processing(CCIP), 1–5, (2015) [Google Scholar]
- G. Zhao, Y. Ge, B. Shen, X. Wei, H. Wang, IEEE Trans. Affect. Comput., 9 (3), 362–371 (2018) [CrossRef] [Google Scholar]
- F.Q. Annisa, E. Supriyanto, S. Taheri, Personality dimensions classification with EEG analysis using support vector machine, in 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 79–82 (2020) [CrossRef] [Google Scholar]
- R. Arya, J. Singh, EEG Signals based Personality and Mood Recognition using Neural Network Approach, in 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM). (IEEE), 217–220 (2022) [CrossRef] [Google Scholar]
- J.A.M. Correa, M.K. Abadi, N. Sebe, I. Patras, IEEE Trans. Affect. Comput., 12 (2), 479–493 (2018) [Google Scholar]
- P. Berg, M. Scherg, Electroencephalogr. Clin. Neurophysiol., 90 (3), 229–241 (1994) [CrossRef] [Google Scholar]
- R.W. Thatcher, D. North, C. Biver, Clin. Neurophysiol. 116 (9), 2129–2141 (2005) [CrossRef] [Google Scholar]
- R. Mihaila, J. Inf. Syst. Oper. Manage., 460 (2016) [Google Scholar]
- N. Silaban, T. Giawa, I. Hutabarat, Jurnal Littera: Fakultas Sastra Darma Agung 1 (1), 10–17 (2021) [Google Scholar]
- J.F. Nottage, J. Horder, Neuropsychobiology 72 (3-4), 219–228 (2016) [Google Scholar]
- D.A. Pisner, D.M. Schnyer, Support vector machine, in Machine Learning 101–121 (Academic press, 2020) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.