Cite
Study on an effective cross-stimulus emotion recognition model using EEGs based on feature selection and support vector machine.
MLA
Liu, Shuang, et al. “Study on an Effective Cross-Stimulus Emotion Recognition Model Using EEGs Based on Feature Selection and Support Vector Machine.” International Journal of Machine Learning & Cybernetics, vol. 9, no. 5, May 2018, pp. 721–26. EBSCOhost, https://doi.org/10.1007/s13042-016-0601-4.
APA
Liu, S., Tong, J., Meng, J., Yang, J., Zhao, X., He, F., Qi, H., & Ming, D. (2018). Study on an effective cross-stimulus emotion recognition model using EEGs based on feature selection and support vector machine. International Journal of Machine Learning & Cybernetics, 9(5), 721–726. https://doi.org/10.1007/s13042-016-0601-4
Chicago
Liu, Shuang, Jingjing Tong, Jiayuan Meng, Jiajia Yang, Xin Zhao, Feng He, Hongzhi Qi, and Dong Ming. 2018. “Study on an Effective Cross-Stimulus Emotion Recognition Model Using EEGs Based on Feature Selection and Support Vector Machine.” International Journal of Machine Learning & Cybernetics 9 (5): 721–26. doi:10.1007/s13042-016-0601-4.