1 Minsky, Marvin. "Steps toward artificial intelligence." Proceedings of the IRE 49, no. 1 (1961): 8-30. https://rodsmith.nz/wp-content/uploads/Minsky-steps-towards-artificial-intelligence-1.pdf.
2 Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning (Cambridge, MA: MIT Press, 2016). https://www.deeplearningbook.org/contents/autoencoders.html.
3 Narisetty, Naveen Naidu. "Bayesian model selection for high-dimensional data." In Handbook of statistics, vol. 43, pp. 207-248. Elsevier, 2020. https://www.sciencedirect.com/science/article/abs/pii/S0169716119300380.
4 de-la-Bandera, Isabel, David Palacios, Jessica Mendoza, and Raquel Barco. "Feature extraction for dimensionality reduction in cellular networks performance analysis." Sensors 20, no. 23 (2020): 6944. https://pmc.ncbi.nlm.nih.gov/articles/PMC7730729.
5 https://www.sciencedirect.com/topics/computer-science/feature-extraction.
6 Khalid, Samina, Tehmina Khalil, and Shamila Nasreen. "A survey of feature selection and feature extraction techniques in machine learning." In 2014 science and information conference, pp. 372-378. IEEE, 2014. https://ieeexplore.ieee.org/abstract/document/6918213.
7 Kuhn, Max, and Kjell Johnson. Applied predictive modeling. Vol. 26. New York: Springer, 2013.
8 Zhou, Yuansheng, and Tatyana O. Sharpee. "Using global t-SNE to preserve intercluster data structure." Neural computation 34, no. 8 (2022): 1637-1651. https://pmc.ncbi.nlm.nih.gov/articles/PMC10010455/.
9 Sammut, Claude, and Geoffrey I. Webb, eds. Encyclopedia of machine learning. Springer Science & Business Media, 2011.
10 Minsky, Marvin. "Steps toward artificial intelligence." Proceedings of the IRE 49, no. 1 (1961): 8 30. https://www.sciencedirect.com/science/article/abs/pii/S1566253523005341.
11 Geetha, A. V., T. Mala, D. Priyanka, and E. Uma. "Multimodal emotion recognition with deep learning: advancements, challenges, and future directions." Information Fusion 105 (2024): 102218. https://www.sciencedirect.com/science/article/abs/pii/S1566253523005341.