Publisher
Springer International Publishing
Reference26 articles.
1. Cichy, R.M., Kaiser, D.: Deep neural nnetworks as scientific models. Trends Cogn. Sci. 23(4), 305–317 (2019)
2. Goyal A., Gupta V., Kumar M.: Recent named entity recognition and classification techniques: a systematic review. Comput. Sci. Rev. 29, 21–43 (2018)
3. Nixon M.S., Aguado A.S.: Distance, classification and learning. In: Feature Extraction and Image Processing for Computer Vision, pp. 571–604. Academic Press, Elsevier Ltd, London (2020)
4. Davies, E.R.: Face detection and recognition: the impact of deep learning. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) Computer Vision-ECCV 2018, 15th European Conference, pp. 631–662. Munich, Germany (2018)
5. Barrett, D.G.T., Morcos, A.S., Macke, J.H.: Analyzing biological and artificial neural networks: challenges with opportunities for synergy? Curr. Opin. Neurobiol. 55, 55–64 (2019)