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Zai El Amri, F. Reinhart, and W. Schenck, “Open set task augmentation facilitates generalization of deep neural networks trained on small data sets,” <i>Neural Computing and Applications</i>, vol. 34, no. 8, pp. 6067–6083, 2022.","apa":"Zai El Amri, W., Reinhart, F., &#38; Schenck, W. (2022). Open set task augmentation facilitates generalization of deep neural networks trained on small data sets. <i>Neural Computing and Applications</i>, <i>34</i>(8), 6067–6083. <a href=\"https://doi.org/10.1007/s00521-021-06753-6\">https://doi.org/10.1007/s00521-021-06753-6</a>","bibtex":"@article{Zai El Amri_Reinhart_Schenck_2022, title={Open set task augmentation facilitates generalization of deep neural networks trained on small data sets}, volume={34}, DOI={<a href=\"https://doi.org/10.1007/s00521-021-06753-6\">10.1007/s00521-021-06753-6</a>}, number={8}, journal={Neural Computing and Applications}, publisher={Springer Science and Business Media LLC}, author={Zai El Amri, Wadhah and Reinhart, Felix and Schenck, Wolfram}, year={2022}, pages={6067–6083} }","alphadin":"<span style=\"font-variant:small-caps;\">Zai El Amri, Wadhah</span> ; <span style=\"font-variant:small-caps;\">Reinhart, Felix</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Open set task augmentation facilitates generalization of deep neural networks trained on small data sets. In: <i>Neural Computing and Applications</i> Bd. 34, Springer Science and Business Media LLC (2022), Nr. 8, S. 6067–6083","short":"W. Zai El Amri, F. Reinhart, W. Schenck, Neural Computing and Applications 34 (2022) 6067–6083.","chicago":"Zai El Amri, Wadhah, Felix Reinhart, and Wolfram Schenck. “Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets.” <i>Neural Computing and Applications</i> 34, no. 8 (2022): 6067–83. <a href=\"https://doi.org/10.1007/s00521-021-06753-6\">https://doi.org/10.1007/s00521-021-06753-6</a>.","ama":"Zai El Amri W, Reinhart F, Schenck W. Open set task augmentation facilitates generalization of deep neural networks trained on small data sets. <i>Neural Computing and Applications</i>. 2022;34(8):6067-6083. doi:<a href=\"https://doi.org/10.1007/s00521-021-06753-6\">10.1007/s00521-021-06753-6</a>","mla":"Zai El Amri, Wadhah, et al. “Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets.” <i>Neural Computing and Applications</i>, vol. 34, no. 8, Springer Science and Business Media LLC, 2022, pp. 6067–83, doi:<a href=\"https://doi.org/10.1007/s00521-021-06753-6\">10.1007/s00521-021-06753-6</a>."},"status":"public"}]