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Bielefeld: Hochschule Bielefeld, 2022. <a href=\"https://doi.org/10.57720/2938\">https://doi.org/10.57720/2938</a>."},"place":"Bielefeld","author":[{"first_name":"Patrizia","id":"227291","full_name":"Raschper, Patrizia","last_name":"Raschper"},{"first_name":"Annette","id":"33965","orcid":"0009-0006-8407-3136","full_name":"Nauerth, Annette","last_name":"Nauerth"},{"orcid":"0000-0003-2525-7657","full_name":"Stirner, Alexander","last_name":"Stirner","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-2525-7657/work/182432955","first_name":"Alexander","id":"241218"},{"first_name":"Mia Jasmin","id":"228997","full_name":"Strecker, Mia Jasmin","last_name":"Strecker"}],"date_updated":"2026-03-17T15:28:39Z","oa":"1","department":[{"_id":"4b342258-bee3-11eb-b75f-c9bf9d645214"},{"_id":"1"}],"page":"14","date_created":"2023-05-17T14:28:17Z","user_id":"249224","volume":"53 _1","main_file_link":[{"open_access":"1"}],"type":"working_paper"},{"date_created":"2023-05-20T15:44:58Z","publication":"Neural Computing and Applications","user_id":"245590","type":"journal_article","main_file_link":[{"url":"https://link.springer.com/article/10.1007/s00521-021-06753-6","open_access":"1"}],"volume":34,"author":[{"first_name":"Wadhah","full_name":"Zai El Amri, Wadhah","last_name":"Zai El Amri"},{"last_name":"Reinhart","full_name":"Reinhart, Felix","first_name":"Felix"},{"first_name":"Wolfram","id":"224375","orcid":"0000-0003-3300-2048","full_name":"Schenck, Wolfram","last_name":"Schenck"}],"quality_controlled":"1","date_updated":"2026-03-17T15:28:39Z","oa":"1","page":"6067-6083","citation":{"apa":"Zai El Amri, W., Reinhart, F., &#38; Schenck, W. 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Schenck, Neural Computing and Applications 34 (2022) 6067–6083.","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>.","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","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} }"},"issue":"8","doi":"10.1007/s00521-021-06753-6","publication_identifier":{"issn":["0941-0643"],"eissn":["1433-3058"]},"_id":"2944","year":"2022","title":"Open set task augmentation facilitates generalization of deep neural networks trained on small data sets","publisher":"Springer Science and Business Media LLC","intvolume":"        34","publication_status":"published","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"status":"public","language":[{"iso":"eng"}]},{"title":"Impact of different loss functions on denoising of microscopic images","_id":"2945","publisher":"IEEE","year":"2022","publication_status":"published","status":"public","language":[{"iso":"eng"}],"type":"conference","user_id":"245590","date_created":"2023-05-20T15:51:00Z","publication":"2022 International Joint Conference on Neural Networks (IJCNN)","page":"1-10","date_updated":"2026-03-17T15:28:39Z","quality_controlled":"1","author":[{"full_name":"Shah, Zafran Hussain","last_name":"Shah","first_name":"Zafran Hussain","id":"239296"},{"full_name":"Muller, Marcel","last_name":"Muller","first_name":"Marcel"},{"first_name":"Barbara","last_name":"Hammer","full_name":"Hammer, Barbara"},{"first_name":"Thomas","full_name":"Huser, Thomas","last_name":"Huser"},{"last_name":"Schenck","full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048","id":"224375","first_name":"Wolfram"}],"citation":{"apa":"Shah, Z. 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IEEE; 2022:1-10. doi:<a href=\"https://doi.org/10.1109/IJCNN55064.2022.9892936\">10.1109/IJCNN55064.2022.9892936</a>","bibtex":"@inproceedings{Shah_Muller_Hammer_Huser_Schenck_2022, title={Impact of different loss functions on denoising of microscopic images}, DOI={<a href=\"https://doi.org/10.1109/IJCNN55064.2022.9892936\">10.1109/IJCNN55064.2022.9892936</a>}, booktitle={2022 International Joint Conference on Neural Networks (IJCNN)}, publisher={IEEE}, author={Shah, Zafran Hussain and Muller, Marcel and Hammer, Barbara and Huser, Thomas and Schenck, Wolfram}, year={2022}, pages={1–10} }","alphadin":"<span style=\"font-variant:small-caps;\">Shah, Zafran Hussain</span> ; <span style=\"font-variant:small-caps;\">Muller, Marcel</span> ; <span style=\"font-variant:small-caps;\">Hammer, Barbara</span> ; <span style=\"font-variant:small-caps;\">Huser, Thomas</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Impact of different loss functions on denoising of microscopic images. 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