{"article_number":"3719","language":[{"iso":"eng"}],"_id":"6954","year":"2021","date_updated":"2026-06-02T05:45:14Z","publisher":"Open Journals","doi":"10.21105/joss.03719","intvolume":"         6","status":"public","author":[{"first_name":"Arne","full_name":"Tillmann, Arne","last_name":"Tillmann"},{"last_name":"Thielmann","full_name":"Thielmann, Anton","first_name":"Anton"},{"full_name":"Kant, Gillian","last_name":"Kant","first_name":"Gillian"},{"last_name":"Weisser","orcid":"0000-0003-0616-1027","full_name":"Weisser, Christoph","first_name":"Christoph","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0616-1027/work/216453482","id":"264138"},{"first_name":"Benjamin","full_name":"Säfken, Benjamin","last_name":"Säfken"},{"first_name":"Alexander","last_name":"Silbersdorff","full_name":"Silbersdorff, Alexander"},{"last_name":"Kneib","full_name":"Kneib, Thomas","first_name":"Thomas"}],"citation":{"ieee":"A. Tillmann <i>et al.</i>, “AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data,” <i>Journal of Open Source Software</i>, vol. 6, no. 66, 2021.","alphadin":"<span style=\"font-variant:small-caps;\">Tillmann, Arne</span> ; <span style=\"font-variant:small-caps;\">Thielmann, Anton</span> ; <span style=\"font-variant:small-caps;\">Kant, Gillian</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span> ; <span style=\"font-variant:small-caps;\">Säfken, Benjamin</span> ; <span style=\"font-variant:small-caps;\">Silbersdorff, Alexander</span> ; <span style=\"font-variant:small-caps;\">Kneib, Thomas</span>: AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data. In: <i>Journal of Open Source Software</i> Bd. 6, Open Journals (2021), Nr. 66","apa":"Tillmann, A., Thielmann, A., Kant, G., Weisser, C., Säfken, B., Silbersdorff, A., &#38; Kneib, T. (2021). AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data. <i>Journal of Open Source Software</i>, <i>6</i>(66). <a href=\"https://doi.org/10.21105/joss.03719\">https://doi.org/10.21105/joss.03719</a>","bibtex":"@article{Tillmann_Thielmann_Kant_Weisser_Säfken_Silbersdorff_Kneib_2021, title={AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data}, volume={6}, DOI={<a href=\"https://doi.org/10.21105/joss.03719\">10.21105/joss.03719</a>}, number={663719}, journal={Journal of Open Source Software}, publisher={Open Journals}, author={Tillmann, Arne and Thielmann, Anton and Kant, Gillian and Weisser, Christoph and Säfken, Benjamin and Silbersdorff, Alexander and Kneib, Thomas}, year={2021} }","short":"A. Tillmann, A. Thielmann, G. Kant, C. Weisser, B. Säfken, A. Silbersdorff, T. Kneib, Journal of Open Source Software 6 (2021).","chicago":"Tillmann, Arne, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, and Thomas Kneib. “AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data.” <i>Journal of Open Source Software</i> 6, no. 66 (2021). <a href=\"https://doi.org/10.21105/joss.03719\">https://doi.org/10.21105/joss.03719</a>.","mla":"Tillmann, Arne, et al. “AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data.” <i>Journal of Open Source Software</i>, vol. 6, no. 66, 3719, Open Journals, 2021, doi:<a href=\"https://doi.org/10.21105/joss.03719\">10.21105/joss.03719</a>.","ama":"Tillmann A, Thielmann A, Kant G, et al. AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data. <i>Journal of Open Source Software</i>. 2021;6(66). doi:<a href=\"https://doi.org/10.21105/joss.03719\">10.21105/joss.03719</a>"},"publication_status":"published","issue":"66","publication":"Journal of Open Source Software","main_file_link":[{"open_access":"1"}],"user_id":"220548","oa":"1","type":"journal_article","publication_identifier":{"eissn":["2475-9066"]},"volume":6,"date_created":"2026-06-01T14:01:39Z","title":"AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data","article_type":"review","quality_controlled":"1"}