[{"type":"conference_speech","keyword":["sourdough","fermentation","near-infrared spectroscopy","support vector machine"],"user_id":"81304","_id":"12021","date_updated":"2025-10-17T18:22:39Z","conference":{"location":"Lemgo","name":"10. GDL Kongress Lebensmitteltechnologie 2024","end_date":"2024-10-12","start_date":"2024-10-10"},"date_created":"2024-11-06T16:53:13Z","citation":{"havard":"J. Segermann, M. Luttmann, A. Blome, S. Feldt, S. Sivanesan, C.-A. Holst, V. Lohweg, B. Frahm, U. Müller, Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, 2024.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Segermann, Jan</span> ; <span style=\"font-variant:small-caps;\">Luttmann, Mario</span> ; <span style=\"font-variant:small-caps;\">Blome, André</span> ; <span style=\"font-variant:small-caps;\">Feldt, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Sivanesan, Sujee</span> ; <span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; u. a.</span>: <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>, 2024","van":"Segermann J, Luttmann M, Blome A, Feldt S, Sivanesan S, Holst CA, et al. Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie. 2024.","apa":"Segermann, J., Luttmann, M., Blome, A., Feldt, S., Sivanesan, S., Holst, C.-A., Lohweg, V., Frahm, B., &#38; Müller, U. (2024). <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>. 10. GDL Kongress Lebensmitteltechnologie 2024, Lemgo.","mla":"Segermann, Jan, et al. <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>. 2024.","short":"J. Segermann, M. Luttmann, A. Blome, S. Feldt, S. Sivanesan, C.-A. Holst, V. Lohweg, B. Frahm, U. Müller, Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, 2024.","ieee":"J. Segermann <i>et al.</i>, <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>. 2024.","bjps":"<b>Segermann J <i>et al.</i></b> (2024) <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>. .","chicago-de":"Segermann, Jan, Mario Luttmann, André Blome, Sebastian Feldt, Sujee Sivanesan, Christoph-Alexander Holst, Volker Lohweg, Björn Frahm und Ulrich Müller. 2024. <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>.","chicago":"Segermann, Jan, Mario Luttmann, André Blome, Sebastian Feldt, Sujee Sivanesan, Christoph-Alexander Holst, Volker Lohweg, Björn Frahm, and Ulrich Müller. <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>, 2024.","ufg":"<b>Segermann, Jan u. a.</b>: Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, o. O. 2024.","ama":"Segermann J, Luttmann M, Blome A, et al. <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>.; 2024."},"status":"public","department":[{"_id":"DEP4028"},{"_id":"DEP5023"},{"_id":"DEP4000"},{"_id":"DEP1308"}],"language":[{"iso":"ger"}],"publication_status":"published","year":"2024","author":[{"last_name":"Segermann","id":"81965","first_name":"Jan","full_name":"Segermann, Jan"},{"full_name":"Luttmann, Mario","last_name":"Luttmann","first_name":"Mario","id":"63215"},{"full_name":"Blome, André","id":"62117","first_name":"André","last_name":"Blome"},{"full_name":"Feldt, Sebastian","last_name":"Feldt","id":"61469","first_name":"Sebastian"},{"first_name":"Sujee","last_name":"Sivanesan","full_name":"Sivanesan, Sujee"},{"full_name":"Holst, Christoph-Alexander","last_name":"Holst","first_name":"Christoph-Alexander","id":"64782"},{"orcid":"0000-0002-3325-7887","full_name":"Lohweg, Volker","last_name":"Lohweg","id":"1804","first_name":"Volker"},{"last_name":"Frahm","first_name":"Björn","id":"45666","full_name":"Frahm, Björn"},{"full_name":"Müller, Ulrich","first_name":"Ulrich","id":"12119","last_name":"Müller"}],"title":"Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie"},{"date_updated":"2023-03-15T13:49:38Z","keyword":["fuzzy  classification","pattern  recognition","single-class  support vector machine","data mining"],"user_id":"45673","_id":"2113","type":"conference","author":[{"full_name":"Hempel, Arne-Jens","first_name":"Arne-Jens","last_name":"Hempel"},{"first_name":"Holger","last_name":"Hähnel","full_name":"Hähnel, Holger"},{"last_name":"Mönks","id":"1825","first_name":"Uwe","full_name":"Mönks, Uwe"},{"full_name":"Lohweg, Volker","first_name":"Volker","id":"1804","last_name":"Lohweg","orcid":"0000-0002-3325-7887"}],"title":"SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication","language":[{"iso":"eng"}],"department":[{"_id":"DEP5023"}],"year":2012,"publication":"BVAu 2012 - 3. Jahresolloquium \"Bildverarbeitung in der Automation\" Centrum Industrial IT, Lemgo,","citation":{"ufg":"<b>Hempel, Arne-Jens et. al. (2012)</b>: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in: <i>BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,</i>.","ama":"Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: <i>BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,</i>. inIT-Institut für industrielle Informationstechnik; 2012.","chicago-de":"Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks und Volker Lohweg. 2012. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: <i>BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,</i>. inIT-Institut für industrielle Informationstechnik.","chicago":"Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks, and Volker Lohweg. “SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” In <i>BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,</i>. inIT-Institut für industrielle Informationstechnik, 2012.","bjps":"<b>Hempel A-J <i>et al.</i></b> (2012) SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. <i>BVAu 2012 - 3. Jahresolloquium ‘Bildverarbeitung in Der Automation’ Centrum Industrial IT, Lemgo,</i>. inIT-Institut für industrielle Informationstechnik.","ieee":"A.-J. Hempel, H. Hähnel, U. Mönks, and V. Lohweg, “SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication,” in <i>BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,</i> 2012.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hempel, Arne-Jens</span> ; <span style=\"font-variant:small-caps;\">Hähnel, Holger</span> ; <span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: <i>BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,</i> : inIT-Institut für industrielle Informationstechnik, 2012","havard":"A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.","short":"A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.","apa":"Hempel, A.-J., Hähnel, H., Mönks, U., &#38; Lohweg, V. (2012). SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In <i>BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,</i>. inIT-Institut für industrielle Informationstechnik.","van":"Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3 Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.","mla":"Hempel, Arne-Jens, et al. “SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” <i>BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,</i> inIT-Institut für industrielle Informationstechnik, 2012."},"status":"public","date_created":"2019-12-03T06:50:52Z","abstract":[{"lang":"eng","text":"In this paper, we sketch an idea for the integration of singleclass support vector machines (SVM) into fuzzy class learning. As result,we  obtain  robust  and  transparent  rule-based  fuzzy  classification  models suitable for online-classification tasks. In particular, the singleclass SVM is employed to extend the applicability of convex fuzzy classifica-tion models to nonconvex datainherent structures. The key point of thisextension  is  the  preservation  of  the  interpretability  for  both,  the  classlearning and the classification process. The feasibility of the approach isdemonstrated in the context of a banknote authentication application."}],"publisher":"inIT-Institut für industrielle Informationstechnik"}]