[{"abstract":[{"text":"Neue Sonderausstellung “A KInd of Art. Künstliche Intelligenz trifft (Weser-)Renaissance” im Weserrenaissance-Museum Schloss Brake \r\n\r\n \r\n\r\n \r\n\r\nWas haben das schillernde Zeitalter der (Weser-)Renaissance und der Bereich der künstlichen Intelligenz bloß miteinander zu tun? Erstaunlich viel! Das innovative Weserrenaissance-Museum Schloss Brake zeigt in seiner topaktuellen Sonderausstellung “A KInd of Art. Künstliche Intelligenz trifft (Weser-)Renaissance” überraschende Parallelen und faszinierende Zusammenhänge auf, die kaum jemand vermuten würde. \r\n\r\n \r\n\r\n \r\n\r\n“Zusammen mit der TH OWL und Fraunhofer IOSB-INA wagen wir den Sprung von der Zwei- in die Dreidimensionalität und zeigen Deutschlands erste Museumsausstellung mit KI-Skulpturen, die aus historischen Exponaten entwickelt wurden. Diese weisen allesamt einen unmittelbaren Bezug zur (Weser-)Renaissance auf und kombinieren die Vergangenheit und die Zukunft aufs Vortrefflichste miteinander”, sagt Museumsleiterin Silvia Herrmann. Die KI-Skulpturen stammen dabei allesamt aus einem Master-Kurs-Projekt des Fachbereiches Medienproduktion unter der Leitung von Prof. Anke Stache.\r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\n“Hätten Sie beispielsweise gewusst, dass das weltberühmte Universalgenie Leonardo da Vinci bereits vor mehr als 500 Jahren einen Automaten entwickelt hat? Es ist uns gelungen, ein nachgebautes und bewegliches Modell seines ‘Roboter-Ritters’ als Leihgabe für die Ausstellung zu gewinnen”, sagt die Kuratorin Dr. Susanne Hilker. Passend dazu treffen Leonardo da Vinci und der Roboter Ina in Form eines Comics fiktiv aufeinander und unterhalten sich über die Innovationen ihrer jeweiligen Zeit.\r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\nZu bestaunen sind auch zahlreiche kunsthistorische Originale wie beispielsweise “Minerva und die Musen auf dem Helikon” von Hans Rottenhammer oder “Die Tempelreinigung” von Hans und Paul Vredeman de Vries. Auch hierbei gibt es spannende Verbindungen zum Gebiet der künstlichen Intelligenz.\r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\nFreuen können sich die Besucher auch auf Mitmachstationen wie eine interaktive Klanginstallation, ein Ergometer, mit dessen Hilfe sie herausfinden können, wie viel Energie die künstliche Intelligenz für ihre Prozesse benötigt, und auf eine Fotobox. \r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\nApropos Fotos: Im Rahmen dieser Ausstellung stellt das Museum auch originelle Kunstdoppelgänger aus. Darüber hinaus sind im “Freiraum” die 20 besten KI-generierten Bilder zu sehen, die im Rahmen eines Wettbewerbs des CIIT (Centrum Industrial IT) entstanden sind. Schlussendlich wird den Besuchern zur Abstimmung die Frage aller Fragen gestellt: Kann KI Kunst? \r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\n“Wir möchten mit dieser Sonderausstellung zeigen, wie innovativ, interessant und relevant Museen sein können. Ganz bewusst greifen wir dieses topaktuelle Thema auf. Wir möchten in puncto Künstliche Intelligenz zum Nachdenken und zur Diskussion anregen. Darüber hinaus schlagen wir eine Brücke zwischen Vergangenheit, Gegenwart und Zukunft und eröffnen neue Perspektiven”, sagt Silvia Herrmann.\r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\nPassend zur neuen Sonderausstellung bietet das Weserrenaissance-Museum Schloss Brake kurzweilige Mitmachprogramme für Kindergärten und Schulen an. Des Weiteren stehen zahlreiche Veranstaltungen mit Bezug zum Thema KI auf dem Programm. Alle Infos unter www.museum-schloss-brake.de\r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\nUnd wer von künstlicher Intelligenz nicht genug bekommen kann, macht einen Ausflug zum Kooperationspartner, der “Eulenburg”. Das Universitäts- und Stadtmuseum Rinteln zeigt ebenfalls eine Ausstellung mit KI-generierten Skulpturen.\r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\nDie Ausstellung wird gefördert vom Ministerium für Kultur und Wissenschaft des Landes NRW und dem Regionalen Kultur Programm NRW. Die Ausstellung findet in Kooperation mit folgenden Partnern statt: Fraunhofer IOSB-INA, Technische Hochschule OWL, Kl Akademie OWL, inIT TH OWL, Bundesministerium für Forschung, Technologie und Raumfahrt, KreativInstitut.OWL, Trinnovation OWL, Hochschule für Musik Detmold, Fachbereich Ingenieurwissenschaften und Mathematik der Hochschule Bielefeld HSBI, LWL Museum Ziegelei Lage und wird unterstützt von den „Frauen für Lemgo”.\r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\nDas Weserrenaissance-Museum Schloss Brake dankt auch seinem Träger, dem Landesverband Lippe, den Mitfinanziers, dem LWL sowie der Alten Hansestadt Lemgo, sowie den Sponsoren, der Lippischen Landesbrandversicherung AG und der Sparkasse Lemgo, für die Unterstützung!\r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\nDer Eintritt in die neue Sonderausstellung im Weserrenaissance-Museum Schloss Brake beträgt 7 Euro. Kinder und Jugendliche bis 18 Jahre haben freien Eintritt. Die Ausstellung kann zwischen dem 16. September 2025 und 01. Februar 2026 dienstags bis sonntags von 10 bis 18 Uhr besichtigt werden.\r\n\r\n (https://museum-schloss-brake.de/sonderausstellung/)","lang":"ger"}],"citation":{"ufg":"<b>Lange-Hegermann, Markus</b>: A KInd of Art, Lemgo 2025.","havard":"M. Lange-Hegermann, A KInd of Art, Landesverband Lippe, Lemgo, 2025.","apa":"Lange-Hegermann, M. (2025). <i>A KInd of Art</i>. Landesverband Lippe.","ama":"Lange-Hegermann M. <i>A KInd of Art</i>. Landesverband Lippe; 2025.","van":"Lange-Hegermann M. A KInd of Art. Lemgo: Landesverband Lippe; 2025.","ieee":"M. Lange-Hegermann, <i>A KInd of Art</i>. Lemgo: Landesverband Lippe, 2025.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span>: <i>A KInd of Art</i>. Lemgo : Landesverband Lippe, 2025","chicago":"Lange-Hegermann, Markus. <i>A KInd of Art</i>. Lemgo: Landesverband Lippe, 2025.","short":"M. Lange-Hegermann, A KInd of Art, Landesverband Lippe, Lemgo, 2025.","mla":"Lange-Hegermann, Markus. <i>A KInd of Art</i>. Landesverband Lippe, 2025.","chicago-de":"Lange-Hegermann, Markus. 2025. <i>A KInd of Art</i>. Lemgo: Landesverband Lippe.","bjps":"<b>Lange-Hegermann M</b> (2025) <i>A KInd of Art</i>. Lemgo: Landesverband Lippe."},"_id":"13543","type":"exhibition","publisher":"Landesverband Lippe","status":"public","author":[{"full_name":"Lange-Hegermann, Markus","id":"71761","last_name":"Lange-Hegermann","first_name":"Markus"}],"place":"Lemgo","department":[{"_id":"DEP5023"},{"_id":"DEP5015"}],"title":"A KInd of Art","date_created":"2026-03-23T19:15:25Z","conference":{"start_date":"2025-09-16","end_date":"2026-02-01"},"user_id":"83781","date_updated":"2026-03-24T07:34:51Z","keyword":["KI","Kunst","Weserrenaissance"],"year":"2025","alternative_title":["Ko-Veranstalter und Organisator einiger Ausstellungsstücke"]},{"year":"2024","date_updated":"2025-10-17T18:36:48Z","keyword":["surplus yeast","membrane filtration","microfiltration"],"ddc":["600"],"user_id":"81304","date_created":"2024-06-28T12:57:01Z","conference":{"start_date":"2024-05-26","location":"Lille","end_date":"2024-05-30","name":"39th EBC Congress 2024"},"publication_status":"published","department":[{"_id":"DEP4028"},{"_id":"DEP5023"},{"_id":"DEP4018"},{"_id":"DEP1308"}],"title":"Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast ","language":[{"iso":"eng"}],"has_accepted_license":"1","author":[{"id":"81622","full_name":"Trilling-Haasler, Marc","last_name":"Trilling-Haasler","first_name":"Marc","orcid":"0000-0002-3685-6383"},{"first_name":"Jörn","last_name":"Tebbe","id":"85958","full_name":"Tebbe, Jörn"},{"first_name":"Markus","last_name":"Lange-Hegermann","id":"71761","full_name":"Lange-Hegermann, Markus"},{"last_name":"Schneider","full_name":"Schneider, Jan","id":"13209","orcid":"0000-0001-6401-8873","first_name":"Jan"}],"status":"public","type":"conference_poster","_id":"11605","citation":{"apa":"Trilling-Haasler, M., Tebbe, J., Lange-Hegermann, M., &#38; Schneider, J. (2024). <i>Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast </i>. 39th EBC Congress 2024, Lille.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Trilling-Haasler, Marc</span> ; <span style=\"font-variant:small-caps;\">Tebbe, Jörn</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Schneider, Jan</span>: <i>Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast </i>, 2024","chicago":"Trilling-Haasler, Marc, Jörn Tebbe, Markus Lange-Hegermann, and Jan Schneider. <i>Yeast Filtration with Rotating Membrane Filtration –  a New Approach for an Economical Recovery of Beer Form Surplus Yeast </i>, 2024.","ama":"Trilling-Haasler M, Tebbe J, Lange-Hegermann M, Schneider J. <i>Yeast Filtration with Rotating Membrane Filtration –  a New Approach for an Economical Recovery of Beer Form Surplus Yeast </i>.; 2024.","short":"M. Trilling-Haasler, J. Tebbe, M. Lange-Hegermann, J. Schneider, Yeast Filtration with Rotating Membrane Filtration –  a New Approach for an Economical Recovery of Beer Form Surplus Yeast , 2024.","mla":"Trilling-Haasler, Marc, et al. <i>Yeast Filtration with Rotating Membrane Filtration –  a New Approach for an Economical Recovery of Beer Form Surplus Yeast </i>. 2024.","ufg":"<b>Trilling-Haasler, Marc u. a.</b>: Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast , o. O. 2024.","havard":"M. Trilling-Haasler, J. Tebbe, M. Lange-Hegermann, J. Schneider, Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast , 2024.","bjps":"<b>Trilling-Haasler M <i>et al.</i></b> (2024) <i>Yeast Filtration with Rotating Membrane Filtration –  a New Approach for an Economical Recovery of Beer Form Surplus Yeast </i>. .","chicago-de":"Trilling-Haasler, Marc, Jörn Tebbe, Markus Lange-Hegermann und Jan Schneider. 2024. <i>Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast </i>.","van":"Trilling-Haasler M, Tebbe J, Lange-Hegermann M, Schneider J. Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast . 2024.","ieee":"M. Trilling-Haasler, J. Tebbe, M. Lange-Hegermann, and J. Schneider, <i>Yeast filtration with rotating membrane filtration –  a new approach for an economical recovery of beer form surplus yeast </i>. 2024."},"quality_controlled":"1","abstract":[{"text":"The recovery of beer from surplus yeast is to date an economical business case only for large breweries. In this work, a here novel process with rotating ceramic microfiltration membranes is used. This allows a very high lift force to be achieved while still maintaining a small transmembrane pressure to reduce the formation of a fouling layer. The results show that long running times (between cleanings) are possible, limited only by the change in the rheological properties of the suspension due to thickening. From a so-called \"Inflexion Point\" (IF), the filtration behavior changes abruptly. The aim of the work was therefore to use machine learning aided modeling to predict the IF from experimental data in order to optimize the process and to achieve the most economical conditions. The economic efficiency depends on the space-time yields. The results show that a significant improvement in economic efficiency could be possible with the help of modeling and this special kind of filtration technology. However, the economic efficiency depends finally on the conditions in each individual brewery.","lang":"eng"}]},{"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://proceedings.mlr.press/v238/tebbe24a.html","open_access":"1"}],"date_created":"2025-04-17T07:58:19Z","user_id":"83781","date_updated":"2025-06-25T12:47:19Z","year":"2024","abstract":[{"lang":"eng","text":"Active learning of physical systems must commonly respect practical safety constraints, which restricts the exploration of the design space. Gaussian Processes (GPs) and their calibrated uncertainty estimations are widely used for this purpose. In many technical applications the design space is explored via continuous trajectories, along which the safety needs to be assessed. This is particularly challenging for strict safety requirements in GP methods, as it employs computationally expensive Monte-Carlo sampling of high quantiles. We address these challenges by providing provable safety bounds based on the adaptively sampled median of the supremum of the posterior GP. Our method significantly reduces the number of samples required for estimating high safety probabilities, resulting in faster evaluation without sacrificing accuracy and exploration speed. The effectiveness of our safe active learning approach is demonstrated through extensive simulations and validated using a real-world engine example."}],"_id":"12815","type":"conference_editor_article","page":"1333-1341","status":"public","author":[{"first_name":"Jörn","last_name":"Tebbe","id":"85958","full_name":"Tebbe, Jörn"},{"first_name":"Christoph","last_name":"Zimmer","full_name":"Zimmer, Christoph"},{"first_name":"Ansgar","full_name":"Steland, Ansgar","last_name":"Steland"},{"first_name":"Markus","full_name":"Lange-Hegermann, Markus","id":"71761","last_name":"Lange-Hegermann"},{"first_name":"Fabian","full_name":"Mies, Fabian","last_name":"Mies"}],"title":"Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning","department":[{"_id":"DEP5000"},{"_id":"DEP5023"}],"publication_identifier":{"issn":["2640-3498"]},"publication_status":"published","publication":"International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238","conference":{"start_date":"2024-05-02","location":"Valencia, SPAIN","name":"27th International Conference on Artificial Intelligence and Statistics (AISTATS)"},"oa":"1","citation":{"apa":"Tebbe, J., Zimmer, C., Steland, A., Lange-Hegermann, M., &#38; Mies, F. (2024). Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. In <i>International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238</i> (pp. 1333–1341). MLResearchPress .","ama":"Tebbe J, Zimmer C, Steland A, Lange-Hegermann M, Mies F. <i>Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning</i>. MLResearchPress ; 2024:1333-1341.","ufg":"<b>Tebbe, Jörn u. a.</b>: Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning, o. O. 2024 (Proceedings of Machine Learning Research).","havard":"J. Tebbe, C. Zimmer, A. Steland, M. Lange-Hegermann, F. Mies, Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning, MLResearchPress , 2024.","ieee":"J. Tebbe, C. Zimmer, A. Steland, M. Lange-Hegermann, and F. Mies, <i>Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning</i>. MLResearchPress , 2024, pp. 1333–1341.","van":"Tebbe J, Zimmer C, Steland A, Lange-Hegermann M, Mies F. Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238. MLResearchPress ; 2024. (Proceedings of Machine Learning Research).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Tebbe, Jörn</span> ; <span style=\"font-variant:small-caps;\">Zimmer, Christoph</span> ; <span style=\"font-variant:small-caps;\">Steland, Ansgar</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Mies, Fabian</span>: <i>Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning</i>, <i>Proceedings of Machine Learning Research</i> : MLResearchPress , 2024","mla":"Tebbe, Jörn, et al. “Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning.” <i>International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238</i>, MLResearchPress , 2024, pp. 1333–41.","short":"J. Tebbe, C. Zimmer, A. Steland, M. Lange-Hegermann, F. Mies, Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning, MLResearchPress , 2024.","chicago":"Tebbe, Jörn, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, and Fabian Mies. <i>Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning</i>. <i>International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238</i>. Proceedings of Machine Learning Research. MLResearchPress , 2024.","bjps":"<b>Tebbe J <i>et al.</i></b> (2024) <i>Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning</i>. MLResearchPress .","chicago-de":"Tebbe, Jörn, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann und Fabian Mies. 2024. <i>Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning</i>. <i>International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238</i>. Proceedings of Machine Learning Research. MLResearchPress ."},"publisher":"MLResearchPress ","series_title":"Proceedings of Machine Learning Research"},{"volume":310,"_id":"12816","type":"conference_speech","page":"1388-1389","abstract":[{"text":"Medical images need annotations with high-level semantic descriptors, so that domain experts can search for the desired dataset among an enormous volume of visual media within a Medical Data Integration Center. This article introduces a processing pipeline for storing and annotating DICOM and PNG imaging data by applying Elasticsearch, S3 and Deep Learning technologies. The proposed method processes both DICOM and PNG images to generate annotations. These image annotations are indexed in Elasticsearch with the corresponding raw data paths, where they can be retrieved and analyzed.","lang":"eng"}],"pmid":"1","status":"public","author":[{"full_name":"Cheng, Ka Yung","last_name":"Cheng","first_name":"Ka Yung"},{"full_name":"Pazmino, Santiago","last_name":"Pazmino","first_name":"Santiago"},{"first_name":"Bjoern","last_name":"Bergh","full_name":"Bergh, Bjoern"},{"id":"71761","full_name":"Lange-Hegermann, Markus","last_name":"Lange-Hegermann","first_name":"Markus"},{"full_name":"Schreiweis, Bjorn","last_name":"Schreiweis","first_name":"Bjorn"}],"external_id":{"pmid":["38269660"]},"date_created":"2025-04-17T08:25:27Z","language":[{"iso":"eng"}],"date_updated":"2025-06-25T13:05:17Z","year":"2024","user_id":"83781","citation":{"ieee":"K. Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, and B. Schreiweis, <i>An Image Retrieval Pipeline in a Medical Data Integration Center.</i>, vol. 310. IOS Press, Incorporated, 2024, pp. 1388–1389. doi: <a href=\"https://doi.org/10.3233/SHTI231208\">10.3233/SHTI231208</a>.","van":"Cheng KY, Pazmino S, Bergh B, Lange-Hegermann M, Schreiweis B. An Image Retrieval Pipeline in a Medical Data Integration Center. 19th World Congress on Medical and Health Informatics (MEDINFO). IOS Press, Incorporated; 2024. (Studies in Health Technology and Informatics; vol. 310).","ufg":"<b>Cheng, Ka Yung u. a.</b>: An Image Retrieval Pipeline in a Medical Data Integration Center., Bd. 310, o. O. 2024 (Studies in Health Technology and Informatics).","havard":"K.Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, B. Schreiweis, An Image Retrieval Pipeline in a Medical Data Integration Center., IOS Press, Incorporated, 2024.","apa":"Cheng, K. Y., Pazmino, S., Bergh, B., Lange-Hegermann, M., &#38; Schreiweis, B. (2024). An Image Retrieval Pipeline in a Medical Data Integration Center. In <i>19th World Congress on Medical and Health Informatics (MEDINFO)</i> (Vol. 310, pp. 1388–1389). IOS Press, Incorporated. <a href=\"https://doi.org/10.3233/SHTI231208\">https://doi.org/10.3233/SHTI231208</a>","ama":"Cheng KY, Pazmino S, Bergh B, Lange-Hegermann M, Schreiweis B. <i>An Image Retrieval Pipeline in a Medical Data Integration Center.</i> Vol 310. IOS Press, Incorporated; 2024:1388-1389. doi:<a href=\"https://doi.org/10.3233/SHTI231208\">10.3233/SHTI231208</a>","bjps":"<b>Cheng KY <i>et al.</i></b> (2024) <i>An Image Retrieval Pipeline in a Medical Data Integration Center.</i> IOS Press, Incorporated.","chicago-de":"Cheng, Ka Yung, Santiago Pazmino, Bjoern Bergh, Markus Lange-Hegermann und Bjorn Schreiweis. 2024. <i>An Image Retrieval Pipeline in a Medical Data Integration Center.</i> <i>19th World Congress on Medical and Health Informatics (MEDINFO)</i>. Bd. 310. Studies in Health Technology and Informatics. IOS Press, Incorporated. doi:<a href=\"https://doi.org/10.3233/SHTI231208\">10.3233/SHTI231208</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Cheng, Ka Yung</span> ; <span style=\"font-variant:small-caps;\">Pazmino, Santiago</span> ; <span style=\"font-variant:small-caps;\">Bergh, Bjoern</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Schreiweis, Bjorn</span>: <i>An Image Retrieval Pipeline in a Medical Data Integration Center.</i>, <i>Studies in Health Technology and Informatics</i>. Bd. 310 : IOS Press, Incorporated, 2024","mla":"Cheng, Ka Yung, et al. “An Image Retrieval Pipeline in a Medical Data Integration Center.” <i>19th World Congress on Medical and Health Informatics (MEDINFO)</i>, vol. 310, IOS Press, Incorporated, 2024, pp. 1388–89, <a href=\"https://doi.org/10.3233/SHTI231208\">https://doi.org/10.3233/SHTI231208</a>.","short":"K.Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, B. Schreiweis, An Image Retrieval Pipeline in a Medical Data Integration Center., IOS Press, Incorporated, 2024.","chicago":"Cheng, Ka Yung, Santiago Pazmino, Bjoern Bergh, Markus Lange-Hegermann, and Bjorn Schreiweis. <i>An Image Retrieval Pipeline in a Medical Data Integration Center.</i> <i>19th World Congress on Medical and Health Informatics (MEDINFO)</i>. Vol. 310. Studies in Health Technology and Informatics. IOS Press, Incorporated, 2024. <a href=\"https://doi.org/10.3233/SHTI231208\">https://doi.org/10.3233/SHTI231208</a>."},"publisher":"IOS Press, Incorporated","intvolume":"       310","series_title":"Studies in Health Technology and Informatics","publication":"19th World Congress on Medical and Health Informatics (MEDINFO)","conference":{"start_date":"2023-08-08","location":"Sydney, AUSTRALIA","end_date":"2023-08-12","name":"19th World Congress on Medical and Health Informatics (MEDINFO)"},"department":[{"_id":"DEP5023"}],"title":"An Image Retrieval Pipeline in a Medical Data Integration Center.","publication_status":"published","publication_identifier":{"eisbn":["978-1-64368-457-4"],"eissn":["1879-8365"],"isbn":["978-1-64368-456-7"],"issn":["0926-9630"]},"doi":"10.3233/SHTI231208","keyword":["Medical image retrieval","data lake","DICOM","deep learning","elasticsearch"]},{"year":"2024","date_updated":"2025-06-26T08:58:59Z","user_id":"83781","external_id":{"isi":["001257361300001"],"pmid":["38975287"]},"date_created":"2025-04-22T13:32:38Z","language":[{"iso":"eng"}],"place":"Amsterdam [u.a.]","pmid":"1","author":[{"first_name":"Ka Yung","full_name":"Cheng, Ka Yung","last_name":"Cheng"},{"id":"71761","full_name":"Lange-Hegermann, Markus","last_name":"Lange-Hegermann","first_name":"Markus"},{"full_name":"Hövener, Jan-Bernd","last_name":"Hövener","first_name":"Jan-Bernd"},{"first_name":"Björn","last_name":"Schreiweis","full_name":"Schreiweis, Björn"}],"status":"public","_id":"12822","page":"434-450","type":"scientific_journal_article","volume":24,"abstract":[{"text":"A medical data integration center integrates a large volume of medical images from clinical departments, including X-rays, CT scans, and MRI scans. Ideally, all images should be indexed appropriately with standard clinical terms. However, some images have incorrect or missing annotations, which creates challenges in searching and integrating data centrally. To address this issue, accurate and meaningful descriptors are needed for indexing fields, enabling users to efficiently search for desired images and integrate them with international standards. This paper aims to provide concise annotation for missing or incorrectly indexed fields, incorporating essential instance -level information such as radiology modalities (e.g., X-rays), anatomical regions (e.g., chest), and body orientations (e.g., lateral) using a Deep Learning classification model - ResNet50. To demonstrate the capabilities of our algorithm in generating annotations for indexing fields, we conducted three experiments using two opensource datasets, the ROCO dataset, and the IRMA dataset, along with a custom dataset featuring SNOMED CT labels. While the outcomes of these experiments are satisfactory (Precision of >75%) for less critical tasks and serve as a valuable testing ground for image retrieval, they also underscore the need for further exploration of potential challenges. This essay elaborates on the identified issues and presents well-founded recommendations for refining and advancing our proposed approach.","lang":"eng"}],"keyword":["DICOM images","Medical image captioning","Medical image interchange","SNOMED CT body structure"],"isi":"1","publication":"Computational and Structural Biotechnology Journal","doi":"10.1016/j.csbj.2024.06.006","publication_status":"published","publication_identifier":{"issn":["2001-0370"]},"title":"Instance-level medical image classification for text-based retrieval in a medical data integration center","department":[{"_id":"DEP5023"}],"intvolume":"        24","publisher":"Elsevier BV","citation":{"bjps":"<b>Cheng KY <i>et al.</i></b> (2024) Instance-Level Medical Image Classification for Text-Based Retrieval in a Medical Data Integration Center. <i>Computational and Structural Biotechnology Journal</i> <b>24</b>, 434–450.","chicago-de":"Cheng, Ka Yung, Markus Lange-Hegermann, Jan-Bernd Hövener und Björn Schreiweis. 2024. Instance-level medical image classification for text-based retrieval in a medical data integration center. <i>Computational and Structural Biotechnology Journal</i> 24: 434–450. doi:<a href=\"https://doi.org/10.1016/j.csbj.2024.06.006\">10.1016/j.csbj.2024.06.006</a>, .","short":"K.Y. Cheng, M. Lange-Hegermann, J.-B. Hövener, B. Schreiweis, Computational and Structural Biotechnology Journal 24 (2024) 434–450.","chicago":"Cheng, Ka Yung, Markus Lange-Hegermann, Jan-Bernd Hövener, and Björn Schreiweis. “Instance-Level Medical Image Classification for Text-Based Retrieval in a Medical Data Integration Center.” <i>Computational and Structural Biotechnology Journal</i> 24 (2024): 434–50. <a href=\"https://doi.org/10.1016/j.csbj.2024.06.006\">https://doi.org/10.1016/j.csbj.2024.06.006</a>.","mla":"Cheng, Ka Yung, et al. “Instance-Level Medical Image Classification for Text-Based Retrieval in a Medical Data Integration Center.” <i>Computational and Structural Biotechnology Journal</i>, vol. 24, 2024, pp. 434–50, <a href=\"https://doi.org/10.1016/j.csbj.2024.06.006\">https://doi.org/10.1016/j.csbj.2024.06.006</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Cheng, Ka Yung</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Hövener, Jan-Bernd</span> ; <span style=\"font-variant:small-caps;\">Schreiweis, Björn</span>: Instance-level medical image classification for text-based retrieval in a medical data integration center. In: <i>Computational and Structural Biotechnology Journal</i> Bd. 24. Amsterdam [u.a.], Elsevier BV (2024), S. 434–450","van":"Cheng KY, Lange-Hegermann M, Hövener JB, Schreiweis B. Instance-level medical image classification for text-based retrieval in a medical data integration center. Computational and Structural Biotechnology Journal. 2024;24:434–50.","ieee":"K. Y. Cheng, M. Lange-Hegermann, J.-B. Hövener, and B. Schreiweis, “Instance-level medical image classification for text-based retrieval in a medical data integration center,” <i>Computational and Structural Biotechnology Journal</i>, vol. 24, pp. 434–450, 2024, doi: <a href=\"https://doi.org/10.1016/j.csbj.2024.06.006\">10.1016/j.csbj.2024.06.006</a>.","ama":"Cheng KY, Lange-Hegermann M, Hövener JB, Schreiweis B. Instance-level medical image classification for text-based retrieval in a medical data integration center. <i>Computational and Structural Biotechnology Journal</i>. 2024;24:434-450. doi:<a href=\"https://doi.org/10.1016/j.csbj.2024.06.006\">10.1016/j.csbj.2024.06.006</a>","apa":"Cheng, K. Y., Lange-Hegermann, M., Hövener, J.-B., &#38; Schreiweis, B. (2024). Instance-level medical image classification for text-based retrieval in a medical data integration center. <i>Computational and Structural Biotechnology Journal</i>, <i>24</i>, 434–450. <a href=\"https://doi.org/10.1016/j.csbj.2024.06.006\">https://doi.org/10.1016/j.csbj.2024.06.006</a>","havard":"K.Y. Cheng, M. Lange-Hegermann, J.-B. Hövener, B. Schreiweis, Instance-level medical image classification for text-based retrieval in a medical data integration center, Computational and Structural Biotechnology Journal. 24 (2024) 434–450.","ufg":"<b>Cheng, Ka Yung u. a.</b>: Instance-level medical image classification for text-based retrieval in a medical data integration center, in: <i>Computational and Structural Biotechnology Journal</i> 24 (2024),  S. 434–450."}},{"_id":"11381","type":"conference_poster","citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: <i>A systematic, model-based workflow for risk-based decision making in upstream development</i> : DECHEMA e.V.","short":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development, DECHEMA e.V., n.d.","chicago":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann, and Björn Frahm. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. DECHEMA e.V., n.d.","mla":"Hernández Rodriguez, Tanja, et al. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. DECHEMA e.V.","chicago-de":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann und Björn Frahm. <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. DECHEMA e.V.","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (n.d.) <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. DECHEMA e.V.","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. u. J. .","havard":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, DECHEMA e.V., n.d.","apa":"Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., &#38; Frahm, B. (n.d.). <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.","ama":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. DECHEMA e.V.","van":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. 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DECHEMA e.V."},"publisher":"DECHEMA e.V.","author":[{"first_name":"Tanja","last_name":"Hernández Rodriguez","full_name":"Hernández Rodriguez, Tanja","id":"52466"},{"orcid":"https://orcid.org/0000-0002-0502-8032","first_name":"Selina","last_name":"Ramm","full_name":"Ramm, Selina","id":"68713"},{"first_name":"Markus","full_name":"Lange-Hegermann, Markus","id":"71761","last_name":"Lange-Hegermann"},{"full_name":"Frahm, Björn","id":"45666","last_name":"Frahm","first_name":"Björn"}],"status":"public","publication_status":"accepted","department":[{"_id":"DEP4000"}],"title":"A systematic, model-based workflow for risk-based decision making in upstream development","language":[{"iso":"eng"}],"date_created":"2024-04-26T06:18:20Z","conference":{"end_date":"2023-09-21","location":"Berlin, Germany","start_date":"2023-09-17","name":"14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology"},"user_id":"83781","date_updated":"2024-08-02T13:57:27Z","year":"2023"},{"year":"2023","date_updated":"2024-05-21T09:06:45Z","user_id":"83781","conference":{"name":"14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology","end_date":"2023-09-21","location":"Berlin, Germany","start_date":"2023-09-17"},"date_created":"2024-04-26T06:40:20Z","language":[{"iso":"eng"}],"publication_status":"published","department":[{"_id":"DEP4000"}],"title":"Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture","author":[{"first_name":"Tanja","last_name":"Hernández Rodriguez","full_name":"Hernández Rodriguez, Tanja","id":"52466"},{"first_name":"Christoph","full_name":"Posch, Christoph","last_name":"Posch"},{"first_name":"Ralf","full_name":"Pörtner, Ralf","last_name":"Pörtner"},{"first_name":"Markus","id":"71761","full_name":"Lange-Hegermann, Markus","last_name":"Lange-Hegermann"},{"full_name":"Wurm, Florian M.","last_name":"Wurm","first_name":"Florian M."},{"last_name":"Frahm","full_name":"Frahm, Björn","id":"45666","first_name":"Björn"}],"status":"public","publisher":"DECHEMA e.V.","_id":"11383","type":"conference_speech","citation":{"ama":"Hernández Rodriguez T, Posch C, Pörtner R, Lange-Hegermann M, Wurm FM, Frahm B. <i>Model-Assisted Design Strategies for Bioprocesses – Advanced Statistical Methods in Industrial Upstream Cell Culture</i>. DECHEMA e.V.; 2023.","apa":"Hernández Rodriguez, T., Posch, C., Pörtner, R., Lange-Hegermann, M., Wurm, F. M., &#38; Frahm, B. (2023). <i>Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture</i>. 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.","havard":"T. Hernández Rodriguez, C. Posch, R. Pörtner, M. Lange-Hegermann, F.M. Wurm, B. Frahm, Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture, DECHEMA e.V., 2023.","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture, o. O. 2023.","ieee":"T. Hernández Rodriguez, C. Posch, R. Pörtner, M. Lange-Hegermann, F. M. Wurm, and B. Frahm, <i>Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture</i>. DECHEMA e.V., 2023.","van":"Hernández Rodriguez T, Posch C, Pörtner R, Lange-Hegermann M, Wurm FM, Frahm B. Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture. DECHEMA e.V.; 2023.","mla":"Hernández Rodriguez, Tanja, et al. <i>Model-Assisted Design Strategies for Bioprocesses – Advanced Statistical Methods in Industrial Upstream Cell Culture</i>. DECHEMA e.V., 2023.","chicago":"Hernández Rodriguez, Tanja, Christoph Posch, Ralf Pörtner, Markus Lange-Hegermann, Florian M. Wurm, and Björn Frahm. <i>Model-Assisted Design Strategies for Bioprocesses – Advanced Statistical Methods in Industrial Upstream Cell Culture</i>. DECHEMA e.V., 2023.","short":"T. Hernández Rodriguez, C. Posch, R. Pörtner, M. Lange-Hegermann, F.M. Wurm, B. Frahm, Model-Assisted Design Strategies for Bioprocesses – Advanced Statistical Methods in Industrial Upstream Cell Culture, DECHEMA e.V., 2023.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Posch, Christoph</span> ; <span style=\"font-variant:small-caps;\">Pörtner, Ralf</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Wurm, Florian M.</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: <i>Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture</i> : DECHEMA e.V., 2023","chicago-de":"Hernández Rodriguez, Tanja, Christoph Posch, Ralf Pörtner, Markus Lange-Hegermann, Florian M. Wurm und Björn Frahm. 2023. <i>Model-assisted design strategies for bioprocesses – Advanced statistical methods in industrial upstream cell culture</i>. DECHEMA e.V.","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (2023) <i>Model-Assisted Design Strategies for Bioprocesses – Advanced Statistical Methods in Industrial Upstream Cell Culture</i>. DECHEMA e.V."}},{"publication_status":"published","department":[{"_id":"DEP4000"}],"title":"A systematic, model-based workflow for risk-based decision making in upstream development","language":[{"iso":"eng"}],"main_file_link":[{"url":"http://www.apz-rl.de/BioProcessingDays_2023/002_download/BPDs_2023_Tagungsbuch_Titel.pdf","open_access":"1"}],"date_created":"2023-08-08T14:54:44Z","conference":{"end_date":"2023-03-01","start_date":"2023-02-27","location":"Recklinghausen, Germany","name":"BioProcessingDays 2023"},"user_id":"83781","year":"2023","date_updated":"2024-08-02T09:41:01Z","oa":"1","_id":"10201","type":"conference_poster","citation":{"apa":"Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., &#38; Frahm, B. (2023). <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. BioProcessingDays 2023, Recklinghausen, Germany.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>, 2023","short":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development, 2023.","ama":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>.; 2023.","chicago":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann, and Björn Frahm. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>, 2023.","mla":"Hernández Rodriguez, Tanja, et al. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. 2023.","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. 2023.","havard":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, 2023.","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (2023) <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. .","chicago-de":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann und Björn Frahm. 2023. <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>.","van":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based workflow for risk-based decision making in upstream development. 2023.","ieee":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, and B. Frahm, <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. 2023."},"author":[{"id":"52466","full_name":"Hernández Rodriguez, Tanja","last_name":"Hernández Rodriguez","first_name":"Tanja"},{"first_name":"Selina","orcid":"https://orcid.org/0000-0002-0502-8032","id":"68713","full_name":"Ramm, Selina","last_name":"Ramm"},{"id":"71761","full_name":"Lange-Hegermann, Markus","last_name":"Lange-Hegermann","first_name":"Markus"},{"first_name":"Björn","full_name":"Frahm, Björn","id":"45666","last_name":"Frahm"}],"status":"public"},{"keyword":["Spectroscopy","Production systems","Filtration","Velocity control","Optimization methods","Cyber-physical systems","Nonhomogeneous media"],"publication":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","conference":{"start_date":"2023-07-17","location":"Lemgo","end_date":"2023-07-20","name":"21st International Conference on Industrial Informatics ; INDIN 2023"},"title":"Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system","department":[{"_id":"DEP4018"},{"_id":"DEP1308"},{"_id":"DEP4028"}],"publication_identifier":{"eisbn":["978-1-6654-9313-0"],"issn":["1935-4576"],"isbn":["978-1-6654-9314-7 "]},"publication_status":"published","doi":"10.1109/INDIN51400.2023.10217913","citation":{"chicago-de":"Tebbe, Jörn, Thomas Pawlik, Marc Trilling-Haasler, Jannis Löbner, Markus Lange-Hegermann und Jan Schneider. 2023. <i>Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system</i>. Hg. von Jürgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, und Institute of Electrical and Electronics Engineers . <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE. doi:<a href=\"https://doi.org/10.1109/INDIN51400.2023.10217913\">10.1109/INDIN51400.2023.10217913</a>, .","bjps":"<b>Tebbe J <i>et al.</i></b> (2023) <i>Holistic Optimization of a Dynamic Cross-Flow Filtration Process towards a Cyber-Physical System</i>, Jasperneite J et al. (eds). [Piscataway, NJ]: IEEE.","mla":"Tebbe, Jörn, et al. “Holistic Optimization of a Dynamic Cross-Flow Filtration Process towards a Cyber-Physical System.” <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>, edited by Jürgen Jasperneite et al., IEEE, 2023, pp. 1–7, <a href=\"https://doi.org/10.1109/INDIN51400.2023.10217913\">https://doi.org/10.1109/INDIN51400.2023.10217913</a>.","chicago":"Tebbe, Jörn, Thomas Pawlik, Marc Trilling-Haasler, Jannis Löbner, Markus Lange-Hegermann, and Jan Schneider. <i>Holistic Optimization of a Dynamic Cross-Flow Filtration Process towards a Cyber-Physical System</i>. Edited by Jürgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, and Institute of Electrical and Electronics Engineers . <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE, 2023. <a href=\"https://doi.org/10.1109/INDIN51400.2023.10217913\">https://doi.org/10.1109/INDIN51400.2023.10217913</a>.","short":"J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann, J. Schneider, Holistic Optimization of a Dynamic Cross-Flow Filtration Process towards a Cyber-Physical System, IEEE, [Piscataway, NJ], 2023.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Tebbe, Jörn</span> ; <span style=\"font-variant:small-caps;\">Pawlik, Thomas</span> ; <span style=\"font-variant:small-caps;\">Trilling-Haasler, Marc</span> ; <span style=\"font-variant:small-caps;\">Löbner, Jannis</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Schneider, Jan</span> ; <span style=\"font-variant:small-caps;\">Jasperneite, J.</span> ; <span style=\"font-variant:small-caps;\">Wisniewski, L.</span> ; <span style=\"font-variant:small-caps;\">Fung Man, K.</span> ; <span style=\"font-variant:small-caps;\">Institute of Electrical and Electronics Engineers </span> (Hrsg.): <i>Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system</i>. [Piscataway, NJ] : IEEE, 2023","ieee":"J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann, and J. Schneider, <i>Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system</i>. [Piscataway, NJ]: IEEE, 2023, pp. 1–7. doi: <a href=\"https://doi.org/10.1109/INDIN51400.2023.10217913\">10.1109/INDIN51400.2023.10217913</a>.","van":"Tebbe J, Pawlik T, Trilling-Haasler M, Löbner J, Lange-Hegermann M, Schneider J. Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. Jasperneite J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers , editors. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE; 2023.","ama":"Tebbe J, Pawlik T, Trilling-Haasler M, Löbner J, Lange-Hegermann M, Schneider J. <i>Holistic Optimization of a Dynamic Cross-Flow Filtration Process towards a Cyber-Physical System</i>. (Jasperneite J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers , eds.). IEEE; 2023:1-7. doi:<a href=\"https://doi.org/10.1109/INDIN51400.2023.10217913\">10.1109/INDIN51400.2023.10217913</a>","apa":"Tebbe, J., Pawlik, T., Trilling-Haasler, M., Löbner, J., Lange-Hegermann, M., &#38; Schneider, J. (2023). Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. In J. Jasperneite, L. Wisniewski, K. Fung Man, &#38; Institute of Electrical and Electronics Engineers  (Eds.), <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i> (pp. 1–7). IEEE. <a href=\"https://doi.org/10.1109/INDIN51400.2023.10217913\">https://doi.org/10.1109/INDIN51400.2023.10217913</a>","havard":"J. Tebbe, T. Pawlik, M. Trilling-Haasler, J. Löbner, M. Lange-Hegermann, J. Schneider, Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system, IEEE, [Piscataway, NJ], 2023.","ufg":"<b>Tebbe, Jörn u. a.</b>: Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system, hg. von Jasperneite, Jürgen u. a., [Piscataway, NJ] 2023."},"publisher":"IEEE","date_updated":"2025-06-26T07:48:22Z","year":"2023","user_id":"83781","corporate_editor":["Institute of Electrical and Electronics Engineers "],"date_created":"2023-11-21T08:04:41Z","language":[{"iso":"eng"}],"place":"[Piscataway, NJ]","status":"public","author":[{"last_name":"Tebbe","id":"79072","full_name":"Tebbe, Jörn","first_name":"Jörn"},{"first_name":"Thomas","full_name":"Pawlik, Thomas","id":"58915","last_name":"Pawlik"},{"orcid":"0000-0002-3685-6383","first_name":"Marc","last_name":"Trilling-Haasler","id":"81622","full_name":"Trilling-Haasler, Marc"},{"first_name":"Jannis","full_name":"Löbner, Jannis","id":"74097","last_name":"Löbner"},{"last_name":"Lange-Hegermann","id":"71761","full_name":"Lange-Hegermann, Markus","first_name":"Markus"},{"orcid":"0000-0001-6401-8873","first_name":"Jan","last_name":"Schneider","full_name":"Schneider, Jan","id":"13209"}],"_id":"10787","type":"conference_editor_article","page":"1-7","editor":[{"first_name":"Jürgen","last_name":"Jasperneite","id":"1899","full_name":"Jasperneite, Jürgen"},{"first_name":"Lukasz","id":"1710","full_name":"Wisniewski, Lukasz","last_name":"Wisniewski"},{"first_name":"Kim","last_name":"Fung Man","full_name":"Fung Man, Kim"}],"abstract":[{"text":"Cyber-physical production systems have emerged with the rise of Industry 4.0 in different industrial fields. Especially the food sector, where inhomogeneous input products like beer/yeast suspensions with different qualities and properties have yet slowed down automation, has potential for this evolution. This contribution presents optimization methods for a dynamical cross-flow filtration plant which is driven by an advanced control concept in combination with data driven product monitoring via inline near infrared spectroscopy (NIR) in order to improve energy savings and filtration performance. Using a hierarchical control and optimization structure, the non stationary batch process is steered towards a high production rate with low energy consumption for a variety of different input products.","lang":"eng"}]},{"user_id":"83781","year":"2023","date_updated":"2025-06-26T07:45:59Z","language":[{"iso":"eng"}],"date_created":"2025-04-16T12:38:21Z","external_id":{"isi":["001012981300044"]},"author":[{"last_name":"Shayan","full_name":"Shayan, Helmand","id":"79365","first_name":"Helmand"},{"first_name":"Kai","last_name":"Krycki","full_name":"Krycki, Kai"},{"first_name":"Marco","full_name":"Doemeland, Marco","last_name":"Doemeland"},{"first_name":"Markus","last_name":"Lange-Hegermann","full_name":"Lange-Hegermann, Markus","id":"71761"}],"status":"public","place":"New York, NY","abstract":[{"text":"For environmental, sustainable economic and political reasons, recycling processes are becoming increasingly important, aiming at a much higher use of secondary raw materials. Currently, for the copper and aluminum industries, no method for the non-destructive online analysis of heterogeneous materials is available. The prompt gamma neutron activation analysis (PGNAA) has the potential to overcome this challenge. A difficulty when using PGNAA for online classification arises from the small amount of noisy data, due to short-term measurements. In this case, classical evaluation methods using detailed peak by peak analysis fail. Therefore, we propose to view spectral data as probability distributions. Then, we can classify material using maximum log-likelihood with respect to kernel density estimation and use discrete sampling to optimize hyperparameters. For measurements of pure aluminum alloys we achieve near-perfect classification of aluminum alloys under 0.25 s.","lang":"eng"}],"_id":"12811","type":"scientific_journal_article","page":"1171-1177","volume":70,"keyword":["Classification of metal","kernel density estimation","maximum log-likelihood","online classification","prompt gamma neutron activation analysis (PGNAA) spectral classification","random sampling"],"doi":"10.1109/tns.2023.3242626","issue":"6","publication_identifier":{"issn":["0018-9499"],"eissn":["1558-1578"]},"publication_status":"published","department":[{"_id":"DEP5023"}],"title":"PGNAA Spectral Classification of Metal With Density Estimations","isi":"1","publication":"IEEE Transactions on Nuclear Science","intvolume":"        70","publisher":"IEEE","citation":{"chicago-de":"Shayan, Helmand, Kai Krycki, Marco Doemeland und Markus Lange-Hegermann. 2023. PGNAA Spectral Classification of Metal With Density Estimations. <i>IEEE Transactions on Nuclear Science</i> 70, Nr. 6: 1171–1177. doi:<a href=\"https://doi.org/10.1109/tns.2023.3242626\">10.1109/tns.2023.3242626</a>, .","bjps":"<b>Shayan H <i>et al.</i></b> (2023) PGNAA Spectral Classification of Metal With Density Estimations. <i>IEEE Transactions on Nuclear Science</i> <b>70</b>, 1171–1177.","ieee":"H. Shayan, K. Krycki, M. Doemeland, and M. Lange-Hegermann, “PGNAA Spectral Classification of Metal With Density Estimations,” <i>IEEE Transactions on Nuclear Science</i>, vol. 70, no. 6, pp. 1171–1177, 2023, doi: <a href=\"https://doi.org/10.1109/tns.2023.3242626\">10.1109/tns.2023.3242626</a>.","van":"Shayan H, Krycki K, Doemeland M, Lange-Hegermann M. PGNAA Spectral Classification of Metal With Density Estimations. IEEE Transactions on Nuclear Science. 2023;70(6):1171–7.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Shayan, Helmand</span> ; <span style=\"font-variant:small-caps;\">Krycki, Kai</span> ; <span style=\"font-variant:small-caps;\">Doemeland, Marco</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span>: PGNAA Spectral Classification of Metal With Density Estimations. In: <i>IEEE Transactions on Nuclear Science</i> Bd. 70. New York, NY, IEEE (2023), Nr. 6, S. 1171–1177","apa":"Shayan, H., Krycki, K., Doemeland, M., &#38; Lange-Hegermann, M. (2023). PGNAA Spectral Classification of Metal With Density Estimations. <i>IEEE Transactions on Nuclear Science</i>, <i>70</i>(6), 1171–1177. <a href=\"https://doi.org/10.1109/tns.2023.3242626\">https://doi.org/10.1109/tns.2023.3242626</a>","mla":"Shayan, Helmand, et al. “PGNAA Spectral Classification of Metal With Density Estimations.” <i>IEEE Transactions on Nuclear Science</i>, vol. 70, no. 6, 2023, pp. 1171–77, <a href=\"https://doi.org/10.1109/tns.2023.3242626\">https://doi.org/10.1109/tns.2023.3242626</a>.","short":"H. Shayan, K. Krycki, M. Doemeland, M. Lange-Hegermann, IEEE Transactions on Nuclear Science 70 (2023) 1171–1177.","ama":"Shayan H, Krycki K, Doemeland M, Lange-Hegermann M. PGNAA Spectral Classification of Metal With Density Estimations. <i>IEEE Transactions on Nuclear Science</i>. 2023;70(6):1171-1177. doi:<a href=\"https://doi.org/10.1109/tns.2023.3242626\">10.1109/tns.2023.3242626</a>","chicago":"Shayan, Helmand, Kai Krycki, Marco Doemeland, and Markus Lange-Hegermann. “PGNAA Spectral Classification of Metal With Density Estimations.” <i>IEEE Transactions on Nuclear Science</i> 70, no. 6 (2023): 1171–77. <a href=\"https://doi.org/10.1109/tns.2023.3242626\">https://doi.org/10.1109/tns.2023.3242626</a>.","ufg":"<b>Shayan, Helmand u. a.</b>: PGNAA Spectral Classification of Metal With Density Estimations, in: <i>IEEE Transactions on Nuclear Science</i> 70 (2023), H. 6,  S. 1171–1177.","havard":"H. Shayan, K. Krycki, M. Doemeland, M. Lange-Hegermann, PGNAA Spectral Classification of Metal With Density Estimations, IEEE Transactions on Nuclear Science. 70 (2023) 1171–1177."}},{"publication":"40th International Conference on Machine Learning","conference":{"end_date":"2023-07-29","location":"Honolulu, HI","start_date":"2023-07-23","name":"40th International Conference on Machine Learning"},"publication_status":"published","publication_identifier":{"issn":["2640-3498"]},"title":"Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients","department":[{"_id":"DEP5023"}],"series_title":"Proceedings of machine learning research : PMLR","intvolume":"       202","citation":{"short":"M. Härkönen, M. Lange-Hegermann, B.  Raiţă, Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients, MLResearchPress , 2023.","chicago":"Härkönen, Marc , Markus Lange-Hegermann, and Bogdan  Raiţă. <i>Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients</i>. <i>40th International Conference on Machine Learning</i>. Vol. 202. Proceedings of Machine Learning Research : PMLR. MLResearchPress , 2023.","ama":"Härkönen M, Lange-Hegermann M,  Raiţă B. <i>Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients</i>. Vol 202. MLResearchPress ; 2023.","mla":"Härkönen, Marc, et al. “Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients.” <i>40th International Conference on Machine Learning</i>, vol. 202, MLResearchPress , 2023.","apa":"Härkönen, M., Lange-Hegermann, M., &#38;  Raiţă, B. (2023). Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. In <i>40th International Conference on Machine Learning</i> (Vol. 202). MLResearchPress .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Härkönen, Marc </span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\"> Raiţă, Bogdan</span>: <i>Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients</i>, <i>Proceedings of machine learning research : PMLR</i>. Bd. 202 : MLResearchPress , 2023","havard":"M. Härkönen, M. Lange-Hegermann, B.  Raiţă, Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients, MLResearchPress , 2023.","ufg":"<b>Härkönen, Marc/Lange-Hegermann, Markus/ Raiţă, Bogdan</b>: Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients, Bd. 202, o. O. 2023 (Proceedings of machine learning research : PMLR).","chicago-de":"Härkönen, Marc , Markus Lange-Hegermann und Bogdan  Raiţă. 2023. <i>Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients</i>. <i>40th International Conference on Machine Learning</i>. Bd. 202. Proceedings of machine learning research : PMLR. MLResearchPress .","bjps":"<b>Härkönen M, Lange-Hegermann M and  Raiţă B</b> (2023) <i>Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients</i>. MLResearchPress .","van":"Härkönen M, Lange-Hegermann M,  Raiţă B. Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. 40th International Conference on Machine Learning. MLResearchPress ; 2023. (Proceedings of machine learning research : PMLR; vol. 202).","ieee":"M. Härkönen, M. Lange-Hegermann, and B.  Raiţă, <i>Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients</i>, vol. 202. MLResearchPress , 2023."},"publisher":"MLResearchPress ","date_updated":"2025-06-26T07:56:15Z","year":"2023","user_id":"83781","date_created":"2025-04-22T14:14:42Z","language":[{"iso":"eng"}],"author":[{"last_name":"Härkönen","full_name":"Härkönen, Marc ","first_name":"Marc "},{"id":"71761","full_name":"Lange-Hegermann, Markus","last_name":"Lange-Hegermann","first_name":"Markus"},{"full_name":" Raiţă, Bogdan","last_name":" Raiţă","first_name":"Bogdan"}],"status":"public","_id":"12828","type":"conference_editor_article","volume":202,"abstract":[{"lang":"eng","text":"Partial differential equations (PDEs) are important tools to model physical systems and including them into machine learning models is an important way of incorporating physical knowledge. Given any system of linear PDEs with constant coefficients, we propose a family of Gaussian process (GP) priors, which we call EPGP, such that all realizations are exact solutions of this system. We apply the Ehrenpreis-Palamodov fundamental principle, which works as a non-linear Fourier transform, to construct GP kernels mirroring standard spectral methods for GPs. Our approach can infer probable solutions of linear PDE systems from any data such as noisy measurements, or pointwise defined initial and boundary conditions. Constructing EPGP-priors is algorithmic, generally applicable, and comes with a sparse version (S-EPGP) that learns the relevant spectral frequencies and works better for big data sets. We demonstrate our approach on three families of systems of PDEs, the heat equation, wave equation, and Maxwell's equations, where we improve upon the state of the art in computation time and precision, in some experiments by several orders of magnitude."}]},{"language":[{"iso":"ger"}],"date_created":"2023-05-25T11:29:54Z","user_id":"15514","date_updated":"2023-06-19T07:39:11Z","year":"2023","editor":[{"last_name":"Schmohl","full_name":"Schmohl, Tobias","id":"71782","orcid":"https://orcid.org/0000-0002-7043-5582","first_name":"Tobias"},{"full_name":"Watanabe, Alice","id":"76856","last_name":"Watanabe","first_name":"Alice"},{"last_name":"Schelling","full_name":"Schelling, Kathrin","id":"81212","first_name":"Kathrin"}],"volume":4,"_id":"9930","page":"161-172","type":"conference_editor_article","status":"public","author":[{"first_name":"Markus","last_name":"Lange-Hegermann","id":"71761","full_name":"Lange-Hegermann, Markus"},{"last_name":"Schmohl","id":"71782","full_name":"Schmohl, Tobias","orcid":"https://orcid.org/0000-0002-7043-5582","first_name":"Tobias"},{"full_name":"Watanabe, Alice","id":"76856","last_name":"Watanabe","first_name":"Alice"},{"first_name":"Kathrin","last_name":"Schelling","full_name":"Schelling, Kathrin","id":"81212"},{"last_name":"Heiss","full_name":"Heiss, Stefan","id":"1031","first_name":"Stefan"},{"first_name":"Jessica","full_name":"Rubart, Jessica","id":"45672","last_name":"Rubart"}],"place":"Bielefeld","department":[{"_id":"DEP5000"}],"title":"KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer","publication_status":"published","publication_identifier":{"eisbn":["978-3-8394-5769-6 "],"isbn":["978-3-8376-5769-2"]},"doi":"10.14361/9783839457696-009","publication":"Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens","citation":{"ufg":"<b>Lange-Hegermann, Markus u. a.</b>: KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, Bd. 4, hg. von Schmohl, Tobias/Watanabe, Alice/Schelling, Kathrin, Bielefeld 2023 (Hochschulbildung: Lehre und Forschung).","havard":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, K. Schelling, S. Heiss, J. Rubart, KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, transcript Verlag, Bielefeld, 2023.","apa":"Lange-Hegermann, M., Schmohl, T., Watanabe, A., Schelling, K., Heiss, S., &#38; Rubart, J. (2023). KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer. In T. Schmohl, A. Watanabe, &#38; K. Schelling (Eds.), <i>Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens</i> (Vol. 4, pp. 161–172). transcript Verlag. <a href=\"https://doi.org/10.14361/9783839457696-009\">https://doi.org/10.14361/9783839457696-009</a>","din1505-2-1":"<span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Schmohl, Tobias</span> ; <span style=\"font-variant:small-caps;\">Watanabe, Alice</span> ; <span style=\"font-variant:small-caps;\">Schelling, Kathrin</span> ; <span style=\"font-variant:small-caps;\">Heiss, Stefan</span> ; <span style=\"font-variant:small-caps;\">Rubart, Jessica</span> ; <span style=\"font-variant:small-caps;\">Schmohl, T.</span> ; <span style=\"font-variant:small-caps;\">Watanabe, A.</span> ; <span style=\"font-variant:small-caps;\">Schelling, K.</span> (Hrsg.): <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>, <i>Hochschulbildung: Lehre und Forschung</i>. Bd. 4. Bielefeld : transcript Verlag, 2023","chicago":"Lange-Hegermann, Markus, Tobias Schmohl, Alice Watanabe, Kathrin Schelling, Stefan Heiss, and Jessica Rubart. <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>. Edited by Tobias Schmohl, Alice Watanabe, and Kathrin Schelling. <i>Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens</i>. Vol. 4. Hochschulbildung: Lehre und Forschung. Bielefeld: transcript Verlag, 2023. <a href=\"https://doi.org/10.14361/9783839457696-009\">https://doi.org/10.14361/9783839457696-009</a>.","short":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, K. Schelling, S. Heiss, J. Rubart, KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, transcript Verlag, Bielefeld, 2023.","ama":"Lange-Hegermann M, Schmohl T, Watanabe A, Schelling K, Heiss S, Rubart J. <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>. Vol 4. (Schmohl T, Watanabe A, Schelling K, eds.). transcript Verlag; 2023:161-172. doi:<a href=\"https://doi.org/10.14361/9783839457696-009\">10.14361/9783839457696-009</a>","mla":"Lange-Hegermann, Markus, et al. “KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer.” <i>Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens</i>, edited by Tobias Schmohl et al., vol. 4, transcript Verlag, 2023, pp. 161–72, <a href=\"https://doi.org/10.14361/9783839457696-009\">https://doi.org/10.14361/9783839457696-009</a>.","van":"Lange-Hegermann M, Schmohl T, Watanabe A, Schelling K, Heiss S, Rubart J. KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer. Schmohl T, Watanabe A, Schelling K, editors. Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens. Bielefeld: transcript Verlag; 2023. (Hochschulbildung: Lehre und Forschung; vol. 4).","ieee":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, K. Schelling, S. Heiss, and J. Rubart, <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>, vol. 4. Bielefeld: transcript Verlag, 2023, pp. 161–172. doi: <a href=\"https://doi.org/10.14361/9783839457696-009\">10.14361/9783839457696-009</a>.","bjps":"<b>Lange-Hegermann M <i>et al.</i></b> (2023) <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>, Schmohl T, Watanabe A and Schelling K (eds). Bielefeld: transcript Verlag.","chicago-de":"Lange-Hegermann, Markus, Tobias Schmohl, Alice Watanabe, Kathrin Schelling, Stefan Heiss und Jessica Rubart. 2023. <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>. Hg. von Tobias Schmohl, Alice Watanabe, und Kathrin Schelling. <i>Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens</i>. Bd. 4. Hochschulbildung: Lehre und Forschung. Bielefeld: transcript Verlag. doi:<a href=\"https://doi.org/10.14361/9783839457696-009\">10.14361/9783839457696-009</a>, ."},"publisher":"transcript Verlag","intvolume":"         4","series_title":"Hochschulbildung: Lehre und Forschung"},{"publisher":"MDPI AG","citation":{"chicago-de":"Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann und Björn Frahm. 2022. Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. <i>Processes</i> 10, Nr. 5. doi:<a href=\"https://doi.org/10.3390/pr10050883\">10.3390/pr10050883</a>, .","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (2022) Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. <i>Processes</i> <b>10</b>.","van":"Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. Processes. 2022;10(5).","ieee":"T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, and B. Frahm, “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design,” <i>Processes</i>, vol. 10, no. 5, Art. no. 883, 2022, doi: <a href=\"https://doi.org/10.3390/pr10050883\">10.3390/pr10050883</a>.","short":"T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Processes 10 (2022).","chicago":"Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann, and Björn Frahm. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” <i>Processes</i> 10, no. 5 (2022). <a href=\"https://doi.org/10.3390/pr10050883\">https://doi.org/10.3390/pr10050883</a>.","ama":"Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. <i>Processes</i>. 2022;10(5). doi:<a href=\"https://doi.org/10.3390/pr10050883\">10.3390/pr10050883</a>","mla":"Hernández Rodriguez, Tanja, et al. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” <i>Processes</i>, vol. 10, no. 5, 883, 2022, <a href=\"https://doi.org/10.3390/pr10050883\">https://doi.org/10.3390/pr10050883</a>.","apa":"Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., &#38; Frahm, B. (2022). Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. <i>Processes</i>, <i>10</i>(5), Article 883. <a href=\"https://doi.org/10.3390/pr10050883\">https://doi.org/10.3390/pr10050883</a>","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Sekulic, Anton</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. In: <i>Processes</i> Bd. 10. Basel, MDPI AG (2022), Nr. 5","havard":"T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design, Processes. 10 (2022).","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design, in: <i>Processes</i> 10 (2022), H. 5."},"intvolume":"        10","issue":"5","doi":"10.3390/pr10050883","department":[{"_id":"DEP4000"}],"title":"Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design","publication_status":"published","publication_identifier":{"eissn":["2227-9717"]},"publication":"Processes","keyword":["Gaussian processes","Bayes optimization","Pareto optimization","multi-objective","cell culture","seed train"],"abstract":[{"lang":"eng","text":"<jats:p>consuming and often performed rather empirically. Efficient optimization of multiple objectives such as process time, viable cell density, number of operating steps &amp; cultivation scales, required medium, amount of product as well as product quality depicts a promising approach. This contribution presents a workflow which couples uncertainty-based upstream simulation and Bayes optimization using Gaussian processes. Its application is demonstrated in a simulation case study for a relevant industrial task in process development, the design of a robust cell culture expansion process (seed train), meaning that despite uncertainties and variabilities concerning cell growth, low variations of viable cell density during the seed train are obtained. Compared to a non-optimized reference seed train, the optimized process showed much lower deviation rates regarding viable cell densities (&lt;10% instead of 41.7%) using five or four shake flask scales and seed train duration could be reduced by 56 h from 576 h to 520 h. Overall, it is shown that applying Bayes optimization allows for optimization of a multi-objective optimization function with several optimizable input variables and under a considerable amount of constraints with a low computational effort. This approach provides the potential to be used in the form of a decision tool, e.g., for the choice of an optimal and robust seed train design or for further optimization tasks within process development."}],"volume":10,"_id":"11377","type":"scientific_journal_article","status":"public","author":[{"first_name":"Tanja","full_name":"Hernández Rodriguez, Tanja","id":"52466","last_name":"Hernández Rodriguez"},{"full_name":"Sekulic, Anton","last_name":"Sekulic","first_name":"Anton"},{"first_name":"Markus","last_name":"Lange-Hegermann","id":"71761","full_name":"Lange-Hegermann, Markus"},{"first_name":"Björn","last_name":"Frahm","full_name":"Frahm, Björn","id":"45666"}],"place":"Basel","language":[{"iso":"eng"}],"date_created":"2024-04-25T13:35:04Z","article_number":"883","user_id":"83781","year":"2022","date_updated":"2024-05-21T09:30:15Z"},{"type":"conference_poster","_id":"7932","citation":{"van":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based workflow for risk-based decision making in upstream development.","ieee":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, and B. Frahm, <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>.","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (n.d.) <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. .","chicago-de":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann und Björn Frahm. <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>.","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. u. J. .","havard":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, n.d.","apa":"Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., &#38; Frahm, B. (n.d.). <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. 5th annual Bioprocessing Summit Europe, Barcelona, Spain.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>","chicago":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann, and Björn Frahm. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>, n.d.","ama":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>.","short":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development, n.d.","mla":"Hernández Rodriguez, Tanja, et al. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>."},"author":[{"first_name":"Tanja","full_name":"Hernández Rodriguez, Tanja","id":"52466","last_name":"Hernández Rodriguez"},{"orcid":"https://orcid.org/0000-0002-0502-8032","first_name":"Selina","last_name":"Ramm","id":"68713","full_name":"Ramm, Selina"},{"first_name":"Markus","last_name":"Lange-Hegermann","id":"71761","full_name":"Lange-Hegermann, Markus"},{"first_name":"Björn","last_name":"Frahm","full_name":"Frahm, Björn","id":"45666"}],"status":"public","date_created":"2022-05-04T19:35:20Z","conference":{"end_date":"2022-03-24","start_date":"2022-03-22","location":"Barcelona, Spain","name":"5th annual Bioprocessing Summit Europe"},"publication_status":"accepted","title":"A systematic, model-based workflow for risk-based decision making in upstream development","department":[{"_id":"DEP4021"}],"language":[{"iso":"eng"}],"date_updated":"2024-08-02T13:57:53Z","year":"2022","user_id":"83781"},{"publication":"Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing","doi":"https://doi.org/10.3390/pr10050883","publication_status":"published","publication_identifier":{"eisbn":["978-3-0365-5209-5"],"isbn":["978-3-0365-5210-1"],"eissn":["2227-9717"]},"department":[{"_id":"DEP4000"}],"title":"Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design","keyword":["Gaussian processes","Bayes optimization","Pareto optimization","multi-objective","cell culture","seed train"],"quality_controlled":"1","publisher":"MDPI","citation":{"ieee":"T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, and B. Frahm, “Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design,” in <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>, vol. special issue, R. Pörtner and J. Möller, Eds. Basel: MDPI, 2022, pp. 21–48. doi: <a href=\"https://doi.org/10.3390/pr10050883\">https://doi.org/10.3390/pr10050883</a>.","van":"Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Pörtner R, Möller J, editors. Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing. Basel: MDPI; 2022. p. 21–48. (Processes : open access journal; vol. special issue).","apa":"Hernández Rodriguez, T., Sekulic, A., Lange-Hegermann, M., &#38; Frahm, B. (2022). Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In R. Pörtner &#38; J. Möller (Eds.), <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing: Vol. special issue</i> (pp. 21–48). MDPI. <a href=\"https://doi.org/10.3390/pr10050883\">https://doi.org/10.3390/pr10050883</a>","ama":"Hernández Rodriguez T, Sekulic A, Lange-Hegermann M, Frahm B. Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: Pörtner R, Möller J, eds. <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>. Vol special issue. Processes : open access journal. MDPI; 2022:21-48. doi:<a href=\"https://doi.org/10.3390/pr10050883\">https://doi.org/10.3390/pr10050883</a>","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design, in: <i>Pörtner, Ralf/Möller, Johannes (Hgg.)</i>: Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, Band <i>special issue</i>, Basel 2022 (Processes : open access journal),  S. 21–48.","havard":"T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design, in: R. Pörtner, J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, MDPI, Basel, 2022: pp. 21–48.","chicago-de":"Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann und Björn Frahm. 2022. Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>, hg. von Ralf Pörtner und Johannes Möller, special issue:21–48. Processes : open access journal. Basel: MDPI. doi:<a href=\"https://doi.org/10.3390/pr10050883\">https://doi.org/10.3390/pr10050883</a>, .","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (2022) Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. In Pörtner R and Möller J (eds), <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>, vol. special issue. Basel: MDPI, pp. 21–48.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Sekulic, Anton</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: Designing robust biotechnological processes regarding variabilities using multi-objective optimization applied to a biopharmaceutical seed train design. In: <span style=\"font-variant:small-caps;\">Pörtner, R.</span> ; <span style=\"font-variant:small-caps;\">Möller, J.</span> (Hrsg.): <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>, <i>Processes : open access journal</i>. Bd. special issue. Basel : MDPI, 2022, S. 21–48","mla":"Hernández Rodriguez, Tanja, et al. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>, edited by Ralf Pörtner and Johannes Möller, vol. special issue, MDPI, 2022, pp. 21–48, <a href=\"https://doi.org/10.3390/pr10050883\">https://doi.org/10.3390/pr10050883</a>.","short":"T. Hernández Rodriguez, A. Sekulic, M. Lange-Hegermann, B. Frahm, in: R. Pörtner, J. Möller (Eds.), Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing, MDPI, Basel, 2022, pp. 21–48.","chicago":"Hernández Rodriguez, Tanja, Anton Sekulic, Markus Lange-Hegermann, and Björn Frahm. “Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.” In <i>Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing</i>, edited by Ralf Pörtner and Johannes Möller, special issue:21–48. Processes : Open Access Journal. Basel: MDPI, 2022. <a href=\"https://doi.org/10.3390/pr10050883\">https://doi.org/10.3390/pr10050883</a>."},"series_title":"Processes : open access journal","date_created":"2023-08-08T12:58:36Z","language":[{"iso":"eng"}],"date_updated":"2023-08-16T09:24:16Z","year":"2022","user_id":"83781","type":"book_chapter","_id":"10193","page":"21-48","volume":"special issue","abstract":[{"text":"Development and optimization of biopharmaceutical production processes with cell cultures is cost- and time-consuming and often performed rather empirically. Efficient optimization of multiple objectives such as process time, viable cell density, number of operating steps & cultivation scales, required medium, amount of product as well as product quality depicts a promising approach. This contribution presents a workflow which couples uncertainty-based upstream simulation and Bayes optimization using Gaussian processes. Its application is demonstrated in a simulation case study for a relevant industrial task in process development, the design of a robust cell culture expansion process (seed train), meaning that despite uncertainties and variabilities concerning cell growth, low variations of viable cell density during the seed train are obtained. Compared to a non-optimized reference seed train, the optimized process showed much lower deviation rates regarding viable cell densities (<10% instead of 41.7%) using five or four shake flask scales and seed train duration could be reduced by 56 h from 576 h to 520 h. Overall, it is shown that applying Bayes optimization allows for optimization of a multi-objective optimization function with several optimizable input variables and under a considerable amount of constraints with a low computational effort. This approach provides the potential to be used in the form of a decision tool, e.g., for the choice of an optimal and robust seed train design or for further optimization tasks within process development.","lang":"eng"}],"editor":[{"full_name":"Pörtner, Ralf","last_name":"Pörtner","first_name":"Ralf"},{"first_name":"Johannes","full_name":"Möller, Johannes","last_name":"Möller"}],"place":"Basel","author":[{"first_name":"Tanja","full_name":"Hernández Rodriguez, Tanja","id":"52466","last_name":"Hernández Rodriguez"},{"full_name":"Sekulic, Anton","last_name":"Sekulic","first_name":"Anton"},{"first_name":"Markus","full_name":"Lange-Hegermann, Markus","id":"71761","last_name":"Lange-Hegermann"},{"last_name":"Frahm","full_name":"Frahm, Björn","id":"45666","first_name":"Björn"}],"status":"public"},{"date_updated":"2024-08-02T14:14:55Z","year":"2022","user_id":"83781","conference":{"name":"27th Meeting of the European Society for Animal Cell Technology (ESACT): Advanced Cell Technologies: Making Protein, Cell, and Gene Therapies a Reality","end_date":"2022-06-29","start_date":"2022-06-26","location":"Lisbon, Portugal "},"date_created":"2023-08-08T13:50:25Z","title":"A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion","department":[{"_id":"DEP4000"}],"publication_status":"accepted","language":[{"iso":"eng"}],"status":"public","author":[{"first_name":"Tanja","last_name":"Hernández Rodriguez","id":"52466","full_name":"Hernández Rodriguez, Tanja"},{"full_name":"Pörtner, Ralf","last_name":"Pörtner","first_name":"Ralf"},{"id":"71761","full_name":"Lange-Hegermann, Markus","last_name":"Lange-Hegermann","first_name":"Markus"},{"first_name":"Florian M.","full_name":"Wurm, Florian M.","last_name":"Wurm"},{"full_name":"Frahm, Björn","id":"45666","last_name":"Frahm","first_name":"Björn"}],"citation":{"havard":"T. Hernández Rodriguez, R. Pörtner, M. Lange-Hegermann, F.M. Wurm, B. Frahm, A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion, n.d.","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion, o. O. u. J. .","mla":"Hernández Rodriguez, Tanja, et al. <i>A Systematic, Model-Based Approach for Decision Making in Upstream Development – Considerations Regarding Clone Selection and Cell Expansion</i>.","chicago":"Hernández Rodriguez, Tanja, Ralf Pörtner, Markus Lange-Hegermann, Florian M. Wurm, and Björn Frahm. <i>A Systematic, Model-Based Approach for Decision Making in Upstream Development – Considerations Regarding Clone Selection and Cell Expansion</i>, n.d.","short":"T. Hernández Rodriguez, R. Pörtner, M. Lange-Hegermann, F.M. Wurm, B. Frahm, A Systematic, Model-Based Approach for Decision Making in Upstream Development – Considerations Regarding Clone Selection and Cell Expansion, n.d.","ama":"Hernández Rodriguez T, Pörtner R, Lange-Hegermann M, Wurm FM, Frahm B. <i>A Systematic, Model-Based Approach for Decision Making in Upstream Development – Considerations Regarding Clone Selection and Cell Expansion</i>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Pörtner, Ralf</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Wurm, Florian M.</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: <i>A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion</i>","apa":"Hernández Rodriguez, T., Pörtner, R., Lange-Hegermann, M., Wurm, F. M., &#38; Frahm, B. (n.d.). <i>A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion</i>. 27th Meeting of the European Society for Animal Cell Technology (ESACT): Advanced Cell Technologies: Making Protein, Cell, and Gene Therapies a Reality, Lisbon, Portugal .","ieee":"T. Hernández Rodriguez, R. Pörtner, M. Lange-Hegermann, F. M. Wurm, and B. Frahm, <i>A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion</i>.","van":"Hernández Rodriguez T, Pörtner R, Lange-Hegermann M, Wurm FM, Frahm B. A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion.","chicago-de":"Hernández Rodriguez, Tanja, Ralf Pörtner, Markus Lange-Hegermann, Florian M. Wurm und Björn Frahm. <i>A systematic, model-based approach for decision making in upstream development – Considerations regarding clone selection and cell expansion</i>.","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (n.d.) <i>A Systematic, Model-Based Approach for Decision Making in Upstream Development – Considerations Regarding Clone Selection and Cell Expansion</i>. ."},"_id":"10198","type":"conference_poster","quality_controlled":"1"},{"keyword":["SMITH NORMAL-FORM","ALGORITHMS","REDUCTION"],"conference":{"name":"36th Conference on Neural Information Processing Systems (NeurIPS)","location":"New Orleans, La.; Online","start_date":"2022-11-28","end_date":"2022-12-09"},"publication":"36th Conference on Neural Information Processing Systems (NeurIPS 2022) ","title":"Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations","department":[{"_id":"DEP5000"}],"publication_identifier":{"issn":["1049-5258"],"isbn":["978-1-7138-7108-8 "],"eisbn":["978-1-7138-7312-9"]},"publication_status":"published","series_title":"Advances in Neural Information Processing Systems","intvolume":"        35","publisher":"Curran Associates, Inc.","citation":{"chicago-de":"Besginow, Andreas und Markus Lange-Hegermann. 2022. <i>Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations</i>. Hg. von S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh, und Neural Information Processing Systems Foundation . <i>36th Conference on Neural Information Processing Systems (NeurIPS 2022) </i>. Bd. 35. Advances in Neural Information Processing Systems. Red Hook, NY : Curran Associates, Inc.","bjps":"<b>Besginow A and Lange-Hegermann M</b> (2022) <i>Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations</i>, Koyejo S et al. (eds). Red Hook, NY : Curran Associates, Inc.","van":"Besginow A, Lange-Hegermann M. Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. Koyejo S, Mohamed S, Agarwal A, Belgrave D, Cho K, Oh A, et al., editors. 36th Conference on Neural Information Processing Systems (NeurIPS 2022) . Red Hook, NY : Curran Associates, Inc.; 2022. (Advances in Neural Information Processing Systems; vol. 35).","ieee":"A. Besginow and M. Lange-Hegermann, <i>Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations</i>, vol. 35. Red Hook, NY : Curran Associates, Inc., 2022, pp. 29386–29399.","chicago":"Besginow, Andreas, and Markus Lange-Hegermann. <i>Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations</i>. Edited by S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh, and Neural Information Processing Systems Foundation . <i>36th Conference on Neural Information Processing Systems (NeurIPS 2022) </i>. Vol. 35. Advances in Neural Information Processing Systems. Red Hook, NY : Curran Associates, Inc., 2022.","ama":"Besginow A, Lange-Hegermann M. <i>Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations</i>. Vol 35. (Koyejo S, Mohamed S, Agarwal A, et al., eds.). Curran Associates, Inc.; 2022:29386-29399.","short":"A. Besginow, M. Lange-Hegermann, Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Curran Associates, Inc., Red Hook, NY , 2022.","mla":"Besginow, Andreas, and Markus Lange-Hegermann. “Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations.” <i>36th Conference on Neural Information Processing Systems (NeurIPS 2022) </i>, edited by S. Koyejo et al., vol. 35, Curran Associates, Inc., 2022, pp. 29386–99.","apa":"Besginow, A., &#38; Lange-Hegermann, M. (2022). Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh, &#38; Neural Information Processing Systems Foundation  (Eds.), <i>36th Conference on Neural Information Processing Systems (NeurIPS 2022) </i> (Vol. 35, pp. 29386–29399). Curran Associates, Inc.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Besginow, Andreas</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Koyejo, S.</span> ; <span style=\"font-variant:small-caps;\">Mohamed, S.</span> ; <span style=\"font-variant:small-caps;\">Agarwal, A.</span> ; <span style=\"font-variant:small-caps;\">Belgrave, D.</span> ; <span style=\"font-variant:small-caps;\">Cho, K.</span> ; <span style=\"font-variant:small-caps;\">Oh, A.</span> ; <span style=\"font-variant:small-caps;\">Neural Information Processing Systems Foundation </span> (Hrsg.): <i>Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations</i>, <i>Advances in Neural Information Processing Systems</i>. Bd. 35. Red Hook, NY  : Curran Associates, Inc., 2022","havard":"A. Besginow, M. Lange-Hegermann, Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Curran Associates, Inc., Red Hook, NY , 2022.","ufg":"<b>Besginow, Andreas/Lange-Hegermann, Markus</b>: Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations, Bd. 35, hg. von Koyejo, S. u. a., Red Hook, NY  2022 (Advances in Neural Information Processing Systems)."},"date_updated":"2025-06-26T13:37:53Z","year":"2022","user_id":"83781","corporate_editor":["Neural Information Processing Systems Foundation "],"date_created":"2025-04-16T06:58:04Z","language":[{"iso":"eng"}],"place":"Red Hook, NY ","status":"public","author":[{"first_name":"Andreas","last_name":"Besginow","id":"61743","full_name":"Besginow, Andreas"},{"last_name":"Lange-Hegermann","id":"71761","full_name":"Lange-Hegermann, Markus","first_name":"Markus"}],"volume":35,"_id":"12804","type":"conference_editor_article","page":"29386 - 29399","abstract":[{"lang":"eng","text":"Data in many applications follows systems of Ordinary Differential Equations (ODEs). This paper presents a novel algorithmic and symbolic construction for covariance functions of Gaussian Processes (GPs) with realizations strictly following a system of linear homogeneous ODEs with constant coefficients, which we call LODE-GPs. Introducing this strong inductive bias into a GP improves modelling of such data. Using smith normal form algorithms, a symbolic technique, we overcome two current restrictions in the state of the art: (1) the need for certain uniqueness conditions in the set of solutions, typically assumed in classical ODE solvers and their probabilistic counterparts, and (2) the restriction to controllable systems, typically assumed when encoding differential equations in covariance functions. We show the effectiveness of LODE-GPs in a number of experiments, for example learning physically interpretable parameters by maximizing the likelihood."}],"editor":[{"last_name":"Koyejo","full_name":"Koyejo, S.","first_name":"S."},{"first_name":"S.","full_name":"Mohamed, S.","last_name":"Mohamed"},{"first_name":"A.","last_name":"Agarwal","full_name":"Agarwal, A."},{"full_name":"Belgrave, D.","last_name":"Belgrave","first_name":"D."},{"last_name":"Cho","full_name":"Cho, K.","first_name":"K."},{"last_name":"Oh","full_name":"Oh, A.","first_name":"A."}]},{"place":"Bologna","author":[{"last_name":"Lange-Hegermann","id":"71761","full_name":"Lange-Hegermann, Markus","first_name":"Markus"},{"id":"71782","full_name":"Schmohl, Tobias","last_name":"Schmohl","first_name":"Tobias","orcid":"https://orcid.org/0000-0002-7043-5582"},{"id":"76856","full_name":"Watanabe, Alice","last_name":"Watanabe","first_name":"Alice"},{"first_name":"Stefan","full_name":"Heiss, Stefan","id":"1031","last_name":"Heiss"},{"full_name":"Rubart, Jessica","id":"45672","last_name":"Rubart","first_name":"Jessica"}],"status":"public","_id":"7581","type":"conference_editor_article","page":"385-390","volume":10,"year":2021,"date_updated":"2023-03-15T13:50:10Z","user_id":"79260","date_created":"2022-04-14T10:59:50Z","main_file_link":[{"url":"https://conference.pixel-online.net/NPSE/files/npse/ed0010/FP/6790-STEM4992-FP-NPSE10.pdf","open_access":"1"}],"language":[{"iso":"eng"}],"intvolume":"        10","quality_controlled":"1","publisher":"Libreriauniversitaria.it","citation":{"apa":"Lange-Hegermann, M., Schmohl, T., Watanabe, A., Heiss, S., &#38; Rubart, J. (2021). <i>AI-based STEM education: Generating individualized exercises in mathematics</i>. <i>New Perspectives in Science Education</i> (Vol. 10, pp. 385–390). Bologna: Libreriauniversitaria.it.","ama":"Lange-Hegermann M, Schmohl T, Watanabe A, Heiss S, Rubart J. <i>AI-Based STEM Education: Generating Individualized Exercises in Mathematics</i>. Vol 10. Bologna: Libreriauniversitaria.it; 2021:385-390.","ufg":"<b>Lange-Hegermann, Markus et. al. (2021)</b>: AI-based STEM education: Generating individualized exercises in mathematics (=<i> 10</i>), Bologna.","havard":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, J. Rubart, AI-based STEM education: Generating individualized exercises in mathematics, Libreriauniversitaria.it, Bologna, 2021.","van":"Lange-Hegermann M, Schmohl T, Watanabe A, Heiss S, Rubart J. AI-based STEM education: Generating individualized exercises in mathematics. Vol. 10, New Perspectives in Science Education. Bologna: Libreriauniversitaria.it; 2021.","ieee":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, and J. Rubart, <i>AI-based STEM education: Generating individualized exercises in mathematics</i>, vol. 10. Bologna: Libreriauniversitaria.it, 2021, pp. 385–390.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Schmohl, Tobias</span> ; <span style=\"font-variant:small-caps;\">Watanabe, Alice</span> ; <span style=\"font-variant:small-caps;\">Heiss, Stefan</span> ; <span style=\"font-variant:small-caps;\">Rubart, Jessica</span>: <i>AI-based STEM education: Generating individualized exercises in mathematics</i>. Bd. 10. Bologna : Libreriauniversitaria.it, 2021","short":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, J. Rubart, AI-Based STEM Education: Generating Individualized Exercises in Mathematics, Libreriauniversitaria.it, Bologna, 2021.","chicago":"Lange-Hegermann, Markus, Tobias Schmohl, Alice Watanabe, Stefan Heiss, and Jessica Rubart. <i>AI-Based STEM Education: Generating Individualized Exercises in Mathematics</i>. <i>New Perspectives in Science Education</i>. Vol. 10. Bologna: Libreriauniversitaria.it, 2021.","mla":"Lange-Hegermann, Markus, et al. “AI-Based STEM Education: Generating Individualized Exercises in Mathematics.” <i>New Perspectives in Science Education</i>, vol. 10, Libreriauniversitaria.it, 2021, pp. 385–90.","bjps":"<b>Lange-Hegermann M <i>et al.</i></b> (2021) <i>AI-Based STEM Education: Generating Individualized Exercises in Mathematics</i>. Bologna: Libreriauniversitaria.it.","chicago-de":"Lange-Hegermann, Markus, Tobias Schmohl, Alice Watanabe, Stefan Heiss und Jessica Rubart. 2021. <i>AI-based STEM education: Generating individualized exercises in mathematics</i>. <i>New Perspectives in Science Education</i>. Bd. 10. Bologna: Libreriauniversitaria.it."},"oa":"1","conference":{"end_date":"2021-03-19","start_date":"2021-03-18","location":"Florenz","name":"New Perspectives in Science Education"},"publication":"New Perspectives in Science Education","publication_status":"published","title":"AI-based STEM education: Generating individualized exercises in mathematics","department":[{"_id":"DEP2000"},{"_id":"DEP1200"}]},{"status":"public","author":[{"last_name":"Lange-Hegermann","full_name":"Lange-Hegermann, Markus","id":"71761","first_name":"Markus"},{"orcid":"https://orcid.org/0000-0002-7043-5582","first_name":"Tobias","last_name":"Schmohl","id":"71782","full_name":"Schmohl, Tobias"},{"first_name":"Alice","last_name":"Watanabe","full_name":"Watanabe, Alice","id":"76856"},{"id":"1031","full_name":"Heiss, Stefan","last_name":"Heiss","first_name":"Stefan"},{"last_name":"Rubart","full_name":"Rubart, Jessica","id":"45672","first_name":"Jessica"}],"place":"Bologna","page":"385 - 390","_id":"5620","type":"conference_editor_article","user_id":"79260","date_updated":"2023-03-15T13:50:00Z","year":2021,"language":[{"iso":"eng"}],"date_created":"2021-04-19T13:32:10Z","main_file_link":[{"url":"https://conference.pixel-online.net/NPSE/files/npse/ed0010/FP/6790-STEM4992-FP-NPSE10.pdf","open_access":"1"}],"series_title":"Filodiritto Editore – 10th International Conference New Perspectives in Science Education","oa":"1","publisher":"Libreriauniversitaria.it","quality_controlled":"1","citation":{"ufg":"<b>Lange-Hegermann, Markus et. al. (2021)</b>: AI-Based Stem Education: Generating Individualized Exercises in Mathematics (=<i>Filodiritto Editore – 10th International Conference New Perspectives in Science Education</i>), Bologna.","havard":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, J. Rubart, AI-Based Stem Education: Generating Individualized Exercises in Mathematics, Libreriauniversitaria.it, Bologna, 2021.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Schmohl, Tobias</span> ; <span style=\"font-variant:small-caps;\">Watanabe, Alice</span> ; <span style=\"font-variant:small-caps;\">Heiss, Stefan</span> ; <span style=\"font-variant:small-caps;\">Rubart, Jessica</span>: <i>AI-Based Stem Education: Generating Individualized Exercises in Mathematics</i>, <i>Filodiritto Editore – 10th International Conference New Perspectives in Science Education</i>. Bologna : Libreriauniversitaria.it, 2021","apa":"Lange-Hegermann, M., Schmohl, T., Watanabe, A., Heiss, S., &#38; Rubart, J. (2021). <i>AI-Based Stem Education: Generating Individualized Exercises in Mathematics</i>. <i>New Perspectives in Science Education</i> (pp. 385–390). Bologna: Libreriauniversitaria.it. <a href=\"https://doi.org/10.26352/F318_2384-9509\">https://doi.org/10.26352/F318_2384-9509</a>","mla":"Lange-Hegermann, Markus, et al. “AI-Based Stem Education: Generating Individualized Exercises in Mathematics.” <i>New Perspectives in Science Education</i>, Libreriauniversitaria.it, 2021, pp. 385–90, doi:<a href=\"https://doi.org/10.26352/F318_2384-9509\">10.26352/F318_2384-9509</a>.","ama":"Lange-Hegermann M, Schmohl T, Watanabe A, Heiss S, Rubart J. <i>AI-Based Stem Education: Generating Individualized Exercises in Mathematics</i>. Bologna: Libreriauniversitaria.it; 2021:385-390. doi:<a href=\"https://doi.org/10.26352/F318_2384-9509\">10.26352/F318_2384-9509</a>","chicago":"Lange-Hegermann, Markus, Tobias Schmohl, Alice Watanabe, Stefan Heiss, and Jessica Rubart. <i>AI-Based Stem Education: Generating Individualized Exercises in Mathematics</i>. <i>New Perspectives in Science Education</i>. Filodiritto Editore – 10th International Conference New Perspectives in Science Education. Bologna: Libreriauniversitaria.it, 2021. <a href=\"https://doi.org/10.26352/F318_2384-9509\">https://doi.org/10.26352/F318_2384-9509</a>.","short":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, J. Rubart, AI-Based Stem Education: Generating Individualized Exercises in Mathematics, Libreriauniversitaria.it, Bologna, 2021.","ieee":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, S. Heiss, and J. Rubart, <i>AI-Based Stem Education: Generating Individualized Exercises in Mathematics</i>. Bologna: Libreriauniversitaria.it, 2021, pp. 385–390.","van":"Lange-Hegermann M, Schmohl T, Watanabe A, Heiss S, Rubart J. AI-Based Stem Education: Generating Individualized Exercises in Mathematics. New Perspectives in Science Education. Bologna: Libreriauniversitaria.it; 2021. (Filodiritto Editore – 10th International Conference New Perspectives in Science Education).","chicago-de":"Lange-Hegermann, Markus, Tobias Schmohl, Alice Watanabe, Stefan Heiss und Jessica Rubart. 2021. <i>AI-Based Stem Education: Generating Individualized Exercises in Mathematics</i>. <i>New Perspectives in Science Education</i>. Filodiritto Editore – 10th International Conference New Perspectives in Science Education. Bologna: Libreriauniversitaria.it. doi:<a href=\"https://doi.org/10.26352/F318_2384-9509,\">10.26352/F318_2384-9509,</a> .","bjps":"<b>Lange-Hegermann M <i>et al.</i></b> (2021) <i>AI-Based Stem Education: Generating Individualized Exercises in Mathematics</i>. Bologna: Libreriauniversitaria.it."},"doi":"10.26352/F318_2384-9509","department":[{"_id":"DEP5000"},{"_id":"DEP5023"}],"title":"AI-Based Stem Education: Generating Individualized Exercises in Mathematics","publication_status":"published","publication_identifier":{"isbn":["979-12-80225-14-6"]},"conference":{"end_date":"2021-03-19","location":"Virtual Event","start_date":"2021-03-18","name":"NEW PERSPECTIVES IN SCIENCE EDUCATION 10th Edition"},"publication":"New Perspectives in Science Education"},{"status":"public","author":[{"first_name":"Markus","full_name":"Lange-Hegermann, Markus","id":"71761","last_name":"Lange-Hegermann"}],"volume":130,"type":"conference_editor_article","_id":"12786","abstract":[{"text":"One goal in Bayesian machine learning is to encode prior knowledge into prior distributions, to model data efficiently. We consider prior knowledge from systems of linear partial differential equations together with their boundary conditions. We construct multi-output Gaussian process priors with realizations in the solution set of such systems, in particular only such solutions can be represented by Gaussian process regression. The construction is fully algorithmic via Grobner bases and it does not employ any approximation. It builds these priors combining two parametrizations via a pullback: the first parametrizes the solutions for the system of differential equations and the second parametrizes all functions adhering to the boundary conditions.","lang":"eng"}],"editor":[{"last_name":"Banerjee","full_name":"Banerjee, A.","first_name":"A."},{"last_name":"Fukumizu","full_name":"Fukumizu, K.","first_name":"K."}],"date_updated":"2025-06-26T13:42:36Z","year":"2021","user_id":"83781","date_created":"2025-04-14T13:58:16Z","language":[{"iso":"eng"}],"series_title":"Proceedings of machine learning research : PMLR ","intvolume":"       130","publisher":"MLResearchPress ","quality_controlled":"1","citation":{"van":"Lange-Hegermann M. Linearly Constrained Gaussian Processes with Boundary Conditions. Banerjee A, Fukumizu K, editors. 24th International Conference on Artificial Intelligence and Statistics (AISTATS). MLResearchPress ; 2021. (Proceedings of machine learning research : PMLR ; vol. 130).","ieee":"M. Lange-Hegermann, <i>Linearly Constrained Gaussian Processes with Boundary Conditions</i>, vol. 130. MLResearchPress , 2021.","bjps":"<b>Lange-Hegermann M</b> (2021) <i>Linearly Constrained Gaussian Processes with Boundary Conditions</i>, Banerjee A and Fukumizu K (eds). MLResearchPress .","chicago-de":"Lange-Hegermann, Markus. 2021. <i>Linearly Constrained Gaussian Processes with Boundary Conditions</i>. Hg. von A. Banerjee und K. Fukumizu. <i>24th International Conference on Artificial Intelligence and Statistics (AISTATS)</i>. Bd. 130. Proceedings of machine learning research : PMLR . MLResearchPress .","ufg":"<b>Lange-Hegermann, Markus</b>: Linearly Constrained Gaussian Processes with Boundary Conditions, Bd. 130, hg. von Banerjee, A./Fukumizu, K., o. O. 2021 (Proceedings of machine learning research : PMLR ).","havard":"M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary Conditions, MLResearchPress , 2021.","apa":"Lange-Hegermann, M. (2021). Linearly Constrained Gaussian Processes with Boundary Conditions. In A. Banerjee &#38; K. Fukumizu (Eds.), <i>24th International Conference on Artificial Intelligence and Statistics (AISTATS)</i> (Vol. 130). MLResearchPress .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Banerjee, A.</span> ; <span style=\"font-variant:small-caps;\">Fukumizu, K.</span> (Hrsg.): <i>Linearly Constrained Gaussian Processes with Boundary Conditions</i>, <i>Proceedings of machine learning research : PMLR </i>. Bd. 130 : MLResearchPress , 2021","chicago":"Lange-Hegermann, Markus. <i>Linearly Constrained Gaussian Processes with Boundary Conditions</i>. Edited by A. Banerjee and K. Fukumizu. <i>24th International Conference on Artificial Intelligence and Statistics (AISTATS)</i>. Vol. 130. Proceedings of Machine Learning Research : PMLR . MLResearchPress , 2021.","ama":"Lange-Hegermann M. <i>Linearly Constrained Gaussian Processes with Boundary Conditions</i>. Vol 130. (Banerjee A, Fukumizu K, eds.). MLResearchPress ; 2021.","short":"M. Lange-Hegermann, Linearly Constrained Gaussian Processes with Boundary Conditions, MLResearchPress , 2021.","mla":"Lange-Hegermann, Markus. “Linearly Constrained Gaussian Processes with Boundary Conditions.” <i>24th International Conference on Artificial Intelligence and Statistics (AISTATS)</i>, edited by A. Banerjee and K. Fukumizu, vol. 130, MLResearchPress , 2021."},"keyword":["FUNCTIONAL REGRESSION","PREDICTION","ALGORITHMS","COMPLEXITY","MODELS"],"conference":{"name":"24th International Conference on Artificial Intelligence and Statistics (AISTATS)","end_date":"2021-04-15","location":"Virtual","start_date":"2021-04-13"},"publication":"24th International Conference on Artificial Intelligence and Statistics (AISTATS)","title":"Linearly Constrained Gaussian Processes with Boundary Conditions","department":[{"_id":"DEP5000"},{"_id":"DEP5023"}],"publication_status":"published","publication_identifier":{"issn":["2640-3498"]}},{"year":"2020","date_updated":"2025-06-26T13:31:38Z","user_id":"83781","date_created":"2025-04-17T06:20:07Z","language":[{"iso":"eng"}],"status":"public","author":[{"first_name":"Fabian","full_name":"Berns, Fabian","last_name":"Berns"},{"first_name":"Markus","last_name":"Lange-Hegermann","id":"71761","full_name":"Lange-Hegermann, Markus"},{"full_name":"Beecks, Christian","last_name":"Beecks","first_name":"Christian"}],"_id":"12812","type":"conference_editor_article","page":"87-92","abstract":[{"lang":"eng","text":"Discerning unexpected from expected data patterns is the key challenge of anomaly detection. Although a multitude of solutions has been applied to this modern Industry 4.0 problem, it remains an open research issue to identify the key characteristics subjacent to an anomaly, sc. generate hypothesis as to why they appear. In recent years, machine learning models have been regarded as universal solution for a wide range of problems. While most of them suffer from non-self-explanatory representations, Gaussian Processes (GPs) deliver interpretable and robust statistical data models, which are able to cope with unreliable, noisy, or partially missing data. Thus, we regard them as a suitable solution for detecting and appropriately representing anomalies and their respective characteristics. In this position paper, we discuss the problem of automatic and interpretable anomaly detection by means of GPs. That is, we elaborate on why GPs are well suited for anomaly detection and what the current challenges are when applying these probabilistic models to large-scale production data."}],"editor":[{"last_name":"Panetto","full_name":"Panetto, H.","first_name":"H."},{"last_name":"Madani","full_name":"Madani, K.","first_name":"K."},{"full_name":"Smirnov, A.","last_name":"Smirnov","first_name":"A."}],"keyword":["Anomaly Detection","Gaussian Processes","Explainable Machine Learning","Industry 4.0"],"conference":{"start_date":"2020-11-02","location":"Budapest, HUNGARY","end_date":"2020-11-04","name":"International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL)"},"publication":" Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1","doi":"10.5220/0010130300870092","title":"Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0","department":[{"_id":"DEP5000"}],"publication_identifier":{"isbn":["978-989-758-476-3"]},"publication_status":"published","publisher":"SCITEPRESS - Science and Technology Publications","citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Berns, Fabian</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Beecks, Christian</span> ; <span style=\"font-variant:small-caps;\">Panetto, H.</span> ; <span style=\"font-variant:small-caps;\">Madani, K.</span> ; <span style=\"font-variant:small-caps;\">Smirnov, A.</span> (Hrsg.): <i>Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0</i> : SCITEPRESS - Science and Technology Publications, 2020","mla":"Berns, Fabian, et al. “Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0.” <i> Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1</i>, edited by H. Panetto et al., SCITEPRESS - Science and Technology Publications, 2020, pp. 87–92, <a href=\"https://doi.org/10.5220/0010130300870092\">https://doi.org/10.5220/0010130300870092</a>.","short":"F. Berns, M. Lange-Hegermann, C. Beecks, Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0, SCITEPRESS - Science and Technology Publications, 2020.","chicago":"Berns, Fabian, Markus Lange-Hegermann, and Christian Beecks. <i>Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0</i>. Edited by H. Panetto, K. Madani, and A. Smirnov. <i> Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1</i>. SCITEPRESS - Science and Technology Publications, 2020. <a href=\"https://doi.org/10.5220/0010130300870092\">https://doi.org/10.5220/0010130300870092</a>.","chicago-de":"Berns, Fabian, Markus Lange-Hegermann und Christian Beecks. 2020. <i>Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0</i>. Hg. von H. Panetto, K. Madani, und A. Smirnov. <i> Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1</i>. SCITEPRESS - Science and Technology Publications. doi:<a href=\"https://doi.org/10.5220/0010130300870092\">10.5220/0010130300870092</a>, .","bjps":"<b>Berns F, Lange-Hegermann M and Beecks C</b> (2020) <i>Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0</i>, Panetto H, Madani K and Smirnov A (eds). SCITEPRESS - Science and Technology Publications.","ufg":"<b>Berns, Fabian/Lange-Hegermann, Markus/Beecks, Christian</b>: Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0, hg. von Panetto, H./Madani, K./Smirnov, A., o. O. 2020.","havard":"F. Berns, M. Lange-Hegermann, C. Beecks, Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0, SCITEPRESS - Science and Technology Publications, 2020.","apa":"Berns, F., Lange-Hegermann, M., &#38; Beecks, C. (2020). Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. In H. Panetto, K. Madani, &#38; A. Smirnov (Eds.), <i> Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1</i> (pp. 87–92). SCITEPRESS - Science and Technology Publications. <a href=\"https://doi.org/10.5220/0010130300870092\">https://doi.org/10.5220/0010130300870092</a>","ama":"Berns F, Lange-Hegermann M, Beecks C. <i>Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0</i>. (Panetto H, Madani K, Smirnov A, eds.). SCITEPRESS - Science and Technology Publications; 2020:87-92. doi:<a href=\"https://doi.org/10.5220/0010130300870092\">10.5220/0010130300870092</a>","ieee":"F. Berns, M. Lange-Hegermann, and C. Beecks, <i>Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0</i>. SCITEPRESS - Science and Technology Publications, 2020, pp. 87–92. doi: <a href=\"https://doi.org/10.5220/0010130300870092\">10.5220/0010130300870092</a>.","van":"Berns F, Lange-Hegermann M, Beecks C. Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. Panetto H, Madani K, Smirnov A, editors.  Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1. SCITEPRESS - Science and Technology Publications; 2020."}}]