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A1 - Lorenz, Julian A1 - Kienzle, Daniel A1 - Schön, Robin A1 - Ludwig, Katja A1 - Lienhart, Rainer A1 - Jégou, Simon A1 - Li, Guang A1 - Chen, Cong A1 - Wang, Qi A1 - Shi, Derik A1 - Maniparambil, Mayug A1 - Müller, Dominik A1 - Mertes, Silvan A1 - Schröter, Niklas A1 - Hellmann, Fabio A1 - Elia, Miriam A1 - Dirks, Ine A1 - Bossa, Matías Nicolás A1 - Berenguer, Abel Díaz A1 - Mukherjee, Tanmoy A1 - Vandemeulebroucke, Jef A1 - Sahli, Hichem A1 - Deligiannis, Nikos A1 - Gonidakis, Panagiotis A1 - Huynh, Ngoc Dung A1 - Razzak, Imran A1 - Bouadjenek, Reda A1 - Verdicchio, Mario A1 - Borrelli, Pasquale A1 - Aiello, Marco A1 - Meakin, James A. A1 - Lemm, Alexander A1 - Russ, Christoph A1 - Ionasec, Razvan A1 - Paragios, Nikos A1 - van Ginneken, Bram A1 - Revel, Marie-Pierre T1 - The STOIC2021 COVID-19 AI Challenge: Applying Reusable Training Methodologies to Private Data JF - Medical Image Analysis KW - COVID-19 KW - machine learning KW - medical image analysis challenge Y1 - 2024 UR - https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/deliver/index/docId/106330/file/1-s2.0-S1361841524001555-main.pdf U6 - https://doi.org/10.1016/j.media.2024.103230 SN - 1361-8415 SN - 1361-8423 IS - 97,2024 PB - Elsevier BV CY - Amsterdam ER - TY - JOUR A1 - Gisi, Markus A1 - Schöler, Thorsten A1 - Legat, Christoph T1 - Comparative Analysis of Traditional and Transformer-Based Models in Multi-label Classification of Industrial Requirements JF - IFAC-PapersOnLine KW - machine learning KW - information systems KW - computational intelligence Y1 - 2025 U6 - https://doi.org/10.1016/j.ifacol.2025.11.872 SN - 2405-8963 VL - 59 IS - 2025,24 SP - 245 EP - 250 PB - Elsevier BV ER - TY - JOUR A1 - Yilmaz, Ali Erhan A1 - Cinar, Omer Faruk A1 - Aldemir, Alper A1 - Güldür Erkal, Burcu A1 - Coskun, Onur T1 - Harnessing Machine Learning for Multiclass Seismic Risk Assessment in Reinforced Concrete Structures JF - Buildings KW - machine learning KW - rapid visual screening KW - seismic risk assessment KW - reinforced KW - concrete KW - (RC) buildings KW - level prediction disaster resilience Y1 - 2025 U6 - https://doi.org/10.3390/buildings15224185 SN - 2075-5309 VL - 15 IS - 2025,22 PB - MDPI AG CY - Basel ER - TY - CHAP A1 - Eberl, Florian ED - Stolle, Reinhard T1 - Natural Lighting in Rooms - Method to Collect Training Data for AI Application T2 - Applied Research Conference 2025 KW - natural lighting KW - simulation KW - Rhino8 KW - Ladybug KW - Honeybee KW - CBDM KW - machine learning KW - Artificial Intelligence KW - data generation Y1 - 2025 SP - 196 EP - 201 PB - Technical University of Applied Sciences Augsburg CY - Augsburg ER - TY - CHAP A1 - Ha, Song Son A1 - Förster, Florian A1 - Doebbert, Thomas Robert A1 - Kittel, Tim A1 - Merli, Dominik A1 - Scholl, Gerd T1 - Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks T2 - 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA) KW - security KW - private 5G KW - DPI KW - machine learning Y1 - 2025 SN - 979-8-3315-5383-8 U6 - https://doi.org/10.1109/ETFA65518.2025.11205743 SP - 1 EP - 4 PB - IEEE ER - TY - CHAP A1 - Werlitz, Viktor A1 - Kleybolte, Lukas A1 - Balic, Sabahudin A1 - Mess, Elisabeth Veronica A1 - Mahler, Andreas A1 - Reuter, Claudia A1 - Teynor, Alexandra ED - Röhrig, Rainer ED - Ganslandt, Thomas ED - Jung, Klaus ED - Kock-Schoppenhauer, Ann-Kristin ED - König, Jochem ED - Sax, Ulrich ED - Sedlmayr, Martin ED - Spreckelsen, Cord ED - Zapf, Antonia T1 - From Proprietary Printed Forms to Standardized Digital Exchange Formats – Care Transition Records to FHIR as an Example T2 - German Medical Data Sciences 2025: GMDS Illuminates Health KW - machine learning KW - care transition record (CTR) KW - FHIR KW - medical information objects (MIO) KW - Pflegeinformationsobjekt (PIO) KW - care information object (CIO) Y1 - 2025 SN - 978-1-64368-615-8 U6 - https://doi.org/10.3233/SHTI251392 SN - 0926-9630 IS - (Studies in Health Technology and Informatics;331) SP - 162 EP - 169 PB - IOS Press CY - Amsterdam ER - TY - INPR A1 - Joppich, Philipp A1 - Dorn, Sebastian A1 - De Candido, Oliver A1 - Utschick, Wolfgang A1 - Knollmüller, Jakob T1 - Classification and Uncertainty Quantification of Corrupted Data Using Semi-Supervised Autoencoders KW - Bayesian inference KW - machine learning KW - inverse problems KW - reconstruction problems KW - uncertainty quantification Y1 - 2021 U6 - https://doi.org/10.48550/arXiv.2105.13393 N1 - arXiv.org - Non-exclusive license to distribute (http://arxiv.org/licenses/nonexclusive-distrib/1.0/) N1 - überarbeitete Version 2 des Preprints erschien am 20.04.2023 unter dem Titel "Classification and Uncertainty Quantification of Corrupted Data Using Supervised Autoencoders" (https://arxiv.org/abs/2105.13393v2) IS - v1 PB - arxiv.org ER - TY - INPR A1 - Tang, Yunlei A1 - Dorn, Sebastian A1 - Savani, Chiragkumar T1 - Center3D: Center-Based Monocular 3D Object Detection with Joint Depth Understanding KW - computer vision KW - pattern recognition KW - machine learning Y1 - 2020 U6 - https://doi.org/10.48550/arXiv.2005.13423 N1 - arXiv.org - Non-exclusive license to distribute (https://arxiv.org/licenses/nonexclusive-distrib/1.0) PB - arxiv.org ER - TY - INPR A1 - Geyer, Jakob A1 - Kassahun, Yohannes A1 - Mahmudi, Mentar A1 - Ricou, Xavier A1 - Durgesh, Rupesh A1 - Chung, Andrew S. 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Copyright may be transferred without notice, after which this version may no longer be accessible. PB - arxiv.org ER - TY - CHAP A1 - Joppich, Philipp A1 - Dorn, Sebastian A1 - De Candido, Oliver A1 - Knollmüller, Jakob A1 - Utschick, Wolfgang T1 - Classification and Uncertainty Quantification of Corrupted Data Using Supervised Autoencoders T2 - Physical Sciences Forum KW - Bayesian inference KW - machine learning KW - inverse problems KW - reconstruction problems KW - uncertainty quantification Y1 - 2022 U6 - https://doi.org/10.3390/psf2022005012 SN - 2673-9984 VL - 5 IS - 2022,1 PB - MDPI ER - TY - JOUR A1 - Studier‑Fischer, Alexander A1 - Seidlitz, Silvia A1 - Sellner, Jan A1 - Özdemir, Berkin A1 - Wiesenfarth, Manuel A1 - Ayala, Leonardo A1 - Odenthal, Jan A1 - Knödler, Samuel A1 - Kowalewski, Karl Friedrich A1 - Haney, Caekan Max A1 - Camplisson, Isabella A1 - Dietrich, Maximilian A1 - Schmidt, Karsten A1 - Salg, Gabriel Alexander A1 - Kenngott, Hannes Götz A1 - Adler, Tim Julian A1 - Schreck, Nicholas T1 - Spectral Organ Fingerprints for Machine Learning-Based Intraoperative Tissue Classification with Hyperspectral Imaging in a Porcine Model JF - 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SP - 3461 EP - 3470 PB - Computer Vision Foundation ER - TY - INPR A1 - Neumeier, Marion A1 - Dorn, Sebastian A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models KW - conditioned Vehicle Motion Diffusion (cVMD) KW - trajectory prediction KW - machine learning Y1 - 2024 U6 - https://doi.org/10.48550/arXiv.2405.14384 N1 - Accepted at IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops (CVPRW) 2024 N1 - Lizenz: http://arxiv.org/licenses/nonexclusive-distrib/1.0/ ER - TY - JOUR A1 - Kratsch, Wolfgang A1 - Manderscheid, Jonas A1 - Röglinger, Maximilian A1 - Seyfried, Johannes T1 - Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction JF - Business & information systems engineering KW - predictive process monitoring KW - business process management KW - outcome prediction KW - deep learning KW - machine learning Y1 - 2020 U6 - https://doi.org/10.1007/s12599-020-00645-0 SN - 1867-0202 VL - 63 IS - 2021,3 SP - 261 EP - 276 ER - TY - CHAP A1 - Gisi, Markus A1 - Schöler, Thorsten A1 - Legat, Christoph T1 - Automatic Identification of Requirements from Specification in Special Machinery Engineering: A Human-in-the-Loop Classification Approach T2 - 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) KW - requirement engineering KW - machine learning KW - natural language processing Y1 - 2023 SN - 979-8-3503-3991-8 U6 - https://doi.org/10.1109/ETFA54631.2023.10275687 SN - 1946-0759 PB - IEEE ER - TY - CHAP A1 - Lenz, Jürgen T1 - Overview, Trends and Future Applications of Artificial Intelligence in Manufacturing T2 - Proceedings of the 6th European Conference on Industrial Engineering and Operations Management KW - smart manufacturing KW - industry 4.0 KW - artificial intelligence KW - machine learning KW - data analytics Y1 - 2023 SN - 979-8-3507-0547-8 U6 - https://doi.org/10.46254/EU6.20230468 SN - 2169-8767 SP - 1672 EP - 1679 PB - IEOM Society International ER - TY - JOUR A1 - Hummelsberger, Pia A1 - Koch, Timo K. 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A1 - Rauh, Sabrina A1 - Dorn, Julia A1 - Lermer, Eva A1 - Raue, Martina A1 - Hudecek, Matthias F. C. A1 - Schicho, Andreas A1 - Colak, Errol A1 - Ghassemi, Marzyeh A1 - Gaube, Susanne T1 - Insights on the Current State and Future Outlook of Artificial Intelligence in Healthcare From Expert Interviews T2 - Journal of Medical Internet Research Preprints KW - artificial intelligence KW - machine learning KW - healthcare KW - digital health technology Y1 - 2023 U6 - https://doi.org/10.2196/preprints.47353 N1 - This is a privileged document currently under peer-review/community review. Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review purposes only. While the final peer-reviewed paper may be licensed under a CC BY license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes. ER - TY - CHAP A1 - Lenz, Jürgen A1 - Pelosi, Valerio A1 - Taisch, Marco A1 - MacDonald, Eric A1 - Wuest, Thorsten T1 - Data-driven Context Awareness of Smart Products in Discrete Smart Manufacturing Systems T2 - Procedia Manufacturing KW - smart manufacturing KW - machine learning KW - sensor integration KW - ANN KW - PLM Y1 - 2020 U6 - https://doi.org/10.1016/j.promfg.2020.11.008 SN - 2351-9789 VL - 52 SP - 38 EP - 43 ER - TY - CHAP A1 - Hodovychenko, Mykola A1 - Antoshchuk, Svitlana A1 - Lobachev, Ivan A1 - Schöler, Thorsten A1 - Lobachev, Mykhaylo ED - Babichev, Sergii ED - Lytvynenko, Volodymyr T1 - Approaches and Techniques to Improve Machine Learning Performance in Distributed Transducer Networks T2 - Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making : International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence" (ISDMCI 2022) KW - transducer networks KW - Internet of Things KW - machine learning KW - neural network compression KW - multisensory data Y1 - 2022 SN - 978-3-031-16202-2 U6 - https://doi.org/10.1007/978-3-031-16203-9_29 SN - 2367-4512 SP - 511 EP - 524 PB - Springer CY - Cham ER - TY - CHAP A1 - Schreiber, Martin A1 - Klöber-Koch, Jan A1 - Bömelburg-Zacharias, Johanna A1 - Braunreuther, Stefan A1 - Reinhart, Gunther T1 - Automated Quality Assurance as an Intelligent Cloud Service Using Machine Learning T2 - Procedia CIRP KW - methodology KW - quality assurance KW - machine learning Y1 - 2020 U6 - https://doi.org/10.1016/j.procir.2020.01.034 SN - 2212-8271 VL - 86 SP - 185 EP - 191 ER - TY - JOUR A1 - Konhäuser, Koray A1 - Wenninger, Simon A1 - Werner, Tim A1 - Wiethe, Christian T1 - Leveraging advanced ensemble models to increase building energy performance prediction accuracy in the residential building sector JF - Energy and buildings : an internat. journal of research applied to energy efficiency in the built environment KW - building energy performance KW - energy quantification methods KW - machine learning KW - ensemble learning KW - artificial intelligence KW - building energy consumption KW - supervised learning KW - energy efficiency Y1 - 2022 U6 - https://doi.org/10.1016/j.enbuild.2022.112242 SN - 0378-7788 VL - 269 ER -