TY - JOUR A1 - Mertes, Silvan A1 - Huber, Tobias A1 - Weitz, Katharina A1 - Heimerl, Alexander A1 - André, Elisabeth T1 - GANterfactual—Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning JF - Frontiers in Artificial Intelligence KW - generative adversarial networks KW - explainable AI KW - machine learning KW - counterfactual explanations KW - interpretable machine learning KW - image-to-image translation Y1 - 2022 U6 - https://doi.org/10.3389/frai.2022.825565 SN - 2624-8212 VL - 5 PB - Frontiers Media SA ER - TY - JOUR A1 - Scholz, Julia Katharina A1 - Kraus, Andre A1 - Lüder, Dominik A1 - Skoczynski, Kathrin A1 - Schiffer, Mario A1 - Grampp, Steffen A1 - Schödel, Johannes A1 - Buchholz, Bjoern T1 - Loss of Polycystin-1 causes cAMP-dependent switch from tubule to cyst formation JF - iScience KW - nephrology KW - machine learning Y1 - 2022 U6 - https://doi.org/10.1016/j.isci.2022.104359 SN - 2589-0042 VL - 25 IS - 2022,6 PB - Elsevier BV ER - TY - CHAP A1 - Meyer-Hollatz, Tim A1 - Schwarz, Nina A1 - Werner, Tim T1 - Punctuality Predictions in Public Transportation: Quantifying the Effect of External Factors T2 - Lecture Notes in Information Systems and Organisation KW - automatic vehicle location KW - punctuality prediction KW - public transportation KW - machine learning Y1 - 2025 SN - 9783031801211 U6 - https://doi.org/10.1007/978-3-031-80122-8_25 SN - 2195-4968 VL - 75 SP - 395 EP - 410 PB - Springer Nature Switzerland CY - Cham ER - TY - JOUR A1 - Fabri, Lukas A1 - Leuthe, Daniel A1 - Schneider, Lars-Manuel A1 - Wenninger, Simon T1 - Fostering Non-intrusive Load Monitoring for Smart Energy Management in Industrial Applications: An Active Machine Learning Approach JF - Energy Informatics KW - smart energy management KW - active learning KW - energy efficiency KW - machine learning KW - non-intrusive load monitoring Y1 - 2025 U6 - https://doi.org/10.1186/s42162-025-00517-5 SN - 2520-8942 VL - 8 IS - 2025,1 PB - Springer Science and Business Media LLC ER - TY - CHAP A1 - Schiller, Dominik A1 - Mertes, Silvan A1 - Achzet, Marcel A1 - Hellmann, Fabio A1 - Schlagowski, Ruben A1 - André, Elisabeth ED - Fred, Ana ED - Hadjali, Allel ED - Gusikhin, Oleg ED - Sansone, Carlo T1 - More Than Noise: Assessing the Viscosity of Food Products Based on Sound Emission T2 - Deep Learning Theory and Applications: 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I KW - machine learning KW - Industry 4.0 KW - viscosity estimation Y1 - 2024 SN - 978-3-031-66693-3 SN - 978-3-031-66694-0 U6 - https://doi.org/10.1007/978-3-031-66694-0_13 SN - 1865-0929 SN - 1865-0937 IS - Schriftenreihe: Communications in Computer and Information Science, 2171 SP - 210 EP - 218 PB - Springer Nature Switzerland CY - Cham ER - TY - CHAP A1 - Schlagowski, Ruben A1 - Mertes, Silvan A1 - Schiller, Dominik A1 - Can, Yekta Said A1 - André, Elisabeth ED - Fred, Ana ED - Hadjali, Allel ED - Gusikhin, Oleg ED - Sansone, Carlo T1 - Exploring Physiology-Based Classification of Flow During Musical Improvisation in Mixed Reality T2 - Deep Learning Theory and Applications: 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I KW - affective computing KW - machine learning KW - physiological signals KW - flow state KW - music collaboration KW - networked music performance KW - mixed reality KW - augmented reality KW - virtual reality Y1 - 2024 SN - 978-3-031-66693-3 SN - 978-3-031-66694-0 U6 - https://doi.org/10.1007/978-3-031-66694-0_18 SN - 1865-0929 SN - 1865-0937 IS - Schriftenreihe: Communications in Computer and Information Science, 2171 SP - 296 EP - 309 PB - Springer Nature Switzerland CY - Cham ER - TY - JOUR A1 - Boulogne, Luuk H. 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 - 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 - JOUR A1 - Meitz, Lukas A1 - Senge, Julia A1 - Wagenhals, Tim A1 - Schöler, Thorsten A1 - Hähner, Jörg A1 - Edinger, Janick A1 - Krupitzer, Christian T1 - A Literature Review Framework and Open Research Challenges for Predictive Maintenance in Industry 4.0 JF - Computers & Industrial Engineering KW - machine learning KW - predictive maintenance KW - Industry 4.0 KW - Industrial IoT KW - forecasting KW - anomaly detection Y1 - 2025 U6 - https://doi.org/10.1016/j.cie.2025.111193 SN - 0360-8352 VL - 206 PB - Elsevier BV ER - TY - JOUR A1 - Fabri, Lukas A1 - Häckel, Björn A1 - Keller, Robert A1 - Oberländer, Anna Maria T1 - How to Select Algorithms for Predictive Maintenance: An Economic Decision Model and Real-World Instantiation JF - International Journal of Information Technology & Decision Making : IJITDM KW - predictive maintenance KW - algorithm selection KW - decision model KW - economic perspective KW - machine learning KW - prediction error Y1 - 2025 U6 - https://doi.org/10.1142/S0219622024500147 SN - 0219-6220 VL - 24 IS - 2025,2 PB - World Scientific Publishing ER - TY - CHAP A1 - Anantavrasilp, Isara A1 - Schöler, Thorsten T1 - Providing Quality-of-Service Support to Legacy Applications Using Machine Learning T2 - Proceedings of the IADIS International Telecommunications, Networks and Systems 2007 KW - quality-of-service KW - legacy applications KW - network KW - data mining KW - machine learning Y1 - 2007 UR - https://www.iadisportal.org/digital-library/providing-quality-of-service-support-to-legacy-applications-using-machine-learning SN - 978-972-8924-40-9 SP - 75 EP - 83 ER - TY - JOUR A1 - Leuthe, Daniel A1 - Meyer-Hollatz, Tim A1 - Plank, Tobias A1 - Senkmüller, Anja T1 - Towards Sustainability of AI – Identifying Design Patterns for Sustainable Machine Learning Development JF - Information systems frontiers KW - Artificial Intelligence KW - design patterns KW - ESG KW - machine learning KW - sustainability of AI Y1 - 2024 U6 - https://doi.org/10.1007/s10796-024-10526-6 SN - 1572-9419 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 - Wenninger, Simon A1 - Kaymakci, Can Osman A1 - Wiethe, Christian A1 - Römmelt, Jörg A1 - Baur, Lukas A1 - Häckel, Björn A1 - Sauer, Alexander T1 - How Sustainable is Machine Learning in Energy Applications? – The Sustainable Machine Learning Balance Sheet T2 - Wirtschaftsinformatik 2022 Proceedings. Track 5: Sustainable Sustainable Information Systems, Energy Informatics & Climate Protection KW - machine learning KW - sustainability KW - Green IS KW - data-driven approaches KW - energy informatics Y1 - 2022 UR - https://aisel.aisnet.org/wi2022/sustainable_it/sustainable_it/1/ ER - TY - JOUR A1 - Oğuz, Faruk Enes A1 - Alkan, Ahmet A1 - Schöler, Thorsten T1 - Emotion Detection from ECG Signals with Different Learning Algorithms and Automated Feature Engineering JF - Signal, Image and Video Processing KW - emotion detection KW - machine learning KW - deep learning KW - ECG KW - BiLSTM Y1 - 2023 U6 - https://doi.org/10.1007/s11760-023-02606-y SN - 1863-1711 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 - 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 -