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 - 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 - 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 - 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 - 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 - Scientific Reports KW - hyperspectral imaging KW - machine learning KW - neural networks Y1 - 2022 U6 - https://doi.org/10.1038/s41598-022-15040-w SN - 2045-2322 IS - 2022,12 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 - JOUR A1 - Coşkun, Onur A1 - Aktepe, Rafet A1 - Aldemir, Alper A1 - Erhan Yılmaz, Ali A1 - Durmaz, Murat A1 - Güldür Erkal, Burcu T1 - Seismic Risk Prioritization of Masonry Building Stocks Using Machine Learning JF - Earthquake engineering & structural dynamics KW - machine learning KW - masonry structures KW - rapid visual screening KW - seismic risk classification KW - seismic risk prioritization Y1 - 2024 U6 - https://doi.org/10.1002/eqe.4227 SN - 1096-9845 VL - 53 IS - 2024,14 SP - 4432 EP - 4450 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 - JOUR A1 - Hummelsberger, Pia A1 - Koch, Timo K. 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 AI in Health Care: Expert Interview Study JF - JMIR AI KW - artificial intelligence KW - AI KW - machine learning KW - health care KW - digital health technology KW - technology implementation KW - expert interviews Y1 - 2023 U6 - https://doi.org/10.2196/47353 N1 - zugrundeliegendes Preprint: https://opus4.kobv.de/opus4-hs-augsburg/1091 VL - 2 IS - 2023,1 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 - 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 -