TY - INPR A1 - Neumeier, Marion A1 - Tollkühn, Andreas A1 - Dorn, Sebastian A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Gradient Derivation for Learnable Parameters in Graph Attention Networks KW - machine learning KW - artificial intelligence Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2304.10939 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. 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 - INPR 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 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 -