Studierende im KI-Diskurs. Wie Studierende in einem Workshopformat über den KI-Einsatz informiert und zum Nachdenken über KI-gestütztes Lehren und Lernen angeregt werden. Künstliche Intelligenz in der Hochschulbildung. Chancen und Grenzen des KI-gestützten Lernens und Lehrens, (Hochschulbildung: Lehre und Forschung)2023. [PUMA: Learning Unsupervised] URL
Simulationsmodelle der Virtuellen Inbetriebnahme als Lernumgebung für Reinforcement Learning. In Alexander Verl, Sascha Röck, and Christian Scheifele (Eds.), Echtzeitsimulation in der Produktionsautomatisierung: Beiträge zu Virtueller Inbetriebnahme, Digitalem Engineering und Digitalen Zwillingen, 213--227, Springer Berlin Heidelberg, Berlin, Heidelberg, 2024. [PUMA: isw learning myown simulation] URL
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023. [PUMA: graph; learning machine] URL
Tool condition monitoring in drilling processes using anomaly detection approaches based on control internal data. Procedia CIRP, (121):216–221, Elsevier BV, 2024. [PUMA: analysis anomaly condition detection learning machine machining manufacturing monitoring networks neural process series time tool] URL
Why we need biased AI: How including cognitive biases can enhance AI systems. Journal of Experimental & Theoretical Artificial Intelligence, 1--14, 2023. [PUMA: artificial bias;machine intelligence;cognitive learning]
Personality Traits in the Emotion-Performance-Relationship in Intelligent Tutoring Systems. Adaptive Instructional Systems. HCII 2023. Lecture Notes in Computer Science, 60–75, Springer, 2023. [PUMA: cognition emotion imported instruction learning llis myown performance personality simtech] URL
Prediction of Cutting Surface Parameters in Punching Processes aided by Machine Learning. 2023. [PUMA: cutting learning machine parameter punching surface]
Virtual Commissioning Simulation as OpenAI Gym - A Reinforcement Learning Environment for Control Systems. 2022 5th International Conference on Artificial Intelligence for Industries (AI4I), 64-67, September 2022. [PUMA: commissioning isw learning myown virtual]
Embedding reflective learning opportunities in teaching about intelligent systems. In Gabriella Lapesa, Lukas Erhard, Curtis Runstedler, and Sierra Kaiser (Eds.), Reflection on intelligent systems: Towards a cross-disciplinary definition, 2022. [PUMA: AI instruction learning myown reflection teaching]
Adaptive Neural Network-based OFDM Receivers. 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022. [PUMA: deep inue learning myown network neural ofdm receiver] URL
Adaptive compensation of the transmission errors in rack-and-pinion drives. In CIRP Annals Manufacturing Technology (Eds.), CIRP Annals, (71)1:345--348, Elsevier BV, 2022. [PUMA: Compensation Feed Learning Machine drive tool] URL
“Wild sisters” meet app: Connecting virtual and real worlds to foster environmental awareness in classroom settings. 2022. [PUMA: classroom education environment learning llis myown sustainability technology]
Augmented learning contexts: Leveraging augmented technologies to foster self-regulation in everyday life. 2022. [PUMA: AI cognition feedback learning llis myown self-regulation]
Augmented learning – An emerging field in instructional research?. 2022. [PUMA: augmented cognition instruction learning llis myown]
Open Divide. Critical Studies on Open Access. In Ulrich Herb, and Joachim Schöpfel (Eds.), Library Juice Press, Sacramento, CA, 2018. [PUMA: Access Communication Literatur Open Wissenschaftliche Wissenschaftskommunikation access and in learning publishing scholarship science] URL
Mind wandering trait-level tendencies during lecture viewing: A pilot study. 2022 Symposium on Eye Tracking Research and Applications (ETRA '22), June 8–11, 2022, Seattle, WA, USA, ACM, New York, NY, USA, 2022. [PUMA: attention cognition instruction learning mind-wandering myown video] URL
Post-Anthropocene: The Design after the Human Centered Design Age. In Dominik Holzer, Walaiporn Nakapan, Anastasia Globa, and Immanuel Koh (Eds.), CAADRIA 2020: Re:Anthropocene - Design in the Age of Humans, (2):203-212, Association for Computer Aided Architectural Design in Asia, 2020. [PUMA: approach architetural biodiversity learning machine morre-than-human myown performance post-Anthropocene systemic to urban] URL
Spiralling Slope as a Real Life Co-Design Laboratory. In Jonathan Bean, Susannah Dickinson, and Aletheia Ida (Eds.), 133-142, University of Arizona, 2018. [PUMA: biodiversity codesign ecosystem gigamapping learning life machine myown performance] URL
sysloop. In Jonathan Bean, Susannah Dickinson, and Aletheia Ida (Eds.), 132-141, University of Arizona, 2018. [PUMA: architecture codesign intelligent learning machine myown responsive systems] URL
Mindshift : Break Through Obstacles to Learning and Discover Your Hidden Potential. Penguin Publishing Group, East Rutherford, 2017. [PUMA: learning neuroscience psychology] URL