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Publikationen

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  1. Julie Gandrup; David Antony Selby; William Dixon

    Classifying self-reported rheumatoid arthritis flares using daily patient-generated data from a smartphone app: exploratory analysis applying machine learning approaches

    In: JMIR Formative Research (JMIR Form Res), Vol. 8, Page e50679, JMIR Publications, 5/2024.

  2. Florian Cordes; Babu Ajish; Tobias Stark

    Sherpa, a family of wheeled-leg rovers

    In: Shivesh Kumar; Andreas Mueller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Pages 281-304, Vol. 514, ISBN 978-0-323-88482-2, Elsevier Science, 12/2024.

  3. Maximilian Albracht; Shivesh Kumar; Shubham Vyas; Frank Kirchner

    Model Predictive Parkour Control of a Monoped Hopper in Dynamically Changing Environments

    In: Andrea Del Prete; Abderrahmane Kheddar (Hrsg.). IEEE Robotics and Automation Letters (RA-L), Vol. 9, No. 10, Pages 8507-8514, IEEE, 10/2024.

  4. Roswitha Duwenbeck; Elsa Andrea Kirchner

    A Machine Learning Approach for Resource-efficient and Subject-independent Speech Based Stress Detection

    In: 2024 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES-2024), December 11-13, Penang, Malaysia, ISBN 979-8-3503-8340-9, IEEE, 2024.

  5. Jan Christoph Krause; Sebastian Röttgermann; Alexander Tauber; Jens Herbers; Stefan Menke; Mark Niemeyer; Lutz Plagge; Benedikt Thy; Hannes Hollmeier; Stefan Stiene; Joachim Hertzberg

    Field Trials and Evaluation Methods for Sensors used in Perception Systems for Autonomous Machinery with Respect to SOTIF

    In: LAND.TECHNIK AgEng 2024. International Conference on Agricultural Engineering (AgEng-2024), November 6-7, Osnabrück, VDI Verlag, 2024.

  6. Ronny Seiger; Lukas Malburg

    Revision of a Smart Factory Software Architecture from Monolith to Microservices

    In: Monika Kaczmarek-Heß; Kristina Rosenthal; Marek Suchánek; Miguel Mira Da Silva; Henderik A. Proper; Marianne Schnellmann (Hrsg.). Enterprise Design, Operations, and Computing. EDOC 2024 Forum, Vienna, Austria, September 10-13, 2024. Enterprise Distributed Object Computing (EDOC-2024), Pages 203-220, Lecture Notes in Business Information Processing, Vol. 537, ISBN 978-3-031-79058-4, Springer, 2024.

  7. Stefan Gerd Fritsch; Federico Cruciani; Vitor Fortes Rey; Ian Cleland; Luke Nugent; Paul Lukowicz; Chris Nugent

    Hierarchical Zero-Shot Approach for Human Activity Recognition in Smart Homes

    In: José Bravo; Chris Nugent; Ian Cleland (Hrsg.). Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024). International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI-2024), 16th International Conference on Ubiquitous Computing and Ambient Intelligence, November 27-29, Belfast, United Kingdom, Pages 163-175, ISBN 978-3-031-77571-0, Springer Nature Switzerland, 2024.

  8. Matthias Tschöpe; Stefan Gerd Fritsch; David Kariem Habusch; Vitor Fortes Rey; Agnes Grünerbl; Paul Lukowicz

    Evaluating Deep Learning Models for Posture and Movement Recognition During the ABCDE Protocol in Nurse Education

    In: 2024 International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC-2024), 6th International Conference on Activity and Behavior Computing, May 28-31, Nakatsu, Japan, Pages 1-10, IEEE, 2024.

  9. Leo Wanner; Daniel Bowen; Marta Burgos; Ester Carrasco; Jan Černocký; Toni Codina; Jevgenijs Danilins; Steffi Davey; Joan de Lara; Eleni Dimopoulou; Ekaterina Egorova; Christine Gebhard; Jens Grivolla; Elena Jaramillo-Rojas; Matthias Klusch; Athanasios Mavropoulos; Maria Moudatsou; Artemisia Nikolaidou; Dimos Ntioudis; Irene Rodríguez; Mirela Rosgova; Yash Shekhawat; Alexander Shvets; Oleksandr Sobko; Grigoris Tzionis; Stefanos Vrochidis

    Support of Migrant Reception, Integration, and Social Inclusion by Intelligent Technologies

    In: Information, Vol. 15, No. 11, Pages 686-718, MDPI, 2024.

  10. Antonio Macaluso

    Quantum Supervised Learning

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 1, Pages 1-15, Springer, 2024.

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