Skip to main content Skip to main navigation

Publications

Displaying results 2481 to 2490 of 14774.

  1. Peter Pfeiffer; Alexander Michael Rombach; Maxim Majlatow; Nijat Mehdiyev

    From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation

    In: SIGMOD 2025 - Next Gen Data and Process Management. ACM SIGMOD International Conference on Management of Data (SIGMOD-2025), June 22-27, Berlin, Germany, ACM, 2025.

  2. Jürgen Mangler; Ronny Seiger; Janik-Vasily Benzin; Joscha Grüger; Yusuf Kirikkayis; Florian Gallik; Lukas Malburg; Matthias Ehrendorfer; Yannis Bertrand; Marco Franceschetti; Barbara Weber; Stefanie Rinderle-Ma; Ralph Bergmann; Estefanía Serral Asensio; Manfred Reichert

    From Internet of Things Data to Business Processes: Challenges and a Framework

    In: Giancarlo Fortino; Massimo Mecella. Internet of Things Meets Business Process Management: A Synergistic Integration. Pages 25-61, ISBN 978-3-031-90746-3, Springer, 2026.

  3. Wakiya Schulz; Clemens Fritzsch; Tobias Rosenkranz; Pascal Ahr; Antonio Saavedra; Lars Renkes; Christoph Lipps; Jörn Hoffmann

    Analysis of SRAM-based PUFs on AMD Xilinx UltraScale+ FPGAs

    In: Proceedings of the 2025 IEEE Conference on Communications and Network Security (CNS) - Poster. IEEE Conference on Communications and Network Security (IEEE CNS-2025), September 8-11, Avignon, France, IEEE, 8/2025.

  4. Xinghao Wang; Zaimin Zhu; Xinyuan Xu; Jing Sun; Li Jia; Yan Huang; Qian Chen; Zhenghan Yang; Pengfei Zhao; Xinyu Huang; Marcin Grzegorzek; Yong Liu; Han Lv; Fangrong Zong; Zhenchang Wang

    Construction of brain age models based on structural and white matter information

    In: Brain Research, Vol. 1851, Pages 149458-149458, Elsevier, 3/2025.

  5. Md Abid Hasan; Frédéric Li; Philip Gouverneur; Artur Piet; Marcin Grzegorzek

    A comprehensive survey and comparative analysis of time series data augmentation in medical wearable computing

    In: PLOS One, Vol. 20, No. 3, Pages e0315343-e0315343, Public Library of Science, 3/2025.

  6. Sebastian Wolfrum

    Wie kann KI die Effizienz einer Notaufnahme steigern?

    In: KU Gesundheitsmanagement, Vol. 4, Pages 14-16, mgo fachverlage GmbH & Co. KG, 2025.

  7. Robert Simon Schiff; Natalie Kohler; Mareike Böckel; Ralf Möller; Sebastian Wolfrum; Mattis Hartwig

    Early Prediction of Hospital Admission and Specialty for Proactive Bed Allocation in the Emergency Department

    In: npj Digital Medicine, Nature Portfolio, 1/2026.

  8. Alexander Winter; Toralf Kirsten; Mattis Hartwig

    Improving Patient Trajectory Forecasts in Hospitals: Using Emergency Department Data for Length of Stay Prediction and Next Hospital Unit Classification

    In: Ana Moita; Katja Bühler; Hesham Ali; Ning Deng; Ioanna Chouvarda; Federico Cabitza; Ana Fred; Hugo Gamboa (Hrsg.). Biomedical Engineering Systems and Technologies. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC-2023), 16th International Joint Conference, BIOSTEC 2023, Lisbon, Portugal, February 16–18, 2023, Revised Selected Papers, February 16-18, Lisbon, Portugal, Pages 84-106, ISBN 978-3-031-67088-6, Springer Nature Switzerland, 7/2024.

  9. Robert Simon Schiff; Natalie Kohler; Sebastian Wolfrum; Ralf Möller; Mattis Hartwig

    Predicting the Bed Occupancy in a Hospital

    In: Maria Pedro Guarino; Kazuhiro Hotta; Malik Yousef; Hui Liu; Giovanni Saggio; Hannes Schlieter; Ana Fred; Hugo Gamboa (Hrsg.). Biomedical Engineering Systems and Technologies. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC-2024), 17th International Joint Conference, BIOSTEC 2024, Rome, Italy, February 21–23, 2024, Revised Selected Papers, located at BIOSTEC-2024, February 21-23, Rom, Italy, Pages 376-403, Vol. 2546, ISBN 978-3-031-96899-0, Springer Nature Switzerland, 2025.

  10. Ho Minh Duy Nguyen; Nghiem Tuong Diep; Trung Nguyen; Hoang-Bao Le; Tai Nguyen; Anh-Tien Nguyen; TrungTin Nguyen; Nhat Ho; Pengtao Xie; Roger Wattenhofer; Daniel Sonntag; James Zou; Mathias Niepert

    Enriched Instruction-Following Graph Alignment for Efficient Medical Vision-Language Models

    In: ICML 2025 Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences. International Conference on Machine Learning (ICML-2025), 2025.

Year

More options