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Publikationen

Zeige Ergebnisse 1431 bis 1440 von 14521.
  1. Michael Grohs; Peter Pfeiffer; Jana-Rebecca Rehse

    Proactive conformance checking: An approach for predicting deviations in business processes

    In: Information Systems (IS), Vol. 102461, Springer, 2024.

  2. Peter Pfeiffer; Peter Fettke

    Trace vs. Time: Entropy Analysis and Event Predictability of Traceless Event Sequencing

    In: Andrea Marrella; Manuel Resinas; Mieke Jans; Michael Rosemann (Hrsg.). Business Process Management Forum. Business Process Management (BPM-2024), Cham, Pages 72-89, ISBN 978-3-031-70418-5, Springer Nature Switzerland, 2024.

  3. A Deep-Learning Approach for Visual Detection of an AUV Docking Station

    In: Proceedings of Oceans 2024. OCEANS MTS/IEEE Conference (OCEANS-2024), Halifax, September 23-26, Halifax, Canada, IEEE, 2024.

  4. Moritz Lucas; Viacheslav Barkov; Ralf Pecenka; Martin Atzmueller; Björn Waske

    Mapping Trees outside Forests using Semantic Segmentation

    In: Proc. IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2024), Pages 4435-4438, IEEE, 2024.

  5. Dan Hudson; Jurgen van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller

    Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults

    In: Proceedings 2024 IEEE Conference on Artificial Intelligence (CAI). IEEE Conference on Artificial Intelligence (CAI-2024), June 25-27, Marina Bay Sands, Singapore, Pages 1350-1356, IEEE Xplore, 2024.

  6. Jurgen Van Den Hoogen; Dan Hudson; Martin Atzmueller

    Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters

    In: Proc. IEEE International Conference on Data Engineering Workshops (ICDEW). IEEE International Conference on Data Engineering (ICDE-2024), Pages 91-95, IEEE, 2024.

  7. Ruud. J. R. Den Hartigh; L. Rens A. Meerhoff; Nico W. Van Yperen; Niklas D. Neumann; Jur J. Brauers; Wouter G. P. Frencken; Ando Emerencia; Yannick Hill; Sebastiaan Platvoet; Martin Atzmueller; Koen A. P. M. Lemmink; Michel S. Brink

    Resilience in Sports: A Multidisciplinary, Dynamic, and Personalized Perspective

    In: International Review of Sport and Exercise Psychology, Vol. 17, No. 1, Pages 564-586, Routledge, 2024.

  8. Arnab Ghosh Chowdhury; David Massanés; Steffen Meinert; Martin Atzmueller

    A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives

    In: J.M. Ferrández Vicente; M. Val Calvo; H. Adeli (Hrsg.). Artificial Intelligence for Neuroscience and Emotional Systems. International Conference on the Interplay between Natural and Artificial Computation (IWINAC-2024), June 4-7, Olhâo, Portugal, Pages 496-506, Lecture Notes in Computer Science (LNCS), Vol. 14674, Springer, Cham, 5/2024.

  9. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmüller

    Change Detection in Automotive Radar Based Occupancy Maps Using Siamese Networks

    In: 2024 International Radar Symposium (IRS). International Radar Symposium (IRS-2024), located at Microwave and Radar Week (MRW 2024), July 2-4, Poland, Pages 56-61, IEEE, 2024.

  10. Dan Hudson; Martin Atzmueller

    Subgroup Discovery with SD4Py

    In: Proc. European Conference on Artificial Intelligence Workshops. European Conference on Artificial Intelligence (ECAI-2023), ECAI Workshops, Pages 338-348, Springer, 2024.