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Publications

Displaying results 311 to 320 of 681.

  1. Johannes Lahann; Peter Pfeiffer; Peter Fettke

    LSTM-based Anomaly Detection of Process Instances: Benchmark and Tweaks

    In: Proceedings of the 4th International Conference on Process Mining (Workshops). International Conference on Process Mining (ICPM-2022), Process Mining Workshops, October 23-28, Bolzano, Italy, Lecture Notes in Business Information Processing, Springer, 2023.

  2. Saifullah Saifullah; Dominique Mercier; Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods

    In: Frontiers in Artificial Intelligence, Vol. 7, Pages 1-26, Frontiers, 7/2024.

  3. Sankalp Sinha; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

    In: Applied Sciences, Vol. 12, No. 20, Pages 1-22, MDPI, Switzerland, 10/2022.

  4. Alexander Dettmann; Malte Langosz; Jonas Eisenmenger; Marc Otto; Sebastian Kasperski; Malte Wirkus; Nayari Lessa

    Ground Interaction Models for Increased Autonomy of Planetary Exploration Systems

    In: 13th EASN International Conference on Innovation in Aviation & Space for opening New Horizons (13th EASN 2023). EASN International Conference on Innovation in Aviation and Space for opening New Horizons, September 5-8, Salerno, Italy, Journal of Physics: Conference Series (JPCS), Vol. 2716, IOP Publishing Ltd, 3/2024.

  5. Huy Phan; Thi Ngoc Tho Nguyen; Philipp Koch; Alfred Mertins

    Polyphonic Audio Event Detection: Multi-Label or Multi-Class Multi-Task Classification Problem?

    In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing. International Conference on Acoustics, Speech and Signal Processing (ICASSP-2022), Pages 8877-8881, IEEE, 2022.

  6. Huy Phan; Alfred Mertins; Mathias Baumert

    Pediatric Automatic Sleep Staging: A comparative study of state-of-the-art deep learning methods

    In: IEEE Transactions on Biomedical Engineering (TBME), Vol. Early Access, Pages 1-1, IEEE, 2022.

  7. Huy Phan; Kaare Mikkelsen; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos

    SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification

    In: IEEE Transactions on Biomedical Engineering (TBME), Vol. 69, No. 8, Pages 2456-2467, IEEE, 2022.

  8. Tim J. Parbs; Philipp Koch; Alfred Mertins

    Convolutive Attention for Image Registration

    In: Proc. European Signal Processing Conference. European Signal Processing Conference (EUSIPCO-2022), August 28 - September 2, Belgrade, Serbia, Pages 1348-1352, IEEE, 2022.

  9. Sirko Straube; Nina Hoyer; Niels Will; Frank Kirchner

    The Challenge of Autonomy: What We Can Learn from Research on Robots Designed for Harsh Environments

    In: Uwe Engel (Hrsg.). Robots in Care and Everyday Life. Chapter 4, Pages 57-80, Springer, 10/2022.

  10. Mohsin Munir; Muhammad Ali Chattha; Sheraz Ahmed; Andreas Dengel

    A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

    In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2019), December 16-19, Boca Raton, Florida, USA, Pages 561-566, ISBN 978-1-7281-4550-1, IEEE, 12/2019.

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