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Publications

Displaying results 141 to 150 of 661.

  1. Ihab Alzalam; Christoph Lipps; Hans Dieter Schotten

    Time-Series Forecasting Models for 5G Mobile Networks: A Comparative Study in a Cloud Implementation

    In: IEEE 15th International Conference on Network of the Future. International Conference on Network of the Future (NoF-2024), October 2-4, Castelldefels (Barcelona), Spain, IEEE, 2024.

  2. Lotfy Abdel Kaliq; Sabine Janzen; Wolfgang Maaß

    Unleashing the Unpredictable: Generating Context-Driven Synthetic Black Swans

    In: Proceedings of Forty-Fifth International Conference on Information Systems. International Conference on Information Systems (ICIS-2024), December 15-18, Bangkok, Thailand, 12/2024.

  3. 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.

  4. 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.

  5. 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.

  6. Ankur Bhatt; Ko Watanabe; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks

    In: IEEE Access (IEEE), Vol. 12, Pages 192219-192229, IEEE, 2024.

  7. Daniel Sonntag; Thiago Gouvea; Michael Barz; Aliki Anagnostopoulou; Siting Liang; Sara-Jane Bittner; Franziska Scheurer

    The Interactive Deep Learning Enterprise (No-IDLE) meets ChatGPT

    German Research Center for AI, DFKI Technical Report, 2024.

  8. Niharika Hegde; Shishir Muralidhara; René Schuster; Didier Stricker

    Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation

    In: IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, IEEE, 2025.

  9. Dayananda Herurkar; Federico Raue; Andreas Dengel

    Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection

    In: Association for Computing Machinery (ACM) (Hrsg.). Proceedings of the 5th ACM International Conference on AI in Finance. International Conference on AI in Finance (ICAIF-2024), ICAIF '24, located at ICAIF, November 14-17, Brooklyn, New York, New York, USA, Pages 804-812, Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24), No. 9, ISBN 9798400710810, Association for Computing Machinery, New York, NY, USA, 11/2024.

  10. Katharina Bendig; René Schuster; Nicole Thiemer; Karen Joisten; Didier Stricker

    AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy

    In: IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, Institute of Electrical and Electronics Engineers (IEEE), 2025.

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