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Publications

Page 1 of 8.

  1. Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Andreas Dengel

    Generative language models potential for requirement engineering applications: insights into current strengths and limitations

    In: Complex & Intelligent Systems, Vol. 11, No. 6, Pages 1-22, Springer, 2025.

  2. Philipp Peter Engler; Ludger van Elst; Peter Schichtel; Andreas Dengel; Sheraz Ahmed

    Time Series Generation for Augmenting Multi-Channel Automotive Audio Data

    In: Lecture Notes in Computer Science. International Conference on Artificial Neural Networks (ICANN-2025), 34th International Conference on Artificial Neural Networks, September 9-12, Kaunas, Lithuania, Lecture Notes in Computer Science (LNCS), Vol. 16070, ISBN 978-3-032-04548-5, Springer, Cham, 2025.

  3. Jean-Francois Nies; Syed Tahseen Raza Rizvi; Mohsin Munir; Ludger van Elst; Andreas Dengel

    Knowledge-aware Object Detection in Traffic Scenes

    In: INSTICC (Hrsg.). Proceedings of the 16th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome (ONLINE), Italy, ISBN 978-989-758-680-4, SciTePress, 2/2024.

  4. Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Peter Schichtel; Andreas Dengel

    RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles

    In: IEEE Access (IEEE), Vol. 12, Pages 21472-21490, Institute of Electrical and Electronics Engineers (IEEE), 2/2024.

  5. Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Andreas Dengel

    FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification

    In: Journal of King Saud University - Computer and Information Sciences, Vol. 35, No. 8 (101665), Elsevier, 9/2023.

  6. Muhammad Ali Chattha; Ludger van Elst; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. NA, Page NA, IEEE, 2023.

  7. Abdul Hannan Khan; Mohsin Munir; Ludger van Elst; Andreas Dengel

    F2DNet: Fast Focal Detection Network for Pedestrian Detection

    In: 26th International Conference on Pattern Recognition 2022. International Conference on Pattern Recognition (ICPR-2022), August 21-25, Montréal, Québec, Canada, IEEE, 2022.

  8. Kai Krämer; Ludger van Elst; Asier Arteaga

    Traveling Salesman Problem: A Case Study of a Scheduling Problem in a Steelmaking Plant

    In: Ludger van Elst; Tulay Caglayan Ozlu; Kurosh Madani (Hrsg.). Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: ETCIIM. International Workshop on Emerging Trends and Case-Studies in Industry 4.0 and Intelligent Manufacturing (ETCIIM-2022), located at 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, Pages 291-296, ISBN 978-989-758-612-5, SciTePress, 2022.

  9. Julian Wörmann; Daniel Bogdoll; Etienne Bührle; Han Chen; Evaristus Fuh Chuo; Kostadin Cvejoski; Ludger van Elst; Philip Gottschall; Stefan Griesche; Christian Hellert; Christian Hesels; Sebastian Houben; Tim Joseph; Niklas Keil; Johann Kelsch; Hendrik Königshof; Erwin Kraft; Leonie Kreuser; Kevin Krone; Tobias Latka; Denny Mattern; Stefan Matthes; Mohsin Munir; Moritz Nekolla; Adrian Paschke; Maximilian Alexander Pintz; Tianming Qiu; Faraz Qureishi; Syed Tahseen Raza Rizvi; Jörg Reichardt; Laura von Rueden; Stefan Rudolph; Alexander Sagel; Tobias Scholl; Gerhard Schunk; Hao Shen; Hendrik Stapelbroek; Vera Stehr; Gurucharan Srinivas; Anh Tuan Tran; Abhishek Vivekanandan; Ya Wang; Florian Wasserrab; Tino Werner; Christian Wirth; Stefan Zwicklbauer

    Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey

    arXiv, 2022.

  10. Muhammad Ali Chatta; Muhammad Shoaib Ahmed Siddiqui; Moshin Munir; Ludger van Elst; Imran Malik; Andreas Dengel; Sheraz Ahmed

    DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting

    In: The 28th International Conference on Artificial Neural Networks. International Conference on Artificial Neural Networks (ICANN-2019), September 17-19, Munich, Germany, IEEE, 9/2019.