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Publications

Page 1 of 8.

  1. 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.

  2. 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.

  3. 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, …

  4. 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 …

  5. 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.

  6. 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 …

  7. Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel; Sheraz Ahmed

    KINN: Incorporating Expert Knowledge in Neural Networks

    In: AAAI-MAKE. AAAI Spring Symposium (AAAI SSS-2019), March 25-27, Stanford, CA, USA, AAAI, 3/2019.

  8. Christian K. Bosse; Judith Hoffmann; Ludger van Elst

    Potenzialeinschätzung von Big Data Mining als methodischer Zugang für Foresight

    In: Zeitschrift für Zukunftsforschung, Vol. 7, No. 1, Pages 1-24, Zeitschrift für Zukunftsforschung e.V. 2018.

  9. Using Smartphones for Prototyping Semantic Sensor Analysis Systems

    In: Proceedings of the International Workshop on Semantic Big Data. International Workshop on Semantic Big Data (SBD-2016), located at ACM SIGMOD …

  10. Georg Buscher; Andreas Dengel; Ralf Biedert; Ludger van Elst

    Attentive Documents: Eye Tracking as Implicit Feedback for Information Retrieval and Beyond

    In: ACM Transactions on Intelligent Interactive Systems (TIIS), Vol. 1, No. 2, Pages 9:1-9:30, ACM, 1/2012.