Publications

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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 …
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.
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.
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.
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, …
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 …
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.
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 …
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.
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.