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Publikationen

Zeige Ergebnisse 1521 bis 1530 von 14535.

  1. Christian Ernst Siegfried Koch; Miguel Bande Firvida

    Active manipulator-aided docking of underactuated autonomous underwater vehicles

    In: OCEANS MTS/IEEE Conference 2024. OCEANS MTS/IEEE Conference (OCEANS-2024), September 23-26, Halifax, Canada, IEEE, 9/2024.

  2. 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.

  3. Mahta Bakhshizadeh; Heiko Maus; Andreas Dengel

    Using Semantic-based Adaptive Relevance Prediction to Enhance Entity Recommendation for Personal Knowledge Assistance

    In: Proceedings of the sixth Knowledge-aware and Conversational Recommender Systems Workshop. Knowledge-aware and Conversational Recommender Systems Workshop (KaRS-2024), October 18, Bari, Italy, Association for Computing Machinery, 2024.

  4. Payal Varshney; Adriano Lucieri; Christoph Peter Balada; Andreas Dengel; Sheraz Ahmed

    Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery

    In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.). Pattern Recognition. International Conference on Pattern Recognition (ICPR-2024), located at 27th International Conference, ICPR 2024, December 1-5, Kolkata, India, DFKI Research Reports (RR), ISBN 978-3-031-78198-8, Springer Nature Link, Cham, 12/2024.

  5. Chi Zhang; Janis Sprenger; Zhongjun Ni; Christian Berger

    Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability

    In: IEEE Transactions on Intelligent Vehicles (T-IV), Vol. 1, Pages 1-16, IEEE, 12/2024.

  6. Miro Miranda Lorenz; Marcela Charfuelan; Andreas Dengel

    Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting

    In: Tackling Climate Change with Machine Learning (Hrsg.). NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning. Neural Information Processing Systems (NeurIPS-2024), NeurIPS 2024, located at NeurIPS, December 10-15, Vancouver, Britsh Columbia, Canada, DFKI Research Reports (RR), NeurIPS, 2024.

  7. Dennis Mronga; Frank Kirchner

    The ARC-OPT Library for Whole-Body Control of Robotic Systems

    In: Journal of Open Source Software (JOSS), Vol. 9, No. 104, Pages *-*, The Open Journal, 2024.

  8. Sana Hassan Imam; Christopher A. Metz; Lars Hornuf; Rolf Drechsler

    Determining the Effect of Feedback Quality on User Engagement on Online Idea Crowdsourcing Platforms Using an AI model | Proceedings of the ACM on Human-Computer Interaction

    In: Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Vol. 8, ACM, 2024.

  9. Luis Octavio Arriaga Camargo; Jichen Guo; Rebecca Adam; Sebastian Houben; Frank Kirchner

    Bayesian Inverse Graphics for Few-Shot Concept Learning

    In: International Conference on Neural-Symbolic Learning and Reasoning 2024. International Conference on Neural-Symbolic Learning and Reasoning (NeSy-2024), Pages 141-165, Springer, 2024.

  10. Mario Klostermeier; Vassilios Yfantis; Achim Wagner; Martin Ruskowski

    A Numerical Study on the Parallelization of Dual Decomposition-based Distributed Mixed-Integer Programming

    In: 2024 European Control Conference (ECC). European Control Conference (ECC-2024), June 25-28, Stockholm, Sweden, Pages 2724-2729, IEEE, 2024.

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