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Publications

Displaying results 31 to 40 of 563.

  1. Igor Vozniak; Pavel Astreika; Philipp Müller; Nils Lipp; Christian Müller; Philipp Slusallek

    HD-VoxelFlex: Flexible High-Definition Voxel Grid Representation

    In: VISIGRAPP (4): VISAPP. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2024), SCITEPRESS, 2024.

  2. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  3. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  4. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

    Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

    In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

  5. Tristan Schneider; Matheus V. A. Pedrosa; Timo P. Gros; Verena Wolf; Kathrin Flaßkamp

    Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving

    In: IEEE Transactions on Intelligent Transportation Systems, Vol. 25, No. 11, Pages 17852-17864, IEEE, 9/2024.

  6. Timo P. Gros; Nicola Müller; Daniel Höller; Verena Wolf

    Safe Reinforcement Learning Through Regret and State Restorations in Evaluation Stages

    In: Workshop on Reliable Data-Driven Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2024), Springer, 2024.

  7. Ahmed Anwar; Brian Moser; Dayananda Herurkar; Federico Raue; Vinit Heiste; Tatjana Legler; Andreas Dengel

    FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data

    In: 2nd Federated Learning Technologies and Applications Conference 2024. International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-19, Valencia, Spain, IEEEXplore, 2024.

  8. 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.

  9. 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.

  10. Faraz Ahmad; Tom Creutz; Christian Ernst Siegfried Koch; Bilal Wehbe

    A Deep-Learning Approach for Visual Detection of an AUV Docking Station

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

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