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Publications

Displaying results 271 to 280 of 678.

  1. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor with Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1904.01279, Pages 0-10, arXiv, 2019.

  2. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Towards learning a partitioning advisor with deep reinforcement learning

    In: Rajesh Bordawekar; Oded Shmueli (Hrsg.). Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2019), aiDM@SIGMOD, July 5, Amsterdam, Netherlands, Pages 6:1-6:4, ACM, 2019.

  3. Abdallah Salama; Alexander Linke; Igor Pessoa Rocha; Carsten Binnig

    XAI: A Middleware for Scalable AI

    In: Slimane Hammoudi; Christoph Quix; Jorge Bernardino (Hrsg.). Proceedings of the 8th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2019), July 26-28, Prague, Czech Republic, Pages 109-120, SciTePress, 2019.

  4. Nathaniel Weir; Prasetya Utama; Alex Galakatos; Andrew Crotty; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Ugur Çetintemel; Carsten Binnig

    DBPal: A Fully Pluggable NL2SQL Training Pipeline

    In: David Maier; Rachel Pottinger; AnHai Doan; Wang-Chiew Tan; Abdussalam Alawini; Hung Q. Ngo (Hrsg.). Proceedings of the 2020 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Pages 2347-2361, ACM, 2020.

  5. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor for Cloud Databases

    In: David Maier; Rachel Pottinger; AnHai Doan; Wang-Chiew Tan; Abdussalam Alawini; Hung Q. Ngo (Hrsg.). Proceedings of the 2020 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Pages 143-157, ACM, 2020.

  6. Shreedhar Govil; Didier Stricker; Jason Raphael Rambach

    DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR), June 3-7, Denver, Colorado, United States Minor Outlying Islands, IEEE, 2026.

  7. Rajai Alhimdiat; Ramy Battrawy; René Schuster; Didier Stricker; Wesam Ashour

    SF3D-RGB: Scene Flow Estimation from Monocular Camera and Sparse LiDAR

    In: Proceedings of the 2026 Computer Vision Conference (CVC). Computer Vision Conference (CVC-2026), May 21-22, Amsterdam, Netherlands, Springer, 5/2026.

  8. Sofija Engelson; Yannic Elser; Malte Maria Sieren; Jan Ehrhardt; Julia Andresen; Stefanie Schierholz; Tobias Keck; Daniel Drömann; Jörg Barkhausen; Heinz Handels

    Deep learning-based mediastinal lymph node assessment on PET/CT images without pixel-level annotations

    In: Journal of Medical Imaging (JMI), Vol. 13, No. 1, Pages 1-18, SPIE, 2/2026.

  9. Caroline v. Dresky; Claus von der Burchard; Julia Andresen; Marc Steffen Seibel; Marc Rowedder; Timo Kepp; Johann Roider; Heinz Handels

    Visual acuity assessment from optical coherence tomography images using the foundation model RETFound

    In: Medical Imaging 2025: Computer-Aided Diagnosis. SPIE Medical Imaging (SPIE-2025), San Diego, United States, Vol. 13407, SPIE, 2025.

  10. Sudhanshu Mittal; Joshua Niemeijer; Özgün Çiçek; Maxim Tatarchenko; Jan Ehrhardt; Jörg P. Schäfer; Heinz Handels; Thomas Brox

    Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation

    In: International Journal of Computer Vision (IJCV), Vol. 133, Pages 4294-4316, Springer Nature, 2025.

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