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Publikationen

Zeige Ergebnisse 1451 bis 1460 von 14769.

  1. Joscha Grüger

    Process Mining for Healthcare: Discover Beyond Discovery

    PhD-Thesis, Universität Trier, 2024.

  2. Zhifei Li; Gerrit Großmann; Verena Wolf

    Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis

    In: Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol. International Conference on Complex Networks and Their Applications. Pages 183-194, Springer Nature Switzerland, 2024.

  3. Tobias Christian Nauen; Sebastian Palacio; Andreas Dengel

    TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax

    In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.). Pattern Recognition. International Conference on Pattern Recognition (ICPR-2024), December 1-5, Kolkata, India, India, Pages 1-16, ISBN 978-3-031-78172-8, Springer Nature Switzerland, Switzerland, 12/2024.

  4. Jan Ehrhardt; Heinz Handels

    Implicitly Solved Regularization for Learning-Based Image Registration

    In: Xiaohuan Cao; Xuanang Xu; Islem Rekik; Zhiming Cui; Xi Ouyang (Hrsg.). Machine Learning in Medical Imaging. International Workshop on Machine Learning in Medical Imaging (MLMI-2023), located at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), October 8, Vancouver, Canada, Pages 137-146, Lecture Notes in Computer Science (LNCS), Vol. 14348, ISBN 978-3-031-45673-2, Springer Nature Switzerland, 2024.

  5. Eray Dogan; Meghdad Mirabi; Carsten Binnig

    SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data

    In: Wei Ding; Chang-Tien Lu; Fusheng Wang; Liping Di; Kesheng Wu; Jingjun Huang; Raghu Nambiar; Jundong Li; Filip Ilievski; Ricardo Baeza-Yates; Xiaohua Hu (Hrsg.). IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024. IEEE Conference on Big Data, Pages 1566-1573, IEEE, 2024.

  6. Matthias Jasny; Lasse Thostrup; Sajjad Tamimi; Andreas Koch; Zsolt István; Carsten Binnig

    Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs

    In: Proceedings of the ACM on Management of Data (PACMMOD), Vol. 2, No. 1, Pages 36:1-36:28, ACM Digital Library, 2024.

  7. Nils Boeschen; Tobias Ziegler; Carsten Binnig

    GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP

    In: Proceedings of the ACM on Management of Data (PACMMOD), Vol. 2, No. 6, Pages 237:1-237:26, ACM Digital Library, 2024.

  8. David F. Bacon; Carsten Binnig; David Patterson; Margo I. Seltzer

    Hardware Support for Cloud Database Systems in the Post-Moore's Law Era (Dagstuhl Seminar 24162)

    In: Dagstuhl Reports, Vol. 14, No. 4, Pages 54-84, Dagstuhl, 2024.

  9. Matthias Urban; Carsten Binnig

    Efficient Learned Query Execution over Text and Tables [Technical Report]

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.22522, Pages 1-23, arXiv, 2024.

  10. Yannis Chronis; Yawen Wang; Lyubomir Ganev; Sami Abu-El-Haija; Chelsea Lin; Carsten Binnig; Fatma Özcan

    CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.16170, Pages 1-12, arXiv, 2024.

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