Skip to main content Skip to main navigation

Publications

Displaying results 2251 to 2260 of 14429.

  1. Matthias Jasny; Tobias Ziegler; Jacob Nelson-Slivon; Viktor Leis; Carsten Binnig

    Synchronizing Disaggregated Data Structures with One-Sided RDMA: Pitfalls, Experiments and Design Guidelines

    In: ACM Transactions on Database Systems (TODS), Vol. 50, No. 1, Pages 4:1-4:40, ACM Digital Library, 2025.

  2. 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.

  3. 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.

  4. 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.

  5. Adrian Lutsch; Muhammad El-Hindi; Matthias Heinrich; Daniel Ritter; Zsolt István; Carsten Binnig

    Benchmarking Analytical Query Processing in Intel SGXv2

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2403.11874, Pages 1-13, arXiv, 2024.

  6. Faeze Faghih; Tobias Ziegler; Zsolt István; Carsten Binnig

    SmartNICs in the Cloud: The Why, What and How of In-network Processing for Data-Intensive Applications

    In: Pablo Barceló; Nayat Sánchez-Pi; Alexandra Meliou; S. Sudarshan (Hrsg.). Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 556-560, ACM, 2024.

  7. Zhenwei Zhai; Chen Li; Zihao Wang; Marcin Grzegorzek; Lin Xu; Linshuai Zhang; Yujie Zhang; Pengfei Zeng; Ji Yin; Jing Guo; Tao Sun; Tao Jiang

    MEMI-DS: A Benchmark Melasma Image Dataset for Image Segmentation

    In: Advanced Data Mining and Applications - 21st International Conference, ADMA 2025 - Proceedings. International Conference on Advanced Data Mining and Applications (ADMA-2025), October 22-24, Kyoto, Japan, Pages 419-430, Lecture Notes in Computer Science (LNCS), Vol. 16198, ISBN 978-981-95-3456-2, Springer Nature, Singapore, 10/2025.

  8. Rui Li; Tao Jiang; Hao Xu; Marcin Grzegorzek; Xiaoyan Li; Chen Li

    TGMT-FSL: Text-Guided Multi-task Framework for Few-Shot Learning of Histopathological Image Analysis

    In: Advanced Data Mining and Applications - 21st International Conference, ADMA 2025 - Proceedings. International Conference on Advanced Data Mining and Applications (ADMA-2025), October 22-24, Kyoto, Japan, Pages 408-418, Lecture Notes in Computer Science (LNCS), Vol. 16198, ISBN 978-981-95-3456-2, Springer Nature, Singapore, 10/2025.

  9. Shange Wang; Lin Xu; Linshuai Zhang; Yujie Zhang; Chen Li; Marcin Grzegorzek; Jing Guo; Tao Jiang

    HHBSNet: a global channel–spatial attention and multi-scale dilated convolution network for automatic melasma segmentation

    In: Frontiers in Physiology, Vol. 16 - 2025, Frontiers Media SA, 11/2025.

  10. Frank Ehebrecht; Toni Scharle; Martin Atzmueller

    Constructing Neural Forms for Hard-Constraint PINNs with Complex Dirichlet Boundaries

    In: Rosa Meo; Fabrizio Silvestri (Hrsg.). Machine Learning and Principles and Practice of Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-WS), Cham, Pages 501-510, ISBN 978-3-031-74633-8, Springer Nature Switzerland, 2025.

Year

More options