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Publications

Displaying results 2021 to 2030 of 14806.

  1. Uélison Santos; Alessandro Ferri; Szilard Nistor; Riccardo Tommasini; Carsten Binnig; Manisha Luthra

    Towards Multimodal Stream Processing Systems

    In: Wolfgang Lehner; Vanessa Braganholo; Kostas Stefanidis; Zheying Zhang; Alexander Krause; Jo~ao Felipe Nicolaci Pimentel (Hrsg.). Proceedings 29th International Conference on Extending Database Technology, EDBT 2026, Tampere, Finland, March 24-27, 2026. International Conference on Extending Database Technology (EDBT), Pages 627-633, OpenProceedings.org, 2026.

  2. Vashu Chauhan; Avinash Anand; Manisha Luthra; Uélison Santos; Carsten Binnig; Rajiv Ratn Shah

    IMPACT: Integrated Multimodal Pipeline for Rapid Accident Causality Tracking (Student Abstract)

    In: Sven Koenig; Chad Jenkins; Matthew E. Taylor (Hrsg.). Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026. AAAI Conference on Artificial Intelligence (AAAI), Pages 41159-41161, AAAI Press, 2026.

  3. Eduardo Souza dos Reis; Mohamed Abdelaal; Carsten Binnig

    Generalizable Data Cleaning of Tabular Data in Latent Space

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4786-4798, VLDP, 2024.

  4. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.14495, Pages 1-4, arXiv, 2025.

  5. Johannes Wehrstein; Timo Eckmann; Roman Heinrich; Carsten Binnig

    JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.07471, Pages 1-8, a, 2025.

  6. Johannes Wehrstein; Timo Eckmann; Roman Heinrich; Carsten Binnig

    JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.07471, Pages 1-14, arXiv, 2025.

  7. Pratyush Agnihotri; Boris Koldehofe; Roman Heinrich; Carsten Binnig; Manisha Luthra

    PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.10704, Pages 1-22, arXiv, 2025.

  8. Van Long Nguyen; Shaza Zeitouni; Carsten Binnig; Zsolt István

    Reflex: Speeding Up SMPC Query Execution through Efficient and Flexible Intermediate Result Size Trimming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.20932, Pages 1-15, arXiv, 2025.

  9. Roman Heinrich; Manisha Luthra; Johannes Wehrstein; Harald Kornmayer; Carsten Binnig

    How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.01229, Pages 1-27, arXiv, 2025.

  10. Juan Trujillo; Ana Lavalle; Alejandro Reina-Reina; Jorge García-Carrasco; Alejandro Maté; Wolfgang Maaß

    An integrated requirements framework for analytical and AI projects

    In: Data & Knowledge Engineering (DKE), Vol. 161, Page 102493, Elsevier, 2026.

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