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Publications

Displaying results 741 to 750 of 14486.
  1. Benjamin Hilprecht; Carsten Binnig

    ReStore - Neural Data Completion for Relational Databases

    In: Guoliang Li; Zhanhuai Li; Stratos Idreos; Divesh Srivastava (Hrsg.). SIGMOD '21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 710-722, ACM, 2021.

  2. Johannes Wirth; Jaco A. Hofmann; Lasse Thostrup; Carsten Binnig; Andreas Koch

    Scalable and Flexible High-Performance In-Network Processing of Hash Joins in Distributed Databases

    In: International Conference on Field-Programmable Technology, FPT 2021, Auckland, New Zealand, December 6-10, 2021. International Conference on Field Programmable Technology (FPT), Pages 1-9, IEEE, 2021.

  3. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig

    ACID-V: Towards a New Class of DBMSs for Data Sharing

    In: El Kindi Rezig; Vijay Gadepally; Timothy G. Mattson; Michael Stonebraker; Tim Kraska; Fusheng Wang; Gang Luo; Jun Kong; Alevtina Dubovitskaya (Hrsg.). Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2021 and DMAH 2021, Revised Selected Papers. Workshop on Data Management and Analytics for Medicine and Healthcare and Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances (DMAH/Poly-2021), located at VLDB 2021, August 20, Pages 60-64, Lecture Notes in Computer Science (LNCS), Vol. 12921, ISBN 978-3-030-93663-1, Springer, 2021.

  4. Nicolò Parmiggiani; Andrea Bulgarelli; Alessandro Ursi; Antonio Macaluso; Ambra Di Piano; Valentina Fioretti; Alessio Aboudan; Leonardo Baroncelli; Antonio Addis; Marco Tavani; Carlotta Pittori

    A Deep-learning Anomaly-detection Method to Identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anticoincidence System

    In: The Astrophysical Journal (ApJ), Vol. 945, No. 2, Pages 1-12, IOP, 3/2023.

  5. Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting

    In: Springer (Hrsg.). Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. International Conference on Artificial Neural Networks (ICANN), September 26-30, Crete, Greece, Vol. 14259, Springer, 2023.

  6. DeepLSF: Fusing Knowledge and Data for Time Series Forecasting

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. NA, Page NA, IEEE, 2023.

  7. Netted?! How to Improve the Usefulness of Spider & Co

    In: Omar Alonso; Stefano Marchesin; Marc Najork; Gianmaria Silvello (Hrsg.). Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems. International Conference on Design of Experimental Search & Information REtrieval Systems (DESIRES), September 15-18, Padova, Italy, Pages 38-43, CEUR Workshop Proceedings, Vol. 2950, CEUR-WS.org, 2021.

  8. Nils Boeschen; Carsten Binnig

    GalOP: Towards a GPU-accelerated OLTP DBMS

    In: Danica Porobic; Spyros Blanas (Hrsg.). Proceedings of the 17th International Workshop on Data Management on New Hardware, DaMoN 2021, 21 June 2021, Virtual Event, China. International Workshop on Data Management on New Hardware (DaMoN), Pages 9:1-9:3, ACM, 2021.

  9. Tiemo Bang; Norman May; Ilia Petrov; Carsten Binnig

    AnyDB: An Architecture-less DBMS for Any Workload

    In: 11th Conference on Innovative Data Systems Research, CIDR 2021, Virtual Event, January 11-15, 2021, Online Proceedings. Conference on Innovative Data Systems Research (CIDR), www.cidrdb.org, 2021.

  10. Erfan Zamanian; Julian Shun; Carsten Binnig; Tim Kraska

    Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks

    In: SIGMOD Record, Vol. 50, No. 1, Pages 15-22, Association for Computing Machinery (ACM), 2021.