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Publikationen

Zeige Ergebnisse 21 bis 30 von 597.
  1. Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

    Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2001.05371, Pages 0-10, arXiv, 2020.

  2. Ute Schmid; Volker Tresp; Matthias Bethge; Kristian Kersting; Rainer Stiefelhagen

    Künstliche Intelligenz - Die dritte Welle

    In: Ralf H. Reussner; Anne Koziolek; Robert Heinrich (Hrsg.). 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future. Jahrestagung der Gesellschaft für Informatik (INFORMATIK-2020), September 28 - October 2, Karlsruhe, Germany, Pages 91-95, LNI, Vol. P-307, GI, 2020.

  3. A holistic approach for value-added interaction modelling in flexible manufacturing systems

    In: Procedia Manufacturing, Vol. 51, Pages 1245-1250, ELSEVIER, 2020.

  4. Benjamin Hilprecht; Carsten Binnig; Tiemo Bang; Muhammad El-Hindi; Benjamin Hättasch; Aditya Khanna; Robin Rehrmann; Uwe Röhm; Andreas Schmidt; Lasse Thostrup; Tobias Ziegler

    DBMS Fitting: Why should we learn what we already know?

    In: 10th Conference on Innovative Data Systems Research. Conference on Innovative Data Systems Research (CIDR-2020), January 12-15, Amsterdam, Netherlands, www.cidrdb.org, 2020.

  5. Robin Rehrmann; Carsten Binnig; Alexander Böhm; Kihong Kim; Wolfgang Lehner

    Sharing Opportunities for OLTP Workloads in Different Isolation Levels

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 10, Pages 1696-1708, Association for Computing Machinery (ACM), 2020.

  6. Benjamin Hilprecht; Andreas Schmidt; Moritz Kulessa; Alejandro Molina; Kristian Kersting; Carsten Binnig

    DeepDB: Learn from Data, not from Queries!

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 7, Pages 992-1005, Association for Computing Machinery (ACM), 2020.

  7. Sounak Kar; Robin Rehrmann; Arpan Mukhopadhyay; Bastian Alt; Florin Ciucu; Heinz Koeppl; Carsten Binnig; Amr Rizk

    On the Throughput Optimization in Large-scale Batch-processing Systems

    In: Performance Evaluation, Vol. 144, Pages 0-10, Elsevier, 2020.

  8. Leilani Battle; Philipp Eichmann; Marco Angelini; Tiziana Catarci; Giuseppe Santucci; Yukun Zheng; Carsten Binnig; Jean-Daniel Fekete; Dominik Moritz

    Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data

    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 1571-1587, ACM, 2020.

  9. Philipp Eichmann; Emanuel Zgraggen; Carsten Binnig; Tim Kraska

    IDEBench: A Benchmark for Interactive Data Exploration

    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 1555-1569, ACM, 2020.

  10. Matthias Jasny; Tobias Ziegler; Tim Kraska; Uwe Röhm; Carsten Binnig

    DB4ML - An In-Memory Database Kernel with Machine Learning Support

    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 159-173, ACM, 2020.