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Publikationen

Zeige Ergebnisse 1 bis 10 von 109.
  1. Ralph Bergmann; Mirko Lenz; Stefan Ollinger; Maximilian Pfister

    Similarity Measures for Case-Based Retrieval of Natural Language Argument Graphs in Argumentation Machines

    In: Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference. International FLAIRS Conference (FLAIRS-2019), Sarasota, Florida, USA, Pages 329-334, AAAI Press, 2019.

  2. Semantic Textual Similarity Measures for Case-Based Retrieval of Argument Graphs

    In: Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2019), Otzenhausen, Germany, Pages 219-234, Lecture Notes in Computer Science (LNCS), Vol. 11680, ISBN 978-3-030-29249-2, Springer International Publishing, Cham, 2019.

  3. Muhammad El-Hindi; Carsten Binnig; Arvind Arasu; Donald Kossmann; Ravi Ramamurthy

    BlockchainDB - A Shared Database on Blockchains

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 11, Pages 1597-1609, Association for Computing Machinery (ACM), 2019.

  4. Zeyuan Shang; Emanuel Zgraggen; Benedetto Buratti; Ferdinand Kossmann; Philipp Eichmann; Yeounoh Chung; Carsten Binnig; Eli Upfal; Tim Kraska

    Democratizing Data Science through Interactive Curation of ML Pipelines

    In: Peter A. Boncz; Stefan Manegold; Anastasia Ailamaki; Amol Deshpande; Tim Kraska (Hrsg.). Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019. ACM SIGMOD International Conference on Management of Data (SIGMOD-2019), June 30 - July 5, Amsterdam, Netherlands, Pages 1171-1188, ACM, 2019.

  5. Benjamin Hättasch; Christian M. Meyer; Carsten Binnig

    Interactive Summarization of Large Document Collections

    In: Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2019. Workshop on Human-In-the-Loop Data Analytics (HILDA-2019), located at SIGMOD 2019, July 5, Amsterdam, Netherlands, Pages 9:1-9:4, ACM, 2019.

  6. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Towards learning a partitioning advisor with deep reinforcement learning

    In: Rajesh Bordawekar; Oded Shmueli (Hrsg.). Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2019), aiDM@SIGMOD, July 5, Amsterdam, Netherlands, Pages 6:1-6:4, ACM, 2019.

  7. Abdallah Salama; Alexander Linke; Igor Pessoa Rocha; Carsten Binnig

    XAI: A Middleware for Scalable AI

    In: Slimane Hammoudi; Christoph Quix; Jorge Bernardino (Hrsg.). Proceedings of the 8th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2019), July 26-28, Prague, Czech Republic, Pages 109-120, SciTePress, 2019.

  8. Kayhan Dursun; Carsten Binnig; Ugur Çetintemel; Garret Swart; Weiwei Gong

    A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 12, Pages 2218-2229, Association for Computing Machinery (ACM), 2019.

  9. Lukas Berg; Tobias Ziegler; Carsten Binnig; Uwe Röhm

    ProgressiveDB - Progressive Data Analytics as a Middleware

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 12, Pages 1814-1817, Association for Computing Machinery (ACM), 2019.

  10. Max Birtel; Alexander David; Jesko Hermann; Florian Mohr; Martin Ruskowski

    FutureFit: a strategy for getting a production asset to an industry 4.0 component – a human-centered approach

    In: Procedia Manufacturing, Vol. 38, Pages 1000-1007, ELSEVIER, 2019.