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Publications

Displaying results 41 to 50 of 576.
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Thomas Röfer; Tim Laue; Andreas Baude; Jan Blumenkamp; Gerrit Felsch; Jan Fiedler; Arne Hasselbring; Tim Haß; Jan Oppermann; Philip Reichenberg; Nicole Schrader; Dennis Weiß

    B-Human Team Report and Code Release 2019

    2019.

  7. Christian Espinoza-Stapelfeld; Viktor Eisenstadt; Klaus-Dieter Althoff

    Comparative Quantitative Evaluation of Distributed Methods for Explanation Generation and Validation of Floor Plan Recommendations

    In: Jaap van den Herik; Ana Paula Rocha (Hrsg.). Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART), Cham, Pages 46-63, ISBN 978-3-030-05453-3, Springer International Publishing, 2019.

  8. 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.

  9. 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.

  10. Yassin Alkhalili; Manisha Luthra; Amr Rizk; Boris Koldehofe

    3-D Urban Objects Detection and Classification From Point Clouds

    In: Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2019), 13th ACM International Conference on Distributed and Event-Based Systems, Darmstadt, Germany, Pages 209-213, DEBS '19, ISBN 9781450367943, Association for Computing Machinery, 2019.