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Publications

Displaying results 611 to 620 of 14533.

  1. Sriraam Natarajan; Kristian Kersting; Tushar Khot; Jude W. Shavlik

    Boosted Statistical Relational Learners - From Benchmarks to Data-Driven Medicine

    Springer Briefs in Computer Science, ISBN 978-3-319-13643-1, Springer, 2014.

  2. Christian Bauckhage; Kristian Kersting; Fabian Hadiji

    Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1501.04232, Pages 0-10, arXiv, 2015.

  3. Christoph Ide; Fabian Hadiji; Lars Habel; Alejandro Molina; Thomas Zaksek; Michael Schreckenberg; Kristian Kersting; Christian Wietfeld

    LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches

    In: IEEE 82nd Vehicular Technology Conference. IEEE Vehicular Technology Conference (VTC-2015), September 6-9, Boston, MA, USA, Pages 1-5, IEEE, 2015.

  4. Martin Mladenov; Kristian Kersting

    Equitable Partitions of Concave Free Energies

    In: Marina Meila; Tom Heskes (Hrsg.). Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2015), July 12-16, Amsterdam, Netherlands, Pages 602-611, AUAI Press, 2015.

  5. Liane Vogel; Benjamin Hilprecht; Carsten Binnig

    Towards Foundation Models for Relational Databases [Vision Paper]

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2305.15321, Pages 0-10, arXiv, 2023.

  6. Benjamin Hilprecht; Carsten Binnig

    One Model to Rule them All: Towards Zero-Shot Learning for Databases

    In: 12th Conference on Innovative Data Systems Research, CIDR 2022. Conference on Innovative Data Systems Research (CIDR-2022), January 9-12, Chaminade, CA, USA, www.cidrdb.org, 2022.

  7. Matthias Urban; Carsten Binnig

    Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2304.13559, Pages 0-10, arXiv, 2023.

  8. Liane Vogel; Carsten Binnig

    WikiDBs: A Corpus of Relational Databases From Wikidata

    In: Rajesh Bordawekar; Cinzia Cappiello; Vasilis Efthymiou; Lisa Ehrlinger; Vijay Gadepally; Sainyam Galhotra; Sandra Geisler; Sven Groppe; Le Gruenwald; Alon Y. Halevy; Hazar Harmouch; Oktie Hassanzadeh; Ihab F. Ilyas; Ernesto Jiménez-Ruiz; Sanjay Krishnan; Tirthankar Lahiri; Guoliang Li; Jiaheng Lu; Wolfgang Mauerer; Umar Farooq Minhas; Felix Naumann; M. Tamer Özsu; El Kindi Rezig; Kavitha Srinivas; Michael Stonebraker; Satyanarayana R. Valluri; Maria-Esther Vidal; Haixun Wang; Jiannan Wang; Yingjun Wu; Xun Xue; Mohamed Zaït; Kai Zeng (Hrsg.). Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023). International Conference on Very Large Data Bases (VLDB), August 28 - September 1, Vancouver, Canada, CEUR Workshop Proceedings, Vol. 3462, CEUR-WS.org, 2023.

  9. Meghdad Mirabi; Carsten Binnig

    QFilter: Towards a Fine-Grained Access Control for Aggregation Query Processing over Secret Shared Data

    In: Rajesh Bordawekar; Cinzia Cappiello; Vasilis Efthymiou; Lisa Ehrlinger; Vijay Gadepally; Sainyam Galhotra; Sandra Geisler; Sven Groppe; Le Gruenwald; Alon Y. Halevy; Hazar Harmouch; Oktie Hassanzadeh; Ihab F. Ilyas; Ernesto Jiménez-Ruiz; Sanjay Krishnan; Tirthankar Lahiri; Guoliang Li; Jiaheng Lu; Wolfgang Mauerer; Umar Farooq Minhas; Felix Naumann; M. Tamer Özsu; El Kindi Rezig; Kavitha Srinivas; Michael Stonebraker; Satyanarayana R. Valluri; Maria-Esther Vidal; Haixun Wang; Jiannan Wang; Yingjun Wu; Xun Xue; Mohamed Zaït; Kai Zeng (Hrsg.). Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023). International Conference on Very Large Data Bases (VLDB), August 28 - September 1, Vancouver, Canada, CEUR Workshop Proceedings, Vol. 3462, CEUR-WS.org, 2023.

  10. Meghdad Mirabi; Leila Fathi; Anton Dignös; Johann Gamper; Carsten Binnig

    A New Primitive for Processing Temporal Joins

    In: Proceedings of the 18th International Symposium on Spatial and Temporal Data, SSTD '23. International Symposium on Spatial and Temporal Data (SSTD-2023), August 23-25, Calgary, AB, Canada, Pages 106-109, ACM, 2023.

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