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Publications

Displaying results 411 to 420 of 14482.

  1. Joseph G. Taylor; Viktoriia Sharmanska; Kristian Kersting; David Weir; Novi Quadrianto

    Learning Using Unselected Features (LUFe)

    In: Subbarao Kambhampati (Hrsg.). Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2016), July 9-15, New York, NY, USA, Pages 2060-2066, IJCAI/AAAI Press, 2016.

  2. Christopher Morris; Nils M. Kriege; Kristian Kersting; Petra Mutzel

    Faster Kernels for Graphs with Continuous Attributes via Hashing

    In: Francesco Bonchi; Josep Domingo-Ferrer; Ricardo Baeza-Yates; Zhi-Hua Zhou; Xindong Wu (Hrsg.). IEEE 16th International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2016), December 12-15, Barcelona, Spain, Pages 1095-1100, IEEE Computer Society, 2016.

  3. Shuo Yang; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach

    In: Dale Schuurmans; Michael P. Wellman (Hrsg.). Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2016), February 12-17, Phoenix, Arizona, USA, Pages 2265-2271, AAAI Press, 2016.

  4. Marion Neumann; Roman Garnett; Christian Bauckhage; Kristian Kersting

    Propagation kernels: efficient graph kernels from propagated information

    In: Machine Learning, Vol. 102, No. 2, Pages 209-245, Springer, 2016.

  5. Piotr Szymanski; Tomasz Kajdanowicz; Kristian Kersting

    How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?

    In: Entropy, Vol. 18, No. 8, Pages 0-10, MDPI, 2016.

  6. Vitor Fortes Rey; Dominique Nshimyimana; Paul Lukowicz

    Don't freeze: Finetune encoders for better Self-Supervised HAR

    In: Monica Tentori; Nadir Weibel; Kristof Van Laerhoven; Zhongyi Zhou (Hrsg.). Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2023), ACM, 10/2023.

  7. Tobias Ziegler; Philip A. Bernstein; Viktor Leis; Carsten Binnig

    Is Scalable OLTP in the Cloud a Solved Problem?

    In: 13th Conference on Innovative Data Systems Research, CIDR 2023. Conference on Innovative Data Systems Research (CIDR-2023), January 8-11, Amsterdam, Netherlands, www.cidrdb.org, 2023.

  8. Benjamin Hättasch; Jan-Micha Bodensohn; Liane Vogel; Matthias Urban; Carsten Binnig

    WannaDB: Ad-hoc SQL Queries over Text Collections

    In: Birgitta König-Ries; Stefanie Scherzinger; Wolfgang Lehner; Gottfried Vossen (Hrsg.). Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS). GI-Fachtagungen (BTW), March 6-10, Dresden, Germany, Pages 157-181, LNI, Vol. P-331, Gesellschaft für Informatik e.V. 2023.

  9. Pratyush Agnihotri; Boris Koldehofe; Carsten Binnig; Manisha Luthra

    Zero-Shot Cost Models for Parallel Stream Processing

    In: Rajesh Bordawekar; Oded Shmueli; Yael Amsterdamer; Donatella Firmani; Andreas Kipf (Hrsg.). Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2023), aiDM@SIGMOD 2023, June 18, Seattle, WA, USA, Pages 5:1-5:5, ISBN 979-8-4007-0193-1, ACM, 2023.

  10. Matthias Urban; Duc Dat Nguyen; Carsten Binnig

    OmniscientDB: A Large Language Model-Augmented DBMS That Knows What Other DBMSs Do Not Know

    In: Rajesh Bordawekar; Oded Shmueli; Yael Amsterdamer; Donatella Firmani; Andreas Kipf (Hrsg.). Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2023), aiDM@SIGMOD 2023, June 18, Seattle, WA, USA, Pages 4:1-4:7, ISBN 979-8-4007-0193-1, ACM, 2023.

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