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Publikationen

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  1. Matej Petkovic; Michelangelo Ceci; Kristian Kersting; Saso Dzeroski

    Estimating the Importance of Relational Features by Using Gradient Boosting

    In: Denis Helic; Gerhard Leitner; Martin Stettinger; Alexander Felfernig; Zbigniew W. Ras (Hrsg.). Foundations of Intelligent Systems - 25th …

  2. Robert Peharz; Steven Lang; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Guy Van den Broeck; Kristian Kersting; Zoubin Ghahramani

    Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

    In: Proceedings of the 37th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2020), July 13-18, Pages …

  3. Cigdem Turan; Patrick Schramowski; Constantin A. Rothkopf; Kristian Kersting

    Alfie: An Interactive Robot with Moral Compass

    In: Khiet P. Truong; Dirk Heylen; Mary Czerwinski; Nadia Berthouze; Mohamed Chetouani; Mikio Nakano (Hrsg.). ICMI '20: International Conference on …

  4. Jannik Kossen; Karl Stelzner; Marcel Hussing; Claas Voelcker; Kristian Kersting

    Structured Object-Aware Physics Prediction for Video Modeling and Planning

    In: 8th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2020), April 26-30, Addis …

  5. Badarinath Katti; Christiane Plociennik; Martin Ruskowski; Michael Schweitzer

    Bidirectional Transformation of MES Source Code and Ontologies

    In: Procedia Manufacturing, Vol. 42, Pages 197-204, Elsevier, 2020.

  6. Manisha Luthra; Sebastian Hennig; Kamran Razavi; Lin Wang; Boris Koldehofe

    Operator as a Service: Stateful Serverless Complex Event Processing

    In: 2020 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data (IEEE BigData-2020), IEEE International …

  7. Payam Habiby; Sebastian Huhn; Rolf Drechsler

    Power-aware Test Scheduling for IEEE 1687 Networks with Multiple Power Domains

    In: 33rd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems 2020. IEEE International Symposium on Defect …

  8. 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, …

  9. 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.

  10. 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.