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Publications

Displaying results 2021 to 2030 of 15235.

  1. Martin Mladenov; Leonard Kleinhans; Kristian Kersting

    Lifted Convex Quadratic Programming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.04486, Pages 0-10, arXiv, 2016.

  2. Kristian Kersting; Christian Bauckhage; Mirwaes Wahabzada; Anne-Katrin Mahlein; Ulrike Steiner; Erich-Christian Oerke; Christoph Römer; Lutz Plümer

    Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants

    In: Jörg Lässig; Kristian Kersting; Katharina Morik (Hrsg.). Computational Sustainability. Pages 99-120, Studies in Computational Intelligence, Vol. 645, Springer, 2016.

  3. Mayukh Das; Yuqing Wu; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Scaling Lifted Probabilistic Inference and Learning Via Graph Databases

    In: Sanjay Chawla Venkatasubramanian; Wagner Meira Jr. (Hrsg.). Proceedings of the 2016 SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2016), May 5-7, Miami, FL, USA, Pages 738-746, ISBN 978-1-61197-434-8, SIAM, 2016.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Malte Ostendorff; Pedro Ortiz Suarez; Julian Moreno Schneider; Georg Rehm

    Europe’s Technical Debt: Why We Need Web Search in the Age of Generative AI

    In: Proceedings of 5th International Open Search Symposium. International Open Search Symposium (OSSYM-2023), October 4-6, Geneva, Switzerland, OSSYM, 2023.

  9. Benjamin Hülsen; Patrick Schöberl; Niklas A. Mulsow

    Modular EPS for small mobile Robotic Space Systems

    In: 13th European Space Power Conference. European Space Power Conference (ESPC-2023), October 2-6, Elche, Spain, ESA / IEEE, 10/2023.

  10. Niklas A. Mulsow; Benjamin Hülsen; Joel Gützlaff; Leon Spies; Andreas Bresser; Adam Dabrowski; Markus Czupalla; Frank Kirchner

    Concept and design of an autonomous micro rover for long term lunar exploration

    In: Proceedings of the 74th International Astronautical Congress (IAC), IAC-23-D1,2,11,x77783. International Astronautical Congress (IAC-2023), October 2-6, Baku, Azerbaijan, International Astronautical Federation (IAF), 100 Avenue de Suffren 75015 Paris, France, 10/2023.

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