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Publications

Displaying results 661 to 670 of 13737.

  1. Raksha Kumaraswamy; Phillip Odom; Kristian Kersting; David Leake; Sriraam Natarajan

    Transfer Learning via Relational Type Matching

    In: Charu C. Aggarwal; Zhi-Hua Zhou; Alexander Tuzhilin; Hui Xiong; Xindong Wu (Hrsg.). 2015 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2015), November 14-17, Atlantic City, NJ, USA, Pages 811-816, IEEE Computer Society, 2015.

  2. Shuo Yang; Kristian Kersting; Greg Terry; Jefferey Carr; Sriraam Natarajan

    Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study

    In: John H. Holmes; Riccardo Bellazzi; Lucia Sacchi; Niels Peek (Hrsg.). Artificial Intelligence in Medicine - 15th Conference on Artificial Intelligence in Medicine. Conference on Artificial Intelligence in Medicine (AIME-2015), June 17-20, Pavia, Italy, Pages 182-187, Lecture Notes in Computer Science, Vol. 9105, Springer, 2015.

  3. Rafet Sifa; Fabian Hadiji; Julian Runge; Anders Drachen; Kristian Kersting; Christian Bauckhage

    Predicting Purchase Decisions in Mobile Free-to-Play Games

    In: Arnav Jhala; Nathan R. Sturtevant (Hrsg.). Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AAAI Conference on Artificial Intelligence (AAAI-2015), November 14-18, Santa Cruz, CA, USA, Pages 79-85, AAAI Press, 2015.

  4. Fabian Hadiji; Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data

    In: Machine Learning, Vol. 100, No. 2-3, Pages 477-507, Springer, 2015.

  5. Marion Neumann; Shan Huang; Daniel E. Marthaler; Kristian Kersting

    pyGPs: a Python library for Gaussian process regression and classification

    In: Journal of Machine Learning Research, Vol. 16, Pages 2611-2616, JMLR, 2015.

  6. Mirwaes Wahabzada; Stefan Paulus; Kristian Kersting; Anne-Katrin Mahlein

    Automated interpretation of 3D laserscanned point clouds for plant organ segmentation

    In: BMC Bioinformatics, Vol. 16, Pages 248:1-248:11, BioMed Central, 2015.

  7. Elena Erdmann; Karin Boczek; Lars Koppers; Gerret von Nordheim; Christian Pölitz; Alejandro Molina; Katharina Morik; Henrik Müller; Jörg Rahnenführer; Kristian Kersting

    Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.05110, Pages 0-10, arXiv, 2016.

  8. 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.

  9. 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.

  10. 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.

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