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Publications

Displaying results 921 to 930 of 15123.

  1. Jwalin Bhatt; Yaroslav Zharov; Sungho Suh; Tilo Baumbach; Vincent Heuveline; Paul Lukowicz

    A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image

    In: IEEE International Symposium on Biomedical Imaging (ISBI). IEEE International Symposium on Biomedical Imaging (ISBI-2023), April 18-21, Cartagena, Colombia, ISBN 978-1-6654-7358-3, IEEE, 4/2023.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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