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Year: 2017
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Displaying results 1 to 10 of 507.

  1. Hristina Uzunova; Matthias Wilms; Heinz Handels; Jan Ehrhardt

    Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation

    In: Maxime Descoteaux; Lena Maier-Hein; Alfred Franz; Pierre Jannin; D. Louis Collins; Simon Duchesne (Hrsg.). Medical Image Computing and Computer Assisted Intervention (MICCAI 2017). Medical Image Computing and Computer Assisted Intervention (MICCAI-2017), September 10-14, Quebec City, Quebec, Canada, Pages 223-231, ISBN 978-3-319-66182-7, Springer International Publishing, 2017.

  2. The An Binh Nguyen; Pratyush Agnihotri; Christian Meurisch; Manisha Luthra; Rahul Dwarakanath; Jeremias Blendin; Doreen Böhnstedt; Michael Zink; Ralf Steinmetz

    Efficient Crowd Sensing Task Distribution Through Context-Aware NDN-Based Geocast

    In: 2017 IEEE 42nd Conference on Local Computer Networks (LCN). IEEE Conference on Local Computer Networks (LCN-2017), 42nd Conference on Local Computer Networks, Pages 52-60, IEEE, 10/2017.

  3. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Sum-Product Networks for Hybrid Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03297, Pages 0-10, arXiv, 2017.

  4. Alejandro Molina; Alexander Munteanu; Kristian Kersting

    Coresets for Dependency Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03285, Pages 0-10, arXiv, 2017.

  5. Christopher Morris; Kristian Kersting; Petra Mutzel

    Global Weisfeiler-Lehman Graph Kernels

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1703.02379, Pages 0-10, arXiv, 2017.

  6. Nils M. Kriege; Marion Neumann; Christopher Morris; Kristian Kersting; Petra Mutzel

    A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1703.00676, Pages 0-10, arXiv, 2017.

  7. Zhao Xu; Romain Vial; Kristian Kersting

    Graph Enhanced Memory Networks for Sentiment Analysis

    In: Michelangelo Ceci; Jaakko Hollmén; Ljupco Todorovski; Celine Vens; Saso Dzeroski (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2017), September 18-22, Skopje, Macedonia, The Former Yugoslav Republic of, Pages 374-389, Lecture Notes in Computer Science, Vol. 10534, Springer, 2017.

  8. Zhao Xu; Kristian Kersting; Lorenzo von Ritter

    Stochastic Online Anomaly Analysis for Streaming Time Series

    In: Carles Sierra (Hrsg.). Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2017), August 19-25, Melbourne, Australia, Pages 3189-3195, ijcai.org, 2017.

  9. Christopher Morris; Kristian Kersting; Petra Mutzel

    Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs

    In: Vijay Raghavan; Srinivas Aluru; George Karypis; Lucio Miele; Xindong Wu (Hrsg.). 2017 IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2017), November 18-21, New Orleans, LA, USA, Pages 327-336, IEEE Computer Society, 2017.

  10. Iryna Gurevych; Christian M. Meyer; Carsten Binnig; Johannes Fürnkranz; Kristian Kersting; Stefan Roth; Edwin Simpson

    Interactive Data Analytics for the Humanities

    In: Alexander F. Gelbukh (Hrsg.). Computational Linguistics and Intelligent Text Processing - 18th International Conference. International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2017), April 17-23, Pages 527-549, Lecture Notes in Computer Science, Vol. 10761, Springer, 2017.

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