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Publikationen

 

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  1. Sven Gehring; Elias Hartz; Markus Löchtefeld; Antonio Krüger

    The Media Façde Toolkit: Prototyping and Simulating Interaction with Media Façades

    In: Proceedings of the International Conference on Ubiquitous Computing. International Conference on Ubiquitous Computing (Ubicomp-13), September …

  2. Mathias Schmitt

    Using Consumer Electronics and Apps in Industrial Environments - Development of a Framework for Dynamic Feature Deployment and Extension by using Apps on Field Devices

    In: Proceedings of the 1st International Conference for Doctoral Students. International Conference for Doctoral Students (IPC-13), located at 1st …

  3. Christoph Igel; Roberta Sturm

    Learn & Go: Mobile learning solution for medical studies.

    In: o.A. (Hrsg.). GMS Medical Informatics, Biometry and Epidemiology (MIBE), GMS German Medical Science, 1/2013.

  4. Christian Bauckhage; Kristian Kersting

    Efficient Information Theoretic Clustering on Discrete Lattices

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1310.7114, Pages 0-10, arXiv, 2013.

  5. Fabian Hadiji; Kristian Kersting; Christian Bauckhage; Babak Ahmadi

    GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1304.7984, Pages 0-10, arXiv, 2013.

  6. Christian Bauckhage; Kristian Kersting; Fabian Hadiji

    Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes

    In: Emre Kiciman; Nicole B. Ellison; Bernie Hogan; Paul Resnick; Ian Soboroff (Hrsg.). Proceedings of the Seventh International Conference on Weblogs …

  7. Marion Neumann; Roman Garnett; Kristian Kersting

    Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels

    In: Cheng Soon Ong; Tu Bao Ho (Hrsg.). Asian Conference on Machine Learning, ACML 2013. Asian Conference on Machine Learning (ACML-2013), November …

  8. Sriraam Natarajan; Jose Picado; Tushar Khot; Kristian Kersting; Christopher Ré; Jude W. Shavlik

    Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July …

  9. Martin Mladenov; Kristian Kersting

    Lifted Inference via k-Locality

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July …

  10. Fabian Hadiji; Kristian Kersting

    Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July …