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Jahr: 2016
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  1. 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.

  2. Gabriel Lyons; Vinh Tran; Carsten Binnig; Ugur Çetintemel; Tim Kraska

    Making the Case for Query-by-Voice with EchoQuery

    In: Fatma Özcan; Georgia Koutrika; Sam Madden (Hrsg.). Proceedings of the 2016 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2016), June 26 - July 1, San Francisco, CA, USA, Pages 2129-2132, ACM, 2016.

  3. Andrew Crotty; Alex Galakatos; Emanuel Zgraggen; Carsten Binnig; Tim Kraska

    The case for interactive data exploration accelerators (IDEAs)

    In: Carsten Binnig; Alan D. Fekete; Arnab Nandi (Hrsg.). Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD. Workshop on Human-In-the-Loop Data Analytics (HILDA-2016), located at SIGMOD/PODS'16, June 28, San Francisco, CA, USA, ACM, 2016.

  4. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig; Tim Kraska

    VisTrees: fast indexes for interactive data exploration

    In: Carsten Binnig; Alan D. Fekete; Arnab Nandi (Hrsg.). Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD. Workshop on Human-In-the-Loop Data Analytics (HILDA-2016), located at SIGMOD/PODS'16, June 28, San Francisco, CA, USA, ACM, 2016.

  5. Carsten Binnig; Andrew Crotty; Alex Galakatos; Tim Kraska; Erfan Zamanian

    The End of Slow Networks: It's Time for a Redesign

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 9, No. 7, Pages 528-539, Association for Computing Machinery (ACM), 2016.

  6. Philipp Eichmann; Emanuel Zgraggen; Zheguang Zhao; Carsten Binnig; Tim Kraska

    Towards a Benchmark for Interactive Data Exploration

    In: IEEE Data Engineering Bulletin, Vol. 39, No. 4, Pages 50-61, IEEE, 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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