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Publications

Displaying results 821 to 830 of 13867.
  1. Stefano Teso; Kristian Kersting

    "Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1805.08578, Pages 0-10, arXiv, 2018.

  2. Neural Conditional Gradients

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1803.04300, Pages 0-10, arXiv, 2018.

  3. 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.

  4. Shuo Yang; Fabian Hadiji; Kristian Kersting; Shaun J. Grannis; Sriraam Natarajan

    Modeling heart procedures from EHRs: An application of exponential families

    In: Xiaohua Hu; Chi-Ren Shyu; Yana Bromberg; Jean Gao; Yang Gong; Dmitry Korkin; Illhoi Yoo; Huiru Jane Zheng (Hrsg.). 2017 IEEE International Conference on Bioinformatics and Biomedicine. IEEE International Conference on Bioinformatics and Biomedicine (BIBM-2017), November 13-16, Kansas City, MO, USA, Pages 491-497, IEEE Computer Society, 2017.

  5. Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2017), February 4-9, San Francisco, California, USA, Pages 2357-2363, AAAI Press, 2017.

  6. Michael Benedikt; Kristian Kersting; Phokion G. Kolaitis; Daniel Neider

    Logic and Learning (Dagstuhl Seminar 19361)

    In: Dagstuhl Reports, Vol. 9, No. 9, Pages 1-22, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2019.

  7. Tobias Dreesbach; Jan Beinke; Arne Dethloff; Fabian van Dülmen; Oliver Thomas

    Impact and Limitations of AR-Based Guidance for Assembly Workers

    In: Jeffrey Voas (Hrsg.). IEEE Computer, IEEE Computer Society, 2023.

  8. 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.

  9. 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.

  10. 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.