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5714 Publications
2014 | Conference (Editor) | LibreCat-ID: 15663
C. Schulte, M. E. Caspersen, and J. Gal-Ezer, Eds., Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014. ACM, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 14874
M.-H. Chen, W.-F. Chen, and L.-W. Ku, “RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions,” in Proceedings of the AsiaCALL 2014, 2014.
LibreCat
2014 | Conference Paper | LibreCat-ID: 15089
S. Böttcher, R. Hartel, and S. Thiele, “Difference Computation for Grammar-Compressed XML Data,” in Proceedings of the Second Australasian Web Conference, 2014, pp. 3–12.
LibreCat
2014 | Conference Paper | LibreCat-ID: 15090
S. Böttcher, M. Brandenburg, and R. Hartel, “Keyword Search on DAG-Compressed XML Data,” in Proceedings of the Second Australasian Web Conference, 2014, pp. 13–20.
LibreCat
2014 | Journal Article | LibreCat-ID: 16046
M. Agarwal, A. Fallah Tehrani, and E. Hüllermeier, “Preference-based learning of ideal solutions in TOPSIS-like decision models,” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 3–4, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 16060
T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended graph-based models for enhanced similarity search in Cabase,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 11, no. 5, pp. 878–890, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 16064
E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” International Journal of Approximate Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 16069
S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy-rule-based systems,” Evolving Systems, vol. 5, pp. 175–191, 2014.
LibreCat
2014 | Journal Article | LibreCat-ID: 16077
R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.
LibreCat