R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, and E. Hüllermeier, “Depth estimation in monocular images: Quantitative versus qualitative approaches,” in In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, 2015, pp. 235–240.
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S. Lu and E. Hüllermeier, “Locally weighted regression through data imprecisiation,” in in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, 2015, pp. 97–104.
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W.-F. Chen, M. Chen, and L.-W. Ku, “Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording,” in Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015, pp. 144–153.
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W.-F. Chen, L.-W. Ku, and Y.-H. Lee, “Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example,” in 2015 AAAI Spring Symposium Series, 2015.
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W.-F. Chen, Y.-H. Lee, and L.-W. Ku, “Topic-based Stance Mining for Social Media Texts,” in International Conference on HCI in Business, 2015, pp. 22–33.
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W.-F. Chen, M.-H. Chen, M.-L. Chen, and L.-W. Ku, “A Computer-assistance Learning System for Emotional Wording,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 5, pp. 1093–1104, 2015.
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S. Böttcher, R. Hartel, T. Jacobs, and S. Maneth, “OnlineRePair: A Recompressor for XML Structures,” in 2015 Data Compression Conference, 2015, p. 439.
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S. Böttcher, R. Hartel, T. Jacobs, and M. Jeromin, “ECST – Extended Context-Free Straight-Line Tree Grammars,” in Data Science - 30th British International Conference on Databases, BICOD 2015, 2015, pp. 186–198.
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A. Dunst, R. Hartel, S. Hohenstein, and J. Laubrock, “Digitale Analyse Graphischer Literatur,” in DHd-Tagung 2015 - Von Daten zu Erkenntnissen, 2015.
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R. Senge and E. Hüllermeier, “Fast fuzzy pattern tree learning for classification ,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
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E. Hüllermeier, “From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions,” Informatik Spektrum, vol. 38, no. 6, pp. 500–509, 2015.
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E. Hüllermeier, “Does machine learning need fuzzy logic?,” Fuzzy Sets and Systems, vol. 281, pp. 292–299, 2015.
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W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On the Bayes-optimality of F-measure maximizers,” Journal of Machine Learning Research, vol. 15, pp. 3313–3368, 2015.
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A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study,” Neurocomputing, vol. 150, pp. 250–264, 2015.
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S. Auroux, M. Draxler, A. Morelli, and V. Mancuso, “Dynamic network reconfiguration in wireless DenseNets with the CROWD SDN architecture,” in 2015 European Conference on Networks and Communications (EuCNC), 2015.
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B. Degener, B. Kempkes, P. Kling, and F. Meyer auf der Heide, “Linear and Competitive Strategies for Continuous Robot Formation Problems,” ACM Transactions on Parallel Computing, pp. 1–18, 2015.
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S. Abshoff, A. Andreas Cord-Landwehr, D. Jung, and F. Meyer auf der Heide, “Towards Gathering Robots with Limited View in Linear Time: The Closed  Chain Case,” ArXiv: 1501.04877. 2015.
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S. Olfert and B. Henning, Analyse integral erfasster rotationssymmetrischer Schallwechseldruckverteilungen in Schlierenabbildungen. 15AD.
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K. Kulshreshtha, B. Jurgelucks, F. Bause, J. Rautenberg, and C. Unverzagt, On the optimal configuration of triple-ring-electrodes on piezoceramic transducers towards increased parameter sensitivity of impedance. .
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S. Olfert and B. Henning, “Analyse integral erfasster Schallwechseldruckverteilungen in Schlierenabbildungen,” in XXIX Messtechnisches Symposium, Berlin, München, Boston, 2015.
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