@inproceedings{15750,
  author       = {{Ewerth, R. and Balz, A. and Gehlhaar, J. and Dembczynski, K. and Hüllermeier, Eyke}},
  booktitle    = {{In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany}},
  editor       = {{Hoffmann, F. and Hüllermeier, Eyke}},
  pages        = {{235--240}},
  publisher    = {{KIT Scientific Publishing}},
  title        = {{{Depth estimation in monocular images: Quantitative versus qualitative approaches}}},
  year         = {{2015}},
}

@inproceedings{15751,
  author       = {{Lu, S. and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany}},
  editor       = {{Hoffmann, F. and Hüllermeier, Eyke}},
  pages        = {{97--104}},
  publisher    = {{KIT Scientific Publishing}},
  title        = {{{Locally weighted regression through data imprecisiation}}},
  year         = {{2015}},
}

@inproceedings{14875,
  author       = {{Chen, Wei-Fan and Chen, MeiHua and Ku, Lun-Wei}},
  booktitle    = {{Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications}},
  pages        = {{144--153}},
  title        = {{{Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording}}},
  year         = {{2015}},
}

@inproceedings{14877,
  author       = {{Chen, Wei-Fan and Ku, Lun-Wei and Lee, Yann-Hui}},
  booktitle    = {{2015 AAAI Spring Symposium Series}},
  title        = {{{Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example}}},
  year         = {{2015}},
}

@inproceedings{14878,
  author       = {{Chen, Wei-Fan and Lee, Yann-Hui and Ku, Lun-Wei}},
  booktitle    = {{International Conference on HCI in Business}},
  pages        = {{22--33}},
  title        = {{{Topic-based Stance Mining for Social Media Texts}}},
  year         = {{2015}},
}

@article{14879,
  author       = {{Chen, Wei-Fan and Chen, Mei-Hua and Chen, Ming-Lung and Ku, Lun-Wei}},
  journal      = {{IEEE Transactions on Knowledge and Data Engineering}},
  number       = {{5}},
  pages        = {{1093--1104}},
  publisher    = {{IEEE}},
  title        = {{{A Computer-assistance Learning System for Emotional Wording}}},
  volume       = {{28}},
  year         = {{2015}},
}

@inproceedings{15087,
  author       = {{Böttcher, Stefan and Hartel, Rita and Jacobs, Thomas and Maneth, Sebastian}},
  booktitle    = {{2015 Data Compression Conference}},
  isbn         = {{9781479984305}},
  pages        = {{439}},
  publisher    = {{Springer}},
  title        = {{{OnlineRePair: A Recompressor for XML Structures}}},
  doi          = {{10.1109/dcc.2015.58}},
  year         = {{2015}},
}

@inproceedings{15088,
  author       = {{Böttcher, Stefan and Hartel, Rita and Jacobs, Thomas and Jeromin, Markus}},
  booktitle    = {{Data Science - 30th British International Conference on Databases, BICOD 2015}},
  isbn         = {{9783319204239}},
  issn         = {{0302-9743}},
  pages        = {{186--198}},
  publisher    = {{Springer}},
  title        = {{{ECST – Extended Context-Free Straight-Line Tree Grammars}}},
  doi          = {{10.1007/978-3-319-20424-6_18}},
  year         = {{2015}},
}

@inproceedings{15185,
  author       = {{Dunst, Alexander and Hartel, Rita and Hohenstein, Sven and Laubrock, Jochen}},
  booktitle    = {{DHd-Tagung 2015 - Von Daten zu Erkenntnissen}},
  title        = {{{Digitale Analyse Graphischer Literatur}}},
  year         = {{2015}},
}

@article{16049,
  author       = {{Senge, Robin and Hüllermeier, Eyke}},
  journal      = {{IEEE Transactions on Fuzzy Systems}},
  number       = {{6}},
  pages        = {{2024--2033}},
  title        = {{{Fast fuzzy pattern tree learning for classification }}},
  volume       = {{23}},
  year         = {{2015}},
}

@article{16051,
  author       = {{Hüllermeier, Eyke}},
  journal      = {{Informatik Spektrum}},
  number       = {{6}},
  pages        = {{500--509}},
  title        = {{{From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions}}},
  volume       = {{38}},
  year         = {{2015}},
}

@article{16053,
  author       = {{Hüllermeier, Eyke}},
  journal      = {{Fuzzy Sets and Systems}},
  pages        = {{292--299}},
  title        = {{{Does machine learning need fuzzy logic?}}},
  volume       = {{281}},
  year         = {{2015}},
}

@article{16058,
  author       = {{Waegeman, W. and Dembczynski, K. and Jachnik, A. and Cheng, W. and Hüllermeier, Eyke}},
  journal      = {{Journal of Machine Learning Research}},
  pages        = {{3313--3368}},
  title        = {{{On the Bayes-optimality of F-measure maximizers}}},
  volume       = {{15}},
  year         = {{2015}},
}

@article{16067,
  author       = {{Shaker, A. and Hüllermeier, Eyke}},
  journal      = {{Neurocomputing}},
  pages        = {{250--264}},
  title        = {{{Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study}}},
  volume       = {{150}},
  year         = {{2015}},
}

@inproceedings{1636,
  author       = {{Auroux, Sébastien and Draxler, Martin and Morelli, Arianna and Mancuso, Vincenzo}},
  booktitle    = {{2015 European Conference on Networks and Communications (EuCNC)}},
  isbn         = {{9781467373593}},
  publisher    = {{IEEE}},
  title        = {{{Dynamic network reconfiguration in wireless DenseNets with the CROWD SDN architecture}}},
  doi          = {{10.1109/eucnc.2015.7194057}},
  year         = {{2015}},
}

@article{16391,
  author       = {{Degener, Bastian and Kempkes, Barbara and Kling, Peter and Meyer auf der Heide, Friedhelm}},
  issn         = {{2329-4949}},
  journal      = {{ACM Transactions on Parallel Computing}},
  pages        = {{1--18}},
  title        = {{{Linear and Competitive Strategies for Continuous Robot Formation Problems}}},
  doi          = {{10.1145/2742341}},
  year         = {{2015}},
}

@unpublished{16397,
  abstract     = {{In the gathering problem, n autonomous robots have to meet on a single point.
We consider the gathering of a closed chain of point-shaped, anonymous robots
on a grid. The robots only have local knowledge about a constant number of
neighboring robots along the chain in both directions. Actions are performed in
the fully synchronous time model FSYNC. Every robot has a limited memory that
may contain one timestamp of the global clock, also visible to its direct
neighbors. In this synchronous time model, there is no limited view gathering
algorithm known to perform better than in quadratic runtime. The configurations
that show the quadratic lower bound are closed chains. In this paper, we
present the first sub-quadratic---in fact linear time---gathering algorithm for
closed chains on a grid.}},
  author       = {{Abshoff, Sebastian and Andreas Cord-Landwehr, Andreas and Jung, Daniel and Meyer auf der Heide, Friedhelm}},
  booktitle    = {{ArXiv: 1501.04877}},
  title        = {{{Towards Gathering Robots with Limited View in Linear Time: The Closed  Chain Case}}},
  year         = {{2015}},
}

@inproceedings{13153,
  author       = {{Graf, Tobias and Platzner, Marco}},
  booktitle    = {{Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015, Revised Selected Papers}},
  pages        = {{1--11}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Adaptive Playouts in Monte-Carlo Tree Search with Policy-Gradient Reinforcement Learning}}},
  doi          = {{10.1007/978-3-319-27992-3_1}},
  year         = {{2015}},
}

@inproceedings{10234,
  author       = {{Hüllermeier, Eyke and Minor, M.}},
  booktitle    = {{in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343}},
  publisher    = {{Springer}},
  title        = {{{Case-Based Reasoning Research and Development }}},
  year         = {{2015}},
}

@inproceedings{10235,
  author       = {{Hoffmann, F. and Hüllermeier, Eyke}},
  title        = {{{Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing}}},
  year         = {{2015}},
}