@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@unpublished{16397,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}},
}

@inproceedings{10236,
  author       = {{Abdel-Aziz, A. and Hüllermeier, Eyke}},
  booktitle    = {{In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015)}},
  pages        = {{1--14}},
  title        = {{{Case Base Maintenance in Preference-Based CBR}}},
  year         = {{2015}},
}

@inproceedings{10237,
  author       = {{Szörényi, B. and Busa-Fekete, Robert and Weng, P. and Hüllermeier, Eyke}},
  booktitle    = {{In Proceedings International Conference on Machine Learning (ICML 2015)}},
  pages        = {{1660--1668}},
  title        = {{{Qualitative Multi-Armed Bandits: A Quantile-Based Approach}}},
  year         = {{2015}},
}

@inproceedings{10238,
  author       = {{Schäfer, Dirk and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD)}},
  pages        = {{227--242}},
  title        = {{{Dyad Ranking Using A Bilinear Plackett-Luce Model}}},
  year         = {{2015}},
}

@inproceedings{10239,
  author       = {{Hüllermeier, Eyke and Cheng, W.}},
  booktitle    = {{in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD)}},
  pages        = {{260--275}},
  title        = {{{Superset Learning Based on Generalized Loss Minimization }}},
  year         = {{2015}},
}

@inproceedings{10240,
  author       = {{Henzgen, Sascha and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD)}},
  pages        = {{422--437}},
  title        = {{{Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations}}},
  year         = {{2015}},
}

@inproceedings{10241,
  author       = {{Szörényi, B. and Busa-Fekete, Robert and Paul, Adil and Hüllermeier, Eyke}},
  booktitle    = {{in Advances in Neural Information Processing Systems 28 (NIPS 2015)}},
  pages        = {{604--612}},
  title        = {{{Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach}}},
  year         = {{2015}},
}

@inproceedings{10242,
  author       = {{Szörényi, B. and Busa-Fekete, Robert and Dembczynski, K. and Hüllermeier, Eyke}},
  booktitle    = {{in Advances in Neural Information Processing Systems 28 (NIPS 2015)}},
  pages        = {{595--603}},
  title        = {{{Online F-Measure Optimization}}},
  year         = {{2015}},
}

@inproceedings{10243,
  author       = {{El Mesaoudi-Paul, Adil and Hüllermeier, Eyke}},
  booktitle    = {{in Workshop Proc. 23rd International Conference on Case-Based Reasoning (ICCBR 2015)}},
  pages        = {{68--77}},
  title        = {{{A CBR Approach to the Angry Birds Game}}},
  year         = {{2015}},
}

@inproceedings{10244,
  author       = {{Schäfer, Dirk and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML)}},
  pages        = {{110--111}},
  title        = {{{Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations}}},
  year         = {{2015}},
}