@article{16081,
  author       = {{Bösner, S. and Bönisch, K. and Haasenritter , J. and Schlegel, P. and Hüllermeier, Eyke and Donner-Banzhoff, N.}},
  journal      = {{BMC Family Practice}},
  number       = {{1}},
  pages        = {{154--162}},
  title        = {{{Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study. }}},
  volume       = {{14}},
  year         = {{2013}},
}

@article{16086,
  author       = {{Haasenritter, J. and Viniol, A. and Becker, A. and Bösner, S. and Hüllermeier, Eyke and Senge, Robin and Donner-Banzhoff, N.}},
  journal      = {{Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ)}},
  pages        = {{585--591}},
  title        = {{{Diagnose im Kontext - eine erweiterte Perspektive}}},
  volume       = {{107}},
  year         = {{2013}},
}

@article{16123,
  author       = {{Shaker, A. and Senge, R. and Hüllermeier, Eyke}},
  journal      = {{Information Sciences}},
  pages        = {{34--45}},
  title        = {{{Evolving fuzzy pattern trees for binary classification on data streams}}},
  volume       = {{220}},
  year         = {{2013}},
}

@inproceedings{13115,
  author       = {{Szarvas, G. and Busa-Fekete, Robert and Hüllermeier, Eyke}},
  booktitle    = {{In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA}},
  title        = {{{Learning to rank lexical substitutions}}},
  year         = {{2013}},
}

@inproceedings{13116,
  author       = {{Dembczynski, K. and Jachnik, A. and Kotlowski, W. and Waegeman, W. and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA}},
  editor       = {{Dasgupta, S. and McAllester, D.}},
  pages        = {{1130--1138}},
  title        = {{{Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization}}},
  year         = {{2013}},
}

@inproceedings{13117,
  author       = {{Busa-Fekete, Robert and Szoreny, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA}},
  editor       = {{Dasgupta, S. and McAllester, D.}},
  pages        = {{1094--1102}},
  title        = {{{Top-k selection based on adaptive sampling of noisy preferences}}},
  year         = {{2013}},
}

@inproceedings{13118,
  author       = {{Hüllermeier, Eyke and Cheng, W.}},
  booktitle    = {{in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China}},
  editor       = {{Rossi, F.}},
  pages        = {{3012--3016}},
  publisher    = {{AAAI Press}},
  title        = {{{Preference-based CBR: General ideas and basic principles}}},
  year         = {{2013}},
}

@inproceedings{13119,
  author       = {{Henzgen, Sascha and Strickert, M. and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland}},
  editor       = {{Burduk, R. and Jackowski, K. and Kurzynski, M. and Wozniak, M. and Zolnierek, A.}},
  pages        = {{279--288}},
  publisher    = {{Springer}},
  title        = {{{Rule chains for visualizing evolving fuzzy rule-based systems}}},
  year         = {{2013}},
}

@inproceedings{13190,
  author       = {{Shaker, Ammar and Hüllermeier, Eyke}},
  booktitle    = {{in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland}},
  editor       = {{Burduk, R. and Jackowski, K. and Kurzynski, M. and Wozniak, W. and Zolnierek, A.}},
  pages        = {{289--298}},
  publisher    = {{Springer}},
  title        = {{{Recovery analysis for adaptive learning from non-stationary data streams}}},
  year         = {{2013}},
}

@inproceedings{15299,
  author       = {{Leinweber, M. and Baumgärtner, L. and Mernberger, M. and Fober, T. and Hüllermeier, Eyke and Klebe, G. and Freisleben, B.}},
  booktitle    = {{in Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione d`Italia, Italy}},
  title        = {{{GPU-based cloud computing for comparing the structure of protein binding sites}}},
  year         = {{2012}},
}

@inbook{15396,
  author       = {{Hüllermeier, Eyke and Fallah Tehrani, A.}},
  booktitle    = {{Computational Intelligence in Intelligent Data Analysis}},
  editor       = {{Moewes, C. and Nürnberger, A.}},
  pages        = {{17--30}},
  publisher    = {{Springer}},
  title        = {{{Efficient learning of classifiers based on the 2-additive Choquet integral}}},
  year         = {{2012}},
}

@inproceedings{15754,
  author       = {{Bräuning, M. and Hüllermeier, Eyke}},
  booktitle    = {{In Workshops on Preference Learning at ECAI, European Conference on Artiticial intelligence, Montpellier, France}},
  title        = {{{Learning conditional lexicographic preference trees}}},
  year         = {{2012}},
}

@inproceedings{15114,
  author       = {{Hüllermeier, Eyke and Fallah Tehrani, A.}},
  booktitle    = {{In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy}},
  title        = {{{On the VC dimension of the Choquet integral}}},
  year         = {{2012}},
}

@article{16084,
  author       = {{Fallah Tehrani, A. and Cheng, W. and Dembczynski, K. and Hüllermeier, Eyke}},
  journal      = {{Machine Learning}},
  number       = {{1}},
  pages        = {{183--211}},
  title        = {{{Learning  monotone nonlinear models using the Choquet integral}}},
  volume       = {{89}},
  year         = {{2012}},
}

@article{16085,
  author       = {{Bustince, H. and Pagola, M. and Mesiar, R. and Hüllermeier, Eyke and Herrera, F.}},
  journal      = {{IEEE Transactions on Fuzzy Systems}},
  number       = {{3}},
  pages        = {{405--415}},
  title        = {{{Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons}}},
  volume       = {{20}},
  year         = {{2012}},
}

@article{16087,
  author       = {{Fürnkranz, J. and Hüllermeier, Eyke and Cheng, W. and Park, S.H.}},
  journal      = {{Machine Learning}},
  number       = {{1}},
  pages        = {{123--156}},
  title        = {{{Preference-based reinforcement learning: A formal framework and a policy iteration algorithm}}},
  volume       = {{89}},
  year         = {{2012}},
}

@article{16088,
  author       = {{Dembczynski, K. and Waegeman, W. and Cheng, W. and Hüllermeier, Eyke}},
  journal      = {{Machine Learning}},
  number       = {{1-2}},
  pages        = {{5--45}},
  title        = {{{On label dependence and loss  minimization in multi-label classification}}},
  volume       = {{88}},
  year         = {{2012}},
}

@article{16089,
  author       = {{Shaker, Ammar and Hüllermeier, Eyke}},
  journal      = {{Evolving Systems}},
  number       = {{4}},
  pages        = {{235--249}},
  title        = {{{IBL Streams: A system for instance-based classification and regression on data streams}}},
  volume       = {{3}},
  year         = {{2012}},
}

@article{16090,
  author       = {{Dolorez Ruiz, M. and Hüllermeier, Eyke}},
  journal      = {{Information Sciences}},
  pages        = {{1--17}},
  title        = {{{A formal and empirical analysis of the fuzzy gamma rank correlation coefficient}}},
  volume       = {{206}},
  year         = {{2012}},
}

@article{16091,
  author       = {{Fallah Tehrani, A. and Cheng, W. and Hüllermeier, Eyke}},
  journal      = {{IEEE Transactions on Fuzzy Systems}},
  number       = {{6}},
  pages        = {{1102--1113}},
  title        = {{{Preference learning using the Choquet integral: The case of multipartite ranking}}},
  volume       = {{20}},
  year         = {{2012}},
}