@article{16158, author = {{Hühn, J. and Hüllermeier, Eyke}}, journal = {{Data Mining and Knowledge Discovery }}, pages = {{293--319}}, title = {{{FURIA: An Algorithm for unordered fuzzy rule induction}}}, volume = {{19}}, year = {{2009}}, } @article{16159, author = {{Hüllermeier, Eyke and Vanderlooy, S.}}, journal = {{IEEE Transactions on Fuzzy Systems}}, number = {{6}}, pages = {{1233--1244}}, title = {{{Why fuzzy decision trees are good rankers}}}, volume = {{17}}, year = {{2009}}, } @article{16161, author = {{Yi, Y. and Fober, T. and Hüllermeier, Eyke}}, journal = {{International Journal of Computational Intelligence and Applications}}, number = {{4}}, pages = {{413--428}}, title = {{{Fuzzy operator trees for modeling rating functions}}}, volume = {{8}}, year = {{2009}}, } @article{16162, author = {{Fober, T. and Mernberger, M. and Klebe, G. and Hüllermeier, Eyke}}, journal = {{Bioinformatics}}, number = {{16}}, pages = {{2110--2117}}, title = {{{Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules}}}, volume = {{25}}, year = {{2009}}, } @article{16163, author = {{Hühn, J. and Hüllermeier, Eyke}}, journal = {{IEEE Transactions on Fuzzy Systems}}, number = {{1}}, pages = {{138--149}}, title = {{{FR3: A fuzzy rule learner for inducing reliable classifiers}}}, volume = {{17}}, year = {{2009}}, } @article{16165, author = {{Hüllermeier, Eyke and Vladimirskiy, I. and Prados Suarez, B. and Stauch, E.}}, journal = {{Künstliche Intelligenz}}, number = {{09}}, pages = {{24--29}}, title = {{{Supporting case-based retrieval by similarity skylines: Basic concepts and extensions}}}, volume = {{1}}, year = {{2009}}, } @inbook{10188, author = {{Hüllermeier, Eyke}}, booktitle = {{Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications}}, editor = {{Seising, R.}}, pages = {{457--470}}, publisher = {{Springer}}, title = {{{On the usefulness of fuzzy sets in data mining}}}, year = {{2009}}, } @inproceedings{13595, author = {{Cheng, W. and Hühn, J. and Hüllermeier, Eyke}}, booktitle = {{in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada}}, pages = {{161--168}}, title = {{{Decision tree and instance-based learning for label ranking}}}, year = {{2009}}, } @inproceedings{13596, author = {{Fürnkranz, J. and Hüllermeier, Eyke and Vanderlooy, S.}}, booktitle = {{In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia}}, title = {{{Binary decomposition methods for multipartite ranking}}}, year = {{2009}}, } @inproceedings{13598, author = {{Cheng, W. and Hüllermeier, Eyke}}, booktitle = {{in Proceedings 6th International Symposium on Neural Networks, Wuhan, China}}, number = {{LNCS 5551}}, pages = {{707--716}}, publisher = {{Springer}}, title = {{{A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks}}}, year = {{2009}}, } @inproceedings{15779, author = {{Hüllermeier, Eyke and Vanderlooy, S.}}, booktitle = {{In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany}}, pages = {{34--41}}, title = {{{Weighted voting as approximate MAP prediction in pairwise classification}}}, year = {{2008}}, } @inproceedings{15780, author = {{Fober, T. and Hüllermeier, Eyke and Mernberger, M.}}, booktitle = {{In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany}}, pages = {{27--33}}, title = {{{Evolutionary construction of multiple graph alignments for mining structured biomolecular data }}}, year = {{2008}}, } @inproceedings{15781, author = {{Fober, T. and Hüllermeier, Eyke and Mernberger, M.}}, booktitle = {{iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008}}, editor = {{Beyer, A. and Schroeder, M.}}, pages = {{44--53}}, title = {{{Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules}}}, year = {{2008}}, } @article{16164, author = {{Hühn, J. and Hüllermeier, Eyke}}, journal = {{International Journal of Data Mining, Modeling and Management }}, number = {{1}}, pages = {{45--67}}, title = {{{Is an ordinal class structure useful in classifier learning?}}}, volume = {{1}}, year = {{2008}}, } @article{16166, author = {{Hüllermeier, Eyke and Fürnkranz, J. and Cheng, W. and Brinker, K.}}, journal = {{Artificial Intelligence}}, pages = {{1897--1917}}, title = {{{Label ranking by learning pairwise preferences}}}, volume = {{172}}, year = {{2008}}, } @article{16167, author = {{Vanderlooy, S. and Hüllermeier, Eyke}}, journal = {{Machine Learning}}, pages = {{247--272}}, title = {{{A critical analysis of variants of the AUC}}}, volume = {{72}}, year = {{2008}}, } @article{16168, author = {{Fürnkranz, J. and Hüllermeier, Eyke and Mencia, E. and Brinker, K.}}, journal = {{Machine Learning}}, number = {{2}}, pages = {{133--153}}, title = {{{Multilabel classification via calibrated label ranking}}}, volume = {{73}}, year = {{2008}}, } @article{16169, author = {{Hüllermeier, Eyke and Brinker, K.}}, journal = {{Fuzzy Sets and Systems}}, number = {{18}}, pages = {{2337--2352}}, title = {{{Learning valued preference structures for solving classification problems}}}, volume = {{159}}, year = {{2008}}, } @article{16184, author = {{Beringer, J. and Hüllermeier, Eyke}}, journal = {{International Journal of Intelligent Systems}}, number = {{10}}, pages = {{1119--1134}}, title = {{{Case-based learning in a bipolar possibilistic framework}}}, volume = {{23}}, year = {{2008}}, } @inbook{16225, author = {{Hüllermeier, Eyke}}, booktitle = {{Handbook on Granular Computing}}, editor = {{Pedrycz, W. and Skowron, A. and Kreinovich, V.}}, pages = {{889--906}}, publisher = {{John Wiley and Sons}}, title = {{{Granular computing in machine learning and data mining}}}, year = {{2008}}, }