@inproceedingsHüllermeier_Vanderlooy_2008, title=Weighted voting as approximate MAP prediction in pairwise classification, booktitle=In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, author=Hüllermeier, Eyke and Vanderlooy, S., year=2008, pages=34–41 

@inproceedingsFober_Hüllermeier_Mernberger_2008, title=Evolutionary construction of multiple graph alignments for mining structured biomolecular data , booktitle=In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, author=Fober, T. and Hüllermeier, Eyke and Mernberger, M., year=2008, pages=27–33 

@inproceedingsFober_Hüllermeier_Mernberger_2008, title=Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules, booktitle=iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, author=Fober, T. and Hüllermeier, Eyke and Mernberger, M., editor=Beyer, A. and Schroeder, M.Editors, year=2008, pages=44–53 

@articleHühn_Hüllermeier_2008, title=Is an ordinal class structure useful in classifier learning?, volume=1, number=1, journal=International Journal of Data Mining, Modeling and Management , author=Hühn, J. and Hüllermeier, Eyke, year=2008, pages=45–67 

@articleHüllermeier_Fürnkranz_Cheng_Brinker_2008, title=Label ranking by learning pairwise preferences, volume=172, journal=Artificial Intelligence, author=Hüllermeier, Eyke and Fürnkranz, J. and Cheng, W. and Brinker, K., year=2008, pages=1897–1917 

@articleVanderlooy_Hüllermeier_2008, title=A critical analysis of variants of the AUC, volume=72, journal=Machine Learning, author=Vanderlooy, S. and Hüllermeier, Eyke, year=2008, pages=247–272 

@articleFürnkranz_Hüllermeier_Mencia_Brinker_2008, title=Multilabel classification via calibrated label ranking, volume=73, number=2, journal=Machine Learning, author=Fürnkranz, J. and Hüllermeier, Eyke and Mencia, E. and Brinker, K., year=2008, pages=133–153 

@articleHüllermeier_Brinker_2008, title=Learning valued preference structures for solving classification problems, volume=159, number=18, journal=Fuzzy Sets and Systems, author=Hüllermeier, Eyke and Brinker, K., year=2008, pages=2337–2352 

@articleBeringer_Hüllermeier_2008, title=Case-based learning in a bipolar possibilistic framework, volume=23, number=10, journal=International Journal of Intelligent Systems, author=Beringer, J. and Hüllermeier, Eyke, year=2008, pages=1119–1134 

@inbookHüllermeier_2008, title=Granular computing in machine learning and data mining, booktitle=Handbook on Granular Computing, publisher=John Wiley and Sons, author=Hüllermeier, Eyke, editor=Pedrycz, W. and Skowron, A. and Kreinovich, V.Editors, year=2008, pages=889–906