Schulte C. Reflections on the role of programming in primary and secondary computing education. In: WiPSCE. ACM; 2013:17-24.

Cheng W, Henzgen S, Hüllermeier E. Labelwise versus pairwise decomposition in label ranking. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:129-136.

Senge R, del Coz J, Hüllermeier E. Rectifying classifier chains for multi-label classification, Bamberg, Germany. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:151-158.

Busa-Fekete R, Fober T, Hüllermeier E. Preference-based evolutionary optimization using generalized racing algorithms. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:237-246.

Henzgen S, Hüllermeier E. Weighted rank correlation measures based on fuzzy order relations. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:227-236.

Weng P, Busa-Fekete R, Hüllermeier E. Interactive Q-learning with ordinal rewards and unreliable tutor. In: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.

Busa-Fekete R, Szörenyi B, Weng P, Hüllermeier E. Preference-based evolutionary direct policy search. In: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.

Cheng W, Hüllermeier E. A nearest neigbor approach to label ranking based on generalized labelwise loss minimization. In: In Proceedings M-PREF, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China. ; 2013.

Shaker A, Hüllermeier E. Event history analysis on data streams: An application to earthquake occurence. In: Krempl G, Zliobaite I, Wang Y, Forman G, eds. In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic. ; 2013:38-41.

Senge R, del Coz JJ, Hüllermeier E. On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery. In: Schmidt-Thieme L, Spiliopoulou M, eds. In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany . Springer; 2013.

Fober T, Klebe G, Hüllermeier E. Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life. In: Lausen B, Van den Poel D, Ultsch A, eds. In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany. Springer; 2013:279-286.

Böttcher S, Hartel R, Jacobs T. Fast Multi-update Operations on Compressed XML Data. In: Big Data - 29th British National Conference on Databases, BNCOD 2013,. Berlin, Heidelberg: Springer; 2013:149-164. doi:10.1007/978-3-642-39467-6_15

Böttcher S, Brandenburg M, Hartel R. DAG - Index - A Compressed Index for XML Keyword Search. In: WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies. SciTePress; 2013:137-140.

Fallah Tehrani A, Hüllermeier E. Ordinal Choquistic regression . In: Montero J, Pasi G, Ciucci D, eds. In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis Press; 2013.

Nasiri N, Fober T, Senge R, Hüllermeier E. Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada. In: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada. ; 2013:715-721.

Böttcher S, Bültmann A, Hartel R, Schlüßler J. Implementing Efficient Updates in Compressed Big Text Databases. In: International Conference on Database and Expert Systems Applications. Springer; 2013:189-202.

Owen GS, Domik G, Ebert DS, et al. How visualization courses have changed over the past 10 years. IEEE computer graphics and applications. 2013;33(4):14-19. doi:10.1109/MCG.2013.57

Alford JG, Jacob L, Dietz P. Animatronics Workshop: A Theater+ Engineering Collaboration at a High School. IEEE computer graphics and applications. 2013;33(6):9-13. doi:10.1109/MCG.2013.86

Arens S, Bolte M, Domik G. Visualizing Dissections of the Heart in a Dataflow-based Shader Framework for Volume Rendering. In: Bronstein10.2312/PE.VMV.VMV13.231-232__M, Favre10.2312/PE.VMV.VMV13.231-232__J, Hormann K, eds. Vision, Modeling &; Visualization. The Eurographics Association; 2013. doi:10.2312/PE.VMV.VMV13.231-232

Heider D, Senge R, Cheng W, Hüllermeier E. Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction. Bioinformatics. 2013;29(16):1946-1952.