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5693 Publications
2013 | Conference Paper | LibreCat-ID: 15664
T. Busjahn and C. Schulte, “The use of code reading in teaching programming,” in Koli Calling, 2013, pp. 3–11.
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2013 | Conference Paper | LibreCat-ID: 15665
J. Bennedsen and C. Schulte, “Object Interaction Competence Model v. 2.0,” in LaTiCE, 2013, pp. 9–16.
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2013 | Conference Paper | LibreCat-ID: 15666
M. Buchholz, M. Saeli, and C. Schulte, “PCK and reflection in computer science teacher education,” in WiPSCE, 2013, pp. 8–16.
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2013 | Conference Paper | LibreCat-ID: 15667
C. Schulte, “Reflections on the role of programming in primary and secondary computing education,” in WiPSCE, 2013, pp. 17–24.
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2013 | Conference Paper | LibreCat-ID: 15752
W. Cheng, S. Henzgen, and E. Hüllermeier, “Labelwise versus pairwise decomposition in label ranking,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.
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2013 | Conference Paper | LibreCat-ID: 15753
R. Senge, J. del Coz, and E. Hüllermeier, “Rectifying classifier chains for multi-label classification, Bamberg, Germany,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.
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2013 | Conference Paper | LibreCat-ID: 15755
R. Busa-Fekete, T. Fober, and E. Hüllermeier, “Preference-based evolutionary optimization using generalized racing algorithms,” in in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, 2013, pp. 237–246.
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2013 | Conference Paper | LibreCat-ID: 15756
S. Henzgen and E. Hüllermeier, “Weighted rank correlation measures based on fuzzy order relations,” in in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, 2013, pp. 227–236.
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2013 | Conference Paper | LibreCat-ID: 15757
P. Weng, R. Busa-Fekete, and E. Hüllermeier, “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.
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2013 | Conference Paper | LibreCat-ID: 15758
R. Busa-Fekete, B. Szörenyi, P. Weng, and E. Hüllermeier, “Preference-based evolutionary direct policy search,” in In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.
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2013 | Conference Paper | LibreCat-ID: 15759
W. Cheng and E. Hüllermeier, “A nearest neigbor approach to label ranking based on generalized labelwise loss minimization,” in In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.
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2013 | Conference Paper | LibreCat-ID: 15760
A. Shaker and E. Hüllermeier, “Event history analysis on data streams: An application to earthquake occurence,” in In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, 2013, pp. 38–41.
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2013 | Conference Paper | LibreCat-ID: 15761
R. Senge, J. J. del Coz, and E. Hüllermeier, “On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery,” in In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , 2013.
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2013 | Conference Paper | LibreCat-ID: 15763
T. Fober, G. Klebe, and E. Hüllermeier, “Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life,” in In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, 2013, pp. 279–286.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15094
S. Böttcher, M. Brandenburg, and R. Hartel, “DAG - Index - A Compressed Index for XML Keyword Search,” in WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies, 2013, pp. 137–140.
LibreCat
2013 | Conference Paper | LibreCat-ID: 15112
A. Fallah Tehrani and E. Hüllermeier, “Ordinal Choquistic regression ,” in in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, 2013.
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2013 | Conference Paper | LibreCat-ID: 15113
N. Nasiri, T. Fober, R. Senge, and E. Hüllermeier, “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, pp. 715–721.
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2013 | Conference Paper | LibreCat-ID: 15162
S. Böttcher, A. Bültmann, R. Hartel, and J. Schlüßler, “Implementing Efficient Updates in Compressed Big Text Databases,” in International Conference on Database and Expert Systems Applications, 2013, pp. 189–202.
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2013 | Journal Article | LibreCat-ID: 16044
D. Heider, R. Senge, W. Cheng, and E. Hüllermeier, “Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction,” Bioinformatics, vol. 29, no. 16, pp. 1946–1952, 2013.
LibreCat
2013 | Journal Article | LibreCat-ID: 16081
S. Bösner, K. Bönisch, J. Haasenritter , P. Schlegel, E. Hüllermeier, and N. Donner-Banzhoff, “Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study. ,” BMC Family Practice, vol. 14, no. 1, pp. 154–162, 2013.
LibreCat
2013 | Journal Article | LibreCat-ID: 16086
J. Haasenritter et al., “Diagnose im Kontext - eine erweiterte Perspektive,” Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ), vol. 107, pp. 585–591, 2013.
LibreCat
2013 | Journal Article | LibreCat-ID: 16123
A. Shaker, R. Senge, and E. Hüllermeier, “Evolving fuzzy pattern trees for binary classification on data streams,” Information Sciences, vol. 220, pp. 34–45, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13115
G. Szarvas, R. Busa-Fekete, and E. Hüllermeier, “Learning to rank lexical substitutions,” in In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13116
K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, and E. Hüllermeier, “Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization,” in in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13117
R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, and E. Hüllermeier, “Top-k selection based on adaptive sampling of noisy preferences,” in in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
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2013 | Conference Paper | LibreCat-ID: 13118
E. Hüllermeier and W. Cheng, “Preference-based CBR: General ideas and basic principles,” in in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China, 2013, pp. 3012–3016.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13119
S. Henzgen, M. Strickert, and E. Hüllermeier, “Rule chains for visualizing evolving fuzzy rule-based systems,” in in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, 2013, pp. 279–288.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13190
A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from non-stationary data streams,” in in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland, 2013, pp. 289–298.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13645
T. Graf, L. Schäfers, and M. Platzner, “On Semeai Detection in Monte-Carlo Go.,” in Proceedings of the International Conference on Computers and Games (CG), 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 36919
F. Mischkalla and W. Müller, “Efficient Power-Intent Validation Using ‘Loosely-Timed’ Simulation Models: A Non-Invasive Approach,” presented at the 23rd International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2013, doi: 10.1109/PATMOS.2013.6662171.
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| DOI
2013 | Conference Paper | LibreCat-ID: 36920
D. He and W. Müller, “An Energy-Efficient Heuristic for Hard Real-Time System on Multi-Core Processors,” in Proceedings of the International Conference on Applied Computing (AC), 2013.
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2013 | Dissertation | LibreCat-ID: 8425 | 
S. Gharibian, Approximation, Proof Systems, and Correlations in a Quantum World. 2013.
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| arXiv
2013 | Journal Article | LibreCat-ID: 8173 |
S. Gharibian, J. Sikora, and S. Upadhyay, “QMA variants with polynomially many provers,” Quantum Information & Computation, vol. 13, no. 1–2, pp. 135–157, 2013.
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| arXiv
2013 | Conference Paper | LibreCat-ID: 528
H. Riebler, T. Kenter, C. Sorge, and C. Plessl, “FPGA-accelerated Key Search for Cold-Boot Attacks against AES,” in Proceedings of the International Conference on Field-Programmable Technology (FPT), 2013, pp. 386–389, doi: 10.1109/FPT.2013.6718394.
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| DOI
2013 | Conference Paper | LibreCat-ID: 505
M. Happe, P. Kling, C. Plessl, M. Platzner, and F. Meyer auf der Heide, “On-The-Fly Computing: A Novel Paradigm for Individualized IT Services,” 2013, doi: 10.1109/ISORC.2013.6913232.
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| DOI
2013 | Conference Paper | LibreCat-ID: 1787
T. Suess, A. Schoenrock, S. Meisner, and C. Plessl, “Parallel Macro Pipelining on the Intel SCC Many-Core Computer,” in Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW), 2013, pp. 64–73, doi: 10.1109/IPDPSW.2013.136.
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| DOI
2013 | Book Chapter | LibreCat-ID: 46385
H. V. Sosa, O. Schütze, G. Rudolph, and H. Trautmann, “The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume,” in EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV, vol. 227, M. Emmerich, A. Deutz, O. Schuetze, T. Bäck, A. Tantar, P. Moral, P. Legrand, P. Bouvry, and C. Coello, Eds. Springer International Publishing, 2013, pp. 189–205.
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| DOI
2013 | Book Chapter | LibreCat-ID: 46386
H. Trautmann, G. Rudolph, C. Dominguez-Medina, and O. Schütze, “Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems,” in EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, vol. 175, O. Schütze, C. C. Coello, A. Tantar, E. Tantar, P. Bouvry, M. P. Del, and P. Legrand, Eds. Springer Berlin Heidelberg, 2013, pp. 89–105.
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| DOI
2013 | Conference Paper | LibreCat-ID: 46388
S. Nallaperuma, M. Wagner, F. Neumann, B. Bischl, O. Mersmann, and H. Trautmann, “A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem,” in Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII, 2013, pp. 147–160, doi: 10.1145/2460239.2460253.
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| DOI
2013 | Conference Paper | LibreCat-ID: 46390
G. Rudolph, H. Trautmann, S. Sengupta, and O. Schütze, “Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation,” in Evolutionary Multi-Criterion Optimization — 7$^th$ International Conference, EMO 2013, Sheffield, UK, Proceedings, 2013, vol. 7811, pp. 443–458, doi: https://doi.org/10.1007/978-3-642-37140-0_34.
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| DOI
2013 | Conference Paper | LibreCat-ID: 46391
V. Sosa-Hernandez, O. Schütze, G. Rudoph, and H. Trautmann, “Directed Search Method for Indicator-based Multi-objective Evolutionary Algorithms,” in Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion, 2013, pp. 1699–1702, doi: 10.1145/2464576.2482756.
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| DOI
2013 | Conference Paper | LibreCat-ID: 46387
C. Dominguez-Medina, G. Rudolph, O. Schütze, and H. Trautmann, “Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique,” in Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC), 2013, pp. 3190–3197, doi: https://doi.org/10.1109/CEC.2013.6557960.
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| DOI
2013 | Conference Paper | LibreCat-ID: 46389
M. Preuss, D. Kozakowski, J. Hagelbäck, and H. Trautmann, “Reactive strategy choice in StarCraft by means of Fuzzy Control,” in 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013, pp. 1–8, doi: 10.1109/CIG.2013.6633627.
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| DOI