439 Publications

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[439]
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.
LibreCat
 
[438]
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.
LibreCat
 
[437]
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.
LibreCat
 
[436]
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.
LibreCat
 
[435]
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.
LibreCat
 
[434]
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.
LibreCat
 
[433]
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.
LibreCat
 
[432]
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.
LibreCat
 
[431]
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.
LibreCat
 
[430]
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
 
[429]
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.
LibreCat
 
[428]
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.
LibreCat
 
[427]
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
 
[426]
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
 
[425]
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
 
[424]
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
 
[423]
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
 
[422]
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
 
[421]
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.
LibreCat
 
[420]
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
 
[419]
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
 
[418]
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
 
[417]
2012 | Conference Paper | LibreCat-ID: 15299
M. Leinweber et al., “GPU-based cloud computing for comparing the structure of protein binding sites,” in in Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione d`Italia, Italy, 2012.
LibreCat
 
[416]
2012 | Book Chapter | LibreCat-ID: 15396
E. Hüllermeier and A. Fallah Tehrani, “Efficient learning of classifiers based on the 2-additive Choquet integral,” in Computational Intelligence in Intelligent Data Analysis, C. Moewes and A. Nürnberger, Eds. Springer, 2012, pp. 17–30.
LibreCat
 
[415]
2012 | Conference Paper | LibreCat-ID: 15754
M. Bräuning and E. Hüllermeier, “Learning conditional lexicographic preference trees,” in In Workshops on Preference Learning at ECAI, European Conference on Artiticial intelligence, Montpellier, France, 2012.
LibreCat
 
[414]
2012 | Conference Paper | LibreCat-ID: 15114
E. Hüllermeier and A. Fallah Tehrani, “On the VC dimension of the Choquet integral,” in In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
LibreCat
 
[413]
2012 | Journal Article | LibreCat-ID: 16084
A. Fallah Tehrani, W. Cheng, K. Dembczynski, and E. Hüllermeier, “Learning  monotone nonlinear models using the Choquet integral,” Machine Learning, vol. 89, no. 1, pp. 183–211, 2012.
LibreCat
 
[412]
2012 | Journal Article | LibreCat-ID: 16085
H. Bustince, M. Pagola, R. Mesiar, E. Hüllermeier, and F. Herrera, “Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 3, pp. 405–415, 2012.
LibreCat
 
[411]
2012 | Journal Article | LibreCat-ID: 16087
J. Fürnkranz, E. Hüllermeier, W. Cheng, and S. H. Park, “Preference-based reinforcement learning: A formal framework and a policy iteration algorithm,” Machine Learning, vol. 89, no. 1, pp. 123–156, 2012.
LibreCat
 
[410]
2012 | Journal Article | LibreCat-ID: 16088
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “On label dependence and loss  minimization in multi-label classification,” Machine Learning, vol. 88, no. 1–2, pp. 5–45, 2012.
LibreCat
 
[409]
2012 | Journal Article | LibreCat-ID: 16089
A. Shaker and E. Hüllermeier, “IBL Streams: A system for instance-based classification and regression on data streams,” Evolving Systems, vol. 3, no. 4, pp. 235–249, 2012.
LibreCat
 
[408]
2012 | Journal Article | LibreCat-ID: 16090
M. Dolorez Ruiz and E. Hüllermeier, “A formal and empirical analysis of the fuzzy gamma rank correlation coefficient,” Information Sciences, vol. 206, pp. 1–17, 2012.
LibreCat
 
[407]
2012 | Journal Article | LibreCat-ID: 16091
A. Fallah Tehrani, W. Cheng, and E. Hüllermeier, “Preference learning using the Choquet integral: The case of multipartite ranking,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 6, pp. 1102–1113, 2012.
LibreCat
 
[406]
2012 | Journal Article | LibreCat-ID: 16092
T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Fingerprint kernels for protein structure comparison,” Molecular Informatics, vol. 31, no. 6–7, pp. 443–452, 2012.
LibreCat
 
[405]
2012 | Journal Article | LibreCat-ID: 16093
E. Hüllermeier, M. Rifqi, S. Henzgen, and R. Senge, “Comparing fuzzy partitions: A generalization of the Rand index and related measures,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 3, pp. 546–556, 2012.
LibreCat
 
[404]
2012 | Journal Article | LibreCat-ID: 16094
R. Senge, T. Fober, N. Nasiri, and E. Hüllermeier, “Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung,” At-Atomatisierungstechnik, vol. 60, no. 10, pp. 622–629, 2012.
LibreCat
 
[403]
2012 | Conference Paper | LibreCat-ID: 13120
W. Cheng, E. Hüllermeier, W. Waegeman, and V. Welker, “Label ranking with partial abstention based on thresholded probalistic models,” in In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
LibreCat
 
[402]
2012 | Conference Paper | LibreCat-ID: 13191
W. Cheng and E. Hüllermeier, “Probability estimation for mulit-class classification based on label ranking,” in Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
LibreCat
 
[401]
2012 | Conference Paper | LibreCat-ID: 13192
K. Dembczynski, W. Kotlowski, and E. Hüllermeier, “Consistent multilabel ranking through univariate loss minimization,” in in Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, 2012.
LibreCat
 
[400]
2012 | Conference Paper | LibreCat-ID: 13193
K. Dembczynski, W. Waegeman, and E. Hüllermeier, “An analysis of chaining in multi-label classification,” in In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , 2012, pp. 294–299.
LibreCat
 
[399]
2012 | Book Chapter | LibreCat-ID: 10153
E. Hüllermeier, “Fuzzy rules in data mining: From fuzzy associations to gradual dependencies,” in Combining Experimentation and Theory, vol. 271, E. Trillas, P. P. Bonissone, L. Magdalena, and J. Kacprzyk, Eds. Springer, 2012, pp. 123–135.
LibreCat
 
[398]
2011 | Conference Paper | LibreCat-ID: 15762
K. Dembczynski, W. Waegeman, and E. Hüllermeier, “Joint mode estimation in multi-label classification by chaining,” in In Proceedings ECML Workshop on Collective inference and Learning on Structured Data, Athens, Greece, 2011.
LibreCat
 
[397]
2011 | Conference Paper | LibreCat-ID: 15764
M. Mernberger, D. Moog, S. Stork, S. Zauner, U. Maier, and E. Hüllermeier, “Prediction of protein localization for specialized compartments using time series kernels,” in In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
LibreCat
 
[396]
2011 | Conference Paper | LibreCat-ID: 15115
M. Nasiri, E. Hüllermeier, R. Senge, and E. Lughofer, “Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry,” in in Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.
LibreCat
 
[395]
2011 | Conference Paper | LibreCat-ID: 15116
E. Lughofer and E. Hüllermeier, “On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure,” in in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France, 2011, pp. 380–387.
LibreCat
 
[394]
2011 | Conference Paper | LibreCat-ID: 15117
A. Fallah Tehrani, W. Cheng, and E. Hüllermeier, “Choquistic regression: Generalizing logistic regression using the Choquet integral,” in in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France, 2011, pp. 868–875.
LibreCat
 
[393]
2011 | Journal Article | LibreCat-ID: 16119
O. Hirsch, S. Bösner, E. Hüllermeier, R. Senge, K. Dembczynski, and N. Donner-Banzhoff, “Multivariate modeling to identify patterns in clinical data: The example of chest pain,” BMC Medical Research Methodology, vol. 11, no. 155, 2011.
LibreCat
 
[392]
2011 | Journal Article | LibreCat-ID: 16126
C. Domshlak, E. Hüllermeier, S. Kaci, and H. Prade, “Preferences in AL: An overview,” Artificial Intelligence, vol. 175, no. 7–8, pp. 1037–1052, 2011.
LibreCat
 
[391]
2011 | Journal Article | LibreCat-ID: 16147
E. Hüllermeier, “Fuzzy machine learning and data mining,” WIREs Data Mining and Knowledge Discovery, vol. 1, no. 4, pp. 269–283, 2011.
LibreCat
 
[390]
2011 | Journal Article | LibreCat-ID: 16148
M. Mernberger, G. Klebe, and E. Hüllermeier, “SEGA: Semi-global graph alignment for structure-based protein comparison,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 8, no. 5, pp. 1330–1343, 2011.
LibreCat
 
[389]
2011 | Journal Article | LibreCat-ID: 16149
T. Fober, S. Glinca, G. Klebe, and E. Hüllermeier, “Superposition and alignment of labeled point clouds,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 6, pp. 1653–1666, 2011.
LibreCat
 
[388]
2011 | Journal Article | LibreCat-ID: 16150
E. Hüllermeier, “Fuzzy sets in machine learning and data mining,” Applied Soft Computing Journal, pp. 1493–1505, 2011.
LibreCat
 
[387]
2011 | Journal Article | LibreCat-ID: 16153
R. Senge and E. Hüllermeier, “Top-down induction of fuzzy pattern trees,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 2, pp. 241–252, 2011.
LibreCat
 
[386]
2011 | Conference Paper | LibreCat-ID: 13194
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “An exact algorithm for F-measure maximization,” in In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
LibreCat
 
[385]
2011 | Conference Paper | LibreCat-ID: 13195
W. Cheng, J. Fuernkranz, E. Hüllermeier, and S. H. Park, “Preference-based policy iteration: Leveraging preference learning for reinforcement learning,” in Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
LibreCat
 
[384]
2011 | Conference Paper | LibreCat-ID: 13196
J. Fürnkranz and E. Hüllermeier, “Learning from label preferences,” in in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI, 2011, pp. 2–17.
LibreCat
 
[383]
2011 | Conference Paper | LibreCat-ID: 13197
A. Fallah Tehrani, W. Cheng, K. Dembczynski, and E. Hüllermeier, “Learning  monotone nonlinear models using the Choquet integral,” in In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
LibreCat
 
[382]
2011 | Conference Paper | LibreCat-ID: 13198
E. Hüllermeier and P. Schlegel, “Preference-based CBR: First steps toward a methodological framework,” in In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI, 2011, pp. 77–91.
LibreCat
 
[381]
2011 | Conference Paper | LibreCat-ID: 13588
W. Kotlowski, K. Dembczynski, and E. Hüllermeier, “Bipartite ranking through minimization of univariate loss,” in in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
LibreCat
 
[380]
2010 | Book Chapter | LibreCat-ID: 15297
E. Hüllermeier and J. Hühn, “An Analysis of the FURIA algorithm for fuzzy rule induction,” in Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, vol. 262, J. Koronacki, Z. W. Ras, S. T. Wierzchon, and J. Kacprzyk, Eds. Springer, 2010, pp. 321–344.
LibreCat
 
[379]
2010 | Book Chapter | LibreCat-ID: 15298
J. Fürnkranz and E. Hüllermeier, “Preference Learning: An Introduction,” in Preference Learning, J. Fürnkranz and E. Hüllermeier, Eds. Springer, 2010, pp. 1–18.
LibreCat
 
[378]
2010 | Conference Paper | LibreCat-ID: 15765
T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Efficient similarity retrieval for protein binding sites based on histogram comparison,” in In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.
LibreCat
 
[377]
2010 | Conference Paper | LibreCat-ID: 15772
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “On label dependence in multi-label classification,” in In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
LibreCat
 
[376]
2010 | Conference Paper | LibreCat-ID: 15118
T. Fober and E. Hüllermeier, “Similarity measures for protein structures based on fuzzy histogram comparison,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
 
[375]
2010 | Conference Paper | LibreCat-ID: 15119
R. Senge and E. Hüllermeier, “Pattern trees for regression and fuzzy systems modeling,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
 
[374]
2010 | Journal Article | LibreCat-ID: 16121
P. Pfeffer, T. Fober, E. Hüllermeier, and G. Klebe, “GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm,” Journal of Chemical Information and Modeling, vol. 50, no. 9, pp. 1644–1659, 2010.
LibreCat
 
[373]
2010 | Journal Article | LibreCat-ID: 16151
E. Hüllermeier and S. Vanderlooy, “Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting,” Pattern Recognition, vol. 43, no. 1, pp. 128–142, 2010.
LibreCat
 
[372]
2010 | Journal Article | LibreCat-ID: 16152
E. Hüllermeier and J. Fürnkranz, “On predictive accuracy and risk minimization in pairwise label ranking,” Journal of Computer and System Sciences, vol. 76, no. 1, pp. 49–62, 2010.
LibreCat
 
[371]
2010 | Conference Paper | LibreCat-ID: 13589
K. Dembczynski, W. Cheng, and E. Hüllermeier, “Bayes optimal multilabel classification via probalistic classifier chains,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
LibreCat
 
[370]
2010 | Conference Paper | LibreCat-ID: 13590
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Label ranking based on the Plackett-Luce model,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
LibreCat
 
[369]
2010 | Conference Paper | LibreCat-ID: 13591
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Graded multi-label classification: The ordinal case,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
LibreCat
 
[368]
2010 | Conference Paper | LibreCat-ID: 13593
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
LibreCat
 
[367]
2010 | Conference Paper | LibreCat-ID: 13594
W. Cheng, M. Rademaker, B. De Beats, and E. Hüllermeier, “Predicting partial orders: Ranking with abstention,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
LibreCat
 
[366]
2010 | Conference Paper | LibreCat-ID: 13597
E. Hüllermeier, “Uncertainty in clustering and classification ,” in in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , 2010, vol. 6379, no. LNCS, pp. 16–19.
LibreCat
 
[365]
2009 | Conference Paper | LibreCat-ID: 15773
W. Cheng and E. Hüllermeier, “A simple instance-based approach to multilabel classification using the Mallows model,” in In Proceedings MLD-2009 1st  International Workshop on Learning from Multi-Label Data, Bled, Slovenia, 2009, pp. 28–38.
LibreCat
 
[364]
2009 | Conference Paper | LibreCat-ID: 15774
R. Senge and E. Hüllermeier, “Learning pattern tree classifiers using a co-evolutionary algorithm,” in in Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, 2009, pp. 22–33.
LibreCat
 
[363]
2009 | Conference Paper | LibreCat-ID: 15775
T. Fober, M. Mernberger, R. Moritz, and E. Hüllermeier, “Graph-kernels for the comparative analysis of protein active sites,” in In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, 2009, pp. 21–31.
LibreCat
 
[362]
2009 | Conference Paper | LibreCat-ID: 15776
R. Senge and E. Hüllermeier, “Learning pattern tree classifiers using a co-evolutionary algorithm,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 105–110.
LibreCat
 
[361]
2009 | Conference Paper | LibreCat-ID: 15778
T. Fober, M. Mernberger, V. Melnikov, R. Moritz, and E. Hüllermeier, “Extension and empirical comparison of graph-kernels for the analysis of protein active sites,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 30–36.
LibreCat
 
[360]
2009 | Conference Paper | LibreCat-ID: 15120
T. Fober, G. Klebe, and E. Hüllermeier, “Efficient construction of multiple geometrical alignments for the comparison of protein binding sites,” in in Proceedings ISDA-2009, 9th international Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 1251–1256.
LibreCat
 
[359]
2009 | Conference Paper | LibreCat-ID: 15194
I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger, and E. Hüllermeier, “Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection,” in In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy, 2009, pp. 1245–1250.
LibreCat
 
[358]
2009 | Conference Paper | LibreCat-ID: 15195
T. Fober and E. Hüllermeier, “Fuzzy modeling of labeled point cloud superposition  for the comparison of protein binding sites,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1299–1304.
LibreCat
 
[357]
2009 | Conference Paper | LibreCat-ID: 15196
E. Hüllermeier and M. Rifqi, “A fuzzy variant of the Rand index for comparing clustering structures,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
LibreCat
 
[356]
2009 | Journal Article | LibreCat-ID: 16154
N. Weskamp, E. Hüllermeier, and G. Klebe, “Merging chemical and biological space: Structural mapping of enzyme binding pocket space,” Proteins, vol. 76, no. 2, pp. 317–330, 2009.
LibreCat
 
[355]
2009 | Journal Article | LibreCat-ID: 16158
J. Hühn and E. Hüllermeier, “FURIA: An Algorithm for unordered fuzzy rule induction,” Data Mining and Knowledge Discovery , vol. 19, pp. 293–319, 2009.
LibreCat
 
[354]
2009 | Journal Article | LibreCat-ID: 16159
E. Hüllermeier and S. Vanderlooy, “Why fuzzy decision trees are good rankers,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 6, pp. 1233–1244, 2009.
LibreCat
 
[353]
2009 | Journal Article | LibreCat-ID: 16160
W. Cheng and E. Hüllermeier, “Combining instance-based learning and logistic regression for multilabel classification,” Machine Learning, vol. 76, no. 2–3, pp. 211–225, 2009.
LibreCat
 
[352]
2009 | Journal Article | LibreCat-ID: 16161
Y. Yi, T. Fober, and E. Hüllermeier, “Fuzzy operator trees for modeling rating functions,” International Journal of Computational Intelligence and Applications, vol. 8, no. 4, pp. 413–428, 2009.
LibreCat
 
[351]
2009 | Journal Article | LibreCat-ID: 16162
T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” Bioinformatics, vol. 25, no. 16, pp. 2110–2117, 2009.
LibreCat
 
[350]
2009 | Journal Article | LibreCat-ID: 16163
J. Hühn and E. Hüllermeier, “FR3: A fuzzy rule learner for inducing reliable classifiers,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, pp. 138–149, 2009.
LibreCat
 
[349]
2009 | Journal Article | LibreCat-ID: 16165
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” Künstliche Intelligenz, vol. 1, no. 09, pp. 24–29, 2009.
LibreCat
 
[348]
2009 | Book Chapter | LibreCat-ID: 10188
E. Hüllermeier, “On the usefulness of fuzzy sets in data mining,” in Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, R. Seising, Ed. Springer, 2009, pp. 457–470.
LibreCat
 
[347]
2009 | Conference Paper | LibreCat-ID: 13595
W. Cheng, J. Hühn, and E. Hüllermeier, “Decision tree and instance-based learning for label ranking,” in in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
LibreCat
 
[346]
2009 | Conference Paper | LibreCat-ID: 13596
J. Fürnkranz, E. Hüllermeier, and S. Vanderlooy, “Binary decomposition methods for multipartite ranking,” in In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia, 2009.
LibreCat
 
[345]
2009 | Conference Paper | LibreCat-ID: 13598
W. Cheng and E. Hüllermeier, “A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks,” in in Proceedings 6th International Symposium on Neural Networks, Wuhan, China, 2009, no. LNCS 5551, pp. 707–716.
LibreCat
 
[344]
2008 | Conference Paper | LibreCat-ID: 15779
E. Hüllermeier and S. Vanderlooy, “Weighted voting as approximate MAP prediction in pairwise classification,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
LibreCat
 
[343]
2008 | Conference Paper | LibreCat-ID: 15780
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for mining structured biomolecular data ,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
LibreCat
 
[342]
2008 | Conference Paper | LibreCat-ID: 15781
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
LibreCat
 
[341]
2008 | Journal Article | LibreCat-ID: 16164
J. Hühn and E. Hüllermeier, “Is an ordinal class structure useful in classifier learning?,” International Journal of Data Mining, Modeling and Management , vol. 1, no. 1, pp. 45–67, 2008.
LibreCat
 
[340]
2008 | Journal Article | LibreCat-ID: 16166
E. Hüllermeier, J. Fürnkranz, W. Cheng, and K. Brinker, “Label ranking by learning pairwise preferences,” Artificial Intelligence, vol. 172, pp. 1897–1917, 2008.
LibreCat
 
[339]
2008 | Journal Article | LibreCat-ID: 16167
S. Vanderlooy and E. Hüllermeier, “A critical analysis of variants of the AUC,” Machine Learning, vol. 72, pp. 247–272, 2008.
LibreCat
 
[338]
2008 | Journal Article | LibreCat-ID: 16168
J. Fürnkranz, E. Hüllermeier, E. Mencia, and K. Brinker, “Multilabel classification via calibrated label ranking,” Machine Learning, vol. 73, no. 2, pp. 133–153, 2008.
LibreCat
 
[337]
2008 | Journal Article | LibreCat-ID: 16169
E. Hüllermeier and K. Brinker, “Learning valued preference structures for solving classification problems,” Fuzzy Sets and Systems, vol. 159, no. 18, pp. 2337–2352, 2008.
LibreCat
 
[336]
2008 | Journal Article | LibreCat-ID: 16184
J. Beringer and E. Hüllermeier, “Case-based learning in a bipolar possibilistic framework,” International Journal of Intelligent Systems, vol. 23, no. 10, pp. 1119–1134, 2008.
LibreCat
 
[335]
2008 | Book Chapter | LibreCat-ID: 16225
E. Hüllermeier, “Granular computing in machine learning and data mining,” in Handbook on Granular Computing, W. Pedrycz, A. Skowron, and V. Kreinovich, Eds. John Wiley and Sons, 2008, pp. 889–906.
LibreCat
 
[334]
2008 | Book Chapter | LibreCat-ID: 10154
E. Hüllermeier, “Fuzzy methods in data mining,” in Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
LibreCat
 
[333]
2008 | Book Chapter | LibreCat-ID: 10185
E. Hüllermeier and J. Fürnkranz, “Learning preference models from data: On the problem of label ranking and its variants,” in Preferences and Similarities, G. Della Riccia, D. Dubois, R. Kruse, and H. J. Lenz, Eds. Springer, 2008, pp. 283–304.
LibreCat
 
[332]
2008 | Conference Paper | LibreCat-ID: 13599
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 240–254.
LibreCat
 
[331]
2008 | Conference Paper | LibreCat-ID: 13600
W. Cheng and E. Hüllermeier, “Learning similarity functions from qualitative feedback,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 120–134.
LibreCat
 
[330]
2007 | Conference Paper | LibreCat-ID: 15782
W. Cheng, E. Hüllermeier, B. Seeger, and I. Vladimirskiy, “Interactive ranking of skylines using machine learning techniques,” in In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–148.
LibreCat
 
[329]
2007 | Conference Paper | LibreCat-ID: 15783
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, 2007, pp. 1–14.
LibreCat
 
[328]
2007 | Conference Paper | LibreCat-ID: 15784
I. Vladimirskiy, E. Hüllermeier, and E. Stauch, “Similarity search over uncertain archaeological data using a modified skyline operator,” in In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, pp. 31–40.
LibreCat
 
[327]
2007 | Conference Paper | LibreCat-ID: 14832
E. Hüllermeier and J. Fürnkranz, “On minimizing the position error in label ranking,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, 2007.
LibreCat
 
[326]
2007 | Conference Paper | LibreCat-ID: 14833
K. Brinker and E. Hüllermeier, “Label ranking in case-based reasoning,” in In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, vol. 4626, pp. 77–91.
LibreCat
 
[325]
2007 | Conference Paper | LibreCat-ID: 14834
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” in In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, 2007, pp. 34–48.
LibreCat
 
[324]
2007 | Conference Paper | LibreCat-ID: 14835
K. Brinker and E. Hüllermeier, “Case-based multilabel ranking,” in in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
LibreCat
 
[323]
2007 | Conference Paper | LibreCat-ID: 15197
E. Hüllermeier and K. Brinker, “Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling,” in in Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, vol. 1, pp. 353–360.
LibreCat
 
[322]
2007 | Conference Paper | LibreCat-ID: 15198
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, London 2007,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
LibreCat
 
[321]
2007 | Conference Paper | LibreCat-ID: 15199
E. Hüllermeier, N. Weskamp, G. Klebe, and D. Kuhn, “Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
LibreCat
 
[320]
2007 | Journal Article | LibreCat-ID: 16170
E. Hüllermeier and Y. Yi, “In defense of fuzzy association analysis,” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, vol. 37, no. 4, pp. 1039–1043, 2007.
LibreCat
 
[319]
2007 | Journal Article | LibreCat-ID: 16171
E. Hüllermeier, “Credible case-based inference using similarity profiles,” IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 5, pp. 847–858, 2007.
LibreCat
 
[318]
2007 | Journal Article | LibreCat-ID: 16172
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” Intelligent Data Analysis, vol. 11, no. 6, pp. 627–650, 2007.
LibreCat
 
[317]
2007 | Journal Article | LibreCat-ID: 16175
D. Dubois and E. Hüllermeier, “Comparing probability measures using possibility theory: A notion of relative peakedness,” International Journal of Approximate Reasoning, vol. 45, no. 2, pp. 364–385, 2007.
LibreCat
 
[316]
2007 | Journal Article | LibreCat-ID: 16179
N. Weskamp, E. Hüllermeier, D. Kuhn, and G. Klebe, “Multiple graph aligment for the structural analysis of protein active sites,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 4, no. 2, pp. 310–320, 2007.
LibreCat
 
[315]
2007 | Journal Article | LibreCat-ID: 16194
I. Karimi and E. Hüllermeier, “Risk assessment for natural hazards: A new approach based on fuzzy probability,” Fuzzy Sets and Systems, vol. 158, no. 9, pp. 987–999, 2007.
LibreCat
 
[314]
2007 | Book Chapter | LibreCat-ID: 16224
E. Hüllermeier, “Why fuzzy set theory is useful in data mining,” in Successes and New Directions in Data Mining, F. Masseglia, P. Poncelet, and M. Teisseire, Eds. Information Science Reference, Hershey, New York, 2007, pp. 1–16.
LibreCat
 
[313]
2007 | Book Chapter | LibreCat-ID: 16226
J. Beringer and E. Hüllermeier, “Fuzzy clustering of parallel data streams,” in Advances in Fuzzy Clustering and its Applications , J. Valente de Oliveira and W. Pedrycz, Eds. John Wiley and Sons, 2007, pp. 333–352.
LibreCat
 
[312]
2007 | Book Chapter | LibreCat-ID: 16227
E. Hüllermeier, “Fuzzy methods for data mining and machine learning: State of the art and prospects,” in Fuzzy Sets and their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
LibreCat
 
[311]
2007 | Book | LibreCat-ID: 16282
E. Hüllermeier, Case-based Approximate Reasoning, vol. 44. Springer, 2007.
LibreCat
 
[310]
2007 | Conference Paper | LibreCat-ID: 13601
J. N. Sulzmann, J. Fürnkranz, and E. Hüllermeier, “On pairwise Naive Bayes classifiers,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, 2007.
LibreCat
 
[309]
2006 | Conference Paper | LibreCat-ID: 15785
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 140–149.
LibreCat
 
[308]
2006 | Conference Paper | LibreCat-ID: 15786
E. Hüllermeier and K. Brinker, “Classification via fuzzy preference learning,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 190–199.
LibreCat
 
[307]
2006 | Conference Paper | LibreCat-ID: 15798
E. Hüllermeier, “Credible case-based inference using similarity profiles,” in In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, 2006, pp. 230–242.
LibreCat
 
[306]
2006 | Conference Paper | LibreCat-ID: 14836
K. Bade, E. Hüllermeier, and A. Nürnberger, “Hierarchical classification by expected utility maximization,” in In Proceedings ICDM-2006, IEEE International Conference on Data Mining, 2006, pp. 43–52.
LibreCat
 
[305]
2006 | Conference Paper | LibreCat-ID: 14837
K. Brinker and E. Hüllermeier, “Case-based label ranking,” in In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, 2006, pp. 566–573.
LibreCat
 
[304]
2006 | Conference Paper | LibreCat-ID: 14838
K. Brinker, J. Fuernkranz, and E. Hüllermeier, “A unified model for multilabel classification and ranking,” in In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy, 2006, pp. 489–493.
LibreCat
 
[303]
2006 | Conference Paper | LibreCat-ID: 15201
E. Hüllermeier, “Integrating instance-based learning and logistic regression,” in In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
LibreCat
 
[302]
2006 | Conference Paper | LibreCat-ID: 15213
E. Hüllermeier, “The Choquet integral as an aggregation operator in case-based learning,” in in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, 2006, pp. 615–628.
LibreCat
 
[301]
2006 | Journal Article | LibreCat-ID: 16173
D. Dubois, E. Hüllermeier, and H. Prade, “A systematic approach to the assessment of fuzzy association rules,” Data Mining and Knowledge Discovery, vol. 13, no. 2, pp. 167–192, 2006.
LibreCat
 
[300]
2006 | Journal Article | LibreCat-ID: 16176
D. Dubois, E. Hüllermeier, and H. Prade, “Fuzzy methods in case-based recommendation and decision support,” Journal of Intelligent Information Systems, vol. 27, pp. 95–115, 2006.
LibreCat
 
[299]
2006 | Journal Article | LibreCat-ID: 16177
E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” Intelligent Data Analysis, vol. 10, no. 5, pp. 419–440, 2006.
LibreCat
 
[298]
2006 | Journal Article | LibreCat-ID: 16180
P. Block, J. Paern, E. Hüllermeier, P. Sanschagrin, C. Sotriffer, and G. Klebe, “Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of  machine learning algorithms,” Proteins: Structure, Function and Bioinformatics, vol. 65, no. 3, pp. 607–622, 2006.
LibreCat
 
[297]
2006 | Journal Article | LibreCat-ID: 16182
D. Kuhn, N. Weskamp, S. Schmitt, E. Hüllermeier, and G. Klebe, “From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase,” Journal of Molecular Biology, vol. 359, no. 4, pp. 1023–1044, 2006.
LibreCat
 
[296]
2006 | Journal Article | LibreCat-ID: 16183
J. Beringer and E. Hüllermeier, “Online clustering of parallel data streams,” Data and Knowledge Engineering, vol. 58, no. 2, pp. 180–204, 2006.
LibreCat
 
[295]
2006 | Journal Article | LibreCat-ID: 16195
I. Karimi, E. Hüllermeier, and K. Meskouris, “A fuzzy-probablistic earthquake risk assessment system,” Soft Computing, vol. 11, no. 3, pp. 229–238, 2006.
LibreCat
 
[294]
2005 | Conference Paper | LibreCat-ID: 15799
K. Brinker and E. Hüllermeier, “Calibrated label-ranking,” in In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada, 2005, pp. 1–6.
LibreCat
 
[293]
2005 | Conference Paper | LibreCat-ID: 15800
E. Hüllermeier, J. Fürnkranz, and J. Beringer, “On position error and label ranking through iterated choice,” in In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 2005, pp. 158–163.
LibreCat
 
[292]
2005 | Conference Paper | LibreCat-ID: 14839
E. Hüllermeier and C. NN, “A method for combining interacting pieces of evidence in case-based learning,” in in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.
LibreCat
 
[291]
2005 | Conference Paper | LibreCat-ID: 14840
E. Hüllermeier and J. Fürnkranz, “Learning label preferences: Ranking error versus position error,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 180–191.
LibreCat
 
[290]
2005 | Conference Paper | LibreCat-ID: 14841
E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 168–179.
LibreCat
 
[289]
2005 | Conference Paper | LibreCat-ID: 15105
D. Dubois and E. Hüllermeier, “A notion of comarative probabilistic entroy based on the possibilistic specificity ordering,” in in Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.
LibreCat
 
[288]
2005 | Conference Paper | LibreCat-ID: 15214
I. Karimi and E. Hüllermeier, “A fuzzy-probablistic risk assessment system for natural disasters,” in in Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 2005, pp. 1147–1153.
LibreCat
 
[287]
2005 | Conference Paper | LibreCat-ID: 15215
E. Lughofer, E. Hüllermeier, and E. Klement, “Improving the interpretability of data-driven evolving fuzzy systems,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.
LibreCat
 
[286]
2005 | Conference Paper | LibreCat-ID: 15216
Y. Yi and E. Hüllermeier, “Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.
LibreCat
 
[285]
2005 | Journal Article | LibreCat-ID: 16174
E. Hüllermeier, “Fuzzy sets in machine learning and data mining: Status and prospects,” Fuzzy Sets and Systems, vol. 156, no. 3, pp. 387–406, 2005.
LibreCat
 
[284]
2005 | Journal Article | LibreCat-ID: 16178
E. Hüllermeier, “Experience-based decision making: A satisficing decision tree approach,” IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, vol. 35, no. 5, pp. 641–653, 2005.
LibreCat
 
[283]
2005 | Journal Article | LibreCat-ID: 16181
R. Balasubramaniyan, E. Hüllermeier, N. Weskamp, and J. Kämper, “Clustering of gene expression data using a local shape-based similarity measure,” Bioinformatics, vol. 21, no. 7, pp. 1069–1077, 2005.
LibreCat
 
[282]
2004 | Conference Paper | LibreCat-ID: 15801
D. Dubois, E. Hüllermeier, and H. Prade, “A systematic approach to the assessment of fuzzy association rules,” in In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK, 2004.
LibreCat
 
[281]
2004 | Conference Paper | LibreCat-ID: 15804
N. Weskamp, E. Hüllermeier, D. Kuhn, and G. Klebe, “Graph alignments: A new concept to detect conserved regions in protein active sites,” in In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany, 2004, pp. 131–140.
LibreCat
 
[280]
2004 | Conference Paper | LibreCat-ID: 14842
E. Hüllermeier, “Instance-based prediction with guaranteed confidence,” in In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain, 2004, pp. 97–101.
LibreCat
 
[279]
2004 | Conference Paper | LibreCat-ID: 15217
E. Hüllermeier and J. Fürnkranz, “Comparison of ranking procedures in pairwise preference learning,” in In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
LibreCat
 
[278]
2004 | Conference Paper | LibreCat-ID: 15218
E. Hüllermeier and J. Fürnkranz, “Ranking by pairwise comparison: A note on risk minimization,” in in Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 2004.
LibreCat
 
[277]
2004 | Conference Paper | LibreCat-ID: 15219
I. Karimi, E. Hüllermeier, and K. Meskouris, “An earthquake risk assessment method based on fuzzy probability,” in in Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien, 2004.
LibreCat
 
[276]
2004 | Conference Paper | LibreCat-ID: 15220
E. Hüllermeier and J. Beringer, “Learning decision rules from positive and negative preferences,” in In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
LibreCat
 
[275]
2004 | Journal Article | LibreCat-ID: 16185
E. Hüllermeier, I. Renners, and A. Grauel, “An evolutionary approach to constraints-regularized learning,” Mathware and Soft Computing, vol. 11, no. 2–3, pp. 109–124, 2004.
LibreCat
 
[274]
2004 | Journal Article | LibreCat-ID: 16186
N. Weskamp, D. Kuhn, E. Hüllermeier, and G. Klebe, “Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing,” Bioinformatics, vol. 20, no. 10, pp. 1522–1526, 2004.
LibreCat
 
[273]
2004 | Journal Article | LibreCat-ID: 16187
E. Hüllermeier, “Flexible constraints for regularization in learning from data,” International Journal of Intelligent Systems, vol. 19, no. 6, pp. 525–541, 2004.
LibreCat
 
[272]
2003 | Conference Paper | LibreCat-ID: 15802
N. Weskamp, D. Kuhn, E. Hüllermeier, and G. Klebe, “Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing,” in In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany, 2003.
LibreCat
 
[271]
2003 | Conference Paper | LibreCat-ID: 15803
E. Hüllermeier, “Instance-based learning of credible label sets,” in In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany, 2003.
LibreCat
 
[270]
2003 | Conference Paper | LibreCat-ID: 15065
E. Hüllermeier, “Regularized learning with flexible constraints,” in In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis, 2003, vol. 2810.
LibreCat
 
[269]
2003 | Conference Paper | LibreCat-ID: 15066
J. Fürnkranz and E. Hüllermeier, “Pairwise preference learning and ranking,” in In Proceedings ECML-2003, 13 th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, 2003.
LibreCat
 
[268]
2003 | Conference Paper | LibreCat-ID: 15221
E. Hüllermeier, “Instance-based collaborative filtering with fuzzy labels,” in in Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany, 2003, pp. 468–473.
LibreCat
 
[267]
2003 | Conference Paper | LibreCat-ID: 15222
D. Dubois, E. Hüllermeier, and H. Prade, “A note on quality measures for fuzzy association rules,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.
LibreCat
 
[266]
2003 | Conference Paper | LibreCat-ID: 15223
E. Hüllermeier, “Inducing fuzzy concepts through extended version space learning,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.
LibreCat
 
[265]
2003 | Journal Article | LibreCat-ID: 16188
E. Hüllermeier, “Possibilistic instance-based learning,” Artificial Intelligence, vol. 148, no. 1–2, pp. 335–383, 2003.
LibreCat
 
[264]
2003 | Journal Article | LibreCat-ID: 16189
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “Flexibility and case-based evaluation in querying: An Illustration in an experimental setting,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 11, no. 1, pp. 43–66, 2003.
LibreCat
 
[263]
2003 | Journal Article | LibreCat-ID: 16190
D. Dubois, E. Hüllermeier, and H. Prade, “On the representation of fuzzy rules in terms of crisp rules,” Information Sciences, vol. 151, pp. 301–326, 2003.
LibreCat
 
[262]
2003 | Book Chapter | LibreCat-ID: 16228
E. Hüllermeier, “Sequential decision making in heuristic search,” in Planning Based on Decision Theory (CISM Courses and Lectures No.472), G. Della Riccia, D. Dubois, R. Kruse, and H. J. Lenz, Eds. Springer, 2003.
LibreCat
 
[261]
2003 | Book Chapter | LibreCat-ID: 16229
D. Dubois, E. Hüllermeier, and H. Prade, “Possibilistic case-based decisions,” in Connectionist Approaches in Economics and Management  Sciences, vol. 6, C. Lesage and M. Cottrell, Eds. Kluwer, 2003.
LibreCat
 
[260]
2003 | Book Chapter | LibreCat-ID: 16230
E. Hüllermeier and J. Beringer, “Mining implication-based fuzzy association rules in databases,” in Intelligent Systems for information processing: From representation to applications, B. Bouchon-Meunier, L. Foulloy, and R. R. . Yager, Eds. Elsevier, 2003.
LibreCat
 
[259]
2002 | Conference Paper | LibreCat-ID: 14843
E. Hüllermeier, “On the representation and combination of evidence in instance-based learning,” in In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France, 2002, pp. 360–364.
LibreCat
 
[258]
2002 | Conference Paper | LibreCat-ID: 15064
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “A fuzzy set approach to flexible case-based querying: methodology and experimentation,” in in Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France, 2002, pp. 449–458.
LibreCat
 
[257]
2002 | Conference Paper | LibreCat-ID: 15098
E. Hüllermeier, “Association rules for expressing gradual dependencies,” in in Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland, 2002, pp. 200–211.
LibreCat
 
[256]
2002 | Conference Paper | LibreCat-ID: 15101
E. Hüllermeier, “Possibilistic induction in decision tree learning,” in in Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland, 2002, pp. 173–184.
LibreCat
 
[255]
2002 | Conference Paper | LibreCat-ID: 15226
E. Hüllermeier, “Mining implication-based fuzzy association rules in databases,” in In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France, 2002, pp. 101–108.
LibreCat
 
[254]
2002 | Conference Paper | LibreCat-ID: 15227
E. Hüllermeier, “Exploiting similarity and experience in decision making,” in in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 729–734.
LibreCat
 
[253]
2002 | Conference Paper | LibreCat-ID: 15228
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “Case-based quering and prediction: A fuzzy set approach,” in in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 735–740.
LibreCat
 
[252]
2002 | Journal Article | LibreCat-ID: 16191
E. Hüllermeier, D. Dubois, and H. Prade, “Model adaption in possibilistic instance-based reasoning,” IEEE Transactions on Fuzzy Systems, vol. 10, no. 3, pp. 333–339, 2002.
LibreCat
 
[251]
2002 | Journal Article | LibreCat-ID: 16192
D. Dubois, E. Hüllermeier, and H. Prade, “Fuzzy set-based methods in instance-based reasoning,” IEEE Transactions on Fuzzy Systems, vol. 10, no. 3, pp. 322–332, 2002.
LibreCat
 
[250]
2002 | Book Chapter | LibreCat-ID: 16232
E. Hüllermeier, D. Dubois, and H. Prade, “Knowledge-based extrapolation of cases: A possibilistic approach,” in Technologies for Constructing Intelligent Systems, B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, and R. R. Yager, Eds. Springer, 2002, pp. 377–390.
LibreCat
 
[249]
2001 | Conference Paper | LibreCat-ID: 15300
E. Hüllermeier, “Experience-based decision making and learning from examples,” in In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany, 2001.
LibreCat
 
[248]
2001 | Conference Paper | LibreCat-ID: 15805
E. Hüllermeier, “Possibilistic instance-based learning,” in In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 108–115.
LibreCat
 
[247]
2001 | Conference Paper | LibreCat-ID: 15806
E. Hüllermeier, “Implication-based fuzzy association rules,” in In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 93–99.
LibreCat
 
[246]
2001 | Conference Paper | LibreCat-ID: 15807
E. Hüllermeier, D. Dubois, and H. Prade, “Instance-based prediction in the framework of possibility theory,” in In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada, 2001.
LibreCat
 
[245]
2001 | Conference Paper | LibreCat-ID: 15106
E. Hüllermeier, “Implication-based fuzzy association rules,” in in Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany, 2001, vol. 2168, pp. 241–252.
LibreCat
 
[244]
2001 | Conference Paper | LibreCat-ID: 15229
E. Hüllermeier, “Fuzzy association rules: Semantic issues and quality measures,” in in Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany, 2001, vol. 2206, pp. 380–391.
LibreCat
 
[243]
2001 | Conference Paper | LibreCat-ID: 15230
D. Dubois, E. Hüllermeier, and H. Prade, “Toward the representation of implication-based fuzzy rules in terms of crisp rules,” in in Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada, 2001, pp. 1592–1597.
LibreCat
 
[242]
2001 | Journal Article | LibreCat-ID: 16193
E. Hüllermeier, “Similarity-based inference as evidential reasoning,” International Journal of Approximate Reasoning, vol. 26, pp. 67–100, 2001.
LibreCat
 
[241]
2001 | Book Chapter | LibreCat-ID: 16231
E. Hüllermeier, “Machinelles Lernen und Komplexität,” in Ökonomie und Gesellschaft, Jahrbuch 17: Komplexität und Lernen, F. Haslinger and P. Weise, Eds. Metropolis, 2001, pp. 255–288.
LibreCat
 
[240]
2001 | Book Chapter | LibreCat-ID: 16233
M. Kraft, E. Hüllermeier, and P. Weise, “Empirische  Überprüfung eines synergetischen Konjunkturmodells,” in Studien zur Evoltorischen Ökonomik IV, H.-W. Lorenz and B. Meyer, Eds. Duncker & Humblot, Berlin, 2001, pp. 11–44.
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[439]
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.
LibreCat
 
[438]
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.
LibreCat
 
[437]
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.
LibreCat
 
[436]
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.
LibreCat
 
[435]
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.
LibreCat
 
[434]
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.
LibreCat
 
[433]
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.
LibreCat
 
[432]
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.
LibreCat
 
[431]
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.
LibreCat
 
[430]
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
 
[429]
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.
LibreCat
 
[428]
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.
LibreCat
 
[427]
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
 
[426]
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
 
[425]
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
 
[424]
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
 
[423]
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
 
[422]
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
 
[421]
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.
LibreCat
 
[420]
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
 
[419]
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
 
[418]
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
 
[417]
2012 | Conference Paper | LibreCat-ID: 15299
M. Leinweber et al., “GPU-based cloud computing for comparing the structure of protein binding sites,” in in Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione d`Italia, Italy, 2012.
LibreCat
 
[416]
2012 | Book Chapter | LibreCat-ID: 15396
E. Hüllermeier and A. Fallah Tehrani, “Efficient learning of classifiers based on the 2-additive Choquet integral,” in Computational Intelligence in Intelligent Data Analysis, C. Moewes and A. Nürnberger, Eds. Springer, 2012, pp. 17–30.
LibreCat
 
[415]
2012 | Conference Paper | LibreCat-ID: 15754
M. Bräuning and E. Hüllermeier, “Learning conditional lexicographic preference trees,” in In Workshops on Preference Learning at ECAI, European Conference on Artiticial intelligence, Montpellier, France, 2012.
LibreCat
 
[414]
2012 | Conference Paper | LibreCat-ID: 15114
E. Hüllermeier and A. Fallah Tehrani, “On the VC dimension of the Choquet integral,” in In Proceedings IPMU-2012 14th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy, 2012.
LibreCat
 
[413]
2012 | Journal Article | LibreCat-ID: 16084
A. Fallah Tehrani, W. Cheng, K. Dembczynski, and E. Hüllermeier, “Learning  monotone nonlinear models using the Choquet integral,” Machine Learning, vol. 89, no. 1, pp. 183–211, 2012.
LibreCat
 
[412]
2012 | Journal Article | LibreCat-ID: 16085
H. Bustince, M. Pagola, R. Mesiar, E. Hüllermeier, and F. Herrera, “Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 3, pp. 405–415, 2012.
LibreCat
 
[411]
2012 | Journal Article | LibreCat-ID: 16087
J. Fürnkranz, E. Hüllermeier, W. Cheng, and S. H. Park, “Preference-based reinforcement learning: A formal framework and a policy iteration algorithm,” Machine Learning, vol. 89, no. 1, pp. 123–156, 2012.
LibreCat
 
[410]
2012 | Journal Article | LibreCat-ID: 16088
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “On label dependence and loss  minimization in multi-label classification,” Machine Learning, vol. 88, no. 1–2, pp. 5–45, 2012.
LibreCat
 
[409]
2012 | Journal Article | LibreCat-ID: 16089
A. Shaker and E. Hüllermeier, “IBL Streams: A system for instance-based classification and regression on data streams,” Evolving Systems, vol. 3, no. 4, pp. 235–249, 2012.
LibreCat
 
[408]
2012 | Journal Article | LibreCat-ID: 16090
M. Dolorez Ruiz and E. Hüllermeier, “A formal and empirical analysis of the fuzzy gamma rank correlation coefficient,” Information Sciences, vol. 206, pp. 1–17, 2012.
LibreCat
 
[407]
2012 | Journal Article | LibreCat-ID: 16091
A. Fallah Tehrani, W. Cheng, and E. Hüllermeier, “Preference learning using the Choquet integral: The case of multipartite ranking,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 6, pp. 1102–1113, 2012.
LibreCat
 
[406]
2012 | Journal Article | LibreCat-ID: 16092
T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Fingerprint kernels for protein structure comparison,” Molecular Informatics, vol. 31, no. 6–7, pp. 443–452, 2012.
LibreCat
 
[405]
2012 | Journal Article | LibreCat-ID: 16093
E. Hüllermeier, M. Rifqi, S. Henzgen, and R. Senge, “Comparing fuzzy partitions: A generalization of the Rand index and related measures,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 3, pp. 546–556, 2012.
LibreCat
 
[404]
2012 | Journal Article | LibreCat-ID: 16094
R. Senge, T. Fober, N. Nasiri, and E. Hüllermeier, “Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung,” At-Atomatisierungstechnik, vol. 60, no. 10, pp. 622–629, 2012.
LibreCat
 
[403]
2012 | Conference Paper | LibreCat-ID: 13120
W. Cheng, E. Hüllermeier, W. Waegeman, and V. Welker, “Label ranking with partial abstention based on thresholded probalistic models,” in In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA, 2012.
LibreCat
 
[402]
2012 | Conference Paper | LibreCat-ID: 13191
W. Cheng and E. Hüllermeier, “Probability estimation for mulit-class classification based on label ranking,” in Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, 2012.
LibreCat
 
[401]
2012 | Conference Paper | LibreCat-ID: 13192
K. Dembczynski, W. Kotlowski, and E. Hüllermeier, “Consistent multilabel ranking through univariate loss minimization,” in in Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland, 2012.
LibreCat
 
[400]
2012 | Conference Paper | LibreCat-ID: 13193
K. Dembczynski, W. Waegeman, and E. Hüllermeier, “An analysis of chaining in multi-label classification,” in In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France , 2012, pp. 294–299.
LibreCat
 
[399]
2012 | Book Chapter | LibreCat-ID: 10153
E. Hüllermeier, “Fuzzy rules in data mining: From fuzzy associations to gradual dependencies,” in Combining Experimentation and Theory, vol. 271, E. Trillas, P. P. Bonissone, L. Magdalena, and J. Kacprzyk, Eds. Springer, 2012, pp. 123–135.
LibreCat
 
[398]
2011 | Conference Paper | LibreCat-ID: 15762
K. Dembczynski, W. Waegeman, and E. Hüllermeier, “Joint mode estimation in multi-label classification by chaining,” in In Proceedings ECML Workshop on Collective inference and Learning on Structured Data, Athens, Greece, 2011.
LibreCat
 
[397]
2011 | Conference Paper | LibreCat-ID: 15764
M. Mernberger, D. Moog, S. Stork, S. Zauner, U. Maier, and E. Hüllermeier, “Prediction of protein localization for specialized compartments using time series kernels,” in In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany, 2011.
LibreCat
 
[396]
2011 | Conference Paper | LibreCat-ID: 15115
M. Nasiri, E. Hüllermeier, R. Senge, and E. Lughofer, “Comparing methods for knowledge-driven and data-driven fuzzy modeling: A case study in textile industry,” in in Proceedings IFSA-2011 World Congress of the International Fuzzy Systems Association, Surabaya and Bali Island, Indonesia, 2011, p. RW-103-1-6.
LibreCat
 
[395]
2011 | Conference Paper | LibreCat-ID: 15116
E. Lughofer and E. Hüllermeier, “On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure,” in in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France, 2011, pp. 380–387.
LibreCat
 
[394]
2011 | Conference Paper | LibreCat-ID: 15117
A. Fallah Tehrani, W. Cheng, and E. Hüllermeier, “Choquistic regression: Generalizing logistic regression using the Choquet integral,” in in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France, 2011, pp. 868–875.
LibreCat
 
[393]
2011 | Journal Article | LibreCat-ID: 16119
O. Hirsch, S. Bösner, E. Hüllermeier, R. Senge, K. Dembczynski, and N. Donner-Banzhoff, “Multivariate modeling to identify patterns in clinical data: The example of chest pain,” BMC Medical Research Methodology, vol. 11, no. 155, 2011.
LibreCat
 
[392]
2011 | Journal Article | LibreCat-ID: 16126
C. Domshlak, E. Hüllermeier, S. Kaci, and H. Prade, “Preferences in AL: An overview,” Artificial Intelligence, vol. 175, no. 7–8, pp. 1037–1052, 2011.
LibreCat
 
[391]
2011 | Journal Article | LibreCat-ID: 16147
E. Hüllermeier, “Fuzzy machine learning and data mining,” WIREs Data Mining and Knowledge Discovery, vol. 1, no. 4, pp. 269–283, 2011.
LibreCat
 
[390]
2011 | Journal Article | LibreCat-ID: 16148
M. Mernberger, G. Klebe, and E. Hüllermeier, “SEGA: Semi-global graph alignment for structure-based protein comparison,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 8, no. 5, pp. 1330–1343, 2011.
LibreCat
 
[389]
2011 | Journal Article | LibreCat-ID: 16149
T. Fober, S. Glinca, G. Klebe, and E. Hüllermeier, “Superposition and alignment of labeled point clouds,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 6, pp. 1653–1666, 2011.
LibreCat
 
[388]
2011 | Journal Article | LibreCat-ID: 16150
E. Hüllermeier, “Fuzzy sets in machine learning and data mining,” Applied Soft Computing Journal, pp. 1493–1505, 2011.
LibreCat
 
[387]
2011 | Journal Article | LibreCat-ID: 16153
R. Senge and E. Hüllermeier, “Top-down induction of fuzzy pattern trees,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 2, pp. 241–252, 2011.
LibreCat
 
[386]
2011 | Conference Paper | LibreCat-ID: 13194
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “An exact algorithm for F-measure maximization,” in In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain, 2011.
LibreCat
 
[385]
2011 | Conference Paper | LibreCat-ID: 13195
W. Cheng, J. Fuernkranz, E. Hüllermeier, and S. H. Park, “Preference-based policy iteration: Leveraging preference learning for reinforcement learning,” in Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, , 2011.
LibreCat
 
[384]
2011 | Conference Paper | LibreCat-ID: 13196
J. Fürnkranz and E. Hüllermeier, “Learning from label preferences,” in in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI, 2011, pp. 2–17.
LibreCat
 
[383]
2011 | Conference Paper | LibreCat-ID: 13197
A. Fallah Tehrani, W. Cheng, K. Dembczynski, and E. Hüllermeier, “Learning  monotone nonlinear models using the Choquet integral,” in In Proceedings ECML/PKDD-2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Athens, Greece, 2011.
LibreCat
 
[382]
2011 | Conference Paper | LibreCat-ID: 13198
E. Hüllermeier and P. Schlegel, “Preference-based CBR: First steps toward a methodological framework,” in In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI, 2011, pp. 77–91.
LibreCat
 
[381]
2011 | Conference Paper | LibreCat-ID: 13588
W. Kotlowski, K. Dembczynski, and E. Hüllermeier, “Bipartite ranking through minimization of univariate loss,” in in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA, 2011.
LibreCat
 
[380]
2010 | Book Chapter | LibreCat-ID: 15297
E. Hüllermeier and J. Hühn, “An Analysis of the FURIA algorithm for fuzzy rule induction,” in Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski, vol. 262, J. Koronacki, Z. W. Ras, S. T. Wierzchon, and J. Kacprzyk, Eds. Springer, 2010, pp. 321–344.
LibreCat
 
[379]
2010 | Book Chapter | LibreCat-ID: 15298
J. Fürnkranz and E. Hüllermeier, “Preference Learning: An Introduction,” in Preference Learning, J. Fürnkranz and E. Hüllermeier, Eds. Springer, 2010, pp. 1–18.
LibreCat
 
[378]
2010 | Conference Paper | LibreCat-ID: 15765
T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Efficient similarity retrieval for protein binding sites based on histogram comparison,” in In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany, 2010, pp. 51–60.
LibreCat
 
[377]
2010 | Conference Paper | LibreCat-ID: 15772
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “On label dependence in multi-label classification,” in In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel, 2010.
LibreCat
 
[376]
2010 | Conference Paper | LibreCat-ID: 15118
T. Fober and E. Hüllermeier, “Similarity measures for protein structures based on fuzzy histogram comparison,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
 
[375]
2010 | Conference Paper | LibreCat-ID: 15119
R. Senge and E. Hüllermeier, “Pattern trees for regression and fuzzy systems modeling,” in in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain, 2010.
LibreCat
 
[374]
2010 | Journal Article | LibreCat-ID: 16121
P. Pfeffer, T. Fober, E. Hüllermeier, and G. Klebe, “GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm,” Journal of Chemical Information and Modeling, vol. 50, no. 9, pp. 1644–1659, 2010.
LibreCat
 
[373]
2010 | Journal Article | LibreCat-ID: 16151
E. Hüllermeier and S. Vanderlooy, “Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting,” Pattern Recognition, vol. 43, no. 1, pp. 128–142, 2010.
LibreCat
 
[372]
2010 | Journal Article | LibreCat-ID: 16152
E. Hüllermeier and J. Fürnkranz, “On predictive accuracy and risk minimization in pairwise label ranking,” Journal of Computer and System Sciences, vol. 76, no. 1, pp. 49–62, 2010.
LibreCat
 
[371]
2010 | Conference Paper | LibreCat-ID: 13589
K. Dembczynski, W. Cheng, and E. Hüllermeier, “Bayes optimal multilabel classification via probalistic classifier chains,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 279–286.
LibreCat
 
[370]
2010 | Conference Paper | LibreCat-ID: 13590
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Label ranking based on the Plackett-Luce model,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010, pp. 215–222.
LibreCat
 
[369]
2010 | Conference Paper | LibreCat-ID: 13591
W. Cheng, K. Dembczynski, and E. Hüllermeier, “Graded multi-label classification: The ordinal case,” in in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.
LibreCat
 
[368]
2010 | Conference Paper | LibreCat-ID: 13593
K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, “Regret analysis for performance metrics in multi-label classification: The case of Hamming and subset zero-one loss,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[367]
2010 | Conference Paper | LibreCat-ID: 13594
W. Cheng, M. Rademaker, B. De Beats, and E. Hüllermeier, “Predicting partial orders: Ranking with abstention,” in In Proceedings ECML/PKDD-2010, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ,Bareclona, Spain, 2010.
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[366]
2010 | Conference Paper | LibreCat-ID: 13597
E. Hüllermeier, “Uncertainty in clustering and classification ,” in in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management , 2010, vol. 6379, no. LNCS, pp. 16–19.
LibreCat
 
[365]
2009 | Conference Paper | LibreCat-ID: 15773
W. Cheng and E. Hüllermeier, “A simple instance-based approach to multilabel classification using the Mallows model,” in In Proceedings MLD-2009 1st  International Workshop on Learning from Multi-Label Data, Bled, Slovenia, 2009, pp. 28–38.
LibreCat
 
[364]
2009 | Conference Paper | LibreCat-ID: 15774
R. Senge and E. Hüllermeier, “Learning pattern tree classifiers using a co-evolutionary algorithm,” in in Proceedings 19th Workshop Computational Intelligence, Dortmund Germany, 2009, pp. 22–33.
LibreCat
 
[363]
2009 | Conference Paper | LibreCat-ID: 15775
T. Fober, M. Mernberger, R. Moritz, and E. Hüllermeier, “Graph-kernels for the comparative analysis of protein active sites,” in In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany, 2009, pp. 21–31.
LibreCat
 
[362]
2009 | Conference Paper | LibreCat-ID: 15776
R. Senge and E. Hüllermeier, “Learning pattern tree classifiers using a co-evolutionary algorithm,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 105–110.
LibreCat
 
[361]
2009 | Conference Paper | LibreCat-ID: 15778
T. Fober, M. Mernberger, V. Melnikov, R. Moritz, and E. Hüllermeier, “Extension and empirical comparison of graph-kernels for the analysis of protein active sites,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany, 2009, pp. 30–36.
LibreCat
 
[360]
2009 | Conference Paper | LibreCat-ID: 15120
T. Fober, G. Klebe, and E. Hüllermeier, “Efficient construction of multiple geometrical alignments for the comparison of protein binding sites,” in in Proceedings ISDA-2009, 9th international Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 1251–1256.
LibreCat
 
[359]
2009 | Conference Paper | LibreCat-ID: 15194
I. Boukhris, Z. Elouedi, T. Fober, M. Mernberger, and E. Hüllermeier, “Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection,” in In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy, 2009, pp. 1245–1250.
LibreCat
 
[358]
2009 | Conference Paper | LibreCat-ID: 15195
T. Fober and E. Hüllermeier, “Fuzzy modeling of labeled point cloud superposition  for the comparison of protein binding sites,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1299–1304.
LibreCat
 
[357]
2009 | Conference Paper | LibreCat-ID: 15196
E. Hüllermeier and M. Rifqi, “A fuzzy variant of the Rand index for comparing clustering structures,” in in Proceedings IFSA / EUSFLAT-2009 World Congress of  the Fuzzy Systems Association, Lissabon, Portugal, 2009, pp. 1294–1298.
LibreCat
 
[356]
2009 | Journal Article | LibreCat-ID: 16154
N. Weskamp, E. Hüllermeier, and G. Klebe, “Merging chemical and biological space: Structural mapping of enzyme binding pocket space,” Proteins, vol. 76, no. 2, pp. 317–330, 2009.
LibreCat
 
[355]
2009 | Journal Article | LibreCat-ID: 16158
J. Hühn and E. Hüllermeier, “FURIA: An Algorithm for unordered fuzzy rule induction,” Data Mining and Knowledge Discovery , vol. 19, pp. 293–319, 2009.
LibreCat
 
[354]
2009 | Journal Article | LibreCat-ID: 16159
E. Hüllermeier and S. Vanderlooy, “Why fuzzy decision trees are good rankers,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 6, pp. 1233–1244, 2009.
LibreCat
 
[353]
2009 | Journal Article | LibreCat-ID: 16160
W. Cheng and E. Hüllermeier, “Combining instance-based learning and logistic regression for multilabel classification,” Machine Learning, vol. 76, no. 2–3, pp. 211–225, 2009.
LibreCat
 
[352]
2009 | Journal Article | LibreCat-ID: 16161
Y. Yi, T. Fober, and E. Hüllermeier, “Fuzzy operator trees for modeling rating functions,” International Journal of Computational Intelligence and Applications, vol. 8, no. 4, pp. 413–428, 2009.
LibreCat
 
[351]
2009 | Journal Article | LibreCat-ID: 16162
T. Fober, M. Mernberger, G. Klebe, and E. Hüllermeier, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” Bioinformatics, vol. 25, no. 16, pp. 2110–2117, 2009.
LibreCat
 
[350]
2009 | Journal Article | LibreCat-ID: 16163
J. Hühn and E. Hüllermeier, “FR3: A fuzzy rule learner for inducing reliable classifiers,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, pp. 138–149, 2009.
LibreCat
 
[349]
2009 | Journal Article | LibreCat-ID: 16165
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” Künstliche Intelligenz, vol. 1, no. 09, pp. 24–29, 2009.
LibreCat
 
[348]
2009 | Book Chapter | LibreCat-ID: 10188
E. Hüllermeier, “On the usefulness of fuzzy sets in data mining,” in Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications, R. Seising, Ed. Springer, 2009, pp. 457–470.
LibreCat
 
[347]
2009 | Conference Paper | LibreCat-ID: 13595
W. Cheng, J. Hühn, and E. Hüllermeier, “Decision tree and instance-based learning for label ranking,” in in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 161–168.
LibreCat
 
[346]
2009 | Conference Paper | LibreCat-ID: 13596
J. Fürnkranz, E. Hüllermeier, and S. Vanderlooy, “Binary decomposition methods for multipartite ranking,” in In Proceedings ECML/PKDD-2009, European Conference on Machine Learning and Principles and Knowledge Discovery in Databases, Bled Sloveniaery in Databases, Bled, Slovenia, 2009.
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[345]
2009 | Conference Paper | LibreCat-ID: 13598
W. Cheng and E. Hüllermeier, “A new instance-based label ranking approach using the Mallows model. In Advances in Neural Networks,” in in Proceedings 6th International Symposium on Neural Networks, Wuhan, China, 2009, no. LNCS 5551, pp. 707–716.
LibreCat
 
[344]
2008 | Conference Paper | LibreCat-ID: 15779
E. Hüllermeier and S. Vanderlooy, “Weighted voting as approximate MAP prediction in pairwise classification,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.
LibreCat
 
[343]
2008 | Conference Paper | LibreCat-ID: 15780
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for mining structured biomolecular data ,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.
LibreCat
 
[342]
2008 | Conference Paper | LibreCat-ID: 15781
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.
LibreCat
 
[341]
2008 | Journal Article | LibreCat-ID: 16164
J. Hühn and E. Hüllermeier, “Is an ordinal class structure useful in classifier learning?,” International Journal of Data Mining, Modeling and Management , vol. 1, no. 1, pp. 45–67, 2008.
LibreCat
 
[340]
2008 | Journal Article | LibreCat-ID: 16166
E. Hüllermeier, J. Fürnkranz, W. Cheng, and K. Brinker, “Label ranking by learning pairwise preferences,” Artificial Intelligence, vol. 172, pp. 1897–1917, 2008.
LibreCat
 
[339]
2008 | Journal Article | LibreCat-ID: 16167
S. Vanderlooy and E. Hüllermeier, “A critical analysis of variants of the AUC,” Machine Learning, vol. 72, pp. 247–272, 2008.
LibreCat
 
[338]
2008 | Journal Article | LibreCat-ID: 16168
J. Fürnkranz, E. Hüllermeier, E. Mencia, and K. Brinker, “Multilabel classification via calibrated label ranking,” Machine Learning, vol. 73, no. 2, pp. 133–153, 2008.
LibreCat
 
[337]
2008 | Journal Article | LibreCat-ID: 16169
E. Hüllermeier and K. Brinker, “Learning valued preference structures for solving classification problems,” Fuzzy Sets and Systems, vol. 159, no. 18, pp. 2337–2352, 2008.
LibreCat
 
[336]
2008 | Journal Article | LibreCat-ID: 16184
J. Beringer and E. Hüllermeier, “Case-based learning in a bipolar possibilistic framework,” International Journal of Intelligent Systems, vol. 23, no. 10, pp. 1119–1134, 2008.
LibreCat
 
[335]
2008 | Book Chapter | LibreCat-ID: 16225
E. Hüllermeier, “Granular computing in machine learning and data mining,” in Handbook on Granular Computing, W. Pedrycz, A. Skowron, and V. Kreinovich, Eds. John Wiley and Sons, 2008, pp. 889–906.
LibreCat
 
[334]
2008 | Book Chapter | LibreCat-ID: 10154
E. Hüllermeier, “Fuzzy methods in data mining,” in Encyclopedia of Data Warehousing and Mining - Second Edition, Idea Group, Inc.,Hershey, USA, 2008, pp. 907–912.
LibreCat
 
[333]
2008 | Book Chapter | LibreCat-ID: 10185
E. Hüllermeier and J. Fürnkranz, “Learning preference models from data: On the problem of label ranking and its variants,” in Preferences and Similarities, G. Della Riccia, D. Dubois, R. Kruse, and H. J. Lenz, Eds. Springer, 2008, pp. 283–304.
LibreCat
 
[332]
2008 | Conference Paper | LibreCat-ID: 13599
E. Hüllermeier, I. Vladimirskiy, B. Prados Suarez, and E. Stauch, “Supporting case-based retrieval by similarity skylines: Basic concepts and extensions,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 240–254.
LibreCat
 
[331]
2008 | Conference Paper | LibreCat-ID: 13600
W. Cheng and E. Hüllermeier, “Learning similarity functions from qualitative feedback,” in in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany, 2008, no. LNAI 5239, pp. 120–134.
LibreCat
 
[330]
2007 | Conference Paper | LibreCat-ID: 15782
W. Cheng, E. Hüllermeier, B. Seeger, and I. Vladimirskiy, “Interactive ranking of skylines using machine learning techniques,” in In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany, 2007, pp. 141–148.
LibreCat
 
[329]
2007 | Conference Paper | LibreCat-ID: 15783
T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany, 2007, pp. 1–14.
LibreCat
 
[328]
2007 | Conference Paper | LibreCat-ID: 15784
I. Vladimirskiy, E. Hüllermeier, and E. Stauch, “Similarity search over uncertain archaeological data using a modified skyline operator,” in In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, pp. 31–40.
LibreCat
 
[327]
2007 | Conference Paper | LibreCat-ID: 14832
E. Hüllermeier and J. Fürnkranz, “On minimizing the position error in label ranking,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007, 2007.
LibreCat
 
[326]
2007 | Conference Paper | LibreCat-ID: 14833
K. Brinker and E. Hüllermeier, “Label ranking in case-based reasoning,” in In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland, 2007, vol. 4626, pp. 77–91.
LibreCat
 
[325]
2007 | Conference Paper | LibreCat-ID: 14834
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” in In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig, 2007, pp. 34–48.
LibreCat
 
[324]
2007 | Conference Paper | LibreCat-ID: 14835
K. Brinker and E. Hüllermeier, “Case-based multilabel ranking,” in in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007, 2007, pp. 701–707.
LibreCat
 
[323]
2007 | Conference Paper | LibreCat-ID: 15197
E. Hüllermeier and K. Brinker, “Fuzzy-relational classificaton : Combining pairwise decomposition techniques with fuzzy preference modeling,” in in Proceedings EUSFLAT-2007 5th International Conference on the European Society for Fuzzy Logic and Technology, Ostrava, Czech Republic, 2007, vol. 1, pp. 353–360.
LibreCat
 
[322]
2007 | Conference Paper | LibreCat-ID: 15198
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, London 2007,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, 2007.
LibreCat
 
[321]
2007 | Conference Paper | LibreCat-ID: 15199
E. Hüllermeier, N. Weskamp, G. Klebe, and D. Kuhn, “Graph alignment: Fuzzy pattern mining for the structural analysis of protein active sites,” in in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems, London, 2007.
LibreCat
 
[320]
2007 | Journal Article | LibreCat-ID: 16170
E. Hüllermeier and Y. Yi, “In defense of fuzzy association analysis,” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, vol. 37, no. 4, pp. 1039–1043, 2007.
LibreCat
 
[319]
2007 | Journal Article | LibreCat-ID: 16171
E. Hüllermeier, “Credible case-based inference using similarity profiles,” IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 5, pp. 847–858, 2007.
LibreCat
 
[318]
2007 | Journal Article | LibreCat-ID: 16172
J. Beringer and E. Hüllermeier, “Efficient instance-based learning on data streams,” Intelligent Data Analysis, vol. 11, no. 6, pp. 627–650, 2007.
LibreCat
 
[317]
2007 | Journal Article | LibreCat-ID: 16175
D. Dubois and E. Hüllermeier, “Comparing probability measures using possibility theory: A notion of relative peakedness,” International Journal of Approximate Reasoning, vol. 45, no. 2, pp. 364–385, 2007.
LibreCat
 
[316]
2007 | Journal Article | LibreCat-ID: 16179
N. Weskamp, E. Hüllermeier, D. Kuhn, and G. Klebe, “Multiple graph aligment for the structural analysis of protein active sites,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 4, no. 2, pp. 310–320, 2007.
LibreCat
 
[315]
2007 | Journal Article | LibreCat-ID: 16194
I. Karimi and E. Hüllermeier, “Risk assessment for natural hazards: A new approach based on fuzzy probability,” Fuzzy Sets and Systems, vol. 158, no. 9, pp. 987–999, 2007.
LibreCat
 
[314]
2007 | Book Chapter | LibreCat-ID: 16224
E. Hüllermeier, “Why fuzzy set theory is useful in data mining,” in Successes and New Directions in Data Mining, F. Masseglia, P. Poncelet, and M. Teisseire, Eds. Information Science Reference, Hershey, New York, 2007, pp. 1–16.
LibreCat
 
[313]
2007 | Book Chapter | LibreCat-ID: 16226
J. Beringer and E. Hüllermeier, “Fuzzy clustering of parallel data streams,” in Advances in Fuzzy Clustering and its Applications , J. Valente de Oliveira and W. Pedrycz, Eds. John Wiley and Sons, 2007, pp. 333–352.
LibreCat
 
[312]
2007 | Book Chapter | LibreCat-ID: 16227
E. Hüllermeier, “Fuzzy methods for data mining and machine learning: State of the art and prospects,” in Fuzzy Sets and their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
LibreCat
 
[311]
2007 | Book | LibreCat-ID: 16282
E. Hüllermeier, Case-based Approximate Reasoning, vol. 44. Springer, 2007.
LibreCat
 
[310]
2007 | Conference Paper | LibreCat-ID: 13601
J. N. Sulzmann, J. Fürnkranz, and E. Hüllermeier, “On pairwise Naive Bayes classifiers,” in In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, 2007.
LibreCat
 
[309]
2006 | Conference Paper | LibreCat-ID: 15785
J. Beringer and E. Hüllermeier, “Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 140–149.
LibreCat
 
[308]
2006 | Conference Paper | LibreCat-ID: 15786
E. Hüllermeier and K. Brinker, “Classification via fuzzy preference learning,” in in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany, 2006, pp. 190–199.
LibreCat
 
[307]
2006 | Conference Paper | LibreCat-ID: 15798
E. Hüllermeier, “Credible case-based inference using similarity profiles,” in In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey, 2006, pp. 230–242.
LibreCat
 
[306]
2006 | Conference Paper | LibreCat-ID: 14836
K. Bade, E. Hüllermeier, and A. Nürnberger, “Hierarchical classification by expected utility maximization,” in In Proceedings ICDM-2006, IEEE International Conference on Data Mining, 2006, pp. 43–52.
LibreCat
 
[305]
2006 | Conference Paper | LibreCat-ID: 14837
K. Brinker and E. Hüllermeier, “Case-based label ranking,” in In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006, 2006, pp. 566–573.
LibreCat
 
[304]
2006 | Conference Paper | LibreCat-ID: 14838
K. Brinker, J. Fuernkranz, and E. Hüllermeier, “A unified model for multilabel classification and ranking,” in In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy, 2006, pp. 489–493.
LibreCat
 
[303]
2006 | Conference Paper | LibreCat-ID: 15201
E. Hüllermeier, “Integrating instance-based learning and logistic regression,” in In Proceedings IPMU-2006 11th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Paris, France, 2006.
LibreCat
 
[302]
2006 | Conference Paper | LibreCat-ID: 15213
E. Hüllermeier, “The Choquet integral as an aggregation operator in case-based learning,” in in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund, 2006, pp. 615–628.
LibreCat
 
[301]
2006 | Journal Article | LibreCat-ID: 16173
D. Dubois, E. Hüllermeier, and H. Prade, “A systematic approach to the assessment of fuzzy association rules,” Data Mining and Knowledge Discovery, vol. 13, no. 2, pp. 167–192, 2006.
LibreCat
 
[300]
2006 | Journal Article | LibreCat-ID: 16176
D. Dubois, E. Hüllermeier, and H. Prade, “Fuzzy methods in case-based recommendation and decision support,” Journal of Intelligent Information Systems, vol. 27, pp. 95–115, 2006.
LibreCat
 
[299]
2006 | Journal Article | LibreCat-ID: 16177
E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” Intelligent Data Analysis, vol. 10, no. 5, pp. 419–440, 2006.
LibreCat
 
[298]
2006 | Journal Article | LibreCat-ID: 16180
P. Block, J. Paern, E. Hüllermeier, P. Sanschagrin, C. Sotriffer, and G. Klebe, “Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of  machine learning algorithms,” Proteins: Structure, Function and Bioinformatics, vol. 65, no. 3, pp. 607–622, 2006.
LibreCat
 
[297]
2006 | Journal Article | LibreCat-ID: 16182
D. Kuhn, N. Weskamp, S. Schmitt, E. Hüllermeier, and G. Klebe, “From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase,” Journal of Molecular Biology, vol. 359, no. 4, pp. 1023–1044, 2006.
LibreCat
 
[296]
2006 | Journal Article | LibreCat-ID: 16183
J. Beringer and E. Hüllermeier, “Online clustering of parallel data streams,” Data and Knowledge Engineering, vol. 58, no. 2, pp. 180–204, 2006.
LibreCat
 
[295]
2006 | Journal Article | LibreCat-ID: 16195
I. Karimi, E. Hüllermeier, and K. Meskouris, “A fuzzy-probablistic earthquake risk assessment system,” Soft Computing, vol. 11, no. 3, pp. 229–238, 2006.
LibreCat
 
[294]
2005 | Conference Paper | LibreCat-ID: 15799
K. Brinker and E. Hüllermeier, “Calibrated label-ranking,” in In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada, 2005, pp. 1–6.
LibreCat
 
[293]
2005 | Conference Paper | LibreCat-ID: 15800
E. Hüllermeier, J. Fürnkranz, and J. Beringer, “On position error and label ranking through iterated choice,” in In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany , 2005, pp. 158–163.
LibreCat
 
[292]
2005 | Conference Paper | LibreCat-ID: 14839
E. Hüllermeier and C. NN, “A method for combining interacting pieces of evidence in case-based learning,” in in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland, 2005, pp. 3–8.
LibreCat
 
[291]
2005 | Conference Paper | LibreCat-ID: 14840
E. Hüllermeier and J. Fürnkranz, “Learning label preferences: Ranking error versus position error,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 180–191.
LibreCat
 
[290]
2005 | Conference Paper | LibreCat-ID: 14841
E. Hüllermeier and J. Beringer, “Learning from ambiguously labeled examples,” in In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid, 2005, vol. 3646, pp. 168–179.
LibreCat
 
[289]
2005 | Conference Paper | LibreCat-ID: 15105
D. Dubois and E. Hüllermeier, “A notion of comarative probabilistic entroy based on the possibilistic specificity ordering,” in in Proceedings ECSQARU-2005, 8th European Conference of Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Barcelona, Spain, 2005.
LibreCat
 
[288]
2005 | Conference Paper | LibreCat-ID: 15214
I. Karimi and E. Hüllermeier, “A fuzzy-probablistic risk assessment system for natural disasters,” in in Proceedings IFSA-2005, 11th  World Congress of the International Fuzzy System Association, Beijing, China, 2005, pp. 1147–1153.
LibreCat
 
[287]
2005 | Conference Paper | LibreCat-ID: 15215
E. Lughofer, E. Hüllermeier, and E. Klement, “Improving the interpretability of data-driven evolving fuzzy systems,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology, Barcelona, Spain, 2005.
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[286]
2005 | Conference Paper | LibreCat-ID: 15216
Y. Yi and E. Hüllermeier, “Learning complexity-boundet rule-based classifiers by combining association analysis and genetic algorithms,” in in Proceedings EUSFLAT-2005 4th International Conference on the European Society for Fuzzy Logic and Technology,  Barcelona, Spain, 2005.
LibreCat
 
[285]
2005 | Journal Article | LibreCat-ID: 16174
E. Hüllermeier, “Fuzzy sets in machine learning and data mining: Status and prospects,” Fuzzy Sets and Systems, vol. 156, no. 3, pp. 387–406, 2005.
LibreCat
 
[284]
2005 | Journal Article | LibreCat-ID: 16178
E. Hüllermeier, “Experience-based decision making: A satisficing decision tree approach,” IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, vol. 35, no. 5, pp. 641–653, 2005.
LibreCat
 
[283]
2005 | Journal Article | LibreCat-ID: 16181
R. Balasubramaniyan, E. Hüllermeier, N. Weskamp, and J. Kämper, “Clustering of gene expression data using a local shape-based similarity measure,” Bioinformatics, vol. 21, no. 7, pp. 1069–1077, 2005.
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[282]
2004 | Conference Paper | LibreCat-ID: 15801
D. Dubois, E. Hüllermeier, and H. Prade, “A systematic approach to the assessment of fuzzy association rules,” in In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK, 2004.
LibreCat
 
[281]
2004 | Conference Paper | LibreCat-ID: 15804
N. Weskamp, E. Hüllermeier, D. Kuhn, and G. Klebe, “Graph alignments: A new concept to detect conserved regions in protein active sites,” in In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany, 2004, pp. 131–140.
LibreCat
 
[280]
2004 | Conference Paper | LibreCat-ID: 14842
E. Hüllermeier, “Instance-based prediction with guaranteed confidence,” in In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain, 2004, pp. 97–101.
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[279]
2004 | Conference Paper | LibreCat-ID: 15217
E. Hüllermeier and J. Fürnkranz, “Comparison of ranking procedures in pairwise preference learning,” in In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
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[278]
2004 | Conference Paper | LibreCat-ID: 15218
E. Hüllermeier and J. Fürnkranz, “Ranking by pairwise comparison: A note on risk minimization,” in in Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 2004.
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[277]
2004 | Conference Paper | LibreCat-ID: 15219
I. Karimi, E. Hüllermeier, and K. Meskouris, “An earthquake risk assessment method based on fuzzy probability,” in in Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien, 2004.
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[276]
2004 | Conference Paper | LibreCat-ID: 15220
E. Hüllermeier and J. Beringer, “Learning decision rules from positive and negative preferences,” in In Proceedings IPMU-2004 10th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Perugia, Italy, 2004.
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[275]
2004 | Journal Article | LibreCat-ID: 16185
E. Hüllermeier, I. Renners, and A. Grauel, “An evolutionary approach to constraints-regularized learning,” Mathware and Soft Computing, vol. 11, no. 2–3, pp. 109–124, 2004.
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[274]
2004 | Journal Article | LibreCat-ID: 16186
N. Weskamp, D. Kuhn, E. Hüllermeier, and G. Klebe, “Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing,” Bioinformatics, vol. 20, no. 10, pp. 1522–1526, 2004.
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[273]
2004 | Journal Article | LibreCat-ID: 16187
E. Hüllermeier, “Flexible constraints for regularization in learning from data,” International Journal of Intelligent Systems, vol. 19, no. 6, pp. 525–541, 2004.
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[272]
2003 | Conference Paper | LibreCat-ID: 15802
N. Weskamp, D. Kuhn, E. Hüllermeier, and G. Klebe, “Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing,” in In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany, 2003.
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[271]
2003 | Conference Paper | LibreCat-ID: 15803
E. Hüllermeier, “Instance-based learning of credible label sets,” in In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany, 2003.
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[270]
2003 | Conference Paper | LibreCat-ID: 15065
E. Hüllermeier, “Regularized learning with flexible constraints,” in In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis, 2003, vol. 2810.
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[269]
2003 | Conference Paper | LibreCat-ID: 15066
J. Fürnkranz and E. Hüllermeier, “Pairwise preference learning and ranking,” in In Proceedings ECML-2003, 13 th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, 2003.
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[268]
2003 | Conference Paper | LibreCat-ID: 15221
E. Hüllermeier, “Instance-based collaborative filtering with fuzzy labels,” in in Proceedings EUSFLAT-2003 3th International Conference on the European Society for Fuzzy Logic and Technology, Zittlau, Germany, 2003, pp. 468–473.
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[267]
2003 | Conference Paper | LibreCat-ID: 15222
D. Dubois, E. Hüllermeier, and H. Prade, “A note on quality measures for fuzzy association rules,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.
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[266]
2003 | Conference Paper | LibreCat-ID: 15223
E. Hüllermeier, “Inducing fuzzy concepts through extended version space learning,” in in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, 2003, vol. 2715, pp. 648–677.
LibreCat
 
[265]
2003 | Journal Article | LibreCat-ID: 16188
E. Hüllermeier, “Possibilistic instance-based learning,” Artificial Intelligence, vol. 148, no. 1–2, pp. 335–383, 2003.
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[264]
2003 | Journal Article | LibreCat-ID: 16189
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “Flexibility and case-based evaluation in querying: An Illustration in an experimental setting,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 11, no. 1, pp. 43–66, 2003.
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[263]
2003 | Journal Article | LibreCat-ID: 16190
D. Dubois, E. Hüllermeier, and H. Prade, “On the representation of fuzzy rules in terms of crisp rules,” Information Sciences, vol. 151, pp. 301–326, 2003.
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[262]
2003 | Book Chapter | LibreCat-ID: 16228
E. Hüllermeier, “Sequential decision making in heuristic search,” in Planning Based on Decision Theory (CISM Courses and Lectures No.472), G. Della Riccia, D. Dubois, R. Kruse, and H. J. Lenz, Eds. Springer, 2003.
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[261]
2003 | Book Chapter | LibreCat-ID: 16229
D. Dubois, E. Hüllermeier, and H. Prade, “Possibilistic case-based decisions,” in Connectionist Approaches in Economics and Management  Sciences, vol. 6, C. Lesage and M. Cottrell, Eds. Kluwer, 2003.
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[260]
2003 | Book Chapter | LibreCat-ID: 16230
E. Hüllermeier and J. Beringer, “Mining implication-based fuzzy association rules in databases,” in Intelligent Systems for information processing: From representation to applications, B. Bouchon-Meunier, L. Foulloy, and R. R. . Yager, Eds. Elsevier, 2003.
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[259]
2002 | Conference Paper | LibreCat-ID: 14843
E. Hüllermeier, “On the representation and combination of evidence in instance-based learning,” in In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France, 2002, pp. 360–364.
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[258]
2002 | Conference Paper | LibreCat-ID: 15064
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “A fuzzy set approach to flexible case-based querying: methodology and experimentation,” in in Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France, 2002, pp. 449–458.
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[257]
2002 | Conference Paper | LibreCat-ID: 15098
E. Hüllermeier, “Association rules for expressing gradual dependencies,” in in Proceedings PKDD-02  6th European Conference on Principles and Practise of Knowledge Discovery in Databases, Helsinki, Finland, 2002, pp. 200–211.
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[256]
2002 | Conference Paper | LibreCat-ID: 15101
E. Hüllermeier, “Possibilistic induction in decision tree learning,” in in Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland, 2002, pp. 173–184.
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[255]
2002 | Conference Paper | LibreCat-ID: 15226
E. Hüllermeier, “Mining implication-based fuzzy association rules in databases,” in In Proceedings IPMU-2002 9th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems,Annecy, France, 2002, pp. 101–108.
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[254]
2002 | Conference Paper | LibreCat-ID: 15227
E. Hüllermeier, “Exploiting similarity and experience in decision making,” in in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 729–734.
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[253]
2002 | Conference Paper | LibreCat-ID: 15228
M. De Calmès, D. Dubois, E. Hüllermeier, H. Prade, and F. Sèdes, “Case-based quering and prediction: A fuzzy set approach,” in in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii, 2002, pp. 735–740.
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[252]
2002 | Journal Article | LibreCat-ID: 16191
E. Hüllermeier, D. Dubois, and H. Prade, “Model adaption in possibilistic instance-based reasoning,” IEEE Transactions on Fuzzy Systems, vol. 10, no. 3, pp. 333–339, 2002.
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[251]
2002 | Journal Article | LibreCat-ID: 16192
D. Dubois, E. Hüllermeier, and H. Prade, “Fuzzy set-based methods in instance-based reasoning,” IEEE Transactions on Fuzzy Systems, vol. 10, no. 3, pp. 322–332, 2002.
LibreCat
 
[250]
2002 | Book Chapter | LibreCat-ID: 16232
E. Hüllermeier, D. Dubois, and H. Prade, “Knowledge-based extrapolation of cases: A possibilistic approach,” in Technologies for Constructing Intelligent Systems, B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, and R. R. Yager, Eds. Springer, 2002, pp. 377–390.
LibreCat
 
[249]
2001 | Conference Paper | LibreCat-ID: 15300
E. Hüllermeier, “Experience-based decision making and learning from examples,” in In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany, 2001.
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[248]
2001 | Conference Paper | LibreCat-ID: 15805
E. Hüllermeier, “Possibilistic instance-based learning,” in In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 108–115.
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[247]
2001 | Conference Paper | LibreCat-ID: 15806
E. Hüllermeier, “Implication-based fuzzy association rules,” in In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany, 2001, pp. 93–99.
LibreCat
 
[246]
2001 | Conference Paper | LibreCat-ID: 15807
E. Hüllermeier, D. Dubois, and H. Prade, “Instance-based prediction in the framework of possibility theory,” in In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada, 2001.
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[245]
2001 | Conference Paper | LibreCat-ID: 15106
E. Hüllermeier, “Implication-based fuzzy association rules,” in in Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany, 2001, vol. 2168, pp. 241–252.
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[244]
2001 | Conference Paper | LibreCat-ID: 15229
E. Hüllermeier, “Fuzzy association rules: Semantic issues and quality measures,” in in Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany, 2001, vol. 2206, pp. 380–391.
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[243]
2001 | Conference Paper | LibreCat-ID: 15230
D. Dubois, E. Hüllermeier, and H. Prade, “Toward the representation of implication-based fuzzy rules in terms of crisp rules,” in in Proceedings IFSA/NAFIPS-2001  Joint 9th World Congress of the International Fuzzy Systems Association and 20th Internatinonal Conference of the North American Fuzzy Information Processing Society, Vancouver, Canada, 2001, pp. 1592–1597.
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[242]
2001 | Journal Article | LibreCat-ID: 16193
E. Hüllermeier, “Similarity-based inference as evidential reasoning,” International Journal of Approximate Reasoning, vol. 26, pp. 67–100, 2001.
LibreCat
 
[241]
2001 | Book Chapter | LibreCat-ID: 16231
E. Hüllermeier, “Machinelles Lernen und Komplexität,” in Ökonomie und Gesellschaft, Jahrbuch 17: Komplexität und Lernen, F. Haslinger and P. Weise, Eds. Metropolis, 2001, pp. 255–288.
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[240]
2001 | Book Chapter | LibreCat-ID: 16233
M. Kraft, E. Hüllermeier, and P. Weise, “Empirische  Überprüfung eines synergetischen Konjunkturmodells,” in Studien zur Evoltorischen Ökonomik IV, H.-W. Lorenz and B. Meyer, Eds. Duncker & Humblot, Berlin, 2001, pp. 11–44.
LibreCat
 

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