439 Publications

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[439]
2013 | Conference Paper | LibreCat-ID: 15752
Cheng, W., Henzgen, S., & Hüllermeier, E. (2013). Labelwise versus pairwise decomposition in label ranking. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 129–136).
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[438]
2013 | Conference Paper | LibreCat-ID: 15753
Senge, R., del Coz, J., & Hüllermeier, E. (2013). Rectifying classifier chains for multi-label classification, Bamberg, Germany. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 151–158).
LibreCat
 
[437]
2013 | Conference Paper | LibreCat-ID: 15755
Busa-Fekete, R., Fober, T., & Hüllermeier, E. (2013). Preference-based evolutionary optimization using generalized racing algorithms. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp. 237–246). KIT Scientific Publishing.
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[436]
2013 | Conference Paper | LibreCat-ID: 15756
Henzgen, S., & Hüllermeier, E. (2013). Weighted rank correlation measures based on fuzzy order relations. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp. 227–236). KIT Scientific Publishing.
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[435]
2013 | Conference Paper | LibreCat-ID: 15757
Weng, P., Busa-Fekete, R., & Hüllermeier, E. (2013). 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.
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[434]
2013 | Conference Paper | LibreCat-ID: 15758
Busa-Fekete, R., Szörenyi, B., Weng, P., & Hüllermeier, E. (2013). Preference-based evolutionary direct policy search. In In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague.
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[433]
2013 | Conference Paper | LibreCat-ID: 15759
Cheng, W., & Hüllermeier, E. (2013). 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.
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[432]
2013 | Conference Paper | LibreCat-ID: 15760
Shaker, A., & Hüllermeier, E. (2013). Event history analysis on data streams: An application to earthquake occurence. In G. Krempl, I. Zliobaite, Y. Wang, & G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic (pp. 38–41).
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[431]
2013 | Conference Paper | LibreCat-ID: 15761
Senge, R., del Coz, J. J., & Hüllermeier, E. (2013). On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery. In L. Schmidt-Thieme & M. Spiliopoulou (Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany . Springer.
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[430]
2013 | Conference Paper | LibreCat-ID: 15763
Fober, T., Klebe, G., & Hüllermeier, E. (2013). Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life. In B. Lausen, D. Van den Poel, & A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany (pp. 279–286). Springer.
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[429]
2013 | Conference Paper | LibreCat-ID: 15112
Fallah Tehrani, A., & Hüllermeier, E. (2013). Ordinal Choquistic regression . In J. Montero, G. Pasi, & D. Ciucci (Eds.), in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis Press.
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[428]
2013 | Conference Paper | LibreCat-ID: 15113
Nasiri, N., Fober, T., Senge, R., & Hüllermeier, E. (2013). 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 (pp. 715–721).
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[427]
2013 | Journal Article | LibreCat-ID: 16044
Heider, D., Senge, R., Cheng, W., & Hüllermeier, E. (2013). Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction. Bioinformatics, 29(16), 1946–1952.
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[426]
2013 | Journal Article | LibreCat-ID: 16081
Bösner, S., Bönisch, K., Haasenritter , J., Schlegel, P., Hüllermeier, E., & Donner-Banzhoff, N. (2013). 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, 14(1), 154–162.
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[425]
2013 | Journal Article | LibreCat-ID: 16086
Haasenritter, J., Viniol, A., Becker, A., Bösner, S., Hüllermeier, E., Senge, R., & Donner-Banzhoff, N. (2013). Diagnose im Kontext - eine erweiterte Perspektive. Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ), 107, 585–591.
LibreCat
 
[424]
2013 | Journal Article | LibreCat-ID: 16123
Shaker, A., Senge, R., & Hüllermeier, E. (2013). Evolving fuzzy pattern trees for binary classification on data streams. Information Sciences, 220, 34–45.
LibreCat
 
[423]
2013 | Conference Paper | LibreCat-ID: 13115
Szarvas, G., Busa-Fekete, R., & Hüllermeier, E. (2013). Learning to rank lexical substitutions. In In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA.
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[422]
2013 | Conference Paper | LibreCat-ID: 13116
Dembczynski, K., Jachnik, A., Kotlowski, W., Waegeman, W., & Hüllermeier, E. (2013). Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1130–1138).
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[421]
2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete, R., Szoreny, B., Weng, P., Cheng, W., & Hüllermeier, E. (2013). Top-k selection based on adaptive sampling of noisy preferences. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1094–1102).
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[420]
2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier, E., & Cheng, W. (2013). Preference-based CBR: General ideas and basic principles. In F. Rossi (Ed.), in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China (pp. 3012–3016). AAAI Press.
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[419]
2013 | Conference Paper | LibreCat-ID: 13119
Henzgen, S., Strickert, M., & Hüllermeier, E. (2013). Rule chains for visualizing evolving fuzzy rule-based systems. In R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, & A. Zolnierek (Eds.), in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland (pp. 279–288). Springer.
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[418]
2013 | Conference Paper | LibreCat-ID: 13190
Shaker, A., & Hüllermeier, E. (2013). Recovery analysis for adaptive learning from non-stationary data streams. In R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, & A. Zolnierek (Eds.), in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland (pp. 289–298). Springer.
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[417]
2012 | Conference Paper | LibreCat-ID: 15299
Leinweber, M., Baumgärtner, L., Mernberger, M., Fober, T., Hüllermeier, E., Klebe, G., & Freisleben, B. (2012). 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.
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[416]
2012 | Book Chapter | LibreCat-ID: 15396
Hüllermeier, E., & Fallah Tehrani, A. (2012). Efficient learning of classifiers based on the 2-additive Choquet integral. In C. Moewes & A. Nürnberger (Eds.), Computational Intelligence in Intelligent Data Analysis (pp. 17–30). Springer.
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[415]
2012 | Conference Paper | LibreCat-ID: 15754
Bräuning, M., & Hüllermeier, E. (2012). Learning conditional lexicographic preference trees. In In Workshops on Preference Learning at ECAI, European Conference on Artiticial intelligence, Montpellier, France.
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[414]
2012 | Conference Paper | LibreCat-ID: 15114
Hüllermeier, E., & Fallah Tehrani, A. (2012). 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.
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[413]
2012 | Journal Article | LibreCat-ID: 16084
Fallah Tehrani, A., Cheng, W., Dembczynski, K., & Hüllermeier, E. (2012). Learning  monotone nonlinear models using the Choquet integral. Machine Learning, 89(1), 183–211.
LibreCat
 
[412]
2012 | Journal Article | LibreCat-ID: 16085
Bustince, H., Pagola, M., Mesiar, R., Hüllermeier, E., & Herrera, F. (2012). Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons. IEEE Transactions on Fuzzy Systems, 20(3), 405–415.
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[411]
2012 | Journal Article | LibreCat-ID: 16087
Fürnkranz, J., Hüllermeier, E., Cheng, W., & Park, S. H. (2012). Preference-based reinforcement learning: A formal framework and a policy iteration algorithm. Machine Learning, 89(1), 123–156.
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[410]
2012 | Journal Article | LibreCat-ID: 16088
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2012). On label dependence and loss  minimization in multi-label classification. Machine Learning, 88(1–2), 5–45.
LibreCat
 
[409]
2012 | Journal Article | LibreCat-ID: 16089
Shaker, A., & Hüllermeier, E. (2012). IBL Streams: A system for instance-based classification and regression on data streams. Evolving Systems, 3(4), 235–249.
LibreCat
 
[408]
2012 | Journal Article | LibreCat-ID: 16090
Dolorez Ruiz, M., & Hüllermeier, E. (2012). A formal and empirical analysis of the fuzzy gamma rank correlation coefficient. Information Sciences, 206, 1–17.
LibreCat
 
[407]
2012 | Journal Article | LibreCat-ID: 16091
Fallah Tehrani, A., Cheng, W., & Hüllermeier, E. (2012). Preference learning using the Choquet integral: The case of multipartite ranking. IEEE Transactions on Fuzzy Systems, 20(6), 1102–1113.
LibreCat
 
[406]
2012 | Journal Article | LibreCat-ID: 16092
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2012). Fingerprint kernels for protein structure comparison. Molecular Informatics, 31(6–7), 443–452.
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[405]
2012 | Journal Article | LibreCat-ID: 16093
Hüllermeier, E., Rifqi, M., Henzgen, S., & Senge, R. (2012). Comparing fuzzy partitions: A generalization of the Rand index and related measures. IEEE Transactions on Fuzzy Systems, 20(3), 546–556.
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[404]
2012 | Journal Article | LibreCat-ID: 16094
Senge, R., Fober, T., Nasiri, N., & Hüllermeier, E. (2012). Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung. At-Atomatisierungstechnik, 60(10), 622–629.
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[403]
2012 | Conference Paper | LibreCat-ID: 13120
Cheng, W., Hüllermeier, E., Waegeman, W., & Welker, V. (2012). 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.
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[402]
2012 | Conference Paper | LibreCat-ID: 13191
Cheng, W., & Hüllermeier, E. (2012). 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.
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[401]
2012 | Conference Paper | LibreCat-ID: 13192
Dembczynski, K., Kotlowski, W., & Hüllermeier, E. (2012). Consistent multilabel ranking through univariate loss minimization. In J. Langford & J. Pineau (Eds.), in Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland.
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[400]
2012 | Conference Paper | LibreCat-ID: 13193
Dembczynski, K., Waegeman, W., & Hüllermeier, E. (2012). An analysis of chaining in multi-label classification. In In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France (pp. 294–299). IOS Press.
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[399]
2012 | Book Chapter | LibreCat-ID: 10153
Hüllermeier, E. (2012). Fuzzy rules in data mining: From fuzzy associations to gradual dependencies. In E. Trillas, P. P. Bonissone, L. Magdalena, & J. Kacprzyk (Eds.), Combining Experimentation and Theory (Vol. 271, pp. 123–135). Springer.
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[398]
2011 | Conference Paper | LibreCat-ID: 15762
Dembczynski, K., Waegeman, W., & Hüllermeier, E. (2011). Joint mode estimation in multi-label classification by chaining. In In Proceedings ECML Workshop on Collective inference and Learning on Structured Data, Athens, Greece.
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[397]
2011 | Conference Paper | LibreCat-ID: 15764
Mernberger, M., Moog, D., Stork, S., Zauner, S., Maier, U., & Hüllermeier, E. (2011). Prediction of protein localization for specialized compartments using time series kernels. In In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany.
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[396]
2011 | Conference Paper | LibreCat-ID: 15115
Nasiri, M., Hüllermeier, E., Senge, R., & Lughofer, E. (2011). 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 (p. RW-103-1-6).
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[395]
2011 | Conference Paper | LibreCat-ID: 15116
Lughofer, E., & Hüllermeier, E. (2011). On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure. In S. Galichet, J. Montero, & G. Mauris (Eds.), in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France (pp. 380–387).
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[394]
2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani, A., Cheng, W., & Hüllermeier, E. (2011). 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 (pp. 868–875).
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[393]
2011 | Journal Article | LibreCat-ID: 16119
Hirsch, O., Bösner, S., Hüllermeier, E., Senge, R., Dembczynski, K., & Donner-Banzhoff, N. (2011). Multivariate modeling to identify patterns in clinical data: The example of chest pain. BMC Medical Research Methodology, 11(155).
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[392]
2011 | Journal Article | LibreCat-ID: 16126
Domshlak, C., Hüllermeier, E., Kaci, S., & Prade, H. (2011). Preferences in AL: An overview. Artificial Intelligence, 175(7–8), 1037–1052.
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[391]
2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier, E. (2011). Fuzzy machine learning and data mining. WIREs Data Mining and Knowledge Discovery, 1(4), 269–283.
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[390]
2011 | Journal Article | LibreCat-ID: 16148
Mernberger, M., Klebe, G., & Hüllermeier, E. (2011). SEGA: Semi-global graph alignment for structure-based protein comparison. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 8(5), 1330–1343.
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[389]
2011 | Journal Article | LibreCat-ID: 16149
Fober, T., Glinca, S., Klebe, G., & Hüllermeier, E. (2011). Superposition and alignment of labeled point clouds. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(6), 1653–1666.
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[388]
2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier, E. (2011). Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal, 1493–1505.
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[387]
2011 | Journal Article | LibreCat-ID: 16153
Senge, R., & Hüllermeier, E. (2011). Top-down induction of fuzzy pattern trees. IEEE Transactions on Fuzzy Systems, 19(2), 241–252.
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[386]
2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2011). An exact algorithm for F-measure maximization. In In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain.
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[385]
2011 | Conference Paper | LibreCat-ID: 13195
Cheng, W., Fuernkranz, J., Hüllermeier, E., & Park, S. H. (2011). 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, .
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[384]
2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz, J., & Hüllermeier, E. (2011). Learning from label preferences. In T. Elomaa, J. Hollmen, & H. Mannila (Eds.), in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI (pp. 2–17). Springer.
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[383]
2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani, A., Cheng, W., Dembczynski, K., & Hüllermeier, E. (2011). 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,.
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[382]
2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier, E., & Schlegel, P. (2011). Preference-based CBR: First steps toward a methodological framework. In A. Ram & N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI (pp. 77–91). Springer.
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[381]
2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski, W., Dembczynski, K., & Hüllermeier, E. (2011). Bipartite ranking through minimization of univariate loss. In in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA.
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[380]
2010 | Book Chapter | LibreCat-ID: 15297
Hüllermeier, E., & Hühn, J. (2010). An Analysis of the FURIA algorithm for fuzzy rule induction. In J. Koronacki, Z. W. Ras, S. T. Wierzchon, & J. Kacprzyk (Eds.), Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski (Vol. 262, pp. 321–344). Springer.
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[379]
2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz, J., & Hüllermeier, E. (2010). Preference Learning: An Introduction. In J. Fürnkranz & E. Hüllermeier (Eds.), Preference Learning (pp. 1–18). Springer.
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[378]
2010 | Conference Paper | LibreCat-ID: 15765
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2010). Efficient similarity retrieval for protein binding sites based on histogram comparison. In In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany (pp. 51–60).
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[377]
2010 | Conference Paper | LibreCat-ID: 15772
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2010). On label dependence in multi-label classification. In In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel.
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[376]
2010 | Conference Paper | LibreCat-ID: 15118
Fober, T., & Hüllermeier, E. (2010). Similarity measures for protein structures based on fuzzy histogram comparison. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
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[375]
2010 | Conference Paper | LibreCat-ID: 15119
Senge, R., & Hüllermeier, E. (2010). Pattern trees for regression and fuzzy systems modeling. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
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[374]
2010 | Journal Article | LibreCat-ID: 16121
Pfeffer, P., Fober, T., Hüllermeier, E., & Klebe, G. (2010). GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm. Journal of Chemical Information and Modeling, 50(9), 1644–1659.
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[373]
2010 | Journal Article | LibreCat-ID: 16151
Hüllermeier, E., & Vanderlooy, S. (2010). Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting. Pattern Recognition, 43(1), 128–142.
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[372]
2010 | Journal Article | LibreCat-ID: 16152
Hüllermeier, E., & Fürnkranz, J. (2010). On predictive accuracy and risk minimization in pairwise label ranking. Journal of Computer and System Sciences, 76(1), 49–62.
LibreCat
 
[371]
2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski, K., Cheng, W., & Hüllermeier, E. (2010). Bayes optimal multilabel classification via probalistic classifier chains. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 279–286).
LibreCat
 
[370]
2010 | Conference Paper | LibreCat-ID: 13590
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Label ranking based on the Plackett-Luce model. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 215–222).
LibreCat
 
[369]
2010 | Conference Paper | LibreCat-ID: 13591
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Graded multi-label classification: The ordinal case. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel.
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[368]
2010 | Conference Paper | LibreCat-ID: 13593
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2010). 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.
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[367]
2010 | Conference Paper | LibreCat-ID: 13594
Cheng, W., Rademaker, M., De Beats, B., & Hüllermeier, E. (2010). 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.
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[366]
2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier, E. (2010). Uncertainty in clustering and classification . In in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management (Vol. 6379, pp. 16–19). Springer.
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[365]
2009 | Conference Paper | LibreCat-ID: 15773
Cheng, W., & Hüllermeier, E. (2009). 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 (pp. 28–38).
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[364]
2009 | Conference Paper | LibreCat-ID: 15774
Senge, R., & Hüllermeier, E. (2009). Learning pattern tree classifiers using a co-evolutionary algorithm. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 19th Workshop Computational Intelligence, Dortmund Germany (pp. 22–33). KIT Scientific Publishing.
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[363]
2009 | Conference Paper | LibreCat-ID: 15775
Fober, T., Mernberger, M., Moritz, R., & Hüllermeier, E. (2009). Graph-kernels for the comparative analysis of protein active sites. In I. Grosse, S. Neumann, S. Posch, F. Schreiber, & P. . Stadler (Eds.), In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany (pp. 21–31).
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[362]
2009 | Conference Paper | LibreCat-ID: 15776
Senge, R., & Hüllermeier, E. (2009). Learning pattern tree classifiers using a co-evolutionary algorithm. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany (pp. 105–110).
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[361]
2009 | Conference Paper | LibreCat-ID: 15778
Fober, T., Mernberger, M., Melnikov, V., Moritz, R., & Hüllermeier, E. (2009). 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 (pp. 30–36).
LibreCat
 
[360]
2009 | Conference Paper | LibreCat-ID: 15120
Fober, T., Klebe, G., & Hüllermeier, E. (2009). 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 (pp. 1251–1256).
LibreCat
 
[359]
2009 | Conference Paper | LibreCat-ID: 15194
Boukhris, I., Elouedi, Z., Fober, T., Mernberger, M., & Hüllermeier, E. (2009). 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 (pp. 1245–1250).
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[358]
2009 | Conference Paper | LibreCat-ID: 15195
Fober, T., & Hüllermeier, E. (2009). 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 (pp. 1299–1304).
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[357]
2009 | Conference Paper | LibreCat-ID: 15196
Hüllermeier, E., & Rifqi, M. (2009). 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 (pp. 1294–1298).
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[356]
2009 | Journal Article | LibreCat-ID: 16154
Weskamp, N., Hüllermeier, E., & Klebe, G. (2009). Merging chemical and biological space: Structural mapping of enzyme binding pocket space. Proteins, 76(2), 317–330.
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[355]
2009 | Journal Article | LibreCat-ID: 16158
Hühn, J., & Hüllermeier, E. (2009). FURIA: An Algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery , 19, 293–319.
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[354]
2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier, E., & Vanderlooy, S. (2009). Why fuzzy decision trees are good rankers. IEEE Transactions on Fuzzy Systems, 17(6), 1233–1244.
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[353]
2009 | Journal Article | LibreCat-ID: 16160
Cheng, W., & Hüllermeier, E. (2009). Combining instance-based learning and logistic regression for multilabel classification. Machine Learning, 76(2–3), 211–225.
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[352]
2009 | Journal Article | LibreCat-ID: 16161
Yi, Y., Fober, T., & Hüllermeier, E. (2009). Fuzzy operator trees for modeling rating functions. International Journal of Computational Intelligence and Applications, 8(4), 413–428.
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[351]
2009 | Journal Article | LibreCat-ID: 16162
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2009). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. Bioinformatics, 25(16), 2110–2117.
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[350]
2009 | Journal Article | LibreCat-ID: 16163
Hühn, J., & Hüllermeier, E. (2009). FR3: A fuzzy rule learner for inducing reliable classifiers. IEEE Transactions on Fuzzy Systems, 17(1), 138–149.
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[349]
2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., & Stauch, E. (2009). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. Künstliche Intelligenz, 1(09), 24–29.
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[348]
2009 | Book Chapter | LibreCat-ID: 10188
Hüllermeier, E. (2009). On the usefulness of fuzzy sets in data mining. In R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications (pp. 457–470). Springer.
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[347]
2009 | Conference Paper | LibreCat-ID: 13595
Cheng, W., Hühn, J., & Hüllermeier, E. (2009). Decision tree and instance-based learning for label ranking. In in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada (pp. 161–168).
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[346]
2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz, J., Hüllermeier, E., & Vanderlooy, S. (2009). 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.
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[345]
2009 | Conference Paper | LibreCat-ID: 13598
Cheng, W., & Hüllermeier, E. (2009). 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 (pp. 707–716). Springer.
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[344]
2008 | Conference Paper | LibreCat-ID: 15779
Hüllermeier, E., & Vanderlooy, S. (2008). Weighted voting as approximate MAP prediction in pairwise classification. In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany (pp. 34–41).
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[343]
2008 | Conference Paper | LibreCat-ID: 15780
Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction of multiple graph alignments for mining structured biomolecular data . In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany (pp. 27–33).
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[342]
2008 | Conference Paper | LibreCat-ID: 15781
Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In A. Beyer & M. Schroeder (Eds.), iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008 (pp. 44–53).
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[341]
2008 | Journal Article | LibreCat-ID: 16164
Hühn, J., & Hüllermeier, E. (2008). Is an ordinal class structure useful in classifier learning? International Journal of Data Mining, Modeling and Management , 1(1), 45–67.
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[340]
2008 | Journal Article | LibreCat-ID: 16166
Hüllermeier, E., Fürnkranz, J., Cheng, W., & Brinker, K. (2008). Label ranking by learning pairwise preferences. Artificial Intelligence, 172, 1897–1917.
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[339]
2008 | Journal Article | LibreCat-ID: 16167
Vanderlooy, S., & Hüllermeier, E. (2008). A critical analysis of variants of the AUC. Machine Learning, 72, 247–272.
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[338]
2008 | Journal Article | LibreCat-ID: 16168
Fürnkranz, J., Hüllermeier, E., Mencia, E., & Brinker, K. (2008). Multilabel classification via calibrated label ranking. Machine Learning, 73(2), 133–153.
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[337]
2008 | Journal Article | LibreCat-ID: 16169
Hüllermeier, E., & Brinker, K. (2008). Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems, 159(18), 2337–2352.
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[336]
2008 | Journal Article | LibreCat-ID: 16184
Beringer, J., & Hüllermeier, E. (2008). Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems, 23(10), 1119–1134.
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[335]
2008 | Book Chapter | LibreCat-ID: 16225
Hüllermeier, E. (2008). Granular computing in machine learning and data mining. In W. Pedrycz, A. Skowron, & V. Kreinovich (Eds.), Handbook on Granular Computing (pp. 889–906). John Wiley and Sons.
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[334]
2008 | Book Chapter | LibreCat-ID: 10154
Hüllermeier, E. (2008). Fuzzy methods in data mining. In Encyclopedia of Data Warehousing and Mining - Second Edition (pp. 907–912). Idea Group, Inc.,Hershey, USA.
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[333]
2008 | Book Chapter | LibreCat-ID: 10185
Hüllermeier, E., & Fürnkranz, J. (2008). Learning preference models from data: On the problem of label ranking and its variants. In G. Della Riccia, D. Dubois, R. Kruse, & H. J. Lenz (Eds.), Preferences and Similarities (pp. 283–304). Springer.
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[332]
2008 | Conference Paper | LibreCat-ID: 13599
Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., & Stauch, E. (2008). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 240–254).
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[331]
2008 | Conference Paper | LibreCat-ID: 13600
Cheng, W., & Hüllermeier, E. (2008). Learning similarity functions from qualitative feedback. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 120–134). Springer.
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[330]
2007 | Conference Paper | LibreCat-ID: 15782
Cheng, W., Hüllermeier, E., Seeger, B., & Vladimirskiy, I. (2007). Interactive ranking of skylines using machine learning techniques. In In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany (pp. 141–148).
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[329]
2007 | Conference Paper | LibreCat-ID: 15783
Fober, T., Hüllermeier, E., & Mernberger, M. (2007). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In R. Mikut & M. Reischl (Eds.), in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany (pp. 1–14).
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[328]
2007 | Conference Paper | LibreCat-ID: 15784
Vladimirskiy, I., Hüllermeier, E., & Stauch, E. (2007). Similarity search over uncertain archaeological data using a modified skyline operator. In D. C. Wilson & D. Khemani (Eds.), In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (pp. 31–40).
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[327]
2007 | Conference Paper | LibreCat-ID: 14832
Hüllermeier, E., & Fürnkranz, J. (2007). On minimizing the position error in label ranking. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007. Springer.
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[326]
2007 | Conference Paper | LibreCat-ID: 14833
Brinker, K., & Hüllermeier, E. (2007). Label ranking in case-based reasoning. In M. Richter & R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (Vol. 4626, pp. 77–91). Springer.
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[325]
2007 | Conference Paper | LibreCat-ID: 14834
Beringer, J., & Hüllermeier, E. (2007). Efficient instance-based learning on data streams. In P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig (pp. 34–48). Springer.
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[324]
2007 | Conference Paper | LibreCat-ID: 14835
Brinker, K., & Hüllermeier, E. (2007). Case-based multilabel ranking. In in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007 (pp. 701–707).
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[323]
2007 | Conference Paper | LibreCat-ID: 15197
Hüllermeier, E., & Brinker, K. (2007). 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 (Vol. 1, pp. 353–360).
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[322]
2007 | Conference Paper | LibreCat-ID: 15198
Beringer, J., & Hüllermeier, E. (2007). Adaptive optimization of the number of clusters in fuzzy clustering, London 2007. In in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems.
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[321]
2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier, E., Weskamp, N., Klebe, G., & Kuhn, D. (2007). 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.
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[320]
2007 | Journal Article | LibreCat-ID: 16170
Hüllermeier, E., & Yi, Y. (2007). In defense of fuzzy association analysis. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, 37(4), 1039–1043.
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[319]
2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier, E. (2007). Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering, 19(5), 847–858.
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[318]
2007 | Journal Article | LibreCat-ID: 16172
Beringer, J., & Hüllermeier, E. (2007). Efficient instance-based learning on data streams. Intelligent Data Analysis, 11(6), 627–650.
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[317]
2007 | Journal Article | LibreCat-ID: 16175
Dubois, D., & Hüllermeier, E. (2007). Comparing probability measures using possibility theory: A notion of relative peakedness. International Journal of Approximate Reasoning, 45(2), 364–385.
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[316]
2007 | Journal Article | LibreCat-ID: 16179
Weskamp, N., Hüllermeier, E., Kuhn, D., & Klebe, G. (2007). Multiple graph aligment for the structural analysis of protein active sites. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 4(2), 310–320.
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[315]
2007 | Journal Article | LibreCat-ID: 16194
Karimi, I., & Hüllermeier, E. (2007). Risk assessment for natural hazards: A new approach based on fuzzy probability. Fuzzy Sets and Systems, 158(9), 987–999.
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[314]
2007 | Book Chapter | LibreCat-ID: 16224
Hüllermeier, E. (2007). Why fuzzy set theory is useful in data mining. In F. Masseglia, P. Poncelet, & M. Teisseire (Eds.), Successes and New Directions in Data Mining (pp. 1–16). Information Science Reference, Hershey, New York.
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[313]
2007 | Book Chapter | LibreCat-ID: 16226
Beringer, J., & Hüllermeier, E. (2007). Fuzzy clustering of parallel data streams. In J. Valente de Oliveira & W. Pedrycz (Eds.), Advances in Fuzzy Clustering and its Applications (pp. 333–352). John Wiley and Sons.
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[312]
2007 | Book Chapter | LibreCat-ID: 16227
Hüllermeier, E. (2007). Fuzzy methods for data mining and machine learning: State of the art and prospects. In Fuzzy Sets and their Extensions: Representation, Aggregation and Models (pp. 355–374). Springer.
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[311]
2007 | Book | LibreCat-ID: 16282
Hüllermeier, E. (2007). Case-based Approximate Reasoning (Vol. 44). Springer.
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[310]
2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann, J. N., Fürnkranz, J., & Hüllermeier, E. (2007). On pairwise Naive Bayes classifiers. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer.
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[309]
2006 | Conference Paper | LibreCat-ID: 15785
Beringer, J., & Hüllermeier, E. (2006). Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006. In R. Mikut & M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 140–149).
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[308]
2006 | Conference Paper | LibreCat-ID: 15786
Hüllermeier, E., & Brinker, K. (2006). Classification via fuzzy preference learning. In R. Mikut & M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 190–199).
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[307]
2006 | Conference Paper | LibreCat-ID: 15798
Hüllermeier, E. (2006). Credible case-based inference using similarity profiles. In M. Minor (Ed.), In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey (pp. 230–242).
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[306]
2006 | Conference Paper | LibreCat-ID: 14836
Bade, K., Hüllermeier, E., & Nürnberger, A. (2006). Hierarchical classification by expected utility maximization. In In Proceedings ICDM-2006, IEEE International Conference on Data Mining (pp. 43–52). IEEE Computer Society Press.
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[305]
2006 | Conference Paper | LibreCat-ID: 14837
Brinker, K., & Hüllermeier, E. (2006). Case-based label ranking. In In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006 (pp. 566–573). Springer.
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[304]
2006 | Conference Paper | LibreCat-ID: 14838
Brinker, K., Fuernkranz, J., & Hüllermeier, E. (2006). A unified model for multilabel classification and ranking. In G. Brewka, S. Coradeschi, A. Perini, & P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy (pp. 489–493).
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[303]
2006 | Conference Paper | LibreCat-ID: 15201
Hüllermeier, E. (2006). 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.
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[302]
2006 | Conference Paper | LibreCat-ID: 15213
Hüllermeier, E. (2006). The Choquet integral as an aggregation operator in case-based learning. In B. Reusch (Ed.), in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund (pp. 615–628). Springer.
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[301]
2006 | Journal Article | LibreCat-ID: 16173
Dubois, D., Hüllermeier, E., & Prade, H. (2006). A systematic approach to the assessment of fuzzy association rules. Data Mining and Knowledge Discovery, 13(2), 167–192.
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[300]
2006 | Journal Article | LibreCat-ID: 16176
Dubois, D., Hüllermeier, E., & Prade, H. (2006). Fuzzy methods in case-based recommendation and decision support. Journal of Intelligent Information Systems, 27, 95–115.
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[299]
2006 | Journal Article | LibreCat-ID: 16177
Hüllermeier, E., & Beringer, J. (2006). Learning from ambiguously labeled examples. Intelligent Data Analysis, 10(5), 419–440.
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[298]
2006 | Journal Article | LibreCat-ID: 16180
Block, P., Paern, J., Hüllermeier, E., Sanschagrin, P., Sotriffer, C., & Klebe, G. (2006). Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of  machine learning algorithms. Proteins: Structure, Function and Bioinformatics, 65(3), 607–622.
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[297]
2006 | Journal Article | LibreCat-ID: 16182
Kuhn, D., Weskamp, N., Schmitt, S., Hüllermeier, E., & Klebe, G. (2006). From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase. Journal of Molecular Biology, 359(4), 1023–1044.
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[296]
2006 | Journal Article | LibreCat-ID: 16183
Beringer, J., & Hüllermeier, E. (2006). Online clustering of parallel data streams. Data and Knowledge Engineering, 58(2), 180–204.
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[295]
2006 | Journal Article | LibreCat-ID: 16195
Karimi, I., Hüllermeier, E., & Meskouris, K. (2006). A fuzzy-probablistic earthquake risk assessment system. Soft Computing, 11(3), 229–238.
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[294]
2005 | Conference Paper | LibreCat-ID: 15799
Brinker, K., & Hüllermeier, E. (2005). Calibrated label-ranking. In S. Agarwal, C. Cortes, & R. Herbrich (Eds.), In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada (pp. 1–6). http://web.mit.edu/shivani/www/Ranking-NIPS-05/.
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[293]
2005 | Conference Paper | LibreCat-ID: 15800
Hüllermeier, E., Fürnkranz, J., & Beringer, J. (2005). On position error and label ranking through iterated choice. In In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany (pp. 158–163).
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[292]
2005 | Conference Paper | LibreCat-ID: 14839
Hüllermeier, E., & NN, C. (2005). A method for combining interacting pieces of evidence in case-based learning. In L. Kaelbling & A. Saffiotti (Eds.), in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland (pp. 3–8).
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[291]
2005 | Conference Paper | LibreCat-ID: 14840
Hüllermeier, E., & Fürnkranz, J. (2005). Learning label preferences: Ranking error versus position error. In A. Famili, J. Kok, J. Pena, A. Siebes, & A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 180–191). Springer.
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2005 | Conference Paper | LibreCat-ID: 14841
Hüllermeier, E., & Beringer, J. (2005). Learning from ambiguously labeled examples. In A. Famili, J. Kok, J. Pena, A. Siebes, & A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 168–179). Springer.
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[289]
2005 | Conference Paper | LibreCat-ID: 15105
Dubois, D., & Hüllermeier, E. (2005). 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.
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[288]
2005 | Conference Paper | LibreCat-ID: 15214
Karimi, I., & Hüllermeier, E. (2005). 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 (pp. 1147–1153).
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[287]
2005 | Conference Paper | LibreCat-ID: 15215
Lughofer, E., Hüllermeier, E., & Klement, E. (2005). 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.
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[286]
2005 | Conference Paper | LibreCat-ID: 15216
Yi, Y., & Hüllermeier, E. (2005). 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.
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[285]
2005 | Journal Article | LibreCat-ID: 16174
Hüllermeier, E. (2005). Fuzzy sets in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems, 156(3), 387–406.
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[284]
2005 | Journal Article | LibreCat-ID: 16178
Hüllermeier, E. (2005). Experience-based decision making: A satisficing decision tree approach. IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, 35(5), 641–653.
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[283]
2005 | Journal Article | LibreCat-ID: 16181
Balasubramaniyan, R., Hüllermeier, E., Weskamp, N., & Kämper, J. (2005). Clustering of gene expression data using a local shape-based similarity measure. Bioinformatics, 21(7), 1069–1077.
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[282]
2004 | Conference Paper | LibreCat-ID: 15801
Dubois, D., Hüllermeier, E., & Prade, H. (2004). A systematic approach to the assessment of fuzzy association rules. In J. Cubero, D. Sanchez, Z. Ras, & T. Sudkamp (Eds.), In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK.
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[281]
2004 | Conference Paper | LibreCat-ID: 15804
Weskamp, N., Hüllermeier, E., Kuhn, D., & Klebe, G. (2004). Graph alignments: A new concept to detect conserved regions in protein active sites. In R. Giegerich & J. Stoye (Eds.), In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany (pp. 131–140). Springer.
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2004 | Conference Paper | LibreCat-ID: 14842
Hüllermeier, E. (2004). Instance-based prediction with guaranteed confidence. In R. Lopez de Mantaras & L. Saitta (Eds.), In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain (pp. 97–101). IOS Press.
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2004 | Conference Paper | LibreCat-ID: 15217
Hüllermeier, E., & Fürnkranz, J. (2004). 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.
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2004 | Conference Paper | LibreCat-ID: 15218
Hüllermeier, E., & Fürnkranz, J. (2004). Ranking by pairwise comparison: A note on risk minimization. In in Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary.
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2004 | Conference Paper | LibreCat-ID: 15219
Karimi, I., Hüllermeier, E., & Meskouris, K. (2004). An earthquake risk assessment method based on fuzzy probability. In in Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien.
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2004 | Conference Paper | LibreCat-ID: 15220
Hüllermeier, E., & Beringer, J. (2004). 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.
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[275]
2004 | Journal Article | LibreCat-ID: 16185
Hüllermeier, E., Renners, I., & Grauel, A. (2004). An evolutionary approach to constraints-regularized learning. Mathware and Soft Computing, 11(2–3), 109–124.
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[274]
2004 | Journal Article | LibreCat-ID: 16186
Weskamp, N., Kuhn, D., Hüllermeier, E., & Klebe, G. (2004). Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing. Bioinformatics, 20(10), 1522–1526.
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[273]
2004 | Journal Article | LibreCat-ID: 16187
Hüllermeier, E. (2004). Flexible constraints for regularization in learning from data. International Journal of Intelligent Systems, 19(6), 525–541.
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[272]
2003 | Conference Paper | LibreCat-ID: 15802
Weskamp, N., Kuhn, D., Hüllermeier, E., & Klebe, G. (2003). Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing. In In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany.
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[271]
2003 | Conference Paper | LibreCat-ID: 15803
Hüllermeier, E. (2003). Instance-based learning of credible label sets. In A. Günter, R. Kruse, & B. Neumann (Eds.), In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany. Springer.
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[270]
2003 | Conference Paper | LibreCat-ID: 15065
Hüllermeier, E. (2003). Regularized learning with flexible constraints. In M. R. Berthold, H. J. Lenz, E. Bradley, R. Kruse, & C. Borgelt (Eds.), In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis (Vol. 2810). Springer.
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[269]
2003 | Conference Paper | LibreCat-ID: 15066
Fürnkranz, J., & Hüllermeier, E. (2003). Pairwise preference learning and ranking. In In Proceedings ECML-2003, 13 th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia. Springer.
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[268]
2003 | Conference Paper | LibreCat-ID: 15221
Hüllermeier, E. (2003). 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 (pp. 468–473).
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[267]
2003 | Conference Paper | LibreCat-ID: 15222
Dubois, D., Hüllermeier, E., & Prade, H. (2003). A note on quality measures for fuzzy association rules. In T. Bilgic, B. De Beats, & O. Kaynak (Eds.), in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey (Vol. 2715, pp. 648–677). Springer.
LibreCat
 
[266]
2003 | Conference Paper | LibreCat-ID: 15223
Hüllermeier, E. (2003). Inducing fuzzy concepts through extended version space learning. In T. Bilgic, B. De Beats, & O. Kaynak (Eds.), in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey (Vol. 2715, pp. 648–677). Springer.
LibreCat
 
[265]
2003 | Journal Article | LibreCat-ID: 16188
Hüllermeier, E. (2003). Possibilistic instance-based learning. Artificial Intelligence, 148(1–2), 335–383.
LibreCat
 
[264]
2003 | Journal Article | LibreCat-ID: 16189
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2003). Flexibility and case-based evaluation in querying: An Illustration in an experimental setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(1), 43–66.
LibreCat
 
[263]
2003 | Journal Article | LibreCat-ID: 16190
Dubois, D., Hüllermeier, E., & Prade, H. (2003). On the representation of fuzzy rules in terms of crisp rules. Information Sciences, 151, 301–326.
LibreCat
 
[262]
2003 | Book Chapter | LibreCat-ID: 16228
Hüllermeier, E. (2003). Sequential decision making in heuristic search. In G. Della Riccia, D. Dubois, R. Kruse, & H. J. Lenz (Eds.), Planning Based on Decision Theory (CISM Courses and Lectures No.472). Springer.
LibreCat
 
[261]
2003 | Book Chapter | LibreCat-ID: 16229
Dubois, D., Hüllermeier, E., & Prade, H. (2003). Possibilistic case-based decisions. In C. Lesage & M. Cottrell (Eds.), Connectionist Approaches in Economics and Management  Sciences (Vol. 6). Kluwer.
LibreCat
 
[260]
2003 | Book Chapter | LibreCat-ID: 16230
Hüllermeier, E., & Beringer, J. (2003). Mining implication-based fuzzy association rules in databases. In B. Bouchon-Meunier, L. Foulloy, & R. R. . Yager (Eds.), Intelligent Systems for information processing: From representation to applications. Elsevier.
LibreCat
 
[259]
2002 | Conference Paper | LibreCat-ID: 14843
Hüllermeier, E. (2002). On the representation and combination of evidence in instance-based learning. In In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France (pp. 360–364). IOS Press.
LibreCat
 
[258]
2002 | Conference Paper | LibreCat-ID: 15064
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2002). A fuzzy set approach to flexible case-based querying: methodology and experimentation. In D. Fensel, F. Giunchiglia, D. Mc Guinness, & M. A. Williams (Eds.), in Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France (pp. 449–458). Morgan Kaufmann.
LibreCat
 
[257]
2002 | Conference Paper | LibreCat-ID: 15098
Hüllermeier, E. (2002). 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 (pp. 200–211). Springer.
LibreCat
 
[256]
2002 | Conference Paper | LibreCat-ID: 15101
Hüllermeier, E. (2002). Possibilistic induction in decision tree learning. In in Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland (pp. 173–184). Springer.
LibreCat
 
[255]
2002 | Conference Paper | LibreCat-ID: 15226
Hüllermeier, E. (2002). 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 (pp. 101–108).
LibreCat
 
[254]
2002 | Conference Paper | LibreCat-ID: 15227
Hüllermeier, E. (2002). Exploiting similarity and experience in decision making. In in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii (pp. 729–734).
LibreCat
 
[253]
2002 | Conference Paper | LibreCat-ID: 15228
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2002). Case-based quering and prediction: A fuzzy set approach. In in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii (pp. 735–740).
LibreCat
 
[252]
2002 | Journal Article | LibreCat-ID: 16191
Hüllermeier, E., Dubois, D., & Prade, H. (2002). Model adaption in possibilistic instance-based reasoning. IEEE Transactions on Fuzzy Systems, 10(3), 333–339.
LibreCat
 
[251]
2002 | Journal Article | LibreCat-ID: 16192
Dubois, D., Hüllermeier, E., & Prade, H. (2002). Fuzzy set-based methods in instance-based reasoning. IEEE Transactions on Fuzzy Systems, 10(3), 322–332.
LibreCat
 
[250]
2002 | Book Chapter | LibreCat-ID: 16232
Hüllermeier, E., Dubois, D., & Prade, H. (2002). Knowledge-based extrapolation of cases: A possibilistic approach. In B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, & R. R. Yager (Eds.), Technologies for Constructing Intelligent Systems (pp. 377–390). Springer.
LibreCat
 
[249]
2001 | Conference Paper | LibreCat-ID: 15300
Hüllermeier, E. (2001). Experience-based decision making and learning from examples. In In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany. Springer.
LibreCat
 
[248]
2001 | Conference Paper | LibreCat-ID: 15805
Hüllermeier, E. (2001). Possibilistic instance-based learning. In In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany (pp. 108–115).
LibreCat
 
[247]
2001 | Conference Paper | LibreCat-ID: 15806
Hüllermeier, E. (2001). Implication-based fuzzy association rules. In In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany (pp. 93–99).
LibreCat
 
[246]
2001 | Conference Paper | LibreCat-ID: 15807
Hüllermeier, E., Dubois, D., & Prade, H. (2001). Instance-based prediction in the framework of possibility theory. In In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada.
LibreCat
 
[245]
2001 | Conference Paper | LibreCat-ID: 15106
Hüllermeier, E. (2001). Implication-based fuzzy association rules. In D. Raedt & A. Siebes (Eds.), in Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany (Vol. 2168, pp. 241–252). Springer.
LibreCat
 
[244]
2001 | Conference Paper | LibreCat-ID: 15229
Hüllermeier, E. (2001). Fuzzy association rules: Semantic issues and quality measures. In B. Reusch (Ed.), in Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany (Vol. 2206, pp. 380–391). Springer.
LibreCat
 
[243]
2001 | Conference Paper | LibreCat-ID: 15230
Dubois, D., Hüllermeier, E., & Prade, H. (2001). 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 (pp. 1592–1597).
LibreCat
 
[242]
2001 | Journal Article | LibreCat-ID: 16193
Hüllermeier, E. (2001). Similarity-based inference as evidential reasoning. International Journal of Approximate Reasoning, 26, 67–100.
LibreCat
 
[241]
2001 | Book Chapter | LibreCat-ID: 16231
Hüllermeier, E. (2001). Machinelles Lernen und Komplexität. In F. Haslinger & P. Weise (Eds.), Ökonomie und Gesellschaft, Jahrbuch 17: Komplexität und Lernen (pp. 255–288). Metropolis.
LibreCat
 
[240]
2001 | Book Chapter | LibreCat-ID: 16233
Kraft, M., Hüllermeier, E., & Weise, P. (2001). Empirische  Überprüfung eines synergetischen Konjunkturmodells. In H.-W. Lorenz & B. Meyer (Eds.), Studien zur Evoltorischen Ökonomik IV (pp. 11–44). Duncker & Humblot, Berlin.
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[439]
2013 | Conference Paper | LibreCat-ID: 15752
Cheng, W., Henzgen, S., & Hüllermeier, E. (2013). Labelwise versus pairwise decomposition in label ranking. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 129–136).
LibreCat
 
[438]
2013 | Conference Paper | LibreCat-ID: 15753
Senge, R., del Coz, J., & Hüllermeier, E. (2013). Rectifying classifier chains for multi-label classification, Bamberg, Germany. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 151–158).
LibreCat
 
[437]
2013 | Conference Paper | LibreCat-ID: 15755
Busa-Fekete, R., Fober, T., & Hüllermeier, E. (2013). Preference-based evolutionary optimization using generalized racing algorithms. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp. 237–246). KIT Scientific Publishing.
LibreCat
 
[436]
2013 | Conference Paper | LibreCat-ID: 15756
Henzgen, S., & Hüllermeier, E. (2013). Weighted rank correlation measures based on fuzzy order relations. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp. 227–236). KIT Scientific Publishing.
LibreCat
 
[435]
2013 | Conference Paper | LibreCat-ID: 15757
Weng, P., Busa-Fekete, R., & Hüllermeier, E. (2013). 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.
LibreCat
 
[434]
2013 | Conference Paper | LibreCat-ID: 15758
Busa-Fekete, R., Szörenyi, B., Weng, P., & Hüllermeier, E. (2013). Preference-based evolutionary direct policy search. In In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague.
LibreCat
 
[433]
2013 | Conference Paper | LibreCat-ID: 15759
Cheng, W., & Hüllermeier, E. (2013). 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.
LibreCat
 
[432]
2013 | Conference Paper | LibreCat-ID: 15760
Shaker, A., & Hüllermeier, E. (2013). Event history analysis on data streams: An application to earthquake occurence. In G. Krempl, I. Zliobaite, Y. Wang, & G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic (pp. 38–41).
LibreCat
 
[431]
2013 | Conference Paper | LibreCat-ID: 15761
Senge, R., del Coz, J. J., & Hüllermeier, E. (2013). On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery. In L. Schmidt-Thieme & M. Spiliopoulou (Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany . Springer.
LibreCat
 
[430]
2013 | Conference Paper | LibreCat-ID: 15763
Fober, T., Klebe, G., & Hüllermeier, E. (2013). Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life. In B. Lausen, D. Van den Poel, & A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany (pp. 279–286). Springer.
LibreCat
 
[429]
2013 | Conference Paper | LibreCat-ID: 15112
Fallah Tehrani, A., & Hüllermeier, E. (2013). Ordinal Choquistic regression . In J. Montero, G. Pasi, & D. Ciucci (Eds.), in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis Press.
LibreCat
 
[428]
2013 | Conference Paper | LibreCat-ID: 15113
Nasiri, N., Fober, T., Senge, R., & Hüllermeier, E. (2013). 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 (pp. 715–721).
LibreCat
 
[427]
2013 | Journal Article | LibreCat-ID: 16044
Heider, D., Senge, R., Cheng, W., & Hüllermeier, E. (2013). Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction. Bioinformatics, 29(16), 1946–1952.
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[426]
2013 | Journal Article | LibreCat-ID: 16081
Bösner, S., Bönisch, K., Haasenritter , J., Schlegel, P., Hüllermeier, E., & Donner-Banzhoff, N. (2013). 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, 14(1), 154–162.
LibreCat
 
[425]
2013 | Journal Article | LibreCat-ID: 16086
Haasenritter, J., Viniol, A., Becker, A., Bösner, S., Hüllermeier, E., Senge, R., & Donner-Banzhoff, N. (2013). Diagnose im Kontext - eine erweiterte Perspektive. Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ), 107, 585–591.
LibreCat
 
[424]
2013 | Journal Article | LibreCat-ID: 16123
Shaker, A., Senge, R., & Hüllermeier, E. (2013). Evolving fuzzy pattern trees for binary classification on data streams. Information Sciences, 220, 34–45.
LibreCat
 
[423]
2013 | Conference Paper | LibreCat-ID: 13115
Szarvas, G., Busa-Fekete, R., & Hüllermeier, E. (2013). Learning to rank lexical substitutions. In In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA.
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[422]
2013 | Conference Paper | LibreCat-ID: 13116
Dembczynski, K., Jachnik, A., Kotlowski, W., Waegeman, W., & Hüllermeier, E. (2013). Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1130–1138).
LibreCat
 
[421]
2013 | Conference Paper | LibreCat-ID: 13117
Busa-Fekete, R., Szoreny, B., Weng, P., Cheng, W., & Hüllermeier, E. (2013). Top-k selection based on adaptive sampling of noisy preferences. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1094–1102).
LibreCat
 
[420]
2013 | Conference Paper | LibreCat-ID: 13118
Hüllermeier, E., & Cheng, W. (2013). Preference-based CBR: General ideas and basic principles. In F. Rossi (Ed.), in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China (pp. 3012–3016). AAAI Press.
LibreCat
 
[419]
2013 | Conference Paper | LibreCat-ID: 13119
Henzgen, S., Strickert, M., & Hüllermeier, E. (2013). Rule chains for visualizing evolving fuzzy rule-based systems. In R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, & A. Zolnierek (Eds.), in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland (pp. 279–288). Springer.
LibreCat
 
[418]
2013 | Conference Paper | LibreCat-ID: 13190
Shaker, A., & Hüllermeier, E. (2013). Recovery analysis for adaptive learning from non-stationary data streams. In R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, & A. Zolnierek (Eds.), in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland (pp. 289–298). Springer.
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[417]
2012 | Conference Paper | LibreCat-ID: 15299
Leinweber, M., Baumgärtner, L., Mernberger, M., Fober, T., Hüllermeier, E., Klebe, G., & Freisleben, B. (2012). 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.
LibreCat
 
[416]
2012 | Book Chapter | LibreCat-ID: 15396
Hüllermeier, E., & Fallah Tehrani, A. (2012). Efficient learning of classifiers based on the 2-additive Choquet integral. In C. Moewes & A. Nürnberger (Eds.), Computational Intelligence in Intelligent Data Analysis (pp. 17–30). Springer.
LibreCat
 
[415]
2012 | Conference Paper | LibreCat-ID: 15754
Bräuning, M., & Hüllermeier, E. (2012). Learning conditional lexicographic preference trees. In In Workshops on Preference Learning at ECAI, European Conference on Artiticial intelligence, Montpellier, France.
LibreCat
 
[414]
2012 | Conference Paper | LibreCat-ID: 15114
Hüllermeier, E., & Fallah Tehrani, A. (2012). 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.
LibreCat
 
[413]
2012 | Journal Article | LibreCat-ID: 16084
Fallah Tehrani, A., Cheng, W., Dembczynski, K., & Hüllermeier, E. (2012). Learning  monotone nonlinear models using the Choquet integral. Machine Learning, 89(1), 183–211.
LibreCat
 
[412]
2012 | Journal Article | LibreCat-ID: 16085
Bustince, H., Pagola, M., Mesiar, R., Hüllermeier, E., & Herrera, F. (2012). Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons. IEEE Transactions on Fuzzy Systems, 20(3), 405–415.
LibreCat
 
[411]
2012 | Journal Article | LibreCat-ID: 16087
Fürnkranz, J., Hüllermeier, E., Cheng, W., & Park, S. H. (2012). Preference-based reinforcement learning: A formal framework and a policy iteration algorithm. Machine Learning, 89(1), 123–156.
LibreCat
 
[410]
2012 | Journal Article | LibreCat-ID: 16088
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2012). On label dependence and loss  minimization in multi-label classification. Machine Learning, 88(1–2), 5–45.
LibreCat
 
[409]
2012 | Journal Article | LibreCat-ID: 16089
Shaker, A., & Hüllermeier, E. (2012). IBL Streams: A system for instance-based classification and regression on data streams. Evolving Systems, 3(4), 235–249.
LibreCat
 
[408]
2012 | Journal Article | LibreCat-ID: 16090
Dolorez Ruiz, M., & Hüllermeier, E. (2012). A formal and empirical analysis of the fuzzy gamma rank correlation coefficient. Information Sciences, 206, 1–17.
LibreCat
 
[407]
2012 | Journal Article | LibreCat-ID: 16091
Fallah Tehrani, A., Cheng, W., & Hüllermeier, E. (2012). Preference learning using the Choquet integral: The case of multipartite ranking. IEEE Transactions on Fuzzy Systems, 20(6), 1102–1113.
LibreCat
 
[406]
2012 | Journal Article | LibreCat-ID: 16092
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2012). Fingerprint kernels for protein structure comparison. Molecular Informatics, 31(6–7), 443–452.
LibreCat
 
[405]
2012 | Journal Article | LibreCat-ID: 16093
Hüllermeier, E., Rifqi, M., Henzgen, S., & Senge, R. (2012). Comparing fuzzy partitions: A generalization of the Rand index and related measures. IEEE Transactions on Fuzzy Systems, 20(3), 546–556.
LibreCat
 
[404]
2012 | Journal Article | LibreCat-ID: 16094
Senge, R., Fober, T., Nasiri, N., & Hüllermeier, E. (2012). Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung. At-Atomatisierungstechnik, 60(10), 622–629.
LibreCat
 
[403]
2012 | Conference Paper | LibreCat-ID: 13120
Cheng, W., Hüllermeier, E., Waegeman, W., & Welker, V. (2012). 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.
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[402]
2012 | Conference Paper | LibreCat-ID: 13191
Cheng, W., & Hüllermeier, E. (2012). 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.
LibreCat
 
[401]
2012 | Conference Paper | LibreCat-ID: 13192
Dembczynski, K., Kotlowski, W., & Hüllermeier, E. (2012). Consistent multilabel ranking through univariate loss minimization. In J. Langford & J. Pineau (Eds.), in Proceedings ICML-2012,  International Conference on Machine Learning, Edinburgh, Scotland.
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[400]
2012 | Conference Paper | LibreCat-ID: 13193
Dembczynski, K., Waegeman, W., & Hüllermeier, E. (2012). An analysis of chaining in multi-label classification. In In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France (pp. 294–299). IOS Press.
LibreCat
 
[399]
2012 | Book Chapter | LibreCat-ID: 10153
Hüllermeier, E. (2012). Fuzzy rules in data mining: From fuzzy associations to gradual dependencies. In E. Trillas, P. P. Bonissone, L. Magdalena, & J. Kacprzyk (Eds.), Combining Experimentation and Theory (Vol. 271, pp. 123–135). Springer.
LibreCat
 
[398]
2011 | Conference Paper | LibreCat-ID: 15762
Dembczynski, K., Waegeman, W., & Hüllermeier, E. (2011). Joint mode estimation in multi-label classification by chaining. In In Proceedings ECML Workshop on Collective inference and Learning on Structured Data, Athens, Greece.
LibreCat
 
[397]
2011 | Conference Paper | LibreCat-ID: 15764
Mernberger, M., Moog, D., Stork, S., Zauner, S., Maier, U., & Hüllermeier, E. (2011). Prediction of protein localization for specialized compartments using time series kernels. In In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany.
LibreCat
 
[396]
2011 | Conference Paper | LibreCat-ID: 15115
Nasiri, M., Hüllermeier, E., Senge, R., & Lughofer, E. (2011). 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 (p. RW-103-1-6).
LibreCat
 
[395]
2011 | Conference Paper | LibreCat-ID: 15116
Lughofer, E., & Hüllermeier, E. (2011). On-line redundancy deletion in evolving fuzzy regression models using a fuzzy inclusion measure. In S. Galichet, J. Montero, & G. Mauris (Eds.), in Proceedings EUSFLAT-2011 7th International Conference on the European Society for Fuzzy Logic and Technology, Aix-les-Bains, France (pp. 380–387).
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[394]
2011 | Conference Paper | LibreCat-ID: 15117
Fallah Tehrani, A., Cheng, W., & Hüllermeier, E. (2011). 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 (pp. 868–875).
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[393]
2011 | Journal Article | LibreCat-ID: 16119
Hirsch, O., Bösner, S., Hüllermeier, E., Senge, R., Dembczynski, K., & Donner-Banzhoff, N. (2011). Multivariate modeling to identify patterns in clinical data: The example of chest pain. BMC Medical Research Methodology, 11(155).
LibreCat
 
[392]
2011 | Journal Article | LibreCat-ID: 16126
Domshlak, C., Hüllermeier, E., Kaci, S., & Prade, H. (2011). Preferences in AL: An overview. Artificial Intelligence, 175(7–8), 1037–1052.
LibreCat
 
[391]
2011 | Journal Article | LibreCat-ID: 16147
Hüllermeier, E. (2011). Fuzzy machine learning and data mining. WIREs Data Mining and Knowledge Discovery, 1(4), 269–283.
LibreCat
 
[390]
2011 | Journal Article | LibreCat-ID: 16148
Mernberger, M., Klebe, G., & Hüllermeier, E. (2011). SEGA: Semi-global graph alignment for structure-based protein comparison. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 8(5), 1330–1343.
LibreCat
 
[389]
2011 | Journal Article | LibreCat-ID: 16149
Fober, T., Glinca, S., Klebe, G., & Hüllermeier, E. (2011). Superposition and alignment of labeled point clouds. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(6), 1653–1666.
LibreCat
 
[388]
2011 | Journal Article | LibreCat-ID: 16150
Hüllermeier, E. (2011). Fuzzy sets in machine learning and data mining. Applied Soft Computing Journal, 1493–1505.
LibreCat
 
[387]
2011 | Journal Article | LibreCat-ID: 16153
Senge, R., & Hüllermeier, E. (2011). Top-down induction of fuzzy pattern trees. IEEE Transactions on Fuzzy Systems, 19(2), 241–252.
LibreCat
 
[386]
2011 | Conference Paper | LibreCat-ID: 13194
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2011). An exact algorithm for F-measure maximization. In In Proceedings NIPS-2011, 25th Annual Conference on Neural Information Processing Systems, Granada, Spain.
LibreCat
 
[385]
2011 | Conference Paper | LibreCat-ID: 13195
Cheng, W., Fuernkranz, J., Hüllermeier, E., & Park, S. H. (2011). 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, .
LibreCat
 
[384]
2011 | Conference Paper | LibreCat-ID: 13196
Fürnkranz, J., & Hüllermeier, E. (2011). Learning from label preferences. In T. Elomaa, J. Hollmen, & H. Mannila (Eds.), in Proceedings DS-2011, 14th International  Conference on Discovery Science, number 6926 in LNAI (pp. 2–17). Springer.
LibreCat
 
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2011 | Conference Paper | LibreCat-ID: 13197
Fallah Tehrani, A., Cheng, W., Dembczynski, K., & Hüllermeier, E. (2011). 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,.
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[382]
2011 | Conference Paper | LibreCat-ID: 13198
Hüllermeier, E., & Schlegel, P. (2011). Preference-based CBR: First steps toward a methodological framework. In A. Ram & N. Wiratunga (Eds.), In Proceedings ICCBR-2011, 19th International Conference on Case-Based Reasoning, number 6880 in LNAI (pp. 77–91). Springer.
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[381]
2011 | Conference Paper | LibreCat-ID: 13588
Kotlowski, W., Dembczynski, K., & Hüllermeier, E. (2011). Bipartite ranking through minimization of univariate loss. In in Proceedings ICML-2011, 28th International Conference on Machine Learning, Washington, USA.
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[380]
2010 | Book Chapter | LibreCat-ID: 15297
Hüllermeier, E., & Hühn, J. (2010). An Analysis of the FURIA algorithm for fuzzy rule induction. In J. Koronacki, Z. W. Ras, S. T. Wierzchon, & J. Kacprzyk (Eds.), Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S.Michalski (Vol. 262, pp. 321–344). Springer.
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[379]
2010 | Book Chapter | LibreCat-ID: 15298
Fürnkranz, J., & Hüllermeier, E. (2010). Preference Learning: An Introduction. In J. Fürnkranz & E. Hüllermeier (Eds.), Preference Learning (pp. 1–18). Springer.
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[378]
2010 | Conference Paper | LibreCat-ID: 15765
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2010). Efficient similarity retrieval for protein binding sites based on histogram comparison. In In Proceedings GCB-2010 German Conference on Bioinformatics Braunschweig, Germany (pp. 51–60).
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[377]
2010 | Conference Paper | LibreCat-ID: 15772
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2010). On label dependence in multi-label classification. In In Proceedings MLD-2010, 2nd International Workshop on Learning from Multi-Label Data, Haifa, Israel.
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[376]
2010 | Conference Paper | LibreCat-ID: 15118
Fober, T., & Hüllermeier, E. (2010). Similarity measures for protein structures based on fuzzy histogram comparison. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
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[375]
2010 | Conference Paper | LibreCat-ID: 15119
Senge, R., & Hüllermeier, E. (2010). Pattern trees for regression and fuzzy systems modeling. In in Proceedings WCCI-2010, World Congress on Computational Intelligence, Barcelona, Spain.
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[374]
2010 | Journal Article | LibreCat-ID: 16121
Pfeffer, P., Fober, T., Hüllermeier, E., & Klebe, G. (2010). GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm. Journal of Chemical Information and Modeling, 50(9), 1644–1659.
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[373]
2010 | Journal Article | LibreCat-ID: 16151
Hüllermeier, E., & Vanderlooy, S. (2010). Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting. Pattern Recognition, 43(1), 128–142.
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[372]
2010 | Journal Article | LibreCat-ID: 16152
Hüllermeier, E., & Fürnkranz, J. (2010). On predictive accuracy and risk minimization in pairwise label ranking. Journal of Computer and System Sciences, 76(1), 49–62.
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[371]
2010 | Conference Paper | LibreCat-ID: 13589
Dembczynski, K., Cheng, W., & Hüllermeier, E. (2010). Bayes optimal multilabel classification via probalistic classifier chains. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 279–286).
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[370]
2010 | Conference Paper | LibreCat-ID: 13590
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Label ranking based on the Plackett-Luce model. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel (pp. 215–222).
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[369]
2010 | Conference Paper | LibreCat-ID: 13591
Cheng, W., Dembczynski, K., & Hüllermeier, E. (2010). Graded multi-label classification: The ordinal case. In J. Fürnkranz & T. Joachims (Eds.), in Proceedings ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel.
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[368]
2010 | Conference Paper | LibreCat-ID: 13593
Dembczynski, K., Waegeman, W., Cheng, W., & Hüllermeier, E. (2010). 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.
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[367]
2010 | Conference Paper | LibreCat-ID: 13594
Cheng, W., Rademaker, M., De Beats, B., & Hüllermeier, E. (2010). 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.
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[366]
2010 | Conference Paper | LibreCat-ID: 13597
Hüllermeier, E. (2010). Uncertainty in clustering and classification . In in Proceedings SUM 2010, International Conference on Scalable Uncertainty Management (Vol. 6379, pp. 16–19). Springer.
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[365]
2009 | Conference Paper | LibreCat-ID: 15773
Cheng, W., & Hüllermeier, E. (2009). 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 (pp. 28–38).
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[364]
2009 | Conference Paper | LibreCat-ID: 15774
Senge, R., & Hüllermeier, E. (2009). Learning pattern tree classifiers using a co-evolutionary algorithm. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 19th Workshop Computational Intelligence, Dortmund Germany (pp. 22–33). KIT Scientific Publishing.
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[363]
2009 | Conference Paper | LibreCat-ID: 15775
Fober, T., Mernberger, M., Moritz, R., & Hüllermeier, E. (2009). Graph-kernels for the comparative analysis of protein active sites. In I. Grosse, S. Neumann, S. Posch, F. Schreiber, & P. . Stadler (Eds.), In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany (pp. 21–31).
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[362]
2009 | Conference Paper | LibreCat-ID: 15776
Senge, R., & Hüllermeier, E. (2009). Learning pattern tree classifiers using a co-evolutionary algorithm. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany (pp. 105–110).
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[361]
2009 | Conference Paper | LibreCat-ID: 15778
Fober, T., Mernberger, M., Melnikov, V., Moritz, R., & Hüllermeier, E. (2009). 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 (pp. 30–36).
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[360]
2009 | Conference Paper | LibreCat-ID: 15120
Fober, T., Klebe, G., & Hüllermeier, E. (2009). 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 (pp. 1251–1256).
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[359]
2009 | Conference Paper | LibreCat-ID: 15194
Boukhris, I., Elouedi, Z., Fober, T., Mernberger, M., & Hüllermeier, E. (2009). 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 (pp. 1245–1250).
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[358]
2009 | Conference Paper | LibreCat-ID: 15195
Fober, T., & Hüllermeier, E. (2009). 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 (pp. 1299–1304).
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[357]
2009 | Conference Paper | LibreCat-ID: 15196
Hüllermeier, E., & Rifqi, M. (2009). 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 (pp. 1294–1298).
LibreCat
 
[356]
2009 | Journal Article | LibreCat-ID: 16154
Weskamp, N., Hüllermeier, E., & Klebe, G. (2009). Merging chemical and biological space: Structural mapping of enzyme binding pocket space. Proteins, 76(2), 317–330.
LibreCat
 
[355]
2009 | Journal Article | LibreCat-ID: 16158
Hühn, J., & Hüllermeier, E. (2009). FURIA: An Algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery , 19, 293–319.
LibreCat
 
[354]
2009 | Journal Article | LibreCat-ID: 16159
Hüllermeier, E., & Vanderlooy, S. (2009). Why fuzzy decision trees are good rankers. IEEE Transactions on Fuzzy Systems, 17(6), 1233–1244.
LibreCat
 
[353]
2009 | Journal Article | LibreCat-ID: 16160
Cheng, W., & Hüllermeier, E. (2009). Combining instance-based learning and logistic regression for multilabel classification. Machine Learning, 76(2–3), 211–225.
LibreCat
 
[352]
2009 | Journal Article | LibreCat-ID: 16161
Yi, Y., Fober, T., & Hüllermeier, E. (2009). Fuzzy operator trees for modeling rating functions. International Journal of Computational Intelligence and Applications, 8(4), 413–428.
LibreCat
 
[351]
2009 | Journal Article | LibreCat-ID: 16162
Fober, T., Mernberger, M., Klebe, G., & Hüllermeier, E. (2009). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. Bioinformatics, 25(16), 2110–2117.
LibreCat
 
[350]
2009 | Journal Article | LibreCat-ID: 16163
Hühn, J., & Hüllermeier, E. (2009). FR3: A fuzzy rule learner for inducing reliable classifiers. IEEE Transactions on Fuzzy Systems, 17(1), 138–149.
LibreCat
 
[349]
2009 | Journal Article | LibreCat-ID: 16165
Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., & Stauch, E. (2009). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. Künstliche Intelligenz, 1(09), 24–29.
LibreCat
 
[348]
2009 | Book Chapter | LibreCat-ID: 10188
Hüllermeier, E. (2009). On the usefulness of fuzzy sets in data mining. In R. Seising (Ed.), Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications (pp. 457–470). Springer.
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[347]
2009 | Conference Paper | LibreCat-ID: 13595
Cheng, W., Hühn, J., & Hüllermeier, E. (2009). Decision tree and instance-based learning for label ranking. In in Proceedings ICML-2009, 26th International Conference on Machine Learning, Montreal, Canada (pp. 161–168).
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[346]
2009 | Conference Paper | LibreCat-ID: 13596
Fürnkranz, J., Hüllermeier, E., & Vanderlooy, S. (2009). 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.
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[345]
2009 | Conference Paper | LibreCat-ID: 13598
Cheng, W., & Hüllermeier, E. (2009). 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 (pp. 707–716). Springer.
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[344]
2008 | Conference Paper | LibreCat-ID: 15779
Hüllermeier, E., & Vanderlooy, S. (2008). Weighted voting as approximate MAP prediction in pairwise classification. In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany (pp. 34–41).
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[343]
2008 | Conference Paper | LibreCat-ID: 15780
Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction of multiple graph alignments for mining structured biomolecular data . In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany (pp. 27–33).
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[342]
2008 | Conference Paper | LibreCat-ID: 15781
Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In A. Beyer & M. Schroeder (Eds.), iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008 (pp. 44–53).
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[341]
2008 | Journal Article | LibreCat-ID: 16164
Hühn, J., & Hüllermeier, E. (2008). Is an ordinal class structure useful in classifier learning? International Journal of Data Mining, Modeling and Management , 1(1), 45–67.
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[340]
2008 | Journal Article | LibreCat-ID: 16166
Hüllermeier, E., Fürnkranz, J., Cheng, W., & Brinker, K. (2008). Label ranking by learning pairwise preferences. Artificial Intelligence, 172, 1897–1917.
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[339]
2008 | Journal Article | LibreCat-ID: 16167
Vanderlooy, S., & Hüllermeier, E. (2008). A critical analysis of variants of the AUC. Machine Learning, 72, 247–272.
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[338]
2008 | Journal Article | LibreCat-ID: 16168
Fürnkranz, J., Hüllermeier, E., Mencia, E., & Brinker, K. (2008). Multilabel classification via calibrated label ranking. Machine Learning, 73(2), 133–153.
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[337]
2008 | Journal Article | LibreCat-ID: 16169
Hüllermeier, E., & Brinker, K. (2008). Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems, 159(18), 2337–2352.
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[336]
2008 | Journal Article | LibreCat-ID: 16184
Beringer, J., & Hüllermeier, E. (2008). Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems, 23(10), 1119–1134.
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[335]
2008 | Book Chapter | LibreCat-ID: 16225
Hüllermeier, E. (2008). Granular computing in machine learning and data mining. In W. Pedrycz, A. Skowron, & V. Kreinovich (Eds.), Handbook on Granular Computing (pp. 889–906). John Wiley and Sons.
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[334]
2008 | Book Chapter | LibreCat-ID: 10154
Hüllermeier, E. (2008). Fuzzy methods in data mining. In Encyclopedia of Data Warehousing and Mining - Second Edition (pp. 907–912). Idea Group, Inc.,Hershey, USA.
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[333]
2008 | Book Chapter | LibreCat-ID: 10185
Hüllermeier, E., & Fürnkranz, J. (2008). Learning preference models from data: On the problem of label ranking and its variants. In G. Della Riccia, D. Dubois, R. Kruse, & H. J. Lenz (Eds.), Preferences and Similarities (pp. 283–304). Springer.
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[332]
2008 | Conference Paper | LibreCat-ID: 13599
Hüllermeier, E., Vladimirskiy, I., Prados Suarez, B., & Stauch, E. (2008). Supporting case-based retrieval by similarity skylines: Basic concepts and extensions. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 240–254).
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[331]
2008 | Conference Paper | LibreCat-ID: 13600
Cheng, W., & Hüllermeier, E. (2008). Learning similarity functions from qualitative feedback. In K. D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), in Proceedings ECCBR-2008 9th European Conference on Case-Based  Reasoning, Trier, Germany (pp. 120–134). Springer.
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[330]
2007 | Conference Paper | LibreCat-ID: 15782
Cheng, W., Hüllermeier, E., Seeger, B., & Vladimirskiy, I. (2007). Interactive ranking of skylines using machine learning techniques. In In Proceedings Workshop LWA-2007, Lernen-Wissensentdeckung-Adaptivität, Halle/Saale, Germany (pp. 141–148).
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[329]
2007 | Conference Paper | LibreCat-ID: 15783
Fober, T., Hüllermeier, E., & Mernberger, M. (2007). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In R. Mikut & M. Reischl (Eds.), in Proceedings 17th Workshop Computational Intelligence, Dortmund Germany (pp. 1–14).
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[328]
2007 | Conference Paper | LibreCat-ID: 15784
Vladimirskiy, I., Hüllermeier, E., & Stauch, E. (2007). Similarity search over uncertain archaeological data using a modified skyline operator. In D. C. Wilson & D. Khemani (Eds.), In Workshop Proceedings from ICCBR-2007 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (pp. 31–40).
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[327]
2007 | Conference Paper | LibreCat-ID: 14832
Hüllermeier, E., & Fürnkranz, J. (2007). On minimizing the position error in label ranking. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland, September 2007. Springer.
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[326]
2007 | Conference Paper | LibreCat-ID: 14833
Brinker, K., & Hüllermeier, E. (2007). Label ranking in case-based reasoning. In M. Richter & R. Weber (Eds.), In Proceedings ICCBR-2007, 7th International Conference on Case-Based Reasoning, Belfast, Northern Ireland (Vol. 4626, pp. 77–91). Springer.
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[325]
2007 | Conference Paper | LibreCat-ID: 14834
Beringer, J., & Hüllermeier, E. (2007). Efficient instance-based learning on data streams. In P. Perner (Ed.), In Proceedings ICDM-2007, International Conference on Industrial Data Mining, Leipzig (pp. 34–48). Springer.
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[324]
2007 | Conference Paper | LibreCat-ID: 14835
Brinker, K., & Hüllermeier, E. (2007). Case-based multilabel ranking. In in Proceedings IJCAI-07, 20th international Joint Conference on Artificial Intelligence, Hyerabad, India, January 2007 (pp. 701–707).
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[323]
2007 | Conference Paper | LibreCat-ID: 15197
Hüllermeier, E., & Brinker, K. (2007). 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 (Vol. 1, pp. 353–360).
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[322]
2007 | Conference Paper | LibreCat-ID: 15198
Beringer, J., & Hüllermeier, E. (2007). Adaptive optimization of the number of clusters in fuzzy clustering, London 2007. In in Proceedings FUZZ-IEEE-07, IEEE International Conference on Fuzzy Systems.
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[321]
2007 | Conference Paper | LibreCat-ID: 15199
Hüllermeier, E., Weskamp, N., Klebe, G., & Kuhn, D. (2007). 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.
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[320]
2007 | Journal Article | LibreCat-ID: 16170
Hüllermeier, E., & Yi, Y. (2007). In defense of fuzzy association analysis. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, 37(4), 1039–1043.
LibreCat
 
[319]
2007 | Journal Article | LibreCat-ID: 16171
Hüllermeier, E. (2007). Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering, 19(5), 847–858.
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[318]
2007 | Journal Article | LibreCat-ID: 16172
Beringer, J., & Hüllermeier, E. (2007). Efficient instance-based learning on data streams. Intelligent Data Analysis, 11(6), 627–650.
LibreCat
 
[317]
2007 | Journal Article | LibreCat-ID: 16175
Dubois, D., & Hüllermeier, E. (2007). Comparing probability measures using possibility theory: A notion of relative peakedness. International Journal of Approximate Reasoning, 45(2), 364–385.
LibreCat
 
[316]
2007 | Journal Article | LibreCat-ID: 16179
Weskamp, N., Hüllermeier, E., Kuhn, D., & Klebe, G. (2007). Multiple graph aligment for the structural analysis of protein active sites. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 4(2), 310–320.
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[315]
2007 | Journal Article | LibreCat-ID: 16194
Karimi, I., & Hüllermeier, E. (2007). Risk assessment for natural hazards: A new approach based on fuzzy probability. Fuzzy Sets and Systems, 158(9), 987–999.
LibreCat
 
[314]
2007 | Book Chapter | LibreCat-ID: 16224
Hüllermeier, E. (2007). Why fuzzy set theory is useful in data mining. In F. Masseglia, P. Poncelet, & M. Teisseire (Eds.), Successes and New Directions in Data Mining (pp. 1–16). Information Science Reference, Hershey, New York.
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[313]
2007 | Book Chapter | LibreCat-ID: 16226
Beringer, J., & Hüllermeier, E. (2007). Fuzzy clustering of parallel data streams. In J. Valente de Oliveira & W. Pedrycz (Eds.), Advances in Fuzzy Clustering and its Applications (pp. 333–352). John Wiley and Sons.
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[312]
2007 | Book Chapter | LibreCat-ID: 16227
Hüllermeier, E. (2007). Fuzzy methods for data mining and machine learning: State of the art and prospects. In Fuzzy Sets and their Extensions: Representation, Aggregation and Models (pp. 355–374). Springer.
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[311]
2007 | Book | LibreCat-ID: 16282
Hüllermeier, E. (2007). Case-based Approximate Reasoning (Vol. 44). Springer.
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[310]
2007 | Conference Paper | LibreCat-ID: 13601
Sulzmann, J. N., Fürnkranz, J., & Hüllermeier, E. (2007). On pairwise Naive Bayes classifiers. In In Proceedings ECML-2007, 17th European Conference on Machine Learning, Warsawa, Poland. Springer.
LibreCat
 
[309]
2006 | Conference Paper | LibreCat-ID: 15785
Beringer, J., & Hüllermeier, E. (2006). Adaptive optimization of the number of clusters in fuzzy clustering, Dortmund, Germany 2006. In R. Mikut & M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 140–149).
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[308]
2006 | Conference Paper | LibreCat-ID: 15786
Hüllermeier, E., & Brinker, K. (2006). Classification via fuzzy preference learning. In R. Mikut & M. Reischl (Eds.), in Proceedings 16th Workshop Computational Intelligence, Dortmund Germany (pp. 190–199).
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[307]
2006 | Conference Paper | LibreCat-ID: 15798
Hüllermeier, E. (2006). Credible case-based inference using similarity profiles. In M. Minor (Ed.), In Proceedings of ECCBR-2006 Workshops, 8th European Conference on Case-Based Reasoning, Ölüdeniz/Fethiye Turkey (pp. 230–242).
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[306]
2006 | Conference Paper | LibreCat-ID: 14836
Bade, K., Hüllermeier, E., & Nürnberger, A. (2006). Hierarchical classification by expected utility maximization. In In Proceedings ICDM-2006, IEEE International Conference on Data Mining (pp. 43–52). IEEE Computer Society Press.
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[305]
2006 | Conference Paper | LibreCat-ID: 14837
Brinker, K., & Hüllermeier, E. (2006). Case-based label ranking. In In Proceedings ECML-2006, 17th European Conference on Machine Learning, Berlin September 2006 (pp. 566–573). Springer.
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[304]
2006 | Conference Paper | LibreCat-ID: 14838
Brinker, K., Fuernkranz, J., & Hüllermeier, E. (2006). A unified model for multilabel classification and ranking. In G. Brewka, S. Coradeschi, A. Perini, & P. Traverso (Eds.), In Proceedings ECAI-2006, 17th European Conference on Artificial Inteligence, Riva del Garda, Italy (pp. 489–493).
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[303]
2006 | Conference Paper | LibreCat-ID: 15201
Hüllermeier, E. (2006). 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.
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[302]
2006 | Conference Paper | LibreCat-ID: 15213
Hüllermeier, E. (2006). The Choquet integral as an aggregation operator in case-based learning. In B. Reusch (Ed.), in Proceeding of the International Conference on Computational Intelligence, 9th Fuzzy Days, Dortmund (pp. 615–628). Springer.
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[301]
2006 | Journal Article | LibreCat-ID: 16173
Dubois, D., Hüllermeier, E., & Prade, H. (2006). A systematic approach to the assessment of fuzzy association rules. Data Mining and Knowledge Discovery, 13(2), 167–192.
LibreCat
 
[300]
2006 | Journal Article | LibreCat-ID: 16176
Dubois, D., Hüllermeier, E., & Prade, H. (2006). Fuzzy methods in case-based recommendation and decision support. Journal of Intelligent Information Systems, 27, 95–115.
LibreCat
 
[299]
2006 | Journal Article | LibreCat-ID: 16177
Hüllermeier, E., & Beringer, J. (2006). Learning from ambiguously labeled examples. Intelligent Data Analysis, 10(5), 419–440.
LibreCat
 
[298]
2006 | Journal Article | LibreCat-ID: 16180
Block, P., Paern, J., Hüllermeier, E., Sanschagrin, P., Sotriffer, C., & Klebe, G. (2006). Physicochemical descriptors to discriminate protein interactions in permanent and transient complexes by means of  machine learning algorithms. Proteins: Structure, Function and Bioinformatics, 65(3), 607–622.
LibreCat
 
[297]
2006 | Journal Article | LibreCat-ID: 16182
Kuhn, D., Weskamp, N., Schmitt, S., Hüllermeier, E., & Klebe, G. (2006). From the similarity analysis of protein cavities to the functional classification of protein families using Cavbase. Journal of Molecular Biology, 359(4), 1023–1044.
LibreCat
 
[296]
2006 | Journal Article | LibreCat-ID: 16183
Beringer, J., & Hüllermeier, E. (2006). Online clustering of parallel data streams. Data and Knowledge Engineering, 58(2), 180–204.
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[295]
2006 | Journal Article | LibreCat-ID: 16195
Karimi, I., Hüllermeier, E., & Meskouris, K. (2006). A fuzzy-probablistic earthquake risk assessment system. Soft Computing, 11(3), 229–238.
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[294]
2005 | Conference Paper | LibreCat-ID: 15799
Brinker, K., & Hüllermeier, E. (2005). Calibrated label-ranking. In S. Agarwal, C. Cortes, & R. Herbrich (Eds.), In Proceedings of the NIPS-2005 Workshop on Learning to Rank, Whistler, BC, Canada (pp. 1–6). http://web.mit.edu/shivani/www/Ranking-NIPS-05/.
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[293]
2005 | Conference Paper | LibreCat-ID: 15800
Hüllermeier, E., Fürnkranz, J., & Beringer, J. (2005). On position error and label ranking through iterated choice. In In Proceedings LWA/FGML-2005, German Workshop on Machine Learning, Saarbrücken, Germany (pp. 158–163).
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[292]
2005 | Conference Paper | LibreCat-ID: 14839
Hüllermeier, E., & NN, C. (2005). A method for combining interacting pieces of evidence in case-based learning. In L. Kaelbling & A. Saffiotti (Eds.), in Proceedings IJCAI-05, 19th international Joint Conference on Artificial Intelligence, Edingburgh, Scotland (pp. 3–8).
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[291]
2005 | Conference Paper | LibreCat-ID: 14840
Hüllermeier, E., & Fürnkranz, J. (2005). Learning label preferences: Ranking error versus position error. In A. Famili, J. Kok, J. Pena, A. Siebes, & A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 180–191). Springer.
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[290]
2005 | Conference Paper | LibreCat-ID: 14841
Hüllermeier, E., & Beringer, J. (2005). Learning from ambiguously labeled examples. In A. Famili, J. Kok, J. Pena, A. Siebes, & A. Feelders (Eds.), In Proceedings IDA-2005, 6th International Symposium on Intelligent Data Analysis, Madrid (Vol. 3646, pp. 168–179). Springer.
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[289]
2005 | Conference Paper | LibreCat-ID: 15105
Dubois, D., & Hüllermeier, E. (2005). 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.
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[288]
2005 | Conference Paper | LibreCat-ID: 15214
Karimi, I., & Hüllermeier, E. (2005). 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 (pp. 1147–1153).
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[287]
2005 | Conference Paper | LibreCat-ID: 15215
Lughofer, E., Hüllermeier, E., & Klement, E. (2005). 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.
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[286]
2005 | Conference Paper | LibreCat-ID: 15216
Yi, Y., & Hüllermeier, E. (2005). 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.
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[285]
2005 | Journal Article | LibreCat-ID: 16174
Hüllermeier, E. (2005). Fuzzy sets in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems, 156(3), 387–406.
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[284]
2005 | Journal Article | LibreCat-ID: 16178
Hüllermeier, E. (2005). Experience-based decision making: A satisficing decision tree approach. IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, 35(5), 641–653.
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[283]
2005 | Journal Article | LibreCat-ID: 16181
Balasubramaniyan, R., Hüllermeier, E., Weskamp, N., & Kämper, J. (2005). Clustering of gene expression data using a local shape-based similarity measure. Bioinformatics, 21(7), 1069–1077.
LibreCat
 
[282]
2004 | Conference Paper | LibreCat-ID: 15801
Dubois, D., Hüllermeier, E., & Prade, H. (2004). A systematic approach to the assessment of fuzzy association rules. In J. Cubero, D. Sanchez, Z. Ras, & T. Sudkamp (Eds.), In Proceedings of the Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, IEEE International Conference on Data Mining, Brighton, UK.
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[281]
2004 | Conference Paper | LibreCat-ID: 15804
Weskamp, N., Hüllermeier, E., Kuhn, D., & Klebe, G. (2004). Graph alignments: A new concept to detect conserved regions in protein active sites. In R. Giegerich & J. Stoye (Eds.), In Proceedings of GCB-2004 of the German Conference on Bioinformatics, Bielefeld, Germany (pp. 131–140). Springer.
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[280]
2004 | Conference Paper | LibreCat-ID: 14842
Hüllermeier, E. (2004). Instance-based prediction with guaranteed confidence. In R. Lopez de Mantaras & L. Saitta (Eds.), In Proceedings ECAI-2004, 16th European Conference on Artificial Inteligence, Valencia, Spain (pp. 97–101). IOS Press.
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[279]
2004 | Conference Paper | LibreCat-ID: 15217
Hüllermeier, E., & Fürnkranz, J. (2004). 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.
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[278]
2004 | Conference Paper | LibreCat-ID: 15218
Hüllermeier, E., & Fürnkranz, J. (2004). Ranking by pairwise comparison: A note on risk minimization. In in Proceedings FUZZ-IEEE-04, IEEE International Conference on Fuzzy Systems, Budapest, Hungary.
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[277]
2004 | Conference Paper | LibreCat-ID: 15219
Karimi, I., Hüllermeier, E., & Meskouris, K. (2004). An earthquake risk assessment method based on fuzzy probability. In in Proceedings 6th International FLINS Conference on Applied  Computational Intelligence, Duinse Polders, Blankenberg,Belgien.
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[276]
2004 | Conference Paper | LibreCat-ID: 15220
Hüllermeier, E., & Beringer, J. (2004). 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.
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[275]
2004 | Journal Article | LibreCat-ID: 16185
Hüllermeier, E., Renners, I., & Grauel, A. (2004). An evolutionary approach to constraints-regularized learning. Mathware and Soft Computing, 11(2–3), 109–124.
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[274]
2004 | Journal Article | LibreCat-ID: 16186
Weskamp, N., Kuhn, D., Hüllermeier, E., & Klebe, G. (2004). Efficient similarity search in protein structure databases: Improving clique-detection through clique-hashing. Bioinformatics, 20(10), 1522–1526.
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[273]
2004 | Journal Article | LibreCat-ID: 16187
Hüllermeier, E. (2004). Flexible constraints for regularization in learning from data. International Journal of Intelligent Systems, 19(6), 525–541.
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[272]
2003 | Conference Paper | LibreCat-ID: 15802
Weskamp, N., Kuhn, D., Hüllermeier, E., & Klebe, G. (2003). Efficient similarity search in protein structure databases: Improving clique-detection through geometric hashing. In In Proceedings GCB-2003 German Conference on Bioinformatics, Munich, Germany.
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[271]
2003 | Conference Paper | LibreCat-ID: 15803
Hüllermeier, E. (2003). Instance-based learning of credible label sets. In A. Günter, R. Kruse, & B. Neumann (Eds.), In Proceedings KI-2003, 26th German Conference on Artificial Intelligence, Hamburg, Germany. Springer.
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[270]
2003 | Conference Paper | LibreCat-ID: 15065
Hüllermeier, E. (2003). Regularized learning with flexible constraints. In M. R. Berthold, H. J. Lenz, E. Bradley, R. Kruse, & C. Borgelt (Eds.), In Proceddings IDA-03, 5th International Symposium on Intelligent Data Anaysis (Vol. 2810). Springer.
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[269]
2003 | Conference Paper | LibreCat-ID: 15066
Fürnkranz, J., & Hüllermeier, E. (2003). Pairwise preference learning and ranking. In In Proceedings ECML-2003, 13 th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia. Springer.
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[268]
2003 | Conference Paper | LibreCat-ID: 15221
Hüllermeier, E. (2003). 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 (pp. 468–473).
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[267]
2003 | Conference Paper | LibreCat-ID: 15222
Dubois, D., Hüllermeier, E., & Prade, H. (2003). A note on quality measures for fuzzy association rules. In T. Bilgic, B. De Beats, & O. Kaynak (Eds.), in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey (Vol. 2715, pp. 648–677). Springer.
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[266]
2003 | Conference Paper | LibreCat-ID: 15223
Hüllermeier, E. (2003). Inducing fuzzy concepts through extended version space learning. In T. Bilgic, B. De Beats, & O. Kaynak (Eds.), in Proceedings IFSA-03 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey (Vol. 2715, pp. 648–677). Springer.
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[265]
2003 | Journal Article | LibreCat-ID: 16188
Hüllermeier, E. (2003). Possibilistic instance-based learning. Artificial Intelligence, 148(1–2), 335–383.
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[264]
2003 | Journal Article | LibreCat-ID: 16189
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2003). Flexibility and case-based evaluation in querying: An Illustration in an experimental setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(1), 43–66.
LibreCat
 
[263]
2003 | Journal Article | LibreCat-ID: 16190
Dubois, D., Hüllermeier, E., & Prade, H. (2003). On the representation of fuzzy rules in terms of crisp rules. Information Sciences, 151, 301–326.
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[262]
2003 | Book Chapter | LibreCat-ID: 16228
Hüllermeier, E. (2003). Sequential decision making in heuristic search. In G. Della Riccia, D. Dubois, R. Kruse, & H. J. Lenz (Eds.), Planning Based on Decision Theory (CISM Courses and Lectures No.472). Springer.
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[261]
2003 | Book Chapter | LibreCat-ID: 16229
Dubois, D., Hüllermeier, E., & Prade, H. (2003). Possibilistic case-based decisions. In C. Lesage & M. Cottrell (Eds.), Connectionist Approaches in Economics and Management  Sciences (Vol. 6). Kluwer.
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[260]
2003 | Book Chapter | LibreCat-ID: 16230
Hüllermeier, E., & Beringer, J. (2003). Mining implication-based fuzzy association rules in databases. In B. Bouchon-Meunier, L. Foulloy, & R. R. . Yager (Eds.), Intelligent Systems for information processing: From representation to applications. Elsevier.
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[259]
2002 | Conference Paper | LibreCat-ID: 14843
Hüllermeier, E. (2002). On the representation and combination of evidence in instance-based learning. In In Proceedings ECAI-2002, 15th European Conference on Artificial Intelligence, Lyon, France (pp. 360–364). IOS Press.
LibreCat
 
[258]
2002 | Conference Paper | LibreCat-ID: 15064
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2002). A fuzzy set approach to flexible case-based querying: methodology and experimentation. In D. Fensel, F. Giunchiglia, D. Mc Guinness, & M. A. Williams (Eds.), in Proceedings KR-02, 8th International Conference on Principles of Knowledge Representation and Reasoning, France (pp. 449–458). Morgan Kaufmann.
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[257]
2002 | Conference Paper | LibreCat-ID: 15098
Hüllermeier, E. (2002). 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 (pp. 200–211). Springer.
LibreCat
 
[256]
2002 | Conference Paper | LibreCat-ID: 15101
Hüllermeier, E. (2002). Possibilistic induction in decision tree learning. In in Proceedings ECML-02, 13th European Conference on Machine Learning, Helsinki Finland (pp. 173–184). Springer.
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[255]
2002 | Conference Paper | LibreCat-ID: 15226
Hüllermeier, E. (2002). 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 (pp. 101–108).
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[254]
2002 | Conference Paper | LibreCat-ID: 15227
Hüllermeier, E. (2002). Exploiting similarity and experience in decision making. In in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii (pp. 729–734).
LibreCat
 
[253]
2002 | Conference Paper | LibreCat-ID: 15228
De Calmès, M., Dubois, D., Hüllermeier, E., Prade, H., & Sèdes, F. (2002). Case-based quering and prediction: A fuzzy set approach. In in Proceedings FUZZ-IEEE-02, IEEE International Conference on Fuzzy Systems, Honolulu, Hawaii (pp. 735–740).
LibreCat
 
[252]
2002 | Journal Article | LibreCat-ID: 16191
Hüllermeier, E., Dubois, D., & Prade, H. (2002). Model adaption in possibilistic instance-based reasoning. IEEE Transactions on Fuzzy Systems, 10(3), 333–339.
LibreCat
 
[251]
2002 | Journal Article | LibreCat-ID: 16192
Dubois, D., Hüllermeier, E., & Prade, H. (2002). Fuzzy set-based methods in instance-based reasoning. IEEE Transactions on Fuzzy Systems, 10(3), 322–332.
LibreCat
 
[250]
2002 | Book Chapter | LibreCat-ID: 16232
Hüllermeier, E., Dubois, D., & Prade, H. (2002). Knowledge-based extrapolation of cases: A possibilistic approach. In B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, & R. R. Yager (Eds.), Technologies for Constructing Intelligent Systems (pp. 377–390). Springer.
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[249]
2001 | Conference Paper | LibreCat-ID: 15300
Hüllermeier, E. (2001). Experience-based decision making and learning from examples. In In Proceedings SOR-01 Symposium on Operations Research, Duisburg, Germany. Springer.
LibreCat
 
[248]
2001 | Conference Paper | LibreCat-ID: 15805
Hüllermeier, E. (2001). Possibilistic instance-based learning. In In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany (pp. 108–115).
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[247]
2001 | Conference Paper | LibreCat-ID: 15806
Hüllermeier, E. (2001). Implication-based fuzzy association rules. In In Proceedings FGML-2001 German Workshop on Machine Learning, Dortmund, Germany (pp. 93–99).
LibreCat
 
[246]
2001 | Conference Paper | LibreCat-ID: 15807
Hüllermeier, E., Dubois, D., & Prade, H. (2001). Instance-based prediction in the framework of possibility theory. In In Proceedings of Workshop on Soft Computing in Case-Based Reasoning, Vancouver, Canada.
LibreCat
 
[245]
2001 | Conference Paper | LibreCat-ID: 15106
Hüllermeier, E. (2001). Implication-based fuzzy association rules. In D. Raedt & A. Siebes (Eds.), in Proceedings PKDD-01  5th European Conference on Principles and Practise of Knowledge Discovery in Databases, Freiburg, Germany (Vol. 2168, pp. 241–252). Springer.
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[244]
2001 | Conference Paper | LibreCat-ID: 15229
Hüllermeier, E. (2001). Fuzzy association rules: Semantic issues and quality measures. In B. Reusch (Ed.), in Proceedings of the International Conference on Computational Intelligence 7th Fuzzy Days, Dortmund, Germany (Vol. 2206, pp. 380–391). Springer.
LibreCat
 
[243]
2001 | Conference Paper | LibreCat-ID: 15230
Dubois, D., Hüllermeier, E., & Prade, H. (2001). 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 (pp. 1592–1597).
LibreCat
 
[242]
2001 | Journal Article | LibreCat-ID: 16193
Hüllermeier, E. (2001). Similarity-based inference as evidential reasoning. International Journal of Approximate Reasoning, 26, 67–100.
LibreCat
 
[241]
2001 | Book Chapter | LibreCat-ID: 16231
Hüllermeier, E. (2001). Machinelles Lernen und Komplexität. In F. Haslinger & P. Weise (Eds.), Ökonomie und Gesellschaft, Jahrbuch 17: Komplexität und Lernen (pp. 255–288). Metropolis.
LibreCat
 
[240]
2001 | Book Chapter | LibreCat-ID: 16233
Kraft, M., Hüllermeier, E., & Weise, P. (2001). Empirische  Überprüfung eines synergetischen Konjunkturmodells. In H.-W. Lorenz & B. Meyer (Eds.), Studien zur Evoltorischen Ökonomik IV (pp. 11–44). Duncker & Humblot, Berlin.
LibreCat
 

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