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Eyke Hüllermeier Vis

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*2010
95EEEyke Hüllermeier, Stijn Vanderlooy: Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting. Pattern Recognition 43(1): 128-142 (2010)
2009
94EEJohannes Fürnkranz, Eyke Hüllermeier, Stijn Vanderlooy: Binary Decomposition Methods for Multipartite Ranking. ECML/PKDD (1) 2009: 359-374
93EEWeiwei Cheng, Eyke Hüllermeier: Combining Instance-Based Learning and Logistic Regression for Multilabel Classification. ECML/PKDD (1) 2009: 6
92EEWeiwei Cheng, Jens C. Huhn, Eyke Hüllermeier: Decision tree and instance-based learning for label ranking. ICML 2009: 21
91EEWeiwei Cheng, Eyke Hüllermeier: A New Instance-Based Label Ranking Approach Using the Mallows Model. ISNN (1) 2009: 707-716
90EEThomas Fober, Marco Mernberger, Gerhard Klebe, Eyke Hüllermeier: Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. Bioinformatics 25(16): 2110-2117 (2009)
89EEEyke Hüllermeier, Michael M. Richter, Rosina Weber: Prelude to the papers "Fuzzy case based reasoning for facial expression recognition" and "Temporal similarity by measuring possibilistic uncertainty in CBR". Fuzzy Sets and Systems 160(2): 212-213 (2009)
88EEJens C. Huhn, Eyke Hüllermeier: FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers. IEEE T. Fuzzy Systems 17(1): 138-149 (2009)
87EEEyke Hüllermeier, Ilya Vladimirskiy, Belén Prados-Suárez, Eva Stauch: Supporting Case-Based Retrieval by Similarity Skyline. KI 23(1): 24-29 (2009)
2008
86EEWeiwei Cheng, Eyke Hüllermeier: Learning Similarity Functions from Qualitative Feedback. ECCBR 2008: 120-134
85EEEyke Hüllermeier, Ilya Vladimirskiy, Belén Prados-Suárez, Eva Stauch: Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions. ECCBR 2008: 240-254
84 Eyke Hüllermeier, Michael M. Richter, Rosina Weber, Kerstin Bach, Miltos Petridis: Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR. ECCBR Workshops 2008: 117-118
83 Weiwei Cheng, Eyke Hüllermeier: Instance-Based Label Ranking using the Mallows Model. ECCBR Workshops 2008: 143-157
82EEStijn Vanderlooy, Eyke Hüllermeier: A Critical Analysis of Variants of the AUC. ECML/PKDD (1) 2008: 13
81 Thomas Fober, Eyke Hüllermeier, Marco Mernberger: Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules. German Conference on Bioinformatics 2008: 44-53
80 Thomas Fober, Eyke Hüllermeier, Marco Mernberger: Evolutionary Construction of Multiple Graph Alignments for Mining Structured Biomolecular Data. LWA 2008: 27-33
79 Eyke Hüllermeier, Stijn Vanderlooy: Weighted Voting as Approximate MAP Prediction in Pairwise Classification. LWA 2008: 34-41
78EEEyke Hüllermeier: Fuzzy Methods for Data Mining and Machine Learning: State ofthe Art and Prospects. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 357-375
77EEEyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng, Klaus Brinker: Label ranking by learning pairwise preferences. Artif. Intell. 172(16-17): 1897-1916 (2008)
76EEEyke Hüllermeier, Klaus Brinker: Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems 159(18): 2337-2352 (2008)
75EEJens C. Huhn, Eyke Hüllermeier: Is an ordinal class structure useful in classifier learning? IJDMMM 1(1): 45-67 (2008)
74EEJürgen Beringer, Eyke Hüllermeier: Case-based learning in a bipolar possibilistic framework. Int. J. Intell. Syst. 23(10): 1119-1134 (2008)
73EEStijn Vanderlooy, Eyke Hüllermeier: A critical analysis of variants of the AUC. Machine Learning 72(3): 247-262 (2008)
72EEJohannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Klaus Brinker: Multilabel classification via calibrated label ranking. Machine Learning 73(2): 133-153 (2008)
2007
71 Eyke Hüllermeier: Case-Based Approximate Reasoning Springer 2007
70EEJan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier: On Pairwise Naive Bayes Classifiers. ECML 2007: 371-381
69EEEyke Hüllermeier, Johannes Fürnkranz: On Minimizing the Position Error in Label Ranking. ECML 2007: 583-590
68EEEyke Hüllermeier, Klaus Brinker: Fuzzy-Relational Classification: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling. EUSFLAT Conf. (1) 2007: 353-360
67EEJürgen Beringer, Eyke Hüllermeier: Adaptive Optimization of the Number of Clusters in Fuzzy Clustering. FUZZ-IEEE 2007: 1-6
66EEEyke Hüllermeier, Nils Weskamp, Gerhard Klebe, Daniel Kuhn: Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites. FUZZ-IEEE 2007: 1-6
65EEKlaus Brinker, Eyke Hüllermeier: Label Ranking in Case-Based Reasoning. ICCBR 2007: 77-91
64EEKlaus Brinker, Eyke Hüllermeier: Case-Based Multilabel Ranking. IJCAI 2007: 702-707
63EEJürgen Beringer, Eyke Hüllermeier: An Efficient Algorithm for Instance-Based Learning on Data Streams. Industrial Conference on Data Mining 2007: 34-48
62 Weiwei Cheng, Eyke Hüllermeier, Bernhard Seeger, Ilya Vladimirskiy: Interactive Ranking of Skylines Using Machine Learning Techniques. LWA 2007: 141-148
61EEIman Karimi, Eyke Hüllermeier: Risk assessment system of natural hazards: A new approach based on fuzzy probability. Fuzzy Sets and Systems 158(9): 987-999 (2007)
60EEEyke Hüllermeier: Credible Case-Based Inference Using Similarity Profiles. IEEE Trans. Knowl. Data Eng. 19(6): 847-858 (2007)
59EEEyke Hüllermeier, Y. Yi: In Defense of Fuzzy Association Analysis. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(4): 1039-1043 (2007)
58EENils Weskamp, Eyke Hüllermeier, Daniel Kuhn, Gerhard Klebe: Multiple Graph Alignment for the Structural Analysis of Protein Active Sites. IEEE/ACM Trans. Comput. Biology Bioinform. 4(2): 310-320 (2007)
57EEDidier Dubois, Eyke Hüllermeier: Comparing probability measures using possibility theory: A notion of relative peakedness. Int. J. Approx. Reasoning 45(2): 364-385 (2007)
56EEJürgen Beringer, Eyke Hüllermeier: Efficient instance-based learning on data streams. Intell. Data Anal. 11(6): 627-650 (2007)
55EEEyke Hüllermeier, Frank Klawonn, Andreas Nürnberger: Editorial. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(5): (2007)
54EEIman Karimi, Eyke Hüllermeier, Konstantin Meskouris: A fuzzy-probabilistic earthquake risk assessment system. Soft Comput. 11(3): 229-238 (2007)
53EEUlrich Bodenhofer, Eyke Hüllermeier, Frank Klawonn, Rudolf Kruse: Special Issue on Soft Computing for Information Mining. Soft Comput. 11(5): 397-399 (2007)
2006
52 Klaus Brinker, Johannes Fürnkranz, Eyke Hüllermeier: A Unified Model for Multilabel Classification and Ranking. ECAI 2006: 489-493
51EEKlaus Brinker, Eyke Hüllermeier: Case-Based Label Ranking. ECML 2006: 566-573
50EEKorinna Bade, Eyke Hüllermeier, Andreas Nürnberger: Hierarchical Classification by Expected Utility Maximization. ICDM 2006: 43-52
49EEJürgen Beringer, Eyke Hüllermeier: Online clustering of parallel data streams. Data Knowl. Eng. 58(2): 180-204 (2006)
48EEDidier Dubois, Eyke Hüllermeier, Henri Prade: A systematic approach to the assessment of fuzzy association rules. Data Min. Knowl. Discov. 13(2): 167-192 (2006)
47EEEyke Hüllermeier, Jürgen Beringer: Learning from ambiguously labeled examples. Intell. Data Anal. 10(5): 419-439 (2006)
46EEDidier Dubois, Eyke Hüllermeier, Henri Prade: Fuzzy methods for case-based recommendation and decision support. J. Intell. Inf. Syst. 27(2): 95-115 (2006)
2005
45EEDidier Dubois, Eyke Hüllermeier: A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering. ECSQARU 2005: 848-859
44EEEdwin Lughofer, Eyke Hüllermeier, Erich-Peter Klement: Improving the interpretability of data-driven evolving fuzzy systems. EUSFLAT Conf. 2005: 28-33
43EEYu Yi, Eyke Hüllermeier: Learning Complexity-Bounded Rule-Based Classifiers by Combining. Association Analysis and Genetic Algorithms. EUSFLAT Conf. 2005: 47-52
42EEEyke Hüllermeier, Jürgen Beringer: Learning from Ambiguously Labeled Examples. IDA 2005: 168-179
41EEEyke Hüllermeier, Johannes Fürnkranz: Learning Label Preferences: Ranking Error Versus Position Error. IDA 2005: 180-191
40EEEyke Hüllermeier: Cho-k-NN: A Method for Combining Interacting Pieces of Evidence in Case-Based Learning. IJCAI 2005: 3-8
39 Eyke Hüllermeier, Johannes Fürnkranz, Jürgen Beringer: On Position Error and Label Ranking through Iterated Choice. LWA 2005: 158-163
38EERajarajeswari Balasubramaniyan, Eyke Hüllermeier, Nils Weskamp, Jörg Kämper: Clustering of gene expression data using a local shape-based similarity measure. Bioinformatics 21(7): 1069-1077 (2005)
37EEEyke Hüllermeier: Special issue on fuzzy sets in knowledge discovery. Fuzzy Sets and Systems 149(1): 1-3 (2005)
36EEEyke Hüllermeier: Fuzzy methods in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems 156(3): 387-406 (2005)
35EEEyke Hüllermeier: Experience-Based Decision Making: A Satisficing Decision Tree Approach. IEEE Transactions on Systems, Man, and Cybernetics, Part A 35(5): 641-653 (2005)
34EEJohannes Fürnkranz, Eyke Hüllermeier: Preference Learning. KI 19(1): 60- (2005)
2004
33 Eyke Hüllermeier: Instance-Based Prediction with Guaranteed Confidence. ECAI 2004: 97-101
32EEEyke Hüllermeier: Fuzzy Methods in Knowledge Discovery. Fuzzy Days 2004: 483
31 Nils Weskamp, Eyke Hüllermeier, Daniel Kuhn, Gerhard Klebe: Graph Alignments: A New Concept to Detect Conserved Regions in Protein Active Sites. German Conference on Bioinformatics 2004: 131-140
30EENils Weskamp, Daniel Kuhn, Eyke Hüllermeier, Gerhard Klebe: Efficient similarity search in protein structure databases by k-clique hashing. Bioinformatics 20(10): 1522-1526 (2004)
29EEEyke Hüllermeier: Flexible constraints for regularization in learning from data. Int. J. Intell. Syst. 19(6): 525-541 (2004)
28EEEyke Hüllermeier: 26. Jahrestagung Künstliche Intelligenz (KI-2003). KI 18(1): 70- (2004)
2003
27EEJohannes Fürnkranz, Eyke Hüllermeier: Pairwise Preference Learning and Ranking. ECML 2003: 145-156
26EEEyke Hüllermeier: Instance-based collaborative filtering with fuzzy labels. EUSFLAT Conf. 2003: 468-473
25 Nils Weskamp, Daniel Kuhn, Eyke Hüllermeier, Gerhard Klebe: Efficient Similarity Search in Protein Structure Databases: Improving Cliqae-Detection through Clique Hashing. German Conference on Bioinformatics 2003: 179-184
24EEEyke Hüllermeier: Regularized Learning with Flexible Constraints. IDA 2003: 13-24
23EEDidier Dubois, Eyke Hüllermeier, Henri Prade: A Note on Quality Measures for Fuzzy Asscociation Rules. IFSA 2003: 346-353
22EEEyke Hüllermeier: Inducing Fuzzy Concepts through Extended Version Space Learning. IFSA 2003: 677-684
21EEEyke Hüllermeier: Instance-Based Learning of Credible Label Sets. KI 2003: 450-464
20EEEyke Hüllermeier: Possibilistic instance-based learning. Artif. Intell. 148(1-2): 335-383 (2003)
19EEDidier Dubois, Eyke Hüllermeier, Henri Prade: On the representation of fuzzy rules in terms of crisp rules. Inf. Sci. 151: 301-326 (2003)
18EEMartine de Calmès, Didier Dubois, Eyke Hüllermeier, Henri Prade, Florence Sedes: Flexibility and Fuzzy Case-Based Evaluation in Querying: An Illustration in an Experimental Setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11(1): 43-66 (2003)
2002
17 Eyke Hüllermeier: On the Representation and Combination of Evidence in Instance-Based Learning. ECAI 2002: 360-364
16EEEyke Hüllermeier: Possibilistic Induction in Decision-Tree Learning. ECML 2002: 173-184
15 Martine de Calmès, Didier Dubois, Eyke Hüllermeier, Henri Prade, Florence Sedes: A Fuzzy Approach to Flexible Case-based Querying: Methodology and Experimentation. KR 2002: 449-458
14EEEyke Hüllermeier: Association Rules for Expressing Gradual Dependencies. PKDD 2002: 200-211
2001
13EEEyke Hüllermeier: Fuzzy Association Rules: Semantic Issues and Quality Measures. Fuzzy Days 2001: 380-391
12EEEyke Hüllermeier: Implication-Based Fuzzy Association Rules. PKDD 2001: 241-252
11EEEyke Hüllermeier: Similarity-based inference as evidential reasoning. Int. J. Approx. Reasoning 26(2): 67-100 (2001)
2000
10 Eyke Hüllermeier: Change Detection in Heuristic Search. AAAI/IAAI 2000: 898-903
9 Eyke Hüllermeier: Focusing Search by Using Problem Solving Experience. ECAI 2000: 50-54
8 Eyke Hüllermeier: Similarity-based Inference as Evitential Reasoning. ECAI 2000: 55-59
7EEEyke Hüllermeier: A Method for Predicting Solutions in Case-Based Problem Solving. EWCBR 2000: 124-135
6EEDidier Dubois, Eyke Hüllermeier, Henri Prade: Flexible Control of Case-Based Prediction in the Framework of Possibility Theory. EWCBR 2000: 61-73
1999
5 Eyke Hüllermeier: A Possibilistic Formalization of Case-Based Reasoning and Decision Making. Fuzzy Days 1999: 411-420
4EEEyke Hüllermeier: Exploiting Similarity for Supporting Data Analysis and Problem Solving. IDA 1999: 257-268
3 Eyke Hüllermeier: Toward a Probabilistic Formalization of Case-Based Inference. IJCAI 1999: 248-253
2EEEyke Hüllermeier: Numerical Methods for Fuzzy Initial Value Problems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 7(5): 439-461 (1999)
1997
1EEEyke Hüllermeier: An Approach to Modelling and Simulation of Uncertain Dynamical Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 5(2): 117-138 (1997)

Coauthor Index

1Kerstin Bach [84]
2Korinna Bade [50]
3Rajarajeswari Balasubramaniyan [38]
4Jürgen Beringer [39] [42] [47] [49] [56] [63] [67] [74]
5Ulrich Bodenhofer [53]
6Klaus Brinker [51] [52] [64] [65] [68] [72] [76] [77]
7Martine de Calmès [15] [18]
8Weiwei Cheng [62] [77] [83] [86] [91] [92] [93]
9Didier Dubois [6] [15] [18] [19] [23] [45] [46] [48] [57]
10Thomas Fober [80] [81] [90]
11Johannes Fürnkranz [27] [34] [39] [41] [52] [69] [70] [72] [77] [94]
12Jens C. Huhn [75] [88] [92]
13Jörg Kämper [38]
14Iman Karimi [54] [61]
15Frank Klawonn [53] [55]
16Gerhard Klebe [25] [30] [31] [58] [66] [90]
17Erich-Peter Klement [44]
18Rudolf Kruse [53]
19Daniel Kuhn [25] [30] [31] [58] [66]
20Edwin Lughofer [44]
21Eneldo Loza Mencía [72]
22Marco Mernberger [80] [81] [90]
23Konstantin Meskouris [54]
24Andreas Nürnberger [50] [55]
25Miltos Petridis [84]
26Henri Prade [6] [15] [18] [19] [23] [46] [48]
27Belén Prados-Suárez [85] [87]
28Michael M. Richter [84] [89]
29Florence Sedes [15] [18]
30Bernhard Seeger [62]
31Eva Stauch [85] [87]
32Jan-Nikolas Sulzmann [70]
33Stijn Vanderlooy [73] [79] [82] [94] [95]
34Ilya Vladimirskiy [62] [85] [87]
35Rosina O. Weber (Rosina Weber, Rosina Weber-Lee) [84] [89]
36Nils Weskamp [25] [30] [31] [38] [58] [66]
37Y. Yi [59]
38Yu Yi [43]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)