Eyke Hüllermeier

	2012
135		Eyke Hüllermeier: Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies. Combining Experimentation and Theory 2012: 123-135
	2011
134		Eyke Hüllermeier, Johannes Fürnkranz: Learning from Label Preferences. ALT 2011: 38
133		Eyke Hüllermeier, Johannes Fürnkranz: Learning from Label Preferences. Discovery Science 2011: 2-17
132		Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park: Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning. ECML/PKDD (1) 2011: 312-327
131		Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier: Learning Monotone Nonlinear Models Using the Choquet Integral. ECML/PKDD (3) 2011: 414-429
130		Eyke Hüllermeier, Patrice Schlegel: Preference-Based CBR: First Steps toward a Methodological Framework. ICCBR 2011: 77-91
129		Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier: Bipartite Ranking through Minimization of Univariate Loss. ICML 2011: 1113-1120
128		Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier: An Exact Algorithm for F-Measure Maximization. NIPS 2011: 1404-1412
127		Eyke Hüllermeier: Fuzzy sets in machine learning and data mining. Appl. Soft Comput. 11(2): 1493-1505 (2011)
126		Carmel Domshlak, Eyke Hüllermeier, Souhila Kaci, Henri Prade: Preferences in AI: An overview. Artif. Intell. 175(7-8): 1037-1052 (2011)
125		Weiwei Cheng, Eyke Hüllermeier: Label Ranking with Abstention: Predicting Partial Orders by Thresholding Probability Distributions (Extended Abstract) CoRR abs/1112.0508: (2011)
124		Robin Senge, Eyke Hüllermeier: Top-Down Induction of Fuzzy Pattern Trees. IEEE T. Fuzzy Systems 19(2): 241-252 (2011)
123		Marco Mernberger, Gerhard Klebe, Eyke Hüllermeier: SEGA: Semiglobal Graph Alignment for Structure-Based Protein Comparison. IEEE/ACM Trans. Comput. Biology Bioinform. 8(5): 1330-1343 (2011)
122		Thomas Fober, Gerghei Glinca, Gerhard Klebe, Eyke Hüllermeier: Superposition and Alignment of Labeled Point Clouds. IEEE/ACM Trans. Comput. Biology Bioinform. 8(6): 1653-1666 (2011)
121		Eyke Hüllermeier: Fuzzy machine learning and data mining. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(4): 269-283 (2011)
	2010
120		Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann: Computational Intelligence for Knowledge-Based Systems Design, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings Springer 2010
119		Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods - 13th International Conference, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, Part I Springer 2010
118		Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 13th International Conference, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, Part II Springer 2010
117		Weiwei Cheng, Michaël Rademaker, Bernard De Baets, Eyke Hüllermeier: Predicting Partial Orders: Ranking with Abstention. ECML/PKDD (1) 2010: 215-230
116		Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier: Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss. ECML/PKDD (1) 2010: 280-295
115		Robin Senge, Eyke Hüllermeier: Pattern trees for regression and fuzzy systems modeling. FUZZ-IEEE 2010: 1-7
114		Thomas Fober, Eyke Hüllermeier: Similarity measures for protein structures based on fuzzy histogram comparison. FUZZ-IEEE 2010: 1-7
113		Thomas Fober, Marco Mernberger, Gerhard Klebe, Eyke Hüllermeier: Efficient Similarity Retrieval of Protein Binding Sites based on Histogram Comparison. GCB 2010: 51-59
112		Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier: Label Ranking Methods based on the Plackett-Luce Model. ICML 2010: 215-222
111		Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier: Graded Multilabel Classification: The Ordinal Case. ICML 2010: 223-230
110		Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier: Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. ICML 2010: 279-286
109		Eyke Hüllermeier: Uncertainty in Clustering and Classification. SUM 2010: 16-19
108		Jens Christian Hühn, Eyke Hüllermeier: An Analysis of the FURIA Algorithm for Fuzzy Rule Induction. Advances in Machine Learning I 2010: 321-344
107		Johannes Fürnkranz, Eyke Hüllermeier: Preference Learning. Encyclopedia of Machine Learning 2010: 789-795
106		Eyke Hüllermeier, Johannes Fürnkranz: On predictive accuracy and risk minimization in pairwise label ranking. J. Comput. Syst. Sci. 76(1): 49-62 (2010)
105		Eyke 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
104		Johannes Fürnkranz, Eyke Hüllermeier, Stijn Vanderlooy: Binary Decomposition Methods for Multipartite Ranking. ECML/PKDD (1) 2009: 359-374
103		Weiwei Cheng, Eyke Hüllermeier: Combining Instance-Based Learning and Logistic Regression for Multilabel Classification. ECML/PKDD (1) 2009: 6
102		Thomas Fober, Marco Mernberger, Ralph Moritz, Eyke Hüllermeier: Graph-Kernels for the Comparative Analysis of Protein Active Sites. GCB 2009: 21-31
101		Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier: Decision tree and instance-based learning for label ranking. ICML 2009: 21
100		Eyke Hüllermeier, Maria Rifqi: A Fuzzy Variant of the Rand Index for Comparing Clustering Structures. IFSA/EUSFLAT Conf. 2009: 1294-1298
99		Thomas Fober, Eyke Hüllermeier: Fuzzy Modeling of Labeled Point Cloud Superposition for the Comparison of Protein Binding Sites. IFSA/EUSFLAT Conf. 2009: 1299-1304
98		Imen Boukhris, Zied Elouedi, Thomas Fober, Marco Mernberger, Eyke Hüllermeier: Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection. ISDA 2009: 1245-1250
97		Thomas Fober, Gerhard Klebe, Eyke Hüllermeier: Efficient Construction of Multiple Geometrical Alignments for the Comparison of Protein Binding Sites. ISDA 2009: 1251-1256
96		Weiwei Cheng, Eyke Hüllermeier: A New Instance-Based Label Ranking Approach Using the Mallows Model. ISNN (1) 2009: 707-716
95		Eyke Hüllermeier: Fuzzy Methods in Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 907-912
94		Thomas 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)
93		Jens Christian Hühn, Eyke Hüllermeier: FURIA: an algorithm for unordered fuzzy rule induction. Data Min. Knowl. Discov. 19(3): 293-319 (2009)
92		Eyke 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)
91		Jens C. Huhn, Eyke Hüllermeier: FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers. IEEE T. Fuzzy Systems 17(1): 138-149 (2009)
90		Eyke Hüllermeier, Stijn Vanderlooy: Why Fuzzy Decision Trees are Good Rankers. IEEE T. Fuzzy Systems 17(6): 1233-1244 (2009)
89		Yu Yi, Thomas Fober, Eyke Hüllermeier: Fuzzy Operator Trees for Modeling Rating Functions. International Journal of Computational Intelligence and Applications 8(4): 413-428 (2009)
88		Eyke Hüllermeier, Ilya Vladimirskiy, Belén Prados-Suárez, Eva Stauch: Supporting Case-Based Retrieval by Similarity Skyline. KI 23(1): 24-29 (2009)
87		Weiwei Cheng, Eyke Hüllermeier: Combining instance-based learning and logistic regression for multilabel classification. Machine Learning 76(2-3): 211-225 (2009)
	2008
86		Weiwei Cheng, Eyke Hüllermeier: Learning Similarity Functions from Qualitative Feedback. ECCBR 2008: 120-134
85		Eyke 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
82		Stijn 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
78		Eyke 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
77		Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng, Klaus Brinker: Label ranking by learning pairwise preferences. Artif. Intell. 172(16-17): 1897-1916 (2008)
76		Eyke Hüllermeier, Klaus Brinker: Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems 159(18): 2337-2352 (2008)
75		Jens C. Huhn, Eyke Hüllermeier: Is an ordinal class structure useful in classifier learning? IJDMMM 1(1): 45-67 (2008)
74		Jürgen Beringer, Eyke Hüllermeier: Case-based learning in a bipolar possibilistic framework. Int. J. Intell. Syst. 23(10): 1119-1134 (2008)
73		Stijn Vanderlooy, Eyke Hüllermeier: A critical analysis of variants of the AUC. Machine Learning 72(3): 247-262 (2008)
72		Johannes 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
70		Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier: On Pairwise Naive Bayes Classifiers. ECML 2007: 371-381
69		Eyke Hüllermeier, Johannes Fürnkranz: On Minimizing the Position Error in Label Ranking. ECML 2007: 583-590
68		Eyke Hüllermeier, Klaus Brinker: Fuzzy-Relational Classification: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling. EUSFLAT Conf. (1) 2007: 353-360
67		Jürgen Beringer, Eyke Hüllermeier: Adaptive Optimization of the Number of Clusters in Fuzzy Clustering. FUZZ-IEEE 2007: 1-6
66		Eyke 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
65		Klaus Brinker, Eyke Hüllermeier: Label Ranking in Case-Based Reasoning. ICCBR 2007: 77-91
64		Klaus Brinker, Eyke Hüllermeier: Case-Based Multilabel Ranking. IJCAI 2007: 702-707
63		Jürgen 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
61		Iman 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)
60		Eyke Hüllermeier: Credible Case-Based Inference Using Similarity Profiles. IEEE Trans. Knowl. Data Eng. 19(6): 847-858 (2007)
59		Eyke Hüllermeier, Y. Yi: In Defense of Fuzzy Association Analysis. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(4): 1039-1043 (2007)
58		Nils 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)
57		Didier Dubois, Eyke Hüllermeier: Comparing probability measures using possibility theory: A notion of relative peakedness. Int. J. Approx. Reasoning 45(2): 364-385 (2007)
56		Jürgen Beringer, Eyke Hüllermeier: Efficient instance-based learning on data streams. Intell. Data Anal. 11(6): 627-650 (2007)
55		Eyke Hüllermeier, Frank Klawonn, Andreas Nürnberger: Editorial. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(5): (2007)
54		Iman Karimi, Eyke Hüllermeier, Konstantin Meskouris: A fuzzy-probabilistic earthquake risk assessment system. Soft Comput. 11(3): 229-238 (2007)
53		Ulrich 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
51		Klaus Brinker, Eyke Hüllermeier: Case-Based Label Ranking. ECML 2006: 566-573
50		Korinna Bade, Eyke Hüllermeier, Andreas Nürnberger: Hierarchical Classification by Expected Utility Maximization. ICDM 2006: 43-52
49		Jürgen Beringer, Eyke Hüllermeier: Online clustering of parallel data streams. Data Knowl. Eng. 58(2): 180-204 (2006)
48		Didier Dubois, Eyke Hüllermeier, Henri Prade: A systematic approach to the assessment of fuzzy association rules. Data Min. Knowl. Discov. 13(2): 167-192 (2006)
47		Eyke Hüllermeier, Jürgen Beringer: Learning from ambiguously labeled examples. Intell. Data Anal. 10(5): 419-439 (2006)
46		Didier Dubois, Eyke Hüllermeier, Henri Prade: Fuzzy methods for case-based recommendation and decision support. J. Intell. Inf. Syst. 27(2): 95-115 (2006)
	2005
45		Didier Dubois, Eyke Hüllermeier: A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering. ECSQARU 2005: 848-859
44		Edwin Lughofer, Eyke Hüllermeier, Erich-Peter Klement: Improving the interpretability of data-driven evolving fuzzy systems. EUSFLAT Conf. 2005: 28-33
43		Yu Yi, Eyke Hüllermeier: Learning Complexity-Bounded Rule-Based Classifiers by Combining. Association Analysis and Genetic Algorithms. EUSFLAT Conf. 2005: 47-52
42		Eyke Hüllermeier, Jürgen Beringer: Learning from Ambiguously Labeled Examples. IDA 2005: 168-179
41		Eyke Hüllermeier, Johannes Fürnkranz: Learning Label Preferences: Ranking Error Versus Position Error. IDA 2005: 180-191
40		Eyke 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
38		Rajarajeswari 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)
37		Eyke Hüllermeier: Special issue on fuzzy sets in knowledge discovery. Fuzzy Sets and Systems 149(1): 1-3 (2005)
36		Eyke Hüllermeier: Fuzzy methods in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems 156(3): 387-406 (2005)
35		Eyke Hüllermeier: Experience-Based Decision Making: A Satisficing Decision Tree Approach. IEEE Transactions on Systems, Man, and Cybernetics, Part A 35(5): 641-653 (2005)
34		Johannes Fürnkranz, Eyke Hüllermeier: Preference Learning. KI 19(1): 60- (2005)
	2004
33		Eyke Hüllermeier: Instance-Based Prediction with Guaranteed Confidence. ECAI 2004: 97-101
32		Eyke 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
30		Nils Weskamp, Daniel Kuhn, Eyke Hüllermeier, Gerhard Klebe: Efficient similarity search in protein structure databases by k-clique hashing. Bioinformatics 20(10): 1522-1526 (2004)
29		Eyke Hüllermeier: Flexible constraints for regularization in learning from data. Int. J. Intell. Syst. 19(6): 525-541 (2004)
28		Eyke Hüllermeier: 26. Jahrestagung Künstliche Intelligenz (KI-2003). KI 18(1): 70- (2004)
	2003
27		Johannes Fürnkranz, Eyke Hüllermeier: Pairwise Preference Learning and Ranking. ECML 2003: 145-156
26		Eyke 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
24		Eyke Hüllermeier: Regularized Learning with Flexible Constraints. IDA 2003: 13-24
23		Didier Dubois, Eyke Hüllermeier, Henri Prade: A Note on Quality Measures for Fuzzy Asscociation Rules. IFSA 2003: 346-353
22		Eyke Hüllermeier: Inducing Fuzzy Concepts through Extended Version Space Learning. IFSA 2003: 677-684
21		Eyke Hüllermeier: Instance-Based Learning of Credible Label Sets. KI 2003: 450-464
20		Eyke Hüllermeier: Possibilistic instance-based learning. Artif. Intell. 148(1-2): 335-383 (2003)
19		Didier Dubois, Eyke Hüllermeier, Henri Prade: On the representation of fuzzy rules in terms of crisp rules. Inf. Sci. 151: 301-326 (2003)
18		Martine 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
16		Eyke 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
14		Eyke Hüllermeier: Association Rules for Expressing Gradual Dependencies. PKDD 2002: 200-211
	2001
13		Eyke Hüllermeier: Fuzzy Association Rules: Semantic Issues and Quality Measures. Fuzzy Days 2001: 380-391
12		Eyke Hüllermeier: Implication-Based Fuzzy Association Rules. PKDD 2001: 241-252
11		Eyke 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
7		Eyke Hüllermeier: A Method for Predicting Solutions in Case-Based Problem Solving. EWCBR 2000: 124-135
6		Didier 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
4		Eyke 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
2		Eyke Hüllermeier: Numerical Methods for Fuzzy Initial Value Problems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 7(5): 439-461 (1999)
	1997
1		Eyke 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

1	Kerstin Bach	[84]
2	Korinna Bade	[50]
3	Bernard De Baets	[117]
4	Rajarajeswari Balasubramaniyan	[38]
5	Jürgen Beringer	[39] [42] [47] [49] [56] [63] [67] [74]
6	Ulrich Bodenhofer	[53]
7	Imen Boukhris	[98]
8	Klaus Brinker	[51] [52] [64] [65] [68] [72] [76] [77]
9	Martine de Calmès	[15] [18]
10	Weiwei Cheng	[62] [77] [83] [86] [87] [96] [101] [103] [110] [111] [112] [116] [117] [125] [128] [131] [132]
11	Krzysztof Dembczynski	[110] [111] [112] [116] [128] [129] [131]
12	Carmel Domshlak	[126]
13	Didier Dubois	[6] [15] [18] [19] [23] [45] [46] [48] [57]
14	Zied Elouedi	[98]
15	Thomas Fober	[80] [81] [89] [94] [97] [98] [99] [102] [113] [114] [122]
16	Johannes Fürnkranz	[27] [34] [39] [41] [52] [69] [70] [72] [77] [104] [106] [107] [132] [133] [134]
17	Gerghei Glinca	[122]
18	Frank Hoffmann	[118] [119] [120]
19	Jens Christian Hühn (Jens C. Huhn)	[75] [91] [93] [101] [108]
20	Souhila Kaci	[126]
21	Jörg Kämper	[38]
22	Iman Karimi	[54] [61]
23	Frank Klawonn	[53] [55]
24	Gerhard Klebe	[25] [30] [31] [58] [66] [94] [97] [113] [122] [123]
25	Erich-Peter Klement	[44]
26	Wojciech Kotlowski	[129]
27	Rudolf Kruse	[53] [118] [119] [120]
28	Daniel Kuhn	[25] [30] [31] [58] [66]
29	Edwin Lughofer	[44]
30	Eneldo Loza Mencía	[72]
31	Marco Mernberger	[80] [81] [94] [98] [102] [113] [123]
32	Konstantin Meskouris	[54]
33	Ralph Moritz	[102]
34	Andreas Nürnberger	[50] [55]
35	Sang-Hyeun Park	[132]
36	Miltos Petridis	[84]
37	Henri Prade	[6] [15] [18] [19] [23] [46] [48] [126]
38	Belén Prados-Suárez	[85] [88]
39	Michaël Rademaker	[117]
40	Michael M. Richter	[84] [92]
41	Maria Rifqi	[100]
42	Patrice Schlegel	[130]
43	Florence Sedes (Florence Sèdes)	[15] [18]
44	Bernhard Seeger	[62]
45	Robin Senge	[115] [124]
46	Eva Stauch	[85] [88]
47	Jan-Nikolas Sulzmann	[70]
48	Ali Fallah Tehrani	[131]
49	Stijn Vanderlooy	[73] [79] [82] [90] [104] [105]
50	Ilya Vladimirskiy	[62] [85] [88]
51	Willem Waegeman	[116] [128]
52	Rosina O. Weber (Rosina Weber, Rosina Weber-Lee)	[84] [92]
53	Nils Weskamp	[25] [30] [31] [38] [58] [66]
54	Y. Yi	[59]
55	Yu Yi	[43] [89]

Colors in the list of coauthors

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page