2009 | ||
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85 | EE | 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) |
2008 | ||
84 | EE | Weiwei Cheng, Eyke Hüllermeier: Learning Similarity Functions from Qualitative Feedback. ECCBR 2008: 120-134 |
83 | EE | Eyke Hüllermeier, Ilya Vladimirskiy, Belén Prados-Suárez, Eva Stauch: Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions. ECCBR 2008: 240-254 |
82 | Eyke Hüllermeier, Michael M. Richter, Rosina Weber, Kerstin Bach, Miltos Petridis: Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR. ECCBR Workshops 2008: 117-118 | |
81 | Weiwei Cheng, Eyke Hüllermeier: Instance-Based Label Ranking using the Mallows Model. ECCBR Workshops 2008: 143-157 | |
80 | EE | Stijn Vanderlooy, Eyke Hüllermeier: A Critical Analysis of Variants of the AUC. ECML/PKDD (1) 2008: 13 |
79 | 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 | |
78 | EE | 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 | EE | Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng, Klaus Brinker: Label ranking by learning pairwise preferences. Artif. Intell. 172(16-17): 1897-1916 (2008) |
76 | EE | Eyke Hüllermeier, Klaus Brinker: Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems 159(18): 2337-2352 (2008) |
75 | EE | Jens C. Huhn, Eyke Hüllermeier: Is an ordinal class structure useful in classifier learning? IJDMMM 1(1): 45-67 (2008) |
74 | EE | Jürgen Beringer, Eyke Hüllermeier: Case-based learning in a bipolar possibilistic framework. Int. J. Intell. Syst. 23(10): 1119-1134 (2008) |
73 | EE | Stijn Vanderlooy, Eyke Hüllermeier: A critical analysis of variants of the AUC. Machine Learning 72(3): 247-262 (2008) |
72 | EE | 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 | EE | Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier: On Pairwise Naive Bayes Classifiers. ECML 2007: 371-381 |
69 | EE | Eyke Hüllermeier, Johannes Fürnkranz: On Minimizing the Position Error in Label Ranking. ECML 2007: 583-590 |
68 | EE | Eyke Hüllermeier, Klaus Brinker: Fuzzy-Relational Classification: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling. EUSFLAT Conf. (1) 2007: 353-360 |
67 | EE | Jürgen Beringer, Eyke Hüllermeier: Adaptive Optimization of the Number of Clusters in Fuzzy Clustering. FUZZ-IEEE 2007: 1-6 |
66 | EE | 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 | EE | Klaus Brinker, Eyke Hüllermeier: Label Ranking in Case-Based Reasoning. ICCBR 2007: 77-91 |
64 | EE | Klaus Brinker, Eyke Hüllermeier: Case-Based Multilabel Ranking. IJCAI 2007: 702-707 |
63 | EE | 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 | EE | 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 | EE | Eyke Hüllermeier: Credible Case-Based Inference Using Similarity Profiles. IEEE Trans. Knowl. Data Eng. 19(6): 847-858 (2007) |
59 | EE | 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 | EE | 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 | EE | 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 | EE | Jürgen Beringer, Eyke Hüllermeier: Efficient instance-based learning on data streams. Intell. Data Anal. 11(6): 627-650 (2007) |
55 | EE | Eyke Hüllermeier, Frank Klawonn, Andreas Nürnberger: Editorial. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(5): (2007) |
54 | EE | Iman Karimi, Eyke Hüllermeier, Konstantin Meskouris: A fuzzy-probabilistic earthquake risk assessment system. Soft Comput. 11(3): 229-238 (2007) |
53 | EE | 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 | EE | Klaus Brinker, Eyke Hüllermeier: Case-Based Label Ranking. ECML 2006: 566-573 |
50 | EE | Korinna Bade, Eyke Hüllermeier, Andreas Nürnberger: Hierarchical Classification by Expected Utility Maximization. ICDM 2006: 43-52 |
49 | EE | Jürgen Beringer, Eyke Hüllermeier: Online clustering of parallel data streams. Data Knowl. Eng. 58(2): 180-204 (2006) |
48 | EE | 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 | EE | Eyke Hüllermeier, Jürgen Beringer: Learning from ambiguously labeled examples. Intell. Data Anal. 10(5): 419-439 (2006) |
46 | EE | 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 | EE | Didier Dubois, Eyke Hüllermeier: A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering. ECSQARU 2005: 848-859 |
44 | EE | Edwin Lughofer, Eyke Hüllermeier, Erich-Peter Klement: Improving the interpretability of data-driven evolving fuzzy systems. EUSFLAT Conf. 2005: 28-33 |
43 | EE | Yu Yi, Eyke Hüllermeier: Learning Complexity-Bounded Rule-Based Classifiers by Combining. Association Analysis and Genetic Algorithms. EUSFLAT Conf. 2005: 47-52 |
42 | EE | Eyke Hüllermeier, Jürgen Beringer: Learning from Ambiguously Labeled Examples. IDA 2005: 168-179 |
41 | EE | Eyke Hüllermeier, Johannes Fürnkranz: Learning Label Preferences: Ranking Error Versus Position Error. IDA 2005: 180-191 |
40 | EE | 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 | EE | 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 | EE | Eyke Hüllermeier: Special issue on fuzzy sets in knowledge discovery. Fuzzy Sets and Systems 149(1): 1-3 (2005) |
36 | EE | Eyke Hüllermeier: Fuzzy methods in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems 156(3): 387-406 (2005) |
35 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Eyke Hüllermeier: Flexible constraints for regularization in learning from data. Int. J. Intell. Syst. 19(6): 525-541 (2004) |
28 | EE | Eyke Hüllermeier: 26. Jahrestagung Künstliche Intelligenz (KI-2003). KI 18(1): 70- (2004) |
2003 | ||
27 | EE | Johannes Fürnkranz, Eyke Hüllermeier: Pairwise Preference Learning and Ranking. ECML 2003: 145-156 |
26 | EE | 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 | EE | Eyke Hüllermeier: Regularized Learning with Flexible Constraints. IDA 2003: 13-24 |
23 | EE | Didier Dubois, Eyke Hüllermeier, Henri Prade: A Note on Quality Measures for Fuzzy Asscociation Rules. IFSA 2003: 346-353 |
22 | EE | Eyke Hüllermeier: Inducing Fuzzy Concepts through Extended Version Space Learning. IFSA 2003: 677-684 |
21 | EE | Eyke Hüllermeier: Instance-Based Learning of Credible Label Sets. KI 2003: 450-464 |
20 | EE | Eyke Hüllermeier: Possibilistic instance-based learning. Artif. Intell. 148(1-2): 335-383 (2003) |
19 | EE | Didier Dubois, Eyke Hüllermeier, Henri Prade: On the representation of fuzzy rules in terms of crisp rules. Inf. Sci. 151: 301-326 (2003) |
18 | EE | 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 | EE | 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 | EE | Eyke Hüllermeier: Association Rules for Expressing Gradual Dependencies. PKDD 2002: 200-211 |
2001 | ||
13 | EE | Eyke Hüllermeier: Fuzzy Association Rules: Semantic Issues and Quality Measures. Fuzzy Days 2001: 380-391 |
12 | EE | Eyke Hüllermeier: Implication-Based Fuzzy Association Rules. PKDD 2001: 241-252 |
11 | EE | 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 | EE | Eyke Hüllermeier: A Method for Predicting Solutions in Case-Based Problem Solving. EWCBR 2000: 124-135 |
6 | EE | 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 | EE | 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 | EE | 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 | EE | 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) |