2009 |
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) |