 | 2010 |
|---|
| 95 |       | 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 |
|---|
| 94 | | Johannes Fürnkranz,
Eyke Hüllermeier,
Stijn Vanderlooy:
Binary Decomposition Methods for Multipartite Ranking.
ECML/PKDD (1) 2009: 359-374 |
| 93 | | Weiwei Cheng,
Eyke Hüllermeier:
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification.
ECML/PKDD (1) 2009: 6 |
| 92 | | Weiwei Cheng,
Jens C. Huhn,
Eyke Hüllermeier:
Decision tree and instance-based learning for label ranking.
ICML 2009: 21 |
| 91 | | Weiwei Cheng,
Eyke Hüllermeier:
A New Instance-Based Label Ranking Approach Using the Mallows Model.
ISNN (1) 2009: 707-716 |
| 90 | | 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) |
| 89 | | 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) |
| 88 | | Jens C. Huhn,
Eyke Hüllermeier:
FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers.
IEEE T. Fuzzy Systems 17(1): 138-149 (2009) |
| 87 | | Eyke Hüllermeier,
Ilya Vladimirskiy,
Belén Prados-Suárez,
Eva Stauch:
Supporting Case-Based Retrieval by Similarity Skyline.
KI 23(1): 24-29 (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) |
