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Eyke Hüllermeier: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Eyke Hüllermeier
    Change Detection in Heuristic Search. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:898-903 [Conf]
  2. Klaus Brinker, Johannes Fürnkranz, Eyke Hüllermeier
    A Unified Model for Multilabel Classification and Ranking. [Citation Graph (0, 0)][DBLP]
    ECAI, 2006, pp:489-493 [Conf]
  3. Eyke Hüllermeier
    Focusing Search by Using Problem Solving Experience. [Citation Graph (0, 0)][DBLP]
    ECAI, 2000, pp:50-54 [Conf]
  4. Eyke Hüllermeier
    Similarity-based Inference as Evitential Reasoning. [Citation Graph (0, 0)][DBLP]
    ECAI, 2000, pp:55-59 [Conf]
  5. Eyke Hüllermeier
    On the Representation and Combination of Evidence in Instance-Based Learning. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:360-364 [Conf]
  6. Eyke Hüllermeier
    Instance-Based Prediction with Guaranteed Confidence. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:97-101 [Conf]
  7. Klaus Brinker, Eyke Hüllermeier
    Case-Based Label Ranking. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:566-573 [Conf]
  8. Eyke Hüllermeier
    Possibilistic Induction in Decision-Tree Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:173-184 [Conf]
  9. Johannes Fürnkranz, Eyke Hüllermeier
    Pairwise Preference Learning and Ranking. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:145-156 [Conf]
  10. Didier Dubois, Eyke Hüllermeier
    A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:848-859 [Conf]
  11. Didier Dubois, Eyke Hüllermeier, Henri Prade
    Flexible Control of Case-Based Prediction in the Framework of Possibility Theory. [Citation Graph (0, 0)][DBLP]
    EWCBR, 2000, pp:61-73 [Conf]
  12. Eyke Hüllermeier
    A Method for Predicting Solutions in Case-Based Problem Solving. [Citation Graph (0, 0)][DBLP]
    EWCBR, 2000, pp:124-135 [Conf]
  13. Eyke Hüllermeier
    Fuzzy Association Rules: Semantic Issues and Quality Measures. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 2001, pp:380-391 [Conf]
  14. Eyke Hüllermeier
    A Possibilistic Formalization of Case-Based Reasoning and Decision Making. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 1999, pp:411-420 [Conf]
  15. Nils Weskamp, Eyke Hüllermeier, Daniel Kuhn, Gerhard Klebe
    Graph Alignments: A New Concept to Detect Conserved Regions in Protein Active Sites. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 2004, pp:131-140 [Conf]
  16. Nils Weskamp, Daniel Kuhn, Eyke Hüllermeier, Gerhard Klebe
    Efficient Similarity Search in Protein Structure Databases: Improving Cliqae-Detection through Clique Hashing. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 2003, pp:179-184 [Conf]
  17. Korinna Bade, Eyke Hüllermeier, Andreas Nürnberger
    Hierarchical Classification by Expected Utility Maximization. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:43-52 [Conf]
  18. Eyke Hüllermeier
    Regularized Learning with Flexible Constraints. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:13-24 [Conf]
  19. Eyke Hüllermeier
    Exploiting Similarity for Supporting Data Analysis and Problem Solving. [Citation Graph (0, 0)][DBLP]
    IDA, 1999, pp:257-268 [Conf]
  20. Eyke Hüllermeier, Jürgen Beringer
    Learning from Ambiguously Labeled Examples. [Citation Graph (0, 0)][DBLP]
    IDA, 2005, pp:168-179 [Conf]
  21. Eyke Hüllermeier, Johannes Fürnkranz
    Learning Label Preferences: Ranking Error Versus Position Error. [Citation Graph (0, 0)][DBLP]
    IDA, 2005, pp:180-191 [Conf]
  22. Didier Dubois, Eyke Hüllermeier, Henri Prade
    A Note on Quality Measures for Fuzzy Asscociation Rules. [Citation Graph (0, 0)][DBLP]
    IFSA, 2003, pp:346-353 [Conf]
  23. Eyke Hüllermeier
    Inducing Fuzzy Concepts through Extended Version Space Learning. [Citation Graph (0, 0)][DBLP]
    IFSA, 2003, pp:677-684 [Conf]
  24. Eyke Hüllermeier
    Cho-k-NN: A Method for Combining Interacting Pieces of Evidence in Case-Based Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:3-8 [Conf]
  25. Eyke Hüllermeier
    Toward a Probabilistic Formalization of Case-Based Inference. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:248-253 [Conf]
  26. Klaus Brinker, Eyke Hüllermeier
    Case-Based Multilabel Ranking. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:702-707 [Conf]
  27. Eyke Hüllermeier
    Instance-Based Learning of Credible Label Sets. [Citation Graph (0, 0)][DBLP]
    KI, 2003, pp:450-464 [Conf]
  28. Martine de Calmès, Didier Dubois, Eyke Hüllermeier, Henri Prade, Florence Sedes
    A Fuzzy Approach to Flexible Case-based Querying: Methodology and Experimentation. [Citation Graph (0, 0)][DBLP]
    KR, 2002, pp:449-458 [Conf]
  29. Eyke Hüllermeier, Johannes Fürnkranz, Jürgen Beringer
    On Position Error and Label Ranking through Iterated Choice. [Citation Graph (0, 0)][DBLP]
    LWA, 2005, pp:158-163 [Conf]
  30. Eyke Hüllermeier
    Implication-Based Fuzzy Association Rules. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:241-252 [Conf]
  31. Eyke Hüllermeier
    Association Rules for Expressing Gradual Dependencies. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:200-211 [Conf]
  32. Eyke Hüllermeier
    Possibilistic instance-based learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2003, v:148, n:1-2, pp:335-383 [Journal]
  33. Rajarajeswari Balasubramaniyan, Eyke Hüllermeier, Nils Weskamp, Jörg Kämper
    Clustering of gene expression data using a local shape-based similarity measure. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:7, pp:1069-1077 [Journal]
  34. Nils Weskamp, Daniel Kuhn, Eyke Hüllermeier, Gerhard Klebe
    Efficient similarity search in protein structure databases by k-clique hashing. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:10, pp:1522-1526 [Journal]
  35. Didier Dubois, Eyke Hüllermeier, Henri Prade
    A systematic approach to the assessment of fuzzy association rules. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:13, n:2, pp:167-192 [Journal]
  36. Jürgen Beringer, Eyke Hüllermeier
    Online clustering of parallel data streams. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2006, v:58, n:2, pp:180-204 [Journal]
  37. Eyke Hüllermeier
    Special issue on fuzzy sets in knowledge discovery. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:149, n:1, pp:1-3 [Journal]
  38. Eyke Hüllermeier
    Fuzzy methods in machine learning and data mining: Status and prospects. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:156, n:3, pp:387-406 [Journal]
  39. Eyke Hüllermeier, Jürgen Beringer
    Learning from ambiguously labeled examples. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2006, v:10, n:5, pp:419-439 [Journal]
  40. Eyke Hüllermeier
    Similarity-based inference as evidential reasoning. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:26, n:2, pp:67-100 [Journal]
  41. Eyke Hüllermeier
    Flexible constraints for regularization in learning from data. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2004, v:19, n:6, pp:525-541 [Journal]
  42. 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. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003, v:11, n:1, pp:43-66 [Journal]
  43. Eyke Hüllermeier
    Numerical Methods for Fuzzy Initial Value Problems. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1999, v:7, n:5, pp:439-461 [Journal]
  44. Eyke Hüllermeier
    An Approach to Modelling and Simulation of Uncertain Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1997, v:5, n:2, pp:117-138 [Journal]
  45. Didier Dubois, Eyke Hüllermeier, Henri Prade
    On the representation of fuzzy rules in terms of crisp rules. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2003, v:151, n:, pp:301-326 [Journal]
  46. Didier Dubois, Eyke Hüllermeier, Henri Prade
    Fuzzy methods for case-based recommendation and decision support. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2006, v:27, n:2, pp:95-115 [Journal]
  47. Johannes Fürnkranz, Eyke Hüllermeier
    Preference Learning. [Citation Graph (0, 0)][DBLP]
    KI, 2005, v:19, n:1, pp:60-0 [Journal]
  48. Eyke Hüllermeier
    26. Jahrestagung Künstliche Intelligenz (KI-2003). [Citation Graph (0, 0)][DBLP]
    KI, 2004, v:18, n:1, pp:70-0 [Journal]
  49. Ulrich Bodenhofer, Eyke Hüllermeier, Frank Klawonn, Rudolf Kruse
    Special Issue on Soft Computing for Information Mining. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:5, pp:397-399 [Journal]
  50. Iman Karimi, Eyke Hüllermeier, Konstantin Meskouris
    A fuzzy-probabilistic earthquake risk assessment system. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:3, pp:229-238 [Journal]
  51. Eyke Hüllermeier
    Credible Case-Based Inference Using Similarity Profiles. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:6, pp:847-858 [Journal]
  52. Eyke Hüllermeier
    Experience-Based Decision Making: A Satisficing Decision Tree Approach. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2005, v:35, n:5, pp:641-653 [Journal]
  53. Eyke Hüllermeier, Johannes Fürnkranz
    On Minimizing the Position Error in Label Ranking. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:583-590 [Conf]
  54. Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier
    On Pairwise Naive Bayes Classifiers. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:371-381 [Conf]
  55. Klaus Brinker, Eyke Hüllermeier
    Label Ranking in Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    ICCBR, 2007, pp:77-91 [Conf]
  56. Jürgen Beringer, Eyke Hüllermeier
    An Efficient Algorithm for Instance-Based Learning on Data Streams. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2007, pp:34-48 [Conf]
  57. Weiwei Cheng, Eyke Hüllermeier, Bernhard Seeger, Ilya Vladimirskiy
    Interactive Ranking of Skylines Using Machine Learning Techniques. [Citation Graph (0, 0)][DBLP]
    LWA, 2007, pp:141-148 [Conf]
  58. Iman Karimi, Eyke Hüllermeier
    Risk assessment system of natural hazards: A new approach based on fuzzy probability. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2007, v:158, n:9, pp:987-999 [Journal]
  59. Didier Dubois, Eyke Hüllermeier
    Comparing probability measures using possibility theory: A notion of relative peakedness. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:45, n:2, pp:364-385 [Journal]
  60. Nils Weskamp, Eyke Hüllermeier, Daniel Kuhn, Gerhard Klebe
    Multiple Graph Alignment for the Structural Analysis of Protein Active Sites. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2007, v:4, n:2, pp:310-320 [Journal]

  61. Instance-Based Label Ranking using the Mallows Model. [Citation Graph (, )][DBLP]


  62. Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions. [Citation Graph (, )][DBLP]


  63. Learning Similarity Functions from Qualitative Feedback. [Citation Graph (, )][DBLP]


  64. Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR. [Citation Graph (, )][DBLP]


  65. Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites. [Citation Graph (, )][DBLP]


  66. Adaptive Optimization of the Number of Clusters in Fuzzy Clustering. [Citation Graph (, )][DBLP]


  67. Fuzzy Methods in Knowledge Discovery. [Citation Graph (, )][DBLP]


  68. Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules. [Citation Graph (, )][DBLP]


  69. Graph-Kernels for the Comparative Analysis of Protein Active Sites. [Citation Graph (, )][DBLP]


  70. Decision tree and instance-based learning for label ranking. [Citation Graph (, )][DBLP]


  71. Label Ranking Methods based on the Plackett-Luce Model. [Citation Graph (, )][DBLP]


  72. Graded Multilabel Classification: The Ordinal Case. [Citation Graph (, )][DBLP]


  73. Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. [Citation Graph (, )][DBLP]


  74. Efficient Construction of Multiple Geometrical Alignments for the Comparison of Protein Binding Sites. [Citation Graph (, )][DBLP]


  75. Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection. [Citation Graph (, )][DBLP]


  76. A New Instance-Based Label Ranking Approach Using the Mallows Model. [Citation Graph (, )][DBLP]


  77. Evolutionary Construction of Multiple Graph Alignments for Mining Structured Biomolecular Data. [Citation Graph (, )][DBLP]


  78. Weighted Voting as Approximate MAP Prediction in Pairwise Classification. [Citation Graph (, )][DBLP]


  79. A Critical Analysis of Variants of the AUC. [Citation Graph (, )][DBLP]


  80. Binary Decomposition Methods for Multipartite Ranking. [Citation Graph (, )][DBLP]


  81. Combining Instance-Based Learning and Logistic Regression for Multilabel Classification. [Citation Graph (, )][DBLP]


  82. Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss. [Citation Graph (, )][DBLP]


  83. Predicting Partial Orders: Ranking with Abstention. [Citation Graph (, )][DBLP]


  84. Uncertainty in Clustering and Classification. [Citation Graph (, )][DBLP]


  85. Fuzzy-Relational Classification: Combining Pairwise Decomposition Techniques with Fuzzy Preference Modeling. [Citation Graph (, )][DBLP]


  86. Learning Complexity-Bounded Rule-Based Classifiers by Combining. Association Analysis and Genetic Algorithms. [Citation Graph (, )][DBLP]


  87. Improving the interpretability of data-driven evolving fuzzy systems. [Citation Graph (, )][DBLP]


  88. Instance-based collaborative filtering with fuzzy labels. [Citation Graph (, )][DBLP]


  89. A Fuzzy Variant of the Rand Index for Comparing Clustering Structures. [Citation Graph (, )][DBLP]


  90. Fuzzy Modeling of Labeled Point Cloud Superposition for the Comparison of Protein Binding Sites. [Citation Graph (, )][DBLP]


  91. Label ranking by learning pairwise preferences. [Citation Graph (, )][DBLP]


  92. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. [Citation Graph (, )][DBLP]


  93. FURIA: an algorithm for unordered fuzzy rule induction. [Citation Graph (, )][DBLP]


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