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Ludmila I. Kuncheva: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. J. J. Charles, Ludmila I. Kuncheva, B. Wells, I. S. Lim
    An Evaluation Measure of Image Segmentation Based on Object Centres. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2006, pp:283-294 [Conf]
  2. Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin
    Is Independence Good For Combining Classifiers? [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2168-2171 [Conf]
  3. Ludmila I. Kuncheva
    Error Bounds for Aggressive and Conservative AdaBoost. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:25-34 [Conf]
  4. Ludmila I. Kuncheva
    Classifier Ensembles for Changing Environments. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:1-15 [Conf]
  5. Ludmila I. Kuncheva, Fabio Roli, Gian Luca Marcialis, Catherine A. Shipp
    Complexity of Data Subsets Generated by the Random Subspace Method: An Experimental Investigation. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:349-358 [Conf]
  6. Ludmila I. Kuncheva, Christopher J. Whitaker
    Feature Subsets for Classifier Combination: An Enumerative Experiment. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:228-237 [Conf]
  7. Ludmila I. Kuncheva, Christopher J. Whitaker
    Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:81-90 [Conf]
  8. Ludmila I. Kuncheva, Stefan Todorov Hadjitodorov
    Using diversity in cluster ensembles. [Citation Graph (0, 0)][DBLP]
    SMC (2), 2004, pp:1214-1219 [Conf]
  9. Christopher J. Whitaker, Ludmila I. Kuncheva, Peter D. Cockcroft
    A Logodds Criterion for Selection of Diagnostic Tests. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:574-582 [Conf]
  10. Ludmila I. Kuncheva, James C. Bezdek
    An Integrated Framework for Generalized Nearest Prototype Classifier Design. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998, v:6, n:5, pp:437-458 [Journal]
  11. Ludmila I. Kuncheva
    Diversity in multiple classifier systems. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2005, v:6, n:1, pp:3-4 [Journal]
  12. Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva, Ludmila P. Todorova
    Moderate diversity for better cluster ensembles. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2006, v:7, n:3, pp:264-275 [Journal]
  13. Ludmila I. Kuncheva, Christopher J. Whitaker
    Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:51, n:2, pp:181-207 [Journal]
  14. Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp
    Limits on the majority vote accuracy in classifier fusion. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2003, v:6, n:1, pp:22-31 [Journal]
  15. Juan José Rodríguez, Ludmila I. Kuncheva, Carlos J. Alonso
    Rotation Forest: A New Classifier Ensemble Method. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:10, pp:1619-1630 [Journal]
  16. Ludmila I. Kuncheva, Dmitry Vetrov
    Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:11, pp:1798-1808 [Journal]
  17. Ludmila I. Kuncheva
    A critical comment on the paper "designing of classification procedures with the use of equality and difference operators". [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1992, v:25, n:9, pp:1069-1071 [Journal]
  18. Ludmila I. Kuncheva
    Fitness functions in editing k-NN reference set by genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1997, v:30, n:6, pp:1041-1049 [Journal]
  19. Vesselin Kissiov, Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
    Using key features in pattern classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1990, v:11, n:1, pp:1-5 [Journal]
  20. Ludmila I. Kuncheva
    Using diversity measures for generating error-correcting output codes in classifier ensembles. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:1, pp:83-90 [Journal]
  21. Ludmila I. Kuncheva
    On the optimality of Naïve Bayes with dependent binary features. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:7, pp:830-837 [Journal]
  22. Ludmila I. Kuncheva
    'Change-glasses' approach in pattern recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1993, v:14, n:8, pp:619-623 [Journal]
  23. Ludmila I. Kuncheva
    Editing for the k-nearest neighbors rule by a genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1995, v:16, n:8, pp:809-814 [Journal]
  24. Fernando Vilariño, Ludmila I. Kuncheva, Petia Radeva
    ROC curves and video analysis optimization in intestinal capsule endoscopy. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:8, pp:875-881 [Journal]
  25. Ludmila I. Kuncheva, Juan J. Rodríguez
    Classifier Ensembles with a Random Linear Oracle. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:4, pp:500-508 [Journal]
  26. Ludmila I. Kuncheva
    How good are fuzzy If-Then classifiers? [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000, v:30, n:4, pp:501-509 [Journal]
  27. Ludmila I. Kuncheva
    Switching between selection and fusion in combining classifiers: an experiment. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:2, pp:146-156 [Journal]
  28. Ludmila I. Kuncheva
    A stability index for feature selection. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Applications, 2007, pp:421-427 [Conf]
  29. Anand M. Narasimhamurthy, Ludmila I. Kuncheva
    A framework for generating data to simulate changing environments. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Applications, 2007, pp:415-420 [Conf]
  30. Ludmila I. Kuncheva, Juan J. Rodríguez
    An Experimental Study on Rotation Forest Ensembles. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:459-468 [Conf]
  31. Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
    Selecting Diversifying Heuristics for Cluster Ensembles. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:200-209 [Conf]
  32. Juan J. Rodríguez, Ludmila I. Kuncheva
    Naïve Bayes Ensembles with a Random Oracle. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:450-458 [Conf]
  33. Ludmila I. Kuncheva, Christopher J. Whitaker, Peter D. Cockcroft, Z. S. J. Hoare
    Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:325-332 [Conf]

  34. Data reduction using classifier ensembles. [Citation Graph (, )][DBLP]


  35. Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling. [Citation Graph (, )][DBLP]


  36. Determining the Training Window for Small Sample Size Classification with Concept Drift. [Citation Graph (, )][DBLP]


  37. Clustering-and-selection model for classifier combination. [Citation Graph (, )][DBLP]


  38. Selecting fuzzy connectives to represent heavy metal distribution in Liverpool Bay. [Citation Graph (, )][DBLP]


  39. Network Protocol Verification by a Classifier Selection Ensemble. [Citation Graph (, )][DBLP]


  40. "Good" and "Bad" Diversity in Majority Vote Ensembles. [Citation Graph (, )][DBLP]


  41. Choosing Parameters for Random Subspace Ensembles for fMRI Classification. [Citation Graph (, )][DBLP]


  42. Adaptive Learning Rate for Online Linear Discriminant Classifiers. [Citation Graph (, )][DBLP]


  43. Combining Online Classification Approaches for Changing Environments. [Citation Graph (, )][DBLP]


  44. Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift. [Citation Graph (, )][DBLP]


  45. Background Segmentation in Microscopy Images. [Citation Graph (, )][DBLP]


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