Ludmila I. Kuncheva

Ludmila Kuncheva

	2009
67		Francesco Gargiulo, Ludmila I. Kuncheva, Carlo Sansone: Network Protocol Verification by a Classifier Selection Ensemble. MCS 2009: 314-323
	2008
66		Ludmila I. Kuncheva, J. Salvador Sánchez: Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling. ICDM 2008: 869-874
65		Ludmila I. Kuncheva, Indre Zliobaite: Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift. SSPR/SPR 2008: 4
64		Ludmila I. Kuncheva, Catrin O. Plumpton: Adaptive Learning Rate for Online Linear Discriminant Classifiers. SSPR/SPR 2008: 510-519
63		Juan José Rodríguez, Ludmila I. Kuncheva: Combining Online Classification Approaches for Changing Environments. SSPR/SPR 2008: 520-529
62		J. J. Charles, Ludmila I. Kuncheva, B. Wells, I. S. Lim: Background Segmentation in Microscopy Images. VISAPP (1) 2008: 139-145
61		Ludmila Kuncheva, Zoë Hoare: Error-Dependency Relationships for the Naïve Bayes Classifier with Binary Features. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 735-740 (2008)
60		Ludmila I. Kuncheva, Christopher J. Whitaker, Anand M. Narasimhamurthy: A case-study on naïve labelling for the nearest mean and the linear discriminant classifiers. Pattern Recognition 41(10): 3010-3020 (2008)
59		Ludmila I. Kuncheva: Fuzzy classifiers. Scholarpedia 3(1): 2925 (2008)
	2007
58		Anand M. Narasimhamurthy, Ludmila I. Kuncheva: A framework for generating data to simulate changing environments. Artificial Intelligence and Applications 2007: 415-420
57		Ludmila I. Kuncheva: A stability index for feature selection. Artificial Intelligence and Applications 2007: 421-427
56		J. Salvador Sánchez, Ludmila I. Kuncheva: Data reduction using classifier ensembles. ESANN 2007: 379-384
55		Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva: Selecting Diversifying Heuristics for Cluster Ensembles. MCS 2007: 200-209
54		Juan José Rodríguez, Ludmila I. Kuncheva: Naïve Bayes Ensembles with a Random Oracle. MCS 2007: 450-458
53		Ludmila I. Kuncheva, Juan José Rodríguez: An Experimental Study on Rotation Forest Ensembles. MCS 2007: 459-468
52		Ludmila I. Kuncheva, Juan José Rodríguez: Classifier Ensembles with a Random Linear Oracle. IEEE Trans. Knowl. Data Eng. 19(4): 500-508 (2007)
	2006
51		J. J. Charles, Ludmila I. Kuncheva, B. Wells, I. S. Lim: An Evaluation Measure of Image Segmentation Based on Object Centres. ICIAR (1) 2006: 283-294
50		Juan José Rodríguez, Ludmila I. Kuncheva, Carlos J. Alonso: Rotation Forest: A New Classifier Ensemble Method. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1619-1630 (2006)
49		Ludmila I. Kuncheva, Dmitry Vetrov: Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization. IEEE Trans. Pattern Anal. Mach. Intell. 28(11): 1798-1808 (2006)
48		Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva, Ludmila P. Todorova: Moderate diversity for better cluster ensembles. Information Fusion 7(3): 264-275 (2006)
47		Ludmila I. Kuncheva: On the optimality of Naïve Bayes with dependent binary features. Pattern Recognition Letters 27(7): 830-837 (2006)
46		Fernando Vilariño, Ludmila I. Kuncheva, Petia Radeva: ROC curves and video analysis optimization in intestinal capsule endoscopy. Pattern Recognition Letters 27(8): 875-881 (2006)
	2005
45		Ludmila I. Kuncheva: Diversity in multiple classifier systems. Information Fusion 6(1): 3-4 (2005)
44		David Masip, Ludmila Kuncheva, Jordi Vitrià: An ensemble-based method for linear feature extraction for two-class problems. Pattern Anal. Appl. 8(3): 227-237 (2005)
43		Ludmila I. Kuncheva: Using diversity measures for generating error-correcting output codes in classifier ensembles. Pattern Recognition Letters 26(1): 83-90 (2005)
	2004
42		Ludmila I. Kuncheva: Classifier Ensembles for Changing Environments. Multiple Classifier Systems 2004: 1-15
41		Ludmila I. Kuncheva, Stefan Todorov Hadjitodorov: Using diversity in cluster ensembles. SMC (2) 2004: 1214-1219
40		Christopher J. Whitaker, Ludmila I. Kuncheva, Peter D. Cockcroft: A Logodds Criterion for Selection of Diagnostic Tests. SSPR/SPR 2004: 574-582
39		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. UAI 2004: 325-332
	2003
38		Ludmila Kuncheva: That Elusive Diversity in Classifier Ensembles. IbPRIA 2003: 1126-1138
37		Ludmila I. Kuncheva: Error Bounds for Aggressive and Conservative AdaBoost. Multiple Classifier Systems 2003: 25-34
36		Ludmila I. Kuncheva, Christopher J. Whitaker: Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy. Machine Learning 51(2): 181-207 (2003)
35		Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp: Limits on the majority vote accuracy in classifier fusion. Pattern Anal. Appl. 6(1): 22-31 (2003)
	2002
34		Marina Skurichina, Ludmila Kuncheva, Robert P. W. Duin: Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy. Multiple Classifier Systems 2002: 62-71
33		Ludmila I. Kuncheva, Christopher J. Whitaker: Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse. Multiple Classifier Systems 2002: 81-90
32		Ludmila Kuncheva: A Theoretical Study on Six Classifier Fusion Strategies. IEEE Trans. Pattern Anal. Mach. Intell. 24(2): 281-286 (2002)
31		Ludmila I. Kuncheva: Switching between selection and fusion in combining classifiers: an experiment. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(2): 146-156 (2002)
30		Catherine A. Shipp, Ludmila Kuncheva: Relationships between combination methods and measures of diversity in combining classifiers. Information Fusion 3(2): 135-148 (2002)
29		Ludmila Kuncheva, Marina Skurichina, Robert P. W. Duin: An experimental study on diversity for bagging and boosting with linear classifiers. Information Fusion 3(4): 245-258 (2002)
28		Ludmila Kuncheva, Roumen K. Kounchev: Generating classifier outputs of fixed accuracy and diversity. Pattern Recognition Letters 23(5): 593-600 (2002)
	2001
27		Ludmila I. Kuncheva, Christopher J. Whitaker: Feature Subsets for Classifier Combination: An Enumerative Experiment. Multiple Classifier Systems 2001: 228-237
26		Ludmila I. Kuncheva, Fabio Roli, Gian Luca Marcialis, Catherine A. Shipp: Complexity of Data Subsets Generated by the Random Subspace Method: An Experimental Investigation. Multiple Classifier Systems 2001: 349-358
25		Ludmila Kuncheva: Using measures of similarity and inclusion for multiple classifier fusion by decision templates. Fuzzy Sets and Systems 122(3): 401-407 (2001)
24		James C. Bezdek, Ludmila Kuncheva: Nearest prototype classifier designs: An experimental study. Int. J. Intell. Syst. 16(12): 1445-1473 (2001)
23		Ludmila Kuncheva: Fuzzy Logic with Engineering Applications, Timothy J. Ross, (Ed.); McGraw Hill, New York, 1995, pp 592, ISBN 0-07-053917-0. Neurocomputing 41(1-4): 187 (2001)
22		Ludmila Kuncheva, James C. Bezdek, Robert P. W. Duin: Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognition 34(2): 299-314 (2001)
	2000
21		Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin: Is Independence Good For Combining Classifiers? ICPR 2000: 2168-2171
20		Ludmila I. Kuncheva: Clustering-and-selection model for classifier combination. KES 2000: 185-188
19		A. S. Al-Zaidan, Ludmila I. Kuncheva: Selecting fuzzy connectives to represent heavy metal distribution in Liverpool Bay. KES 2000: 602-605
18		James C. Bezdek, Ludmila Kuncheva: Some Notes on Twenty One (21) Nearest Prototype Classifiers. SSPR/SPR 2000: 1-16
17		Ludmila Kuncheva, J. Wrench, Lakhmi C. Jain, A. S. Al-Zaidan: A fuzzy model of heavy metal loadings in Liverpool bay. Environmental Modelling and Software 15(2-3): 161-167 (2000)
16		Ludmila Kuncheva, Lakhmi C. Jain: Designing classifier fusion systems by genetic algorithms. IEEE Trans. Evolutionary Computation 4(4): 327-336 (2000)
15		Ludmila I. Kuncheva: How good are fuzzy If-Then classifiers? IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(4): 501-509 (2000)
	1999
14		Ludmila Kuncheva, Friedrich Steimann: Fuzzy diagnosis. Artificial Intelligence in Medicine 16(2): 121-128 (1999)
13		Ludmila I. Kuncheva, James C. Bezdek: Presupervised and post-supervised prototype classifier design. IEEE Transactions on Neural Networks 10(5): 1142-1152 (1999)
12		Ludmila Kuncheva, Lakhmi C. Jain: Nearest neighbor classifier: Simultaneous editing and feature selection. Pattern Recognition Letters 20(11-13): 1149-1156 (1999)
	1998
11		Ludmila I. Kuncheva, James C. Bezdek: An Integrated Framework for Generalized Nearest Prototype Classifier Design. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(5): 437-458 (1998)
	1997
10		Ludmila Kuncheva: Initializing of an RBF network by a genetic algorithm. Neurocomputing 14(3): 273-288 (1997)
9		Ludmila I. Kuncheva: Fitness functions in editing k-NN reference set by genetic algorithms. Pattern Recognition 30(6): 1041-1049 (1997)
	1995
8		Ludmila Kuncheva, Roumen K. Kounchev: On Feature Selection via Rough Sets. CAIP 1995: 625-630
7		Ludmila Kuncheva, Yordan K. Yotzov: Experimental Investigation on Editing for the k-NN Rule through a Genetic Algorithm. CAIP 1995: 766-771
6		Ludmila I. Kuncheva: Editing for the k-nearest neighbors rule by a genetic algorithm. Pattern Recognition Letters 16(8): 809-814 (1995)
	1993
5		Ludmila Kuncheva, Roumen Z. Zlatev, Snezhana N. Neshkova, Johann Gamper: A combination Scheme of Artificial Intelligence and Fuzzy Pattern Recognition in Medical Diagnosis. FLAI 1993: 157-164
4		Ludmila Kuncheva: Genetic Algorithm for Feature Selection for Parallel Classifiers. Inf. Process. Lett. 46(4): 163-168 (1993)
3		Ludmila I. Kuncheva: 'Change-glasses' approach in pattern recognition. Pattern Recognition Letters 14(8): 619-623 (1993)
	1992
2		Ludmila I. Kuncheva: A critical comment on the paper "designing of classification procedures with the use of equality and difference operators". Pattern Recognition 25(9): 1069-1071 (1992)
	1990
1		Vesselin Kissiov, Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva: Using key features in pattern classification. Pattern Recognition Letters 11(1): 1-5 (1990)

Coauthor Index

1	A. S. Al-Zaidan	[17] [19]
2	Carlos J. Alonso	[50]
3	James C. Bezdek	[11] [13] [18] [22] [24]
4	J. J. Charles	[51] [62]
5	Peter D. Cockcroft	[39] [40]
6	Robert P. W. Duin	[21] [22] [29] [34]
7	Johann Gamper	[5]
8	Francesco Gargiulo	[67]
9	Stefan Todorov Hadjitodorov	[1] [41] [48] [55]
10	Z. S. J. Hoare	[39]
11	Zoë Hoare	[61]
12	Lakhmi C. Jain	[12] [16] [17]
13	Vesselin Kissiov	[1]
14	Roumen K. Kounchev	[8] [28]
15	I. S. Lim	[51] [62]
16	Gian Luca Marcialis	[26]
17	David Masip	[44]
18	Anand M. Narasimhamurthy	[58] [60]
19	Snezhana N. Neshkova	[5]
20	Catrin O. Plumpton	[64]
21	Petia Radeva (Petia Radeva Ivanova)	[46]
22	Juan José Rodríguez	[50] [52] [53] [54] [63]
23	Fabio Roli	[26]
24	J. Salvador Sánchez	[56] [66]
25	Carlo Sansone	[67]
26	Catherine A. Shipp	[21] [26] [30] [35]
27	Marina Skurichina	[29] [34]
28	Friedrich Steimann	[14]
29	Ludmila P. Todorova	[48]
30	Dmitry Vetrov	[49]
31	Fernando Vilariño	[46]
32	Jordi Vitrià	[44]
33	B. Wells	[51] [62]
34	Christopher J. Whitaker	[21] [27] [33] [35] [36] [39] [40] [60]
35	J. Wrench	[17]
36	Yordan K. Yotzov	[7]
37	Roumen Z. Zlatev	[5]
38	Indre Zliobaite	[65]

Colors in the list of coauthors