Ludmila Kuncheva | Academic Influence

Ludmila Kuncheva's AcademicInfluence.com Rankings

Ludmila Kuncheva

Computer Science

#4643

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#4899

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Database

#2339

World Rank

#2454

Historical Rank

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Computer Science

Ludmila Kuncheva's Degrees

PhD Computer Science Sofia University

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Best Online PhD of Computer Science (Doctorates) 2025

Why Is Ludmila Kuncheva Influential?

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According to Wikipedia, Ludmila Ilieva Kuncheva is a Bulgarian-British computer scientist known for her research on pattern recognition and machine learning, and particularly on systems that combine results from multiple classifiers. She is professor in computer science at Bangor University in Wales.

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Ludmila Kuncheva's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Combining Pattern Classifiers: Methods and Algorithms (2004) (2358)
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy (2003) (2358)
Rotation Forest: A New Classifier Ensemble Method (2006) (1796)
Decision templates for multiple classifier fusion: an experimental comparison (2001) (1063)
A Theoretical Study on Six Classifier Fusion Strategies (2002) (765)
Fuzzy Classifier Design (2000) (487)
A stability index for feature selection (2007) (412)
Limits on the majority vote accuracy in classifier fusion (2003) (390)
Switching between selection and fusion in combining classifiers: an experiment (2002) (389)
Classifier Ensembles for Changing Environments (2004) (377)
Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization (2006) (316)
Relationships between combination methods and measures of diversity in combining classifiers (2002) (299)
Using diversity in cluster ensembles (2004) (292)
Designing classifier fusion systems by genetic algorithms (2000) (276)
Is independence good for combining classifiers? (2000) (252)
Random Subspace Ensembles for fMRI Classification (2010) (225)
Nearest prototype classification: clustering, genetic algorithms, or random search? (1998) (220)
Moderate diversity for better cluster ensembles (2006) (215)
Nearest prototype classifier designs: An experimental study (2001) (211)
Nearest neighbor classifier: Simultaneous editing and feature selection (1999) (207)
An Experimental Study on Rotation Forest Ensembles (2007) (198)
Random Balance: Ensembles of variable priors classifiers for imbalanced data (2015) (195)
A weighted voting framework for classifiers ensembles (2014) (193)
Editing for the k-nearest neighbors rule by a genetic algorithm (1995) (182)
Diversity in multiple classifier systems (2004) (181)
Clustering-and-selection model for classifier combination (2000) (172)
An experimental study on diversity for bagging and boosting with linear classifiers (2002) (170)
Classifier Ensembles with a Random Linear Oracle (2007) (166)
PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data (2014) (164)
Ten measures of diversity in classifier ensembles: limits for two classifiers (2001) (151)
"Good" and "Bad" Diversity in Majority Vote Ensembles (2010) (151)
"Fuzzy" versus "nonfuzzy" in combining classifiers designed by Boosting (2003) (150)
That Elusive Diversity in Classifier Ensembles (2003) (149)
Diversity techniques improve the performance of the best imbalance learning ensembles (2015) (140)
How good are fuzzy If-Then classifiers? (2000) (135)
Fuzzy rough sets: application to feature selection (1992) (132)
Will the real iris data please stand up? (1999) (129)
Classifier Ensembles for Detecting Concept Change in Streaming Data: Overview and Perspectives (2008) (122)
Using measures of similarity and inclusion for multiple classifier fusion by decision templates (2001) (114)
Change Detection in Streaming Multivariate Data Using Likelihood Detectors (2013) (112)
Combining classifiers: Soft computing solutions. (2001) (106)
A framework for generating data to simulate changing environments (2007) (101)
Experimental Comparison of Cluster Ensemble Methods (2006) (97)
Classifier ensembles for fMRI data analysis: an experiment. (2010) (92)
Fitness functions in editing k-NN reference set by genetic algorithms (1997) (87)
On the optimality of Naïve Bayes with dependent binary features (2006) (80)
Learn++.MF: A random subspace approach for the missing feature problem (2010) (79)
Using diversity measures for generating error-correcting output codes in classifier ensembles (2005) (78)
A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles (2013) (68)
Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse (2002) (67)
On the window size for classification in changing environments (2009) (65)
ROC curves and video analysis optimization in intestinal capsule endoscopy (2006) (60)
Instance selection improves geometric mean accuracy: a study on imbalanced data classification (2018) (57)
Pattern Recognition and Classification (2014) (56)
Occlusion Handling via Random Subspace Classifiers for Human Detection (2014) (52)
Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy (2002) (52)
Feature Subsets for Classifier Combination: An Enumerative Experiment (2001) (47)
On combining multiple classifiers by fuzzy templates (1998) (44)
Identification of Traffic Flows Hiding behind TCP Port 80 (2010) (44)
'Change-glasses' approach in pattern recognition (1993) (44)
‘ Fuzzy ’ vs ‘ Non-fuzzy ’ in Combining Classifiers Designed by Boosting (2003) (43)
Genetic Algorithm for Feature Selection for Parallel Classifiers (1993) (42)
A fuzzy consensus aggregation operator (1996) (40)
Generating classifier outputs of fixed accuracy and diversity (2002) (39)
Adaptive Learning Rate for Online Linear Discriminant Classifiers (2008) (39)
Naïve Bayes Ensembles with a Random Oracle (2007) (38)
Improving classification performance using fuzzy MLP and two-level selective partitioning of the feature space (1995) (36)
Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data (2012) (36)
Technological Advancements in Affective Gaming: A Historical Survey (2014) (34)
On feature selection protocols for very low-sample-size data (2018) (32)
Initializing of an RBF network by a genetic algorithm (1997) (31)
Examining the Relationship Between Majority Vote Accuracy and Diversity in Bagging and Boosting (2003) (31)
Choosing Parameters for Random Subspace Ensembles for fMRI Classification (2010) (30)
Full-class set classification using the Hungarian algorithm (2010) (30)
Combining Online Classification Approaches for Changing Environments (2008) (29)
Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling (2008) (29)
On the Equivalence between fuzzy and Statistical Classifiers (1996) (29)
Binomial distribution handbook for scientists and engineers , by Elart von Collani and Klaus Dräger. Pp.376. $79.95. 2001. ISBN 0 8176 4129 7 (Birkhäuser). (2002) (28)
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis (2013) (27)
An Integrated Framework for Generalized Nearest Prototype Classifier Design (1998) (25)
Selecting Diversifying Heuristics for Cluster Ensembles (2007) (25)
Combining univariate approaches for ensemble change detection in multivariate data (2018) (23)
Presupervised and post-supervised prototype classifier design (1999) (23)
An application of OWA operators to the aggregation of multiple classification decisions (1997) (23)
An ensemble-based method for linear feature extraction for two-class problems (2005) (23)
Determining the Training Window for Small Sample Size Classification with Concept Drift (2009) (22)
Multi-modal biometric emotion recognition using classifier ensembles (2011) (22)
Using Control Charts for Detecting Concept Change in Streaming Data (2009) (21)
Classifying encryption algorithms using pattern recognition techniques (2010) (20)
Fuzzy diagnosis (1999) (20)
Fuzzy multi-level classifier for medical applications. (1990) (20)
Random Balance ensembles for multiclass imbalance learning (2020) (18)
Complexity of Data Subsets Generated by the Random Subspace Method: An Experimental Investigation (2001) (17)
Edited nearest neighbour for selecting keyframe summaries of egocentric videos (2018) (16)
Object segmentation within microscope images of palynofacies (2008) (15)
A FUZZY GENERALIZED NEAREST PROTOTYPE CLASSIFIER (1997) (15)
Pattern recognition with a model of fuzzy neuron using degree of consensus (1994) (14)
PCA feature extraction for change detection in multidimensional unlabelled streaming data (2012) (14)
An aggregation of pro and con evidence for medical decision support systems. (1993) (14)
Evaluation of computerized medical diagnostic decisions via fuzzy sets. (1991) (14)
Some Notes on Twenty One (21) Nearest Prototype Classifiers (2000) (14)
Diagnosing scrapie in sheep: A classification experiment (2007) (14)
Fuzzy classifiers (2008) (14)
A fuzzy model of heavy metal loadings in Liverpool bay (2000) (13)
On Combining Multiple Classifiers (1998) (13)
Error Bounds for Aggressive and Conservative AdaBoost (2003) (12)
On-Line fMRI Data Classification Using Linear and Ensemble Classifiers (2010) (12)
A case-study on naïve labelling for the nearest mean and the linear discriminant classifiers (2008) (12)
Basic Ensembles of Vanilla-Style Deep Learning Models Improve Liver Segmentation From CT Images (2020) (12)
Network Protocol Verification by a Classifier Selection Ensemble (2009) (11)
An experimental evaluation of mixup regression forests (2020) (10)
An Evaluation Measure of Image Segmentation Based on Object Centres (2006) (10)
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale (2020) (9)
Using key features in pattern classification (1990) (9)
Using degree of consensus in two-level fuzzy pattern recognition (1995) (9)
Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air (2012) (9)
Time series classification: Decision forests and SVM on interval and DTW features (2007) (8)
A taxonomic look at instance-based stream classifiers (2018) (8)
DREAM: a shell-like software system for medical data analysis and decision support. (1993) (8)
Selection of Physiological Input Modalities for Emotion Recognition (2013) (8)
Error-Dependency Relationships for the Naïve Bayes Classifier with Binary Features (2008) (8)
Multiple Classifier Systems (2004) (7)
Evaluation of Feature Ranking Ensembles for High-Dimensional Biomedical Data: A Case Study (2012) (7)
It Ain’t What You Do—It’s the Way That You Do It: Is Optimizing Challenge Key in the Development of Super-Elite Batsmen? (2020) (7)
Automated Kerogen Classification in Microscope Images of Dispersed Kerogen Preparation (2008) (7)
Theoretical Window Size for Classification in the Presence of Sudden Concept Dr ift (2010) (7)
Restricted set classification: Who is there? (2017) (7)
Marine DGNSS Availability and Continuity (2003) (7)
The Identification of ‘Game Changers’ in England Cricket’s Developmental Pathway for 3 Elite Spin Bowling: A Machine Learning Approach (2019) (7)
Data reduction using classifier ensembles (2007) (6)
A concept-drift perspective on prototype selection and generation (2016) (6)
Two-level classification schemes in medical diagnostics. (1993) (6)
Background Segmentation in Microscopy Images (2008) (6)
Classification and comparison of on-line video summarisation methods (2019) (5)
Ensemble Feature Selection (2014) (5)
Fuzzy if-then classifiers (2000) (5)
Fusion of Label Outputs (2004) (5)
Combinations of multiple classifiers using fuzzy sets (2000) (5)
Bagging and Boosting (2004) (5)
Fusion of Continuous‐Valued Outputs (2004) (4)
Additional criteria in fuzzy two-level pattern recognition (1992) (4)
A combination Scheme of Artificial Intelligence and Fuzzy Pattern Recognition in Medical Diagnosis (1993) (4)
Fuzzy two-level classifier for high-G analysis. Medical diagnosis of acceleration effects (1994) (4)
A.M.B.E.R. Shark-Fin: An Unobtrusive Affective Mouse (2013) (4)
Nearest neighbor classi ® er : Simultaneous editing and feature selection (1999) (4)
Fuzzy Pattern Recognition (1999) (4)
Diversity in Classifier Ensembles (2004) (4)
Fuzzy Logic with Engineering Applications, Timothy J. Ross, (Ed.); McGraw Hill, New York, 1995, pp 592, ISBN 0-07-053917-0 (2001) (3)
Stability of Kerogen Classification with Regard to Image Segmentation (2009) (3)
Selective Keyframe Summarisation for Egocentric Videos Based on Semantic Concept Search* (2018) (3)
A two-level classification scheme trained by a fuzzy neural network (1994) (3)
Who Is Missing? A New Pattern Recognition Puzzle (2014) (3)
Point Prototype Generation and Classifier Design (1999) (3)
A Fuzzy Model of Heavy Metal Loadings in Marine Environment (2001) (3)
Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift (2008) (2)
On the Evaluation of Video Keyframe Summaries using User Ground Truth (2017) (2)
Learning from Exemplars and Prototypes in Machine Learning and Psychology (2018) (2)
An RBF network with tunable function shape (1996) (2)
On Optimum Thresholding of Multivariate Change Detectors (2014) (2)
Combining Label Outputs (2014) (2)
Using control charts for on-line video summarisation (2019) (2)
A Decision Making System in Aviation Medicine (1991) (2)
Comparing keyframe summaries of egocentric videos: Closest-to-centroid baseline (2017) (2)
Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in (2004) (2)
Restricted Set Classification with prior probabilities: A case study on chessboard recognition (2018) (2)
Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier (2015) (2)
A Logodds Criterion for Selection of Diagnostic Tests (2004) (1)
Fundamentals of Pattern Recognition (2004) (1)
Animal reidentification using restricted set classification (2021) (1)
Parabolic evolutionary algorithms (1998) (1)
Prototype Classifiers and the Big Fish: The Case of Prototype (Instance) Selection (2020) (1)
Budget-Constrained Online Video Summarisation of Egocentric Video Using Control Charts (2018) (1)
A Final Thought (2014) (1)
Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial (2016) (1)
Correlation Between Breath Profiles Of Exhaled Volatile Organic Compounds (eVOCs) And Global Initiative For Obstructive Lung Disease (GOLD) COPD Stage (2012) (0)
Abstraction and Generalization: Comparing Adaptive Models of Categorization (2020) (0)
A spatial discrepancy measure between voxel sets in brain imaging (2014) (0)
Bipartite Graph Matching for Keyframe Summary Evaluation (2017) (0)
Training of fuzzy if-then classifiers (2000) (0)
AN ATTEMPT AT NOSOLOGICAL AND ETIOLOGICAL D I A R R H E A SYNDROME DECODING IN PATIENTS W I T H PRESUMED E N T E R A L INFECTION (2017) (0)
Conclusions: What to choose? (2000) (0)
On Feature Selection via Rough Sets (1995) (0)
A Benchmark Database for Animal Re-Identification and Tracking (2022) (0)
Theoretical Views and Results (2004) (0)
Selecting fuzzy connectives to represent heavy metal distribution in Liverpool Bay (2000) (0)
A critical comment on the paper "designing of classification procedures with the use of equality and difference operators" (1992) (0)
Classifier Ensembles with a Random (2007) (0)
Pattern recognition and classication (2014) (0)
Selecting Feature Representation for Online Summarisation of Egocentric Videos (2018) (0)
Classification and comparison of on-line video summarisation methods (2019) (0)
Hardware and Software Architectures for Secure Biometric Systems (2008) (0)
Bounds for the VC Dimension of 1NN Prototype Sets (2019) (0)
An Overview of the Field (2014) (0)
Selection Of Independent Binary Features Using Probabilities: An Example From Veterinary Medicine (2005) (0)
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis (2012) (0)
Teaching and Research Practices in Pattern Recognition (Personal Views and Experiences) (2010) (0)
Diversifying Heuristics for Cluster Ensembles (2006) (0)
Statistical pattern recognition (2000) (0)
Combination of Object Tracking and Object Detection for Animal Recognition (2022) (0)
Getting Lost in the Wealth of Classifier Ensembles? (2016) (0)
An experiment on animal re-identification from video (2023) (0)
Using fuzzy similarities to analyze heavy metal distribution in a marine environment (2001) (0)
Intrauterine position probabilities in mice, rats and gerbils (2017) (0)
Combining Continuous‐Valued Outputs (2014) (0)
Non if-then fuzzy models (2000) (0)
A spatial discrepancy measure between voxel sets in brain imaging (2012) (0)
Restricted Set Classification : Who is there ? , Pattern Recognition (2017) (0)
Exhaled Breath Analysis For Volatile Organic Compounds (VOCs) Can Distinguish COPD From Controls (2012) (0)
A Bibliographic View on Constrained Clustering (2022) (0)
Experimental Investigation on Editing for the k-NN Rule through a Genetic Algorithm (1995) (0)
A weighted voting framework for classifiers ensembles (2012) (0)
Instance selection improves geometric mean accuracy: a study on imbalanced data classification (2019) (0)
Using control charts for online video (2018) (0)

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