| Optimising Ensemble Of Two-Class Classifiers Using Spectral Analysis | 0 | 0.34 | 2018 |
| Hybrid Dynamic Learning Systems for Regression. | 0 | 0.34 | 2015 |
| Facial action unit recognition using multi-class classification. | 5 | 0.39 | 2015 |
| Ensemble Learning with Dynamic Ordered Pruning for Regression. | 0 | 0.34 | 2015 |
| Pruning of Error Correcting Output Codes by optimization of accuracy–diversity trade off | 10 | 0.48 | 2015 |
| Dynamic ensemble selection and instantaneous pruning for regression. | 2 | 0.39 | 2014 |
| Dynamic Ensemble Selection and Instantaneous Pruning for Regression Used in Signal Calibration. | 0 | 0.34 | 2014 |
| ECOC Matrix Pruning Using Accuracy Information. | 3 | 0.42 | 2013 |
| Low training strength high capacity classifiers for accurate ensembles using walsh coefficients | 0 | 0.34 | 2012 |
| Minimising Added Classification Error Using Walsh Coefficients | 5 | 0.43 | 2011 |
| Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings | 68 | 2.62 | 2010 |
| Correlation-based and causal feature selection analysis for ensemble classifiers | 1 | 0.35 | 2010 |
| Bootstrap feature selection for ensemble classifiers | 3 | 0.38 | 2010 |
| FLIP-ECOC: A Greedy Optimization of the ECOC Matrix. | 2 | 0.39 | 2010 |
| Facial Expression Detection using Filtered Local Binary Pattern Features with ECOC Classifiers and Platt Scaling | 6 | 0.43 | 2010 |
| Improved Uniformity Enforcement in Stochastic Discrimination | 0 | 0.34 | 2009 |
| Relevant and Redundant Feature Analysis with Ensemble Classification | 6 | 0.56 | 2009 |
| The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles | 3 | 0.50 | 2009 |
| Upper Facial Action Unit Recognition | 1 | 0.35 | 2009 |
| Relevance and Redundancy Analysis for Ensemble Classifiers | 9 | 0.60 | 2009 |
| Ensemble Approaches to Facial Action Unit Classification | 2 | 0.39 | 2008 |
| Feature Ranking Ensembles for Facial Action Unit Classification | 5 | 0.47 | 2008 |
| Stopping criteria for ensemble-based feature selection | 5 | 0.43 | 2007 |
| Ensemble neural classifier design for face recognition | 0 | 0.34 | 2007 |
| An Ensemble Dependence Measure | 0 | 0.34 | 2007 |
| Ensemble-based Feature Selection Criteria | 2 | 0.37 | 2007 |
| Diversity measures for multiple classifier system analysis and design | 43 | 1.56 | 2005 |
| Over-Fitting in ensembles of neural network classifiers within ECOC frameworks | 7 | 0.56 | 2005 |
| Multiple Classifier Systems, 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings | 36 | 3.05 | 2004 |
| ECOC and Boosting with Multi-Layer Perceptrons | 0 | 0.34 | 2004 |
| Spectral Measure for Multi-class Problems | 1 | 0.39 | 2004 |
| Decision Tree Simplification For Classifier Ensembles | 10 | 0.72 | 2004 |
| Diversity/accuracy and ensemble classifier design | 4 | 0.42 | 2004 |
| Spectral coefficients and classifier correlation | 1 | 0.43 | 2003 |
| Combining multiple modes of information using unsupervised neural classifiers | 3 | 0.44 | 2003 |
| Multiple Classifier Systems, 4th International Workshop, MCS 2003, Guilford, UK, June 11-13, 2003, Proceedings | 40 | 3.35 | 2003 |
| Vote counting measures for ensemble classifiers | 16 | 0.97 | 2003 |
| Coding and decoding strategies for multi-class learning problems | 69 | 2.53 | 2003 |
| Boosted Tree Ensembles for Solving Multiclass Problems | 4 | 0.45 | 2002 |
| Tree pruning for output coded ensembles | 2 | 0.39 | 2002 |
| An Empirical Comparison of Pruning Methods for Ensemble Classifiers | 9 | 0.61 | 2001 |
| Face Verification via ECOC | 6 | 1.05 | 2001 |
| Least Squares and Estimation Measures via Error Correcting Output Code | 10 | 0.91 | 2001 |
| Face Identification and Verification via ECOC | 3 | 0.69 | 2001 |
| Face Verification Using Error Correcting Output Codes | 27 | 1.61 | 2001 |
| Recursive Partitioning Technique for Combining Multiple Classifiers | 3 | 0.47 | 2001 |
| Binary labelling and decision-level fusion | 29 | 1.70 | 2001 |
| Circular Ecoc - A Theoretical And Experimental Analysis | 8 | 0.84 | 2000 |
| AdaBoost and neural networks | 1 | 0.38 | 1999 |
| Spectral technique for hidden layer neural network training | 7 | 0.65 | 1997 |
