Small sample size effects in statistical pattern recognition: Recommendations for practitioners SJ Raudys, AK Jain IEEE Transactions on pattern analysis and machine intelligence 13 (3), 252-264, 1991 | 1811 | 1991 |
Statistical and Neural Classifiers: An integrated approach to design S Raudys Springer Science & Business Media, 2001 | 286 | 2001 |
Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix S Raudys, RPW Duin Pattern recognition letters 19 (5-6), 385-392, 1998 | 249 | 1998 |
On dimensionality, sample size, classification error, and complexity of classification algorithm in pattern recognition S Raudys, V Pikelis IEEE Transactions on pattern analysis and machine intelligence, 242-252, 1980 | 244 | 1980 |
Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers Š Raudys Neural Networks 11 (2), 283-296, 1998 | 150 | 1998 |
Variable selection with neural networks T Cibas, FF Soulié, P Gallinari, S Raudys Neurocomputing 12 (2-3), 223-248, 1996 | 141 | 1996 |
On dimensionality, sample size, and classification error of nonparametric linear classification algorithms S Raudys IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (6), 667-671, 1997 | 88 | 1997 |
K-nearest neighbors directed noise injection in multilayer perceptron training M Skurichina, S Raudys, RPW Duin IEEE Transactions on Neural Networks 11 (2), 504-511, 2000 | 85 | 2000 |
Results in statistical discriminant analysis: A review of the former Soviet Union literature Š Raudys, DM Young Journal of Multivariate Analysis 89 (1), 1-35, 2004 | 80 | 2004 |
How good are support vector machines? Š Raudys Neural Networks 13 (1), 17-19, 2000 | 71 | 2000 |
The behavior knowledge space fusion method: Analysis of generalization error and strategies for performance improvement Š Raudys, F Roli International Workshop on Multiple Classifier Systems, 55-64, 2003 | 69 | 2003 |
Variable selection with optimal cell damage T Cibas, FF Soulié, P Gallinari, S Raudys ICANN’94: Proceedings of the International Conference on Artificial Neural …, 1994 | 64 | 1994 |
Two-stage classification of respiratory sound patterns EÇ Güler, B Sankur, YP Kahya, S Raudys Computers in biology and medicine 35 (1), 67-83, 2005 | 59 | 2005 |
Initializations, back-propagation and generalization of feed-forward classifiers WF Schmidt, S Raudys, MA Kraaijveld, M Skurikhina, RPW Duin IEEE International Conference on neural networks, 598-604, 1993 | 54 | 1993 |
Small sample size problems in designing artificial neural networks Š Raudys, AK Jain Machine Intelligence and Pattern Recognition 11, 33-50, 1991 | 53 | 1991 |
Evolution and generalization of a single neurone:: II. Complexity of statistical classifiers and sample size considerations Š Raudys Neural Networks 11 (2), 297-313, 1998 | 43 | 1998 |
An experimental comparison of fixed and trained fusion rules for crisp classifier outputs F Roli, Š Raudys, GL Marcialis Multiple Classifier Systems: Third International Workshop, MCS 2002 Cagliari …, 2002 | 42 | 2002 |
Trainable fusion rules. I. Large sample size case Š Raudys Neural Networks 19 (10), 1506-1516, 2006 | 40 | 2006 |
Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems SJ Raudys, AK Jain [1990] Proceedings. 10th International Conference on Pattern Recognition 1 …, 1990 | 38 | 1990 |
Trainable fusion rules. II. Small sample-size effects Š Raudys Neural Networks 19 (10), 1517-1527, 2006 | 34 | 2006 |