Sarunas Raudys
Sarunas Raudys
Professor of Computer Science, Vilnius University
Geverifieerd e-mailadres voor mif.vu.lt
Geciteerd door
Geciteerd door
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
Statistical and Neural Classifiers: An integrated approach to design
S Raudys
Springer Science & Business Media, 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
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
Variable selection with neural networks
T Cibas, FF Soulié, P Gallinari, S Raudys
Neurocomputing 12 (2-3), 223-248, 1996
Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers
Š Raudys
Neural Networks 11 (2), 283-296, 1998
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
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
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
How good are support vector machines?
Š Raudys
Neural Networks 13 (1), 17-19, 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
Variable selection with optimal cell damage
T Cibas, FF Soulié, P Gallinari, S Raudys
International Conference on Artificial Neural Networks, 727-730, 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
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
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
Small sample size problems in designing artificial neural networks
Š Raudys, AK Jain
Machine Intelligence and Pattern Recognition 11, 33-50, 1991
Trainable fusion rules. I. Large sample size case
Š Raudys
Neural Networks 19 (10), 1506-1516, 2006
An experimental comparison of fixed and trained fusion rules for crisp classifier outputs
F Roli, Š Raudys, GL Marcialis
International Workshop on Multiple Classifier Systems, 232-241, 2002
Feature over-selection
S Raudys
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2006
Portfolio of automated trading systems: Complexity and learning set size issues
S Raudys
IEEE transactions on neural networks and learning systems 24 (3), 448-459, 2013
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