Determination of optimal dimensionality in statistical pattern classification. - Sarunas Raudys (Pattern Recognit., 1979)

On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition. - Sarunas Raudys; Vitalijus Pikelis (IEEE Trans. Pattern Anal. Mach. Intell., 1980)

Collective selection of the best version of a pattern recognition system. - Sarunas Raudys; Vitalijus Pikelis (Pattern Recognit. Lett., 1982)

On the accuracy of a bootstrap estimate of the classification error. - Sarunas Raudys (ICPR, 1988)

Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems. - Sarunas Raudys; Anil K. Jain 001 (ICPR (1), 1990)

Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners. - Sarunas Raudys; Anil K. Jain 001 (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

Accuracy of feature selection and extraction in statistical and neural net pattern classification. - Sarunas Raudys (ICPR (2), 1992)

Initializations, back-propagation and generalization of feed-forward classifiers. - Wouter F. Schmidt; Sarunas Raudys; Martin A. Kraaijveld; Marina Skurikhina; Robert P. W. Duin (ICNN, 1993)

Multi-stage nonlinear classification of respiratory sounds. - Emin Çagatay Güler; Bülent Semkur; Yasemin P. Kahya; Sarunas Raudys (EUSIPCO, 1996)

Regularization by Early Stopping in Single Layer Perceptron Training. - Sarunas Raudys; Tautvydas Cibas (ICANN, 1996)

Linear classifiers in perceptron design. - Sarunas Raudys (ICPR, 1996)

Expected error of minimum empirical error and maximal margin classifiers. - Sarunas Raudys; Valdas Diciunas (ICPR, 1996)

Variable selection with neural networks. - Tautvydas Cibas; Françoise Fogelman-Soulié; Patrick Gallinari; Sarunas Raudys (Neurocomputing, 1996)

On Dimensionality, Sample Size, and Classification Error of Nonparametric Linear Classification Algorithms. - Sarunas Raudys (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

Structures of the Covariance Matrices in the Classifier Design. - Sarunas Raudys; Ausra Saudargiene (SSPR/SPR, 1998)

Visual classification of medical data using MLP mapping. - Emin Çagatay Güler; Bülent Sankur; Yasemin P. Kahya; Sarunas Raudys (Comput. Biol. Medicine, 1998)

Intrinsic dimensionality and small sample properties of classifiers. - Sarunas Raudys (Kybernetika, 1998)

Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers. - Sarunas Raudys (Neural Networks, 1998)

Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations. - Sarunas Raudys (Neural Networks, 1998)

Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix. - Sarunas Raudys; Robert P. W. Duin (Pattern Recognit. Lett., 1998)

Prior Weights in Adaptive Pattern Classification. - Sarunas Raudys (ICPR, 2000)

Classifier's Complexity Control while Training Multilayer Perceptrons. - Sarunas Raudys (SSPR/SPR, 2000)

Biologically Inspired Architecture of Feedforward Networks for Signal Classification. - Sarunas Raudys; Minija Tamosiunaite (SSPR/SPR, 2000)

Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case. - Valdas Diciunas; Sarunas Raudys (Informatica, 2000)

How good are support vector machines? - Sarunas Raudys (Neural Networks, 2000)

Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions. - Sarunas Raudys (Neural Networks, 2000)

Scaled rotation regularization. - Sarunas Raudys (Pattern Recognit., 2000)

k-nearest neighbors directed noise injection in multilayer perceptron training. - Marina Skurichina; Sarunas Raudys; Robert P. W. Duin (IEEE Trans. Neural Networks Learn. Syst., 2000)

First-Order Tree-Type Dependence between Variables and Classification Performance. - Sarunas Raudys; Ausra Saudargiene (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Statistical and Neural Classifiers: An Integrated Approach to Design - Sarunas Raudys (Springer, 2001)

Reduction of the Boasting Bias of Linear Experts. - Arunas Janeliunas; Sarunas Raudys (Multiple Classifier Systems, 2002)

Multiple Classification Systems in the Context of Feature Extraction and Selection. - Sarunas Raudys (Multiple Classifier Systems, 2002)

An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs. - Fabio Roli; Sarunas Raudys; Gian Luca Marcialis (Multiple Classifier Systems, 2002)

Comparison of Two Classification Methodologies on a Real-World Biomedical Problem. - Ray L. Somorjai; Arunas Janeliunas; Richard Baumgartner; Sarunas Raudys (SSPR/SPR, 2002)

Yerkes-Dodson Law in Agents' Training. - Sarunas Raudys; Viktoras Justickis (EPIA, 2003)

The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement. - Sarunas Raudys; Fabio Roli (Multiple Classifier Systems, 2003)

Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. - Sarunas Raudys; Ray L. Somorjai; Richard Baumgartner (Multiple Classifier Systems, 2003)

Experts' Boasting in Trainable Fusion Rules. - Sarunas Raudys (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Survival of Intelligent Agents in Changing Environments. - Sarunas Raudys (ICAISC, 2004)

Fixed Non-linear Combining Rules versus Adaptive Ones. - Sarunas Raudys; Zidrina Pabarskaite (ICAISC, 2004)

Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices. - Sarunas Raudys (KI, 2004)

Multiple Classifiers System for Reducing Influences of Atypical Observations. - Sarunas Raudys; Masakazu Iwamura (Multiple Classifier Systems, 2004)

Structures of Covariance Matrix in Handwritten Character Recognition. - Sarunas Raudys; Masakazu Iwamura (SSPR/SPR, 2004)

On Understanding and Assessing Feature Selection Bias. - Sarunas Raudys; Richard Baumgartner; Ray L. Somorjai (AIME, 2005)

Group Interests of Agents Functioning in Changing Environments. - Sarunas Raudys; Alvydas Pumputis (CEEMAS, 2005)

Functional Model of Criminality: Simulation Study. - Sarunas Raudys; Aini Hussain; Viktoras Justickis; Alvydas Pumputis; Arunas Augustinaitis (CONTEXT, 2005)

Effect of Synthetic Emotions on Agents' Learning Speed and Their Survivability. - Sarunas Raudys (ECAL, 2005)

Taxonomy of Classifiers Based on Dissimilarity Features. - Sarunas Raudys (ICAPR (1), 2005)

Prediction of Commodity Prices in Rapidly Changing Environments. - Sarunas Raudys; Indre Zliobaite (ICAPR (1), 2005)

Two-stage classification of respiratory sound patterns. - Emin Çagatay Güler; Bülent Sankur; Yasemin P. Kahya; Sarunas Raudys (Comput. Biol. Medicine, 2005)

The Multi-Agent System for Prediction of Financial Time Series. - Sarunas Raudys; Indre Zliobaite (ICAISC, 2006)

A Pool of Classifiers by SLP: A Multi-class Case. - Sarunas Raudys; Vitalij Denisov; Antanas Andrius Bielskis (ICIAR (2), 2006)

Generalization Error of Multinomial Classifier. - Sarunas Raudys (SSPR/SPR, 2006)

Feature Over-Selection. - Sarunas Raudys (SSPR/SPR, 2006)

Trainable fusion rules. I. Large sample size case. - Sarunas Raudys (Neural Networks, 2006)

Trainable fusion rules. II. Small sample-size effects. - Sarunas Raudys (Neural Networks, 2006)

Aging in Artificial Learning Systems. - Sarunas Raudys (ECAL, 2007)

Social Organization of Evolving Multiple Classifier System Functioning in Changing Environments. - Sarunas Raudys (ICANNGA (1), 2007)

Evolution of Multi-class Single Layer Perceptron. - Sarunas Raudys (ICANNGA (2), 2007)

Classifiers Fusion in Recognition of Wheat Varieties. - Sarunas Raudys; Ömer Kaan Baykan; Ahmet Babalik; Vitalij Denisov; Antanas Andrius Bielskis (MCS, 2007)

Multi-agent System Approach to React to Sudden Environmental Changes. - Sarunas Raudys; Antanas Mitasiunas (MLDM, 2007)

A Target Value Control While Training the Perceptrons in Changing Environments. - Sarunas Raudys (ICNC (3), 2008)

Multiclass Mineral Recognition Using Similarity Features and Ensembles of Pair-Wise Classifiers. - Rimantas Kybartas; Nurdan Akhan Baykan; Nihat Yilmaz; Sarunas Raudys (IEA/AIE (2), 2010)

Pairwise Costs in Multiclass Perceptrons. - Sarunas Raudys; Aistis Raudys (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Multicategory nets of single-layer perceptrons: complexity and sample-size issues. - Sarunas Raudys; Rimantas Kybartas; Edmundas Kazimieras Zavadskas (IEEE Trans. Neural Networks, 2010)

High frequency trading portfolio optimisation: Integration of financial and human factors. - Sarunas Raudys; Aistis Raudys (ISDA, 2011)

Three decision making levels in portfolio management. - Sarunas Raudys; Aistis Raudys (CIFEr, 2012)

Multi-agent system based portfolio management in prior-to-crisis and crisis period. - Sarunas Raudys; Aistis Raudys; Zidrina Pabarskaite (ISDA, 2012)

Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues. - Sarunas Raudys (IEEE Trans. Neural Networks Learn. Syst., 2013)

Modelling of Excitation Propagation for Social Interactions. - Darius Plikynas; Aistis Raudys; Sarunas Raudys (HCI (22), 2014)

Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners. - Sarunas Raudys; Giorgio Fumera; Aistis Raudys; Ignazio Pillai (IDEAL, 2014)

Multi-agent system based on oscillating agents for portfolio design. - Sarunas Raudys; Aistis Raudys; Darius Plikynas (ISDA, 2014)

A Price We Pay for Inexact Dimensionality Reduction. - Sarunas Raudys; Vytautas Valaitis; Zidrina Pabarskaite; Gene Biziuleviciene (IWBBIO (2), 2015)

Agent-based modelling of excitation propagation in social media groups. - Darius Plikynas; Aistis Raudys; Sarunas Raudys (J. Exp. Theor. Artif. Intell., 2015)