Sarunas Raudys

According to our database, Sarunas Raudys authored at least 74 papers between 1979 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2015

Agent-based modelling of excitation propagation in social media groups.

Darius Plikynas, Aistis Raudys, Sarunas Raudys

J. Exp. Theor. Artif. Intell., 2015

A Price We Pay for Inexact Dimensionality Reduction.

Sarunas Raudys, Vytautas Valaitis, Zidrina Pabarskaite, Gene Biziuleviciene

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

2014

Multi-agent system based on oscillating agents for portfolio design.

Sarunas Raudys, Aistis Raudys, Darius Plikynas

Proceedings of the 14th International Conference on Intelligent Systems Design and Applications, 2014

Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners.

Sarunas Raudys, Giorgio Fumera, Aistis Raudys, Ignazio Pillai

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Modelling of Excitation Propagation for Social Interactions.

Darius Plikynas, Aistis Raudys, Sarunas Raudys

Proceedings of the Social Computing and Social Media, 2014

2013

Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues.

Sarunas Raudys

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

Multi-agent system based portfolio management in prior-to-crisis and crisis period.

Sarunas Raudys, Aistis Raudys, Zidrina Pabarskaite

Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Three decision making levels in portfolio management.

Sarunas Raudys, Aistis Raudys

Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011

High frequency trading portfolio optimisation: Integration of financial and human factors.

Sarunas Raudys, Aistis Raudys

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010

Multicategory nets of single-layer perceptrons: complexity and sample-size issues.

Sarunas Raudys, Rimantas Kybartas, Edmundas Kazimieras Zavadskas

IEEE Trans. Neural Networks, 2010

Pairwise Costs in Multiclass Perceptrons.

Sarunas Raudys, Aistis Raudys

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Multiclass Mineral Recognition Using Similarity Features and Ensembles of Pair-Wise Classifiers.

Rimantas Kybartas, Nurdan Akhan Baykan, Nihat Yilmaz, Sarunas Raudys

Proceedings of the Trends in Applied Intelligent Systems, 2010

2008

A Target Value Control While Training the Perceptrons in Changing Environments.

Sarunas Raudys

Proceedings of the Fourth International Conference on Natural Computation, 2008

2007

Multi-agent System Approach to React to Sudden Environmental Changes.

Sarunas Raudys, Antanas Mitasiunas

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Classifiers Fusion in Recognition of Wheat Varieties.

Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Evolution of Multi-class Single Layer Perceptron.

Sarunas Raudys

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Social Organization of Evolving Multiple Classifier System Functioning in Changing Environments.

Sarunas Raudys

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Aging in Artificial Learning Systems.

Sarunas Raudys

Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

2006

Trainable fusion rules. II. Small sample-size effects.

Sarunas Raudys

Neural Networks, 2006

Trainable fusion rules. I. Large sample size case.

Sarunas Raudys

Neural Networks, 2006

Feature Over-Selection.

Sarunas Raudys

Proceedings of the Structural, 2006

Generalization Error of Multinomial Classifier.

Sarunas Raudys

Proceedings of the Structural, 2006

A Pool of Classifiers by SLP: A Multi-class Case.

Sarunas Raudys, Vitalij Denisov, Antanas Andrius Bielskis

Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

The Multi-Agent System for Prediction of Financial Time Series.

Sarunas Raudys, Indre Zliobaite

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005

Two-stage classification of respiratory sound patterns.

Emin Çagatay Güler, Bülent Sankur, Yasemin P. Kahya, Sarunas Raudys

Comput. Biol. Medicine, 2005

Prediction of Commodity Prices in Rapidly Changing Environments.

Sarunas Raudys, Indre Zliobaite

Proceedings of the Pattern Recognition and Data Mining, 2005

Taxonomy of Classifiers Based on Dissimilarity Features.

Sarunas Raudys

Proceedings of the Pattern Recognition and Data Mining, 2005

Effect of Synthetic Emotions on Agents' Learning Speed and Their Survivability.

Sarunas Raudys

Proceedings of the Advances in Artificial Life, 8th European Conference, 2005

Functional Model of Criminality: Simulation Study.

Sarunas Raudys, Aini Hussain, Viktoras Justickis, Alvydas Pumputis, Arunas Augustinaitis

Proceedings of the Modeling and Using Context, 2005

Group Interests of Agents Functioning in Changing Environments.

Sarunas Raudys, Alvydas Pumputis

Proceedings of the Multi-Agent Systems and Applications IV, 2005

On Understanding and Assessing Feature Selection Bias.

Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai

Proceedings of the Artificial Intelligence in Medicine, 2005

2004

Structures of Covariance Matrix in Handwritten Character Recognition.

Sarunas Raudys, Masakazu Iwamura

Proceedings of the Structural, 2004

Multiple Classifiers System for Reducing Influences of Atypical Observations.

Sarunas Raudys, Masakazu Iwamura

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices.

Sarunas Raudys

Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

Fixed Non-linear Combining Rules versus Adaptive Ones.

Sarunas Raudys, Zidrina Pabarskaite

Proceedings of the Artificial Intelligence and Soft Computing, 2004

Survival of Intelligent Agents in Changing Environments.

Sarunas Raudys

Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003

Experts' Boasting in Trainable Fusion Rules.

Sarunas Raudys

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Reducing the Overconfidence of Base Classifiers when Combining Their Decisions.

Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement.

Sarunas Raudys, Fabio Roli

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Yerkes-Dodson Law in Agents' Training.

Sarunas Raudys, Viktoras Justickis

Proceedings of the Progress in Artificial Intelligence, 2003

2002

Comparison of Two Classification Methodologies on a Real-World Biomedical Problem.

Ray L. Somorjai, Arunas Janeliunas, Richard Baumgartner, Sarunas Raudys

Proceedings of the Structural, 2002

An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs.

Fabio Roli, Sarunas Raudys, Gian Luca Marcialis

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Multiple Classification Systems in the Context of Feature Extraction and Selection.

Sarunas Raudys

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Reduction of the Boasting Bias of Linear Experts.

Arunas Janeliunas, Sarunas Raudys

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

2001

Statistical and Neural Classifiers: An Integrated Approach to Design

Sarunas Raudys

Advances in Pattern Recognition, Springer, ISBN: 978-1-4471-0359-2, 2001

First-Order Tree-Type Dependence between Variables and Classification Performance.

Sarunas Raudys, Ausra Saudargiene

IEEE Trans. Pattern Anal. Mach. Intell., 2001

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

Scaled rotation regularization.

Sarunas Raudys

Pattern Recognit., 2000

Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions.

Sarunas Raudys

Neural Networks, 2000

How good are support vector machines?

Sarunas Raudys

Neural Networks, 2000

Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case.

Valdas Diciunas, Sarunas Raudys

Informatica, 2000

Biologically Inspired Architecture of Feedforward Networks for Signal Classification.

Sarunas Raudys, Minija Tamosiunaite

Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Classifier's Complexity Control while Training Multilayer Perceptrons.

Sarunas Raudys

Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Prior Weights in Adaptive Pattern Classification.

Sarunas Raudys

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1998

Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix.

Sarunas Raudys, Robert P. W. Duin

Pattern Recognit. Lett., 1998

Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations.

Sarunas Raudys

Neural Networks, 1998

Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers.

Sarunas Raudys

Neural Networks, 1998

Intrinsic dimensionality and small sample properties of classifiers.

Sarunas Raudys

Kybernetika, 1998

Visual classification of medical data using MLP mapping.

Emin Çagatay Güler, Bülent Sankur, Yasemin P. Kahya, Sarunas Raudys

Comput. Biol. Medicine, 1998

Structures of the Covariance Matrices in the Classifier Design.

Sarunas Raudys, Ausra Saudargiene

Proceedings of the Advances in Pattern Recognition, 1998

1997

On Dimensionality, Sample Size, and Classification Error of Nonparametric Linear Classification Algorithms.

Sarunas Raudys

IEEE Trans. Pattern Anal. Mach. Intell., 1997

1996

Variable selection with neural networks.

Tautvydas Cibas, Françoise Fogelman-Soulié, Patrick Gallinari, Sarunas Raudys

Neurocomputing, 1996

Expected error of minimum empirical error and maximal margin classifiers.

Sarunas Raudys, Valdas Diciunas

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Linear classifiers in perceptron design.

Sarunas Raudys

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Regularization by Early Stopping in Single Layer Perceptron Training.

Sarunas Raudys, Tautvydas Cibas

Proceedings of the Artificial Neural Networks, 1996

Multi-stage nonlinear classification of respiratory sounds.

Emin Çagatay Güler, Bülent Semkur, Yasemin P. Kahya, Sarunas Raudys

Proceedings of the 8th European Signal Processing Conference, 1996

1993

Initializations, back-propagation and generalization of feed-forward classifiers.

Wouter F. Schmidt, Sarunas Raudys, Martin A. Kraaijveld, Marina Skurikhina, Robert P. W. Duin

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

Accuracy of feature selection and extraction in statistical and neural net pattern classification.

Sarunas Raudys

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991

Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners.

Sarunas Raudys, Anil K. Jain

IEEE Trans. Pattern Anal. Mach. Intell., 1991

1990

Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems.

Sarunas Raudys, Anil K. Jain

Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

1988

On the accuracy of a bootstrap estimate of the classification error.

Sarunas Raudys

Proceedings of the 9th International Conference on Pattern Recognition, 1988

1982

Collective selection of the best version of a pattern recognition system.

Sarunas Raudys, Vitalijus Pikelis

Pattern Recognit. Lett., 1982

1980

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

1979

Determination of optimal dimensionality in statistical pattern classification.

Sarunas Raudys

Pattern Recognit., 1979