Sarunas Raudys

74 papers B 5C 5Misc 5Journal 25Unranked 33
YearRankTypeTitle / Venue / Authors
2015 — conf
A Price We Pay for Inexact Dimensionality Reduction.
IWBBIO (2)
Sarunas Raudys, Vytautas Valaitis, Zidrina Pabarskaite, Gene Biziuleviciene
2015 J jnl
Agent-based modelling of excitation propagation in social media groups.
J. Exp. Theor. Artif. Intell.
Darius Plikynas, Aistis Raudys, Sarunas Raudys
2014 — conf
Modelling of Excitation Propagation for Social Interactions.
HCI (22)
Darius Plikynas, Aistis Raudys, Sarunas Raudys
2014 C conf
Multi-agent system based on oscillating agents for portfolio design.
ISDA
Sarunas Raudys, Aistis Raudys, Darius Plikynas
2014 C conf
Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners.
IDEAL
Sarunas Raudys, Giorgio Fumera, Aistis Raudys, Ignazio Pillai
2013 J jnl
Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues.
IEEE Trans. Neural Networks Learn. Syst.
Sarunas Raudys
2012 C conf
Multi-agent system based portfolio management in prior-to-crisis and crisis period.
ISDA
Sarunas Raudys, Aistis Raudys, Zidrina Pabarskaite
2012 — conf
Three decision making levels in portfolio management.
CIFEr
Sarunas Raudys, Aistis Raudys
2011 C conf
High frequency trading portfolio optimisation: Integration of financial and human factors.
ISDA
Sarunas Raudys, Aistis Raudys
2010 J jnl
Multicategory nets of single-layer perceptrons: complexity and sample-size issues.
IEEE Trans. Neural Networks
Sarunas Raudys, Rimantas Kybartas, Edmundas Kazimieras Zavadskas
2010 — conf
Multiclass Mineral Recognition Using Similarity Features and Ensembles of Pair-Wise Classifiers.
IEA/AIE (2)
Rimantas Kybartas, Nurdan Akhan Baykan, Nihat Yilmaz, Sarunas Raudys
2010 J jnl
Pairwise Costs in Multiclass Perceptrons.
IEEE Trans. Pattern Anal. Mach. Intell.
Sarunas Raudys, Aistis Raudys
2008 — conf
A Target Value Control While Training the Perceptrons in Changing Environments.
ICNC (3)
Sarunas Raudys
2007 — conf
Aging in Artificial Learning Systems.
ECAL
Sarunas Raudys
2007 — conf
Classifiers Fusion in Recognition of Wheat Varieties.
MCS
Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis
2007 — conf
Evolution of Multi-class Single Layer Perceptron.
ICANNGA (2)
Sarunas Raudys
2007 — conf
Multi-agent System Approach to React to Sudden Environmental Changes.
MLDM
Sarunas Raudys, Antanas Mitasiunas
2007 — conf
Social Organization of Evolving Multiple Classifier System Functioning in Changing Environments.
ICANNGA (1)
Sarunas Raudys
2006 — conf
A Pool of Classifiers by SLP: A Multi-class Case.
ICIAR (2)
Sarunas Raudys, Vitalij Denisov, Antanas Andrius Bielskis
2006 — conf
Feature Over-Selection.
SSPR/SPR
Sarunas Raudys
2006 — conf
Generalization Error of Multinomial Classifier.
SSPR/SPR
Sarunas Raudys
2006 Misc conf
The Multi-Agent System for Prediction of Financial Time Series.
ICAISC
Sarunas Raudys, Indre Zliobaite
2006 J jnl
Trainable fusion rules. I. Large sample size case.
Neural Networks
Sarunas Raudys
2006 J jnl
Trainable fusion rules. II. Small sample-size effects.
Neural Networks
Sarunas Raudys
2005 — conf
Effect of Synthetic Emotions on Agents' Learning Speed and Their Survivability.
ECAL
Sarunas Raudys
2005 — conf
Functional Model of Criminality: Simulation Study.
CONTEXT
Sarunas Raudys, Aini Hussain, Viktoras Justickis, Alvydas Pumputis, Arunas Augustinaitis
2005 — conf
Group Interests of Agents Functioning in Changing Environments.
CEEMAS
Sarunas Raudys, Alvydas Pumputis
2005 B conf
On Understanding and Assessing Feature Selection Bias.
AIME
Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai
2005 — conf
Prediction of Commodity Prices in Rapidly Changing Environments.
ICAPR (1)
Sarunas Raudys, Indre Zliobaite
2005 — conf
Taxonomy of Classifiers Based on Dissimilarity Features.
ICAPR (1)
Sarunas Raudys
2005 J jnl
Two-stage classification of respiratory sound patterns.
Comput. Biol. Medicine
Emin Çagatay Güler, Bülent Sankur, Yasemin P. Kahya, Sarunas Raudys
2004 Misc conf
Fixed Non-linear Combining Rules versus Adaptive Ones.
ICAISC
Sarunas Raudys, Zidrina Pabarskaite
2004 Misc conf
Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices.
KI
Sarunas Raudys
2004 — conf
Multiple Classifiers System for Reducing Influences of Atypical Observations.
Multiple Classifier Systems
Sarunas Raudys, Masakazu Iwamura
2004 — conf
Structures of Covariance Matrix in Handwritten Character Recognition.
SSPR/SPR
Sarunas Raudys, Masakazu Iwamura
2004 Misc conf
Survival of Intelligent Agents in Changing Environments.
ICAISC
Sarunas Raudys
2003 J jnl
Experts' Boasting in Trainable Fusion Rules.
IEEE Trans. Pattern Anal. Mach. Intell.
Sarunas Raudys
2003 — conf
Reducing the Overconfidence of Base Classifiers when Combining Their Decisions.
Multiple Classifier Systems
Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner
2003 — conf
The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement.
Multiple Classifier Systems
Sarunas Raudys, Fabio Roli
2003 Misc conf
Yerkes-Dodson Law in Agents' Training.
EPIA
Sarunas Raudys, Viktoras Justickis
2002 — conf
An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs.
Multiple Classifier Systems
Fabio Roli, Sarunas Raudys, Gian Luca Marcialis
2002 — conf
Comparison of Two Classification Methodologies on a Real-World Biomedical Problem.
SSPR/SPR
Ray L. Somorjai, Arunas Janeliunas, Richard Baumgartner, Sarunas Raudys
2002 — conf
Multiple Classification Systems in the Context of Feature Extraction and Selection.
Multiple Classifier Systems
Sarunas Raudys
2002 — conf
Reduction of the Boasting Bias of Linear Experts.
Multiple Classifier Systems
Arunas Janeliunas, Sarunas Raudys
2001 J jnl
First-Order Tree-Type Dependence between Variables and Classification Performance.
IEEE Trans. Pattern Anal. Mach. Intell.
Sarunas Raudys, Ausra Saudargiene
2001 — book
Statistical and Neural Classifiers: An Integrated Approach to Design
Sarunas Raudys
2000 — conf
Biologically Inspired Architecture of Feedforward Networks for Signal Classification.
SSPR/SPR
Sarunas Raudys, Minija Tamosiunaite
2000 — conf
Classifier's Complexity Control while Training Multilayer Perceptrons.
SSPR/SPR
Sarunas Raudys
2000 J jnl
Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions.
Neural Networks
Sarunas Raudys
2000 J jnl
Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case.
Informatica
Valdas Diciunas, Sarunas Raudys
2000 J jnl
How good are support vector machines?
Neural Networks
Sarunas Raudys
2000 B conf
Prior Weights in Adaptive Pattern Classification.
ICPR
Sarunas Raudys
2000 J jnl
Scaled rotation regularization.
Pattern Recognit.
Sarunas Raudys
2000 J jnl
k-nearest neighbors directed noise injection in multilayer perceptron training.
IEEE Trans. Neural Networks Learn. Syst.
Marina Skurichina, Sarunas Raudys, Robert P. W. Duin
1998 J jnl
Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations.
Neural Networks
Sarunas Raudys
1998 J jnl
Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers.
Neural Networks
Sarunas Raudys
1998 J jnl
Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix.
Pattern Recognit. Lett.
Sarunas Raudys, Robert P. W. Duin
1998 J jnl
Intrinsic dimensionality and small sample properties of classifiers.
Kybernetika
Sarunas Raudys
1998 — conf
Structures of the Covariance Matrices in the Classifier Design.
SSPR/SPR
Sarunas Raudys, Ausra Saudargiene
1998 J jnl
Visual classification of medical data using MLP mapping.
Comput. Biol. Medicine
Emin Çagatay Güler, Bülent Sankur, Yasemin P. Kahya, Sarunas Raudys
1997 J jnl
On Dimensionality, Sample Size, and Classification Error of Nonparametric Linear Classification Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell.
Sarunas Raudys
1996 B conf
Expected error of minimum empirical error and maximal margin classifiers.
ICPR
Sarunas Raudys, Valdas Diciunas
1996 B conf
Linear classifiers in perceptron design.
ICPR
Sarunas Raudys
1996 — conf
Multi-stage nonlinear classification of respiratory sounds.
EUSIPCO
Emin Çagatay Güler, Bülent Semkur, Yasemin P. Kahya, Sarunas Raudys
1996 C conf
Regularization by Early Stopping in Single Layer Perceptron Training.
ICANN
Sarunas Raudys, Tautvydas Cibas
1996 J jnl
Variable selection with neural networks.
Neurocomputing
Tautvydas Cibas, Françoise Fogelman-Soulié, Patrick Gallinari, Sarunas Raudys
1993 — conf
Initializations, back-propagation and generalization of feed-forward classifiers.
ICNN
Wouter F. Schmidt, Sarunas Raudys, Martin A. Kraaijveld, Marina Skurikhina, Robert P. W. Duin
1992 — conf
Accuracy of feature selection and extraction in statistical and neural net pattern classification.
ICPR (2)
Sarunas Raudys
1991 J jnl
Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners.
IEEE Trans. Pattern Anal. Mach. Intell.
Sarunas Raudys, Anil K. Jain
1990 — conf
Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems.
ICPR (1)
Sarunas Raudys, Anil K. Jain
1988 B conf
On the accuracy of a bootstrap estimate of the classification error.
ICPR
Sarunas Raudys
1982 J jnl
Collective selection of the best version of a pattern recognition system.
Pattern Recognit. Lett.
Sarunas Raudys, Vitalijus Pikelis
1980 J jnl
On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Sarunas Raudys, Vitalijus Pikelis
1979 J jnl
Determination of optimal dimensionality in statistical pattern classification.
Pattern Recognit.
Sarunas Raudys