Sarunas Raudys

Publication Activity (10 Years)

Years Active: 1979-2015
Publications (10 Years): 2

Top Topics

Emergency Evacuation

Agent Based Modelling

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Darius Plikynas, Aistis Raudys, Sarunas Raudys
Agent-based modelling of excitation propagation in social media groups. J. Exp. Theor. Artif. Intell. 27 (4) (2015)
Sarunas Raudys, Vytautas Valaitis, Zidrina Pabarskaite, Gene Biziuleviciene
A Price We Pay for Inexact Dimensionality Reduction. IWBBIO (2) (2015)
Darius Plikynas, Aistis Raudys, Sarunas Raudys
Modelling of Excitation Propagation for Social Interactions. HCI (22) (2014)
Sarunas Raudys, Giorgio Fumera, Aistis Raudys, Ignazio Pillai
Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners. IDEAL (2014)
Sarunas Raudys, Aistis Raudys, Darius Plikynas
Multi-agent system based on oscillating agents for portfolio design. ISDA (2014)
Sarunas Raudys
Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues. IEEE Trans. Neural Networks Learn. Syst. 24 (3) (2013)
Sarunas Raudys, Aistis Raudys, Zidrina Pabarskaite
Multi-agent system based portfolio management in prior-to-crisis and crisis period. ISDA (2012)
Sarunas Raudys, Aistis Raudys
Three decision making levels in portfolio management. CIFEr (2012)
Sarunas Raudys, Aistis Raudys
High frequency trading portfolio optimisation: Integration of financial and human factors. ISDA (2011)
Sarunas Raudys, Rimantas Kybartas, Edmundas Kazimieras Zavadskas
Multicategory nets of single-layer perceptrons: complexity and sample-size issues. IEEE Trans. Neural Networks 21 (5) (2010)
Rimantas Kybartas, Nurdan Akhan Baykan, Nihat Yilmaz, Sarunas Raudys
Multiclass Mineral Recognition Using Similarity Features and Ensembles of Pair-Wise Classifiers. IEA/AIE (2) (2010)
Sarunas Raudys, Aistis Raudys
Pairwise Costs in Multiclass Perceptrons. IEEE Trans. Pattern Anal. Mach. Intell. 32 (7) (2010)
Sarunas Raudys
A Target Value Control While Training the Perceptrons in Changing Environments. ICNC (3) (2008)
Sarunas Raudys
Aging in Artificial Learning Systems. ECAL (2007)
Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis
Classifiers Fusion in Recognition of Wheat Varieties. MCS (2007)
Sarunas Raudys
Social Organization of Evolving Multiple Classifier System Functioning in Changing Environments. ICANNGA (1) (2007)
Sarunas Raudys, Antanas Mitasiunas
Multi-agent System Approach to React to Sudden Environmental Changes. MLDM (2007)
Sarunas Raudys
Evolution of Multi-class Single Layer Perceptron. ICANNGA (2) (2007)
Sarunas Raudys
Trainable fusion rules. I. Large sample size case. Neural Networks 19 (10) (2006)
Sarunas Raudys
Generalization Error of Multinomial Classifier. SSPR/SPR (2006)
Sarunas Raudys
Trainable fusion rules. II. Small sample-size effects. Neural Networks 19 (10) (2006)
Sarunas Raudys
Feature Over-Selection. SSPR/SPR (2006)
Sarunas Raudys, Vitalij Denisov, Antanas Andrius Bielskis
A Pool of Classifiers by SLP: A Multi-class Case. ICIAR (2) (2006)
Sarunas Raudys, Indre Zliobaite
The Multi-Agent System for Prediction of Financial Time Series. ICAISC (2006)
Sarunas Raudys, Alvydas Pumputis
Group Interests of Agents Functioning in Changing Environments. CEEMAS (2005)
Sarunas Raudys, Aini Hussain, Viktoras Justickis, Alvydas Pumputis, Arunas Augustinaitis
Functional Model of Criminality: Simulation Study. CONTEXT (2005)
Emin Çagatay Güler, Bülent Sankur, Yasemin P. Kahya, Sarunas Raudys
Two-stage classification of respiratory sound patterns. Comput. Biol. Medicine 35 (1) (2005)
Sarunas Raudys
Taxonomy of Classifiers Based on Dissimilarity Features. ICAPR (1) (2005)
Sarunas Raudys, Indre Zliobaite
Prediction of Commodity Prices in Rapidly Changing Environments. ICAPR (1) (2005)
Sarunas Raudys
Effect of Synthetic Emotions on Agents' Learning Speed and Their Survivability. ECAL (2005)
Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai
On Understanding and Assessing Feature Selection Bias. AIME (2005)
Sarunas Raudys
Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices. KI (2004)
Sarunas Raudys, Zidrina Pabarskaite
Fixed Non-linear Combining Rules versus Adaptive Ones. ICAISC (2004)
Sarunas Raudys, Masakazu Iwamura
Multiple Classifiers System for Reducing Influences of Atypical Observations. Multiple Classifier Systems (2004)
Sarunas Raudys
Survival of Intelligent Agents in Changing Environments. ICAISC (2004)
Sarunas Raudys, Masakazu Iwamura
Structures of Covariance Matrix in Handwritten Character Recognition. SSPR/SPR (2004)
Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner
Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. Multiple Classifier Systems (2003)
Sarunas Raudys, Fabio Roli
The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement. Multiple Classifier Systems (2003)
Sarunas Raudys, Viktoras Justickis
Yerkes-Dodson Law in Agents' Training. EPIA (2003)
Sarunas Raudys
Experts' Boasting in Trainable Fusion Rules. IEEE Trans. Pattern Anal. Mach. Intell. 25 (9) (2003)
Fabio Roli, Sarunas Raudys, Gian Luca Marcialis
An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs. Multiple Classifier Systems (2002)
Ray L. Somorjai, Arunas Janeliunas, Richard Baumgartner, Sarunas Raudys
Comparison of Two Classification Methodologies on a Real-World Biomedical Problem. SSPR/SPR (2002)
Sarunas Raudys
Multiple Classification Systems in the Context of Feature Extraction and Selection. Multiple Classifier Systems (2002)
Arunas Janeliunas, Sarunas Raudys
Reduction of the Boasting Bias of Linear Experts. Multiple Classifier Systems (2002)
Sarunas Raudys, Ausra Saudargiene
First-Order Tree-Type Dependence between Variables and Classification Performance. IEEE Trans. Pattern Anal. Mach. Intell. 23 (2) (2001)
Sarunas Raudys
Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions. Neural Networks 13 (4-5) (2000)
Sarunas Raudys, Minija Tamosiunaite
Biologically Inspired Architecture of Feedforward Networks for Signal Classification. SSPR/SPR (2000)
Valdas Diciunas, Sarunas Raudys
Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case. Informatica 11 (4) (2000)
Sarunas Raudys
Classifier's Complexity Control while Training Multilayer Perceptrons. SSPR/SPR (2000)
Sarunas Raudys
Scaled rotation regularization. Pattern Recognit. 33 (12) (2000)
Sarunas Raudys
Prior Weights in Adaptive Pattern Classification. ICPR (2000)
Sarunas Raudys
How good are support vector machines? Neural Networks 13 (1) (2000)
Marina Skurichina, Sarunas Raudys, Robert P. W. Duin
k-nearest neighbors directed noise injection in multilayer perceptron training. IEEE Trans. Neural Networks Learn. Syst. 11 (2) (2000)
Sarunas Raudys, Robert P. W. Duin
Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix. Pattern Recognit. Lett. 19 (5-6) (1998)
Sarunas Raudys
Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations. Neural Networks 11 (2) (1998)
Sarunas Raudys
Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers. Neural Networks 11 (2) (1998)
Emin Çagatay Güler, Bülent Sankur, Yasemin P. Kahya, Sarunas Raudys
Visual classification of medical data using MLP mapping. Comput. Biol. Medicine 28 (3) (1998)
Sarunas Raudys, Ausra Saudargiene
Structures of the Covariance Matrices in the Classifier Design. SSPR/SPR (1998)
Sarunas Raudys
Intrinsic dimensionality and small sample properties of classifiers. Kybernetika 34 (4) (1998)
Sarunas Raudys
On Dimensionality, Sample Size, and Classification Error of Nonparametric Linear Classification Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 19 (6) (1997)
Sarunas Raudys
Linear classifiers in perceptron design. ICPR (1996)
Tautvydas Cibas, Françoise Fogelman-Soulié, Patrick Gallinari, Sarunas Raudys
Variable selection with neural networks. Neurocomputing 12 (2-3) (1996)
Sarunas Raudys, Valdas Diciunas
Expected error of minimum empirical error and maximal margin classifiers. ICPR (1996)
Sarunas Raudys, Tautvydas Cibas
Regularization by Early Stopping in Single Layer Perceptron Training. ICANN (1996)
Emin Çagatay Güler, Bülent Semkur, Yasemin P. Kahya, Sarunas Raudys
Multi-stage nonlinear classification of respiratory sounds. EUSIPCO (1996)
Wouter F. Schmidt, Sarunas Raudys, Martin A. Kraaijveld, Marina Skurikhina, Robert P. W. Duin
Initializations, back-propagation and generalization of feed-forward classifiers. ICNN (1993)
Sarunas Raudys
Accuracy of feature selection and extraction in statistical and neural net pattern classification. ICPR (2) (1992)
Sarunas Raudys, Anil K. Jain
Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners. IEEE Trans. Pattern Anal. Mach. Intell. 13 (3) (1991)
Sarunas Raudys, Anil K. Jain
Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems. ICPR (1) (1990)
Sarunas Raudys
On the accuracy of a bootstrap estimate of the classification error. ICPR (1988)
Sarunas Raudys, Vitalijus Pikelis
Collective selection of the best version of a pattern recognition system. Pattern Recognit. Lett. 1 (1) (1982)
Sarunas Raudys, Vitalijus Pikelis
On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 2 (3) (1980)
Sarunas Raudys
Determination of optimal dimensionality in statistical pattern classification. Pattern Recognit. 11 (4) (1979)