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Sarunas Raudys
Person information
- unicode name: Šarūnas Raudys
- affiliation: Institute of Mathematics and Informatics, Vilnius, Lithuania
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2010 – 2019
- 2015
- [j25]Darius Plikynas, Aistis Raudys, Sarunas Raudys:
Agent-based modelling of excitation propagation in social media groups. J. Exp. Theor. Artif. Intell. 27(4): 373-388 (2015) - [c48]Sarunas Raudys, Vytautas Valaitis, Zidrina Pabarskaite, Gene Biziuleviciene:
A Price We Pay for Inexact Dimensionality Reduction. IWBBIO (2) 2015: 289-300 - 2014
- [c47]Darius Plikynas, Aistis Raudys, Sarunas Raudys:
Modelling of Excitation Propagation for Social Interactions. HCI (22) 2014: 242-252 - [c46]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: 45-52 - [c45]Sarunas Raudys, Aistis Raudys, Darius Plikynas:
Multi-agent system based on oscillating agents for portfolio design. ISDA 2014: 134-139 - 2013
- [j24]Sarunas Raudys:
Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues. IEEE Trans. Neural Networks Learn. Syst. 24(3): 448-459 (2013) - 2012
- [c44]Sarunas Raudys, Aistis Raudys:
Three decision making levels in portfolio management. CIFEr 2012: 1-8 - [c43]Sarunas Raudys, Aistis Raudys, Zidrina Pabarskaite:
Multi-agent system based portfolio management in prior-to-crisis and crisis period. ISDA 2012: 279-284 - 2011
- [c42]Sarunas Raudys, Aistis Raudys:
High frequency trading portfolio optimisation: Integration of financial and human factors. ISDA 2011: 696-701 - 2010
- [j23]Sarunas Raudys, Aistis Raudys:
Pairwise Costs in Multiclass Perceptrons. IEEE Trans. Pattern Anal. Mach. Intell. 32(7): 1324-1328 (2010) - [j22]Sarunas Raudys, Rimantas Kybartas, Edmundas Kazimieras Zavadskas:
Multicategory nets of single-layer perceptrons: complexity and sample-size issues. IEEE Trans. Neural Networks 21(5): 784-795 (2010) - [c41]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: 47-56
2000 – 2009
- 2008
- [c40]Sarunas Raudys:
A Target Value Control While Training the Perceptrons in Changing Environments. ICNC (3) 2008: 54-58 - 2007
- [c39]Sarunas Raudys:
Aging in Artificial Learning Systems. ECAL 2007: 263-272 - [c38]Sarunas Raudys:
Evolution of Multi-class Single Layer Perceptron. ICANNGA (2) 2007: 1-10 - [c37]Sarunas Raudys:
Social Organization of Evolving Multiple Classifier System Functioning in Changing Environments. ICANNGA (1) 2007: 711-720 - [c36]Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov
Classifiers Fusion in Recognition of Wheat Varieties. MCS 2007: 62-71 - [c35]Sarunas Raudys, Antanas Mitasiunas:
Multi-agent System Approach to React to Sudden Environmental Changes. MLDM 2007: 810-823 - 2006
- [j21]Sarunas Raudys:
Trainable fusion rules. I. Large sample size case. Neural Networks 19(10): 1506-1516 (2006) - [j20]Sarunas Raudys:
Trainable fusion rules. II. Small sample-size effects. Neural Networks 19(10): 1517-1527 (2006) - [c34]Sarunas Raudys, Indre Zliobaite
The Multi-Agent System for Prediction of Financial Time Series. ICAISC 2006: 653-662 - [c33]Sarunas Raudys, Vitalij Denisov
A Pool of Classifiers by SLP: A Multi-class Case. ICIAR (2) 2006: 47-56 - [c32]Sarunas Raudys:
Generalization Error of Multinomial Classifier. SSPR/SPR 2006: 502-511 - [c31]Sarunas Raudys:
Feature Over-Selection. SSPR/SPR 2006: 622-631 - 2005
- [j19]Emin Çagatay Güler, Bülent Sankur, Yasemin P. Kahya, Sarunas Raudys:
Two-stage classification of respiratory sound patterns. Comput. Biol. Medicine 35(1): 67-83 (2005) - [c30]Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai:
On Understanding and Assessing Feature Selection Bias. AIME 2005: 468-472 - [c29]Sarunas Raudys, Alvydas Pumputis:
Group Interests of Agents Functioning in Changing Environments. CEEMAS 2005: 559-563 - [c28]Sarunas Raudys, Aini Hussain, Viktoras Justickis
Functional Model of Criminality: Simulation Study. CONTEXT 2005: 410-423 - [c27]Sarunas Raudys:
Effect of Synthetic Emotions on Agents' Learning Speed and Their Survivability. ECAL 2005: 1-10 - [c26]Sarunas Raudys:
Taxonomy of Classifiers Based on Dissimilarity Features. ICAPR (1) 2005: 136-145 - [c25]Sarunas Raudys, Indre Zliobaite
Prediction of Commodity Prices in Rapidly Changing Environments. ICAPR (1) 2005: 154-163 - 2004
- [c24]Sarunas Raudys:
Survival of Intelligent Agents in Changing Environments. ICAISC 2004: 109-117 - [c23]Sarunas Raudys, Zidrina Pabarskaite:
Fixed Non-linear Combining Rules versus Adaptive Ones. ICAISC 2004: 260-265 - [c22]Sarunas Raudys:
Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices. KI 2004: 270-280 - [c21]Sarunas Raudys, Masakazu Iwamura:
Multiple Classifiers System for Reducing Influences of Atypical Observations. Multiple Classifier Systems 2004: 233-242 - [c20]Sarunas Raudys, Masakazu Iwamura
Structures of Covariance Matrix in Handwritten Character Recognition. SSPR/SPR 2004: 725-733 - 2003
- [j18]Sarunas Raudys:
Experts' Boasting in Trainable Fusion Rules. IEEE Trans. Pattern Anal. Mach. Intell. 25(9): 1178-1182 (2003) - [c19]Sarunas Raudys, Viktoras Justickis
Yerkes-Dodson Law in Agents' Training. EPIA 2003: 54-58 - [c18]Sarunas Raudys, Fabio Roli
The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement. Multiple Classifier Systems 2003: 55-64 - [c17]Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner:
Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. Multiple Classifier Systems 2003: 65-73 - 2002
- [c16]Sarunas Raudys:
Multiple Classification Systems in the Context of Feature Extraction and Selection. Multiple Classifier Systems 2002: 27-41 - [c15]Fabio Roli, Sarunas Raudys, Gian Luca Marcialis:
An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs. Multiple Classifier Systems 2002: 232-241 - [c14]Arunas Janeliunas, Sarunas Raudys:
Reduction of the Boasting Bias of Linear Experts. Multiple Classifier Systems 2002: 242-251 - [c13]Ray L. Somorjai, Arunas Janeliunas, Richard Baumgartner, Sarunas Raudys:
Comparison of Two Classification Methodologies on a Real-World Biomedical Problem. SSPR/SPR 2002: 433-441 - 2001
- [b1]Sarunas Raudys:
Statistical and Neural Classifiers: An Integrated Approach to Design. Advances in Pattern Recognition, Springer 2001, ISBN 978-1-85233-297-6, pp. i-xxiii, 1-289 - [j17]Sarunas Raudys, Ausra Saudargiene:
First-Order Tree-Type Dependence between Variables and Classification Performance. IEEE Trans. Pattern Anal. Mach. Intell. 23(2): 233-239 (2001) - 2000
- [j16]Valdas Diciunas, Sarunas Raudys:
Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case. Informatica 11(4): 381-396 (2000) - [j15]Sarunas Raudys:
How good are support vector machines? Neural Networks 13(1): 17-19 (2000) - [j14]Sarunas Raudys:
Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions. Neural Networks 13(4-5): 507-523 (2000) - [j13]Sarunas Raudys:
Scaled rotation regularization. Pattern Recognit. 33(12): 1989-1998 (2000) - [j12]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): 504-511 (2000) - [c12]Sarunas Raudys:
Prior Weights in Adaptive Pattern Classification. ICPR 2000: 6010-6013 - [c11]Sarunas Raudys:
Classifier's Complexity Control while Training Multilayer Perceptrons. SSPR/SPR 2000: 32-44 - [c10]Sarunas Raudys, Minija Tamosiunaite:
Biologically Inspired Architecture of Feedforward Networks for Signal Classification. SSPR/SPR 2000: 727-736
1990 – 1999
- 1998
- [j11]Emin Çagatay Güler, Bülent Sankur, Yasemin P. Kahya, Sarunas Raudys:
Visual classification of medical data using MLP mapping. Comput. Biol. Medicine 28(3): 275-287 (1998) - [j10]Sarunas Raudys:
Intrinsic dimensionality and small sample properties of classifiers. Kybernetika 34(4): 461-466 (1998) - [j9]Sarunas Raudys:
Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers. Neural Networks 11(2): 283-296 (1998) - [j8]Sarunas Raudys:
Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations. Neural Networks 11(2): 297-313 (1998) - [j7]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): 385-392 (1998) - [c9]Sarunas Raudys, Ausra Saudargiene:
Structures of the Covariance Matrices in the Classifier Design. SSPR/SPR 1998: 583-592 - 1997
- [j6]Sarunas Raudys:
On Dimensionality, Sample Size, and Classification Error of Nonparametric Linear Classification Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 19(6): 667-671 (1997) - 1996
- [j5]Tautvydas Cibas, Françoise Fogelman-Soulié, Patrick Gallinari, Sarunas Raudys:
Variable selection with neural networks. Neurocomputing 12(2-3): 223-248 (1996) - [c8]Emin Çagatay Güler, Bülent Semkur, Yasemin P. Kahya, Sarunas Raudys:
Multi-stage nonlinear classification of respiratory sounds. EUSIPCO 1996: 1-4 - [c7]Sarunas Raudys, Tautvydas Cibas:
Regularization by Early Stopping in Single Layer Perceptron Training. ICANN 1996: 77-82 - [c6]Sarunas Raudys:
Linear classifiers in perceptron design. ICPR 1996: 763-767 - [c5]Sarunas Raudys, Valdas Diciunas:
Expected error of minimum empirical error and maximal margin classifiers. ICPR 1996: 875-879 - 1993
- [c4]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: 598-604 - 1992
- [c3]Sarunas Raudys:
Accuracy of feature selection and extraction in statistical and neural net pattern classification. ICPR (2) 1992: 62-70 - 1991
- [j4]Sarunas Raudys, Anil K. Jain:
Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners. IEEE Trans. Pattern Anal. Mach. Intell. 13(3): 252-264 (1991) - 1990
- [c2]Sarunas Raudys, Anil K. Jain:
Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems. ICPR (1) 1990: 417-423
1980 – 1989
- 1988
- [c1]Sarunas Raudys:
On the accuracy of a bootstrap estimate of the classification error. ICPR 1988: 1230-1232 - 1982
- [j3]Sarunas Raudys, Vitalijus Pikelis:
Collective selection of the best version of a pattern recognition system. Pattern Recognit. Lett. 1(1): 7-13 (1982) - 1980
- [j2]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): 242-252 (1980)
1970 – 1979
- 1979
- [j1]Sarunas Raudys:
Determination of optimal dimensionality in statistical pattern classification. Pattern Recognit. 11(4): 263-270 (1979)
Coauthor Index
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