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 | 2013 | |
|---|---|---|
| j20 |      | Sarunas Raudys: Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues. IEEE Trans. Neural Netw. Learning Syst. 24(3): 448-459 (2013) |
| 2012 | ||
| c35 | | Sarunas Raudys, Aistis Raudys, Zidrina Pabarskaite: Multi-agent system based portfolio management in prior-to-crisis and crisis period. ISDA 2012: 279-284 |
| 2011 | ||
| c34 | | Sarunas Raudys, Aistis Raudys: High frequency trading portfolio optimisation: Integration of financial and human factors. ISDA 2011: 696-701 |
| 2010 | ||
| j19 | | Sarunas Raudys, Aistis Raudys: Pairwise Costs in Multiclass Perceptrons. IEEE Trans. Pattern Anal. Mach. Intell. 32(7): 1324-1328 (2010) |
| j18 | | Sarunas Raudys, Rimantas Kybartas, Edmundas Kazimieras Zavadskas: Multicategory nets of single-layer perceptrons: complexity and sample-size issues. IEEE Transactions on Neural Networks 21(5): 784-795 (2010) |
| c33 | | 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 |
| 2007 | ||
| c32 | | |
| c31 | | |
| c30 | | Sarunas Raudys: Social Organization of Evolving Multiple Classifier System Functioning in Changing Environments. ICANNGA (1) 2007: 711-720 |
| c29 | | Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis: Classifiers Fusion in Recognition of Wheat Varieties. MCS 2007: 62-71 |
| c28 | | Sarunas Raudys, Antanas Mitasiunas: Multi-agent System Approach to React to Sudden Environmental Changes. MLDM 2007: 810-823 |
| 2006 | ||
| j17 | | Sarunas Raudys: Trainable fusion rules. I. Large sample size case. Neural Networks 19(10): 1506-1516 (2006) |
| j16 | | Sarunas Raudys: Trainable fusion rules. II. Small sample-size effects. Neural Networks 19(10): 1517-1527 (2006) |
| c27 | | Sarunas Raudys, Indre Zliobaite: The Multi-Agent System for Prediction of Financial Time Series. ICAISC 2006: 653-662 |
| c26 | | Sarunas Raudys, Vitalij Denisov, Antanas Andrius Bielskis: A Pool of Classifiers by SLP: A Multi-class Case. ICIAR (2) 2006: 47-56 |
| c25 | | |
| c24 | | |
| 2005 | ||
| j15 | | Emin Çagatay Güler, Bülent Sankur, Yasemin P. Kahya, Sarunas Raudys: Two-stage classification of respiratory sound patterns. Comp. in Bio. and Med. 35(1): 67-83 (2005) |
| c23 | | Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai: On Understanding and Assessing Feature Selection Bias. AIME 2005: 468-472 |
| c22 | | Sarunas Raudys, Alvydas Pumputis: Group Interests of Agents Functioning in Changing Environments. CEEMAS 2005: 559-563 |
| c21 | | Sarunas Raudys, Aini Hussain, Viktoras Justickis, Alvydas Pumputis, Arunas Augustinaitis: Functional Model of Criminality: Simulation Study. CONTEXT 2005: 410-423 |
| c20 | | Sarunas Raudys: Effect of Synthetic Emotions on Agents' Learning Speed and Their Survivability. ECAL 2005: 1-10 |
| c19 | | |
| c18 | | Sarunas Raudys, Indre Zliobaite: Prediction of Commodity Prices in Rapidly Changing Environments. ICAPR (1) 2005: 154-163 |
| 2004 | ||
| c17 | | |
| c16 | | Sarunas Raudys, Zidrina Pabarskaite: Fixed Non-linear Combining Rules versus Adaptive Ones. ICAISC 2004: 260-265 |
| c15 | | Sarunas Raudys: Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices. KI 2004: 270-280 |
| c14 | | Sarunas Raudys, Masakazu Iwamura: Multiple Classifiers System for Reducing Influences of Atypical Observations. Multiple Classifier Systems 2004: 233-242 |
| c13 | | Sarunas Raudys, Masakazu Iwamura: Structures of Covariance Matrix in Handwritten Character Recognition. SSPR/SPR 2004: 725-733 |
| 2003 | ||
| j14 | | Sarunas Raudys: Experts' Boasting in Trainable Fusion Rules. IEEE Trans. Pattern Anal. Mach. Intell. 25(9): 1178-1182 (2003) |
| c12 | | |
| c11 | | 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 |
| c10 | | Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner: Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. Multiple Classifier Systems 2003: 65-73 |
| 2002 | ||
| c9 | | Sarunas Raudys: Multiple Classification Systems in the Context of Feature Extraction and Selection. Multiple Classifier Systems 2002: 27-41 |
| c8 | | 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 |
| c7 | | Arunas Janeliunas, Sarunas Raudys: Reduction of the Boasting Bias of Linear Experts. Multiple Classifier Systems 2002: 242-251 |
| c6 | | 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 | ||
| j13 | | 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 | ||
| j12 | | Valdas Diciunas, Sarunas Raudys: Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case. Informatica, Lith. Acad. Sci. 11(4): 381-396 (2000) |
| j11 | | |
| j10 | | 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) |
| j9 | | |
| j8 | | Marina Skurichina, Sarunas Raudys, Robert P. W. Duin: k-nearest neighbors directed noise injection in multilayer perceptron training. IEEE Trans. Neural Netw. Learning Syst. 11(2): 504-511 (2000) |
| c5 | | |
| c4 | | Sarunas Raudys: Classifier's Complexity Control while Training Multilayer Perceptrons. SSPR/SPR 2000: 32-44 |
| c3 | | Sarunas Raudys, Minija Tamosiunaite: Biologically Inspired Architecture of Feedforward Networks for Signal Classification. SSPR/SPR 2000: 727-736 |
| 1998 | ||
| j7 | | Sarunas Raudys: Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers. Neural Networks 11(2): 283-296 (1998) |
| j6 | | 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) |
| j5 | | Sarunas Raudys, Robert P. W. Duin: Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix. Pattern Recognition Letters 19(5-6): 385-392 (1998) |
| c2 | | Sarunas Raudys, Ausra Saudargiene: Structures of the Covariance Matrices in the Classifier Design. SSPR/SPR 1998: 583-592 |
| 1997 | ||
| j4 | | 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 | ||
| j3 | | Tautvydas Cibas, Françoise Fogelman-Soulié, Patrick Gallinari, Sarunas Raudys: Variable selection with neural networks. Neurocomputing 12(2-3): 223-248 (1996) |
| c1 | | Sarunas Raudys, Tautvydas Cibas: Regularization by Early Stopping in Single Layer Perceptron Training. ICANN 1996: 77-82 |
| 1991 | ||
| j2 | | 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) |
| 1979 | ||
| j1 | | Sarunas Raudys: Determination of optimal dimensionality in statistical pattern classification. Pattern Recognition 11(4): 263-270 (1979) |
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