Sarunas Raudys

2007
47	EE	Sarunas Raudys: Aging in Artificial Learning Systems. ECAL 2007: 263-272
46	EE	Sarunas Raudys: Social Organization of Evolving Multiple Classifier System Functioning in Changing Environments. ICANNGA (1) 2007: 711-720
45	EE	Sarunas Raudys: Evolution of Multi-class Single Layer Perceptron. ICANNGA (2) 2007: 1-10
44	EE	Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis: Classifiers Fusion in Recognition of Wheat Varieties. MCS 2007: 62-71
43	EE	Sarunas Raudys, Antanas Mitasiunas: Multi-agent System Approach to React to Sudden Environmental Changes. MLDM 2007: 810-823
2006
42	EE	Sarunas Raudys, Indre Zliobaite: The Multi-Agent System for Prediction of Financial Time Series. ICAISC 2006: 653-662
41	EE	Sarunas Raudys, Vitalij Denisov, Antanas Andrius Bielskis: A Pool of Classifiers by SLP: A Multi-class Case. ICIAR (2) 2006: 47-56
40	EE	Sarunas Raudys: Generalization Error of Multinomial Classifier. SSPR/SPR 2006: 502-511
39	EE	Sarunas Raudys: Feature Over-Selection. SSPR/SPR 2006: 622-631
38	EE	Sarunas Raudys: Trainable fusion rules. I. Large sample size case. Neural Networks 19(10): 1506-1516 (2006)
37	EE	Sarunas Raudys: Trainable fusion rules. II. Small sample-size effects. Neural Networks 19(10): 1517-1527 (2006)
2005
36	EE	Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai: On Understanding and Assessing Feature Selection Bias. AIME 2005: 468-472
35	EE	Sarunas Raudys, Alvydas Pumputis: Group Interests of Agents Functioning in Changing Environments. CEEMAS 2005: 559-563
34	EE	Sarunas Raudys, Aini Hussain, Viktoras Justickis, Alvydas Pumputis, Arunas Augustinaitis: Functional Model of Criminality: Simulation Study. CONTEXT 2005: 410-423
33	EE	Sarunas Raudys: Effect of Synthetic Emotions on Agents' Learning Speed and Their Survivability. ECAL 2005: 1-10
32	EE	Sarunas Raudys: Taxonomy of Classifiers Based on Dissimilarity Features. ICAPR (1) 2005: 136-145
31	EE	Sarunas Raudys, Indre Zliobaite: Prediction of Commodity Prices in Rapidly Changing Environments. ICAPR (1) 2005: 154-163
2004
30	EE	Sarunas Raudys: Survival of Intelligent Agents in Changing Environments. ICAISC 2004: 109-117
29	EE	Sarunas Raudys, Zidrina Pabarskaite: Fixed Non-linear Combining Rules versus Adaptive Ones. ICAISC 2004: 260-265
28	EE	Sarunas Raudys: Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices. KI 2004: 270-280
27	EE	Sarunas Raudys, Masakazu Iwamura: Multiple Classifiers System for Reducing Influences of Atypical Observations. Multiple Classifier Systems 2004: 233-242
26	EE	Sarunas Raudys, Masakazu Iwamura: Structures of Covariance Matrix in Handwritten Character Recognition. SSPR/SPR 2004: 725-733
2003
25	EE	Sarunas Raudys, Viktoras Justickis: Yerkes-Dodson Law in Agents' Training. EPIA 2003: 54-58
24	EE	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
23	EE	Sarunas Raudys, Ray L. Somorjai, Richard Baumgartner: Reducing the Overconfidence of Base Classifiers when Combining Their Decisions. Multiple Classifier Systems 2003: 65-73
22	EE	Sarunas Raudys: Experts' Boasting in Trainable Fusion Rules. IEEE Trans. Pattern Anal. Mach. Intell. 25(9): 1178-1182 (2003)
2002
21	EE	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
20	EE	Arunas Janeliunas, Sarunas Raudys: Reduction of the Boasting Bias of Linear Experts. Multiple Classifier Systems 2002: 242-251
19	EE	Sarunas Raudys: Multiple Classification Systems in the Context of Feature Extraction and Selection. Multiple Classifier Systems 2002: 27-41
18	EE	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
17	EE	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
16	EE	Sarunas Raudys: Prior Weights in Adaptive Pattern Classification. ICPR 2000: 6010-6013
15	EE	Sarunas Raudys: Classifier's Complexity Control while Training Multilayer Perceptrons. SSPR/SPR 2000: 32-44
14	EE	Sarunas Raudys, Minija Tamosiunaite: Biologically Inspired Architecture of Feedforward Networks for Signal Classification. SSPR/SPR 2000: 727-736
13	EE	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)
12	EE	Sarunas Raudys: How good are support vector machines? Neural Networks 13(1): 17-19 (2000)
11	EE	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)
10	EE	Sarunas Raudys: Scaled rotation regularization. Pattern Recognition 33(12): 1989-1998 (2000)
1998
9		Sarunas Raudys, Ausra Saudargiene: Structures of the Covariance Matrices in the Classifier Design. SSPR/SPR 1998: 583-592
8	EE	Sarunas Raudys: Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers. Neural Networks 11(2): 283-296 (1998)
7	EE	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)
6	EE	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)
1997
5	EE	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
4		Sarunas Raudys, Tautvydas Cibas: Regularization by Early Stopping in Single Layer Perceptron Training. ICANN 1996: 77-82
3	EE	Tautvydas Cibas, Françoise Fogelman-Soulié, Patrick Gallinari, Sarunas Raudys: Variable selection with neural networks. Neurocomputing 12(2-3): 223-248 (1996)
1991
2	EE	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
1	EE	Sarunas Raudys: Determination of optimal dimensionality in statistical pattern classification. Pattern Recognition 11(4): 263-270 (1979)

Coauthor Index

1	Arunas Augustinaitis	[34]
2	Ahmet Babalik	[44]
3	Richard Baumgartner	[18] [23] [36]
4	Ömer Kaan Baykan	[44]
5	Antanas Andrius Bielskis	[41] [44]
6	Tautvydas Cibas	[3] [4]
7	Vitalij Denisov	[41] [44]
8	Valdas Diciunas	[13]
9	Robert P. W. Duin	[6]
10	Françoise Fogelman-Soulié	[3]
11	Patrick Gallinari	[3]
12	Aini Hussain	[34]
13	Masakazu Iwamura	[26] [27]
14	Anil K. Jain	[2]
15	Arunas Janeliunas	[18] [20]
16	Viktoras Justickis	[25] [34]
17	Gian Luca Marcialis	[21]
18	Antanas Mitasiunas	[43]
19	Zidrina Pabarskaite	[29]
20	Alvydas Pumputis	[34] [35]
21	Fabio Roli	[21] [24]
22	Ausra Saudargiene	[9] [17]
23	Ray L. Somorjai	[18] [23] [36]
24	Minija Tamosiunaite	[14]
25	Indre Zliobaite	[31] [42]

Colors in the list of coauthors