Šarūnas Raudys

Biografija

Tėvas Juozas Baltrušis, motina Antanina Baltrušienė. Dėl sovietinės valdžios persekiojimo tėvas pakeitė pavardę į Raudys.
1958 m. baigė Panevėžio 1-ąją vidurinę mokyklą, 1963 m. Kauno politechnikos institute – elektros ir kompiuterių inžineriją. 1963–1965 m. Vilniaus skaičiavimo mašinų gamyklos specialiojo konstravimo biuro konstruktorius. 1965–1977 m. dirbo Fizikos ir matematikos institute. 1969 m. technikos mokslų kandidatas, 1978 m. mokslų daktaras.  Nuo 1977 m. Matematikos ir kibernetikos instituto darbuotojas, nuo 1981 m. duomenų analizės skyriaus vadovas. 1985 m. profesorius. 
Matematikos ir informatikos instituto duomenų analizės skyriaus vadovas. Vadovauja duomenų gavybos ir dirbtinių neuroninių tinklų grupei. Jo grupės mokslinių tyrimų interesai apima daugiamatę analizę, statistinį atpažinimą, dirbtinius neuroninius tinklus, duomenų gavybos metodus ir biologinės informacijos apdorojimo sistemų taikymą technologinių, ekonominių ir biologinių problemų analizei.

Publikacijos

Šarūno Raudžio publikacijų sąrašas: 
Pranevičius, Henrikas, Raudys, Šarūnas, Rudžionis, Algimantas Aleksandras, Rudžionis, Vytautas, Ratkevičius, Kastytis, Sakalauskaitė, Jūratė, Makackas, Dalius, Agentinių sistemų modeliai : [vadovėlis informatikos ir informatikos inžinerijos mokslo krypties doktorantams], Kaunas : Kauno technologijos universitetas, 2008. 231 p.
Raudys, Šarūnas, A target value control while training the perceptrons in changing environments, Fourth International Conference on Natural Computation ISNS 2008 : proceedings : 18-20 October 2008, Jinan, China. Los Alamitos, CA : IEEE Computer Society Press, 2008. Vol. 3 p. 54-58.
Raudys, Šarūnas Justickis, Viktoras Закон Йеркса-Додсона: связь между стимулированием и успешностью научения, Вопросы психологии. 2008, [№] 3 p. 119-126, ISSN 0042-8841.
Raudys, Šarūnas, Protingi ir aplinkos neteršiantys automobiliai - netolimos ateities dalykas, Mokslas ir technika. 2008, Nr. 7/8 p. 40-41.
Raudys, Šarūnas, Baykan, Ömer Kaan, Babalik, Ahmet, Denisov, Vitalij, Bielskis, Antanas Andrius, Classifiers fusion in recognition of wheat varieties, Lecture notes in computer science. Vol. 4472 (2007) p. 62-71.
Raudys, Šarūnas, Mitašiūnas, Antanas Multi-agent system approach to react to sudden environmental changes, Lecture notes in computer science. Vol. 4571 (2007) p. 810-823.
Raudys, Šarūnas, Measures of data and classifier complexity and the training sample size, Data complexity in pattern recognition. London : Springer, 2006 p. 60-68, ISBN 978-1-84628-171-6
Raudys, Šarūnas, Zliobaitė, Indrė The multi-agent system for prediction of financial time series, Lecture notes in artificial intelligence. Vol. 4029 (2006) p. 653-662.
Raudys, Šarūnas, Denisov, Vitalij, Bielskis, Antanas Andrius, A pool of classifiers by SLP: a multi-class case, Lecture notes in computer science. Vol. 4142 (2006) p. 47-56.
Raudys, Šarūnas, Trainable fusion rules. II. Small sample-size effects, Neural networks. Vol. 19, iss. 10 (2006) p. 1517-1527.
Raudys, Šarūnas, Trainable fusion rules. I. Large sample size case, Neural networks. Vol. 19, iss. 10 (2006) p. 1506-1516.
Guler, EC, Sankur, B, Kahya, YP, Raudys, Šarūnas, Two-stage classification of respiratory sound patterns, Computers in biology and medicine. Vol.35, Iss.1 (2005) p. 67-83, ISSN 0010-4825.
Raudys, Šarūnas, Pumputis, Alvydas, Adaptive agent based model to simulate a necessity of many religions, economies or political systems, International conference on machine intelligence : Tozeur – Tunisia, November 5-7, 2005, 2005 p. 494-500.
Raudys, Šarūnas, Hussain, Aini, Justickis, Viktoras, Pumputis, Alvydas, Augustinaitis, Arūnas, Functional model of criminality: Simulation study, Lecture notes in computer science. Vol. 3554 (2005) p. 410-423.
Raudys, Šarūnas, Zliobaitė, Indrė Prediction of commodity prices in rapidly changing environments, Lecture notes in computer science. Vol. 3686 (2005) p. 154-163.
Raudys, Šarūnas, Taxonomy of classifiers based on dissimilarity features, Lecture notes in computer science. Vol. 3686 (2005) p. 136-145.
Raudys, Šarūnas, Pabarškaitė, Židrina Fixed non-linear combining rules versus adaptive ones, Lecture notes in computer science. Vol. 3070 (2004) p. 260-265.
Raudys, Šarūnas, Young, Dean M., Results in statistical discriminant analysis: a review of the former Soviet Union literature, Journal of multivariate analysis. Vol. 89, Iss. 1 (2004) p. 1-35.
Raudys, Šarūnas, Survival of intelligent agents in changing environments, Lecture notes in computer science. Vol. 3070 (2004) p. 109-117.
Raudys, Šarūnas, Information transmission concept based model of wave propagation in discrete excitable media, Nonlinear analysis: modelling and control. Vol. 9, no. 3 (2004) p. 271-289, 293.
Raudys, Šarūnas, Statistical and neural classifiers : an integrated approach to design, London : Springer, 2001. XXIII, 289 p., ISBN 978-1-85233-297-6
Raudys, Šarūnas, Tamošiūnaitė, Minija, Biologically inspired architecture of feedforward networks for signal classification, Lecture notes in computer science. Vol. 1876 (2000) p. 727-736.
Raudys, Šarūnas, Classifier’s complexity control while training multilayer perceptrons, Lecture notes in computer science. Vol. 1876 (2000) p. 32-44.
Raudys, Šarūnas, Evolution and generalization of a single neurone. III, Neural networks. Vol.13, Iss.4-5 (2000) p. 507.
Raudys, Šarūnas, Interactive initialization of the multilayer perceptron, Pattern recognition letters. Vol.21, Iss.10 (2000) p. 907.
Raudys, Šarūnas, Scaled rotation regularization, Pattern recognition. Vol. 33, Iss. 12 (2000) p. 1989.
Raudys, Šarūnas, A. Raudys. Pair-wise costs in multi-class peceptrons. IEEE Transactions on Pattern Analysis and Machine Intelligence (ISSN 0162-8828), vol. 32, pp. 1324-1328, 2010.
Raudys, Šarūnas. Experts' boasting in trainable fusion rules. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, pp. 1178-1182, 2003.
Raudys, Šarūnas and A. Saudargiene. First-order tree-type dependence between variables and classification performance. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 23, pp. 1324-1328, 2001.
Raudys, Šarūnas. On dimensionality, sample size and classification error of nonparametric linear classification algorithms IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 19, pp. 669-671, 1997.
Raudys, Šarūnas, R. Kybartas, E. K. Zavadskas. Complexity and sample-size issues in multi-category nets of single-layer perceptrons. IEEE Trans. on Neural Networks (ISSN 1045-9227), vol. 21, 784-795, 2010.
M. Skurichina, Raudys, Šarūnas, R.P.W. Duin. K-nearest neighbors directed noise injection in multilayer perceptron training IEEE Trans. on Neural Networks, vol. 11, 504-511, 2000.
Raudys, Šarūnas. Scaled rotation regularization. Pattern Recognition (ISSN 0031-3203), vol. 33, pp. 1989-1998, 2000.
Raudys, Šarūnas. How good are support vector machines? Neural Networks, vol. 13, pp. 9-11, 2000.
Raudys, Šarūnas. Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions, Neural Networks, vol. 13, pp. 507-523, 2000.
Raudys, Šarūnas. Evolution and generalization of a single neurone. II. Complexity of statistical classifiers and sample size considerations, Neural Networks, vol. 11, pp. 297-313, 1998
Raudys, Šarūnas. Evolution and generalization of a single neurone. I. SLP as seven statistical classifiers Neural Networks, vol. 11, pp. 283-296, 1998.
Raudys, Šarūnas, R.P.W. Duin. On expected classification error of the Fisher classifier with pseudo-inverse covariance matrix, Pattern Recognition Letters (ISSN 0167-8655), vol. 19, pp. 385-392, 1998.
T. Cibas, F. Fogelman, P. Gallinari, S. Raudys. Variable selection with neural networks, Neurocomputing (ISSN 0925-2312), vol. 12, pp. 223-248, 1996.
E. Cagatay Guler, B. Sankur, Y. P. Kahya, S. Raudys. Visual classification of medical data using MLP mapping, Computers in Biology and Medicine, vol. 28 272-287, 1998.
Raudys, Šarūnas. An adaptation model for simulation of aging process, International Journal of Modern Physics, ser. C (ISSN 0129-1831), vol. 13: 1075-1086, 2002.
Raudys, Šarūnas. Intrinsic dimensionality and small sample size properties of classifiers. Kybernetika (ISSN 0023-5954), vol. 34, pp. 461-466, 1998.