User:Giena32/sarunas raudys

Šarūnas Raudys is head of Data Analysis Department at Institute of Mathematics and Informatics in Vilnius, Lithuania. Within the Department He is guiding the data mining and artificial neural networks group. His group's research interests include multivariate analysis, statistical pattern recognition, artificial neural networks, data mining methods and biological information processing systems with applications to analysis of technological, economical and biological problems.

Education

 * USSR Doctor of Sciences, Institute of Electronics and Computer science, Riga,1978.
 * Ph.D. Computer science, Institute Physics and Mathematics, 1969.
 * M.S. Electrical and Computer Engineering, Kaunas University of Technology, 1963.
 * Panevezys, the first secondary school, 1958.

Writings:Books

 * S. Raudys. (B2001 ) Statistical and Neural Classifiers: An integrated approach to design. Springer. London. 312 pages.
 * S. Raudys. (B1984) Statistical Pattern Recognition: Small design sample problems. A monograph, (a manuscript ) Institute of Mathematics and Cybernetics, Vilnius, 480 pages, 30 copies distributed around the world.
 * S. Raudys. (B1976) Limitation of Sample Size in Classification Problems, Inst. of Physics and Mathematics Press, Vilnius. 186 pages.

Writings:Book Chapters

 * S.Raudys and Jain K. (1991a). Small sample size problems in designing Artificial Neural Networks. - Artificial Neural Networks and Statistical Pattern Recognition, Old and New Connections, I.K. Sethi and A.K. Jain (Eds), Elsevier Science Publishers B.V, 33-50.
 * S.Raudys, (1978a) Optimization of nonparametric classification algorithm. Adaptive systems and applications . Nauka, Novosibirsk, (A.Medvedev Ed.), 57-62.

Writings:Journal Articles
S. Raudys, A. Saudargiene (2001). Tree type dependency model and sample size - dimensionality properties. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(1), 233-239.

V. Diciunas, S. Raudys (2000). Generalization error of randomized linear zero empirical error classifier: Simple asymptotics for centered data case. Informatica, 11 (4), 381-396.

S. Raudys. (2000c). Scaled rotation regularization. Pattern Recognition 33, 1989-1998.

M. Skurichina, S. Raudys, RPW. Duin (2000). K-nearest neighbors directed noise injection in multilayer perceptron training, IEEE Trans. on Neural Networks, 11, 504-511.

S. Raudys (2000b). How good are support vector machines? Neural Networks 13, 9-11.

S. Raudys (2000a). Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions. Neural Networks 13 (3/4), 507-523.

S. Raudys(1998b).Evolution and generalization of a single Neurone. II. Complexity of statistical classifiers and sample size considerations. Neural Networks, 11( 2), 297-313.

S .Raudys (1998a). Evolution and generalization of a single neurone. I. SLP as seven statistical classifiers. Neural Networks, 11( 2), 283-296.

S. Raudys, R.P.W. Duin (1998). On expected classification error of the Fisher classifier with pseudo-inverse covariance matrix. Pattern Recognition Letters, 19, 385-392.

S. Raudys (1998c). Intrinsic dimensionality and small sample size properties of classifiers. Kybernetika, 34, N 4, 461-466.

E. Cagatay Guler, B. Sankur, Y. P. Kahya, S.Raudys (1998). Visual classification of medical data using MLP mapping, Computers in Biology and Medicine, 28, 272-287.

S. Raudys. (1997a ). On dimensionality,  sample size  and  slassification error of nonparametric linear  classification  algorithms", IEEE Transaction on Pattern Analysis and Machine Intelligence. PAMI-19 (6), 669-671.

A. Basalykas, V. Diciunas, S. Raudys (1996+1997). On expected probability of misclassification of zero empirical error classifier. Informatica, 7(2), 137-154, 8(2), 310-311.

T. Cibas, F. Fogelman, P. Gallinari and S. Raudys (1996). Variable selection with neural networks, International J.   Neurocomputing, 12, 223-248.

S. Raudys, M. Skurikhina, T. Cibas, P. Gallinari (1995). Ridge estimates of the covariance matrix and regularization of artificial neural network classifier. Pattern Recognition and Image Processing, Int. J. of Russian Academy of Sciences, Moscow, N4, 633-650.

S.Raudys, (1993). On shape of pattern error function, initializations and intrinsic dimensionality in ANN design, Informatica, 4(3-4), 360-383.

A. Jain and S. Raudys (1992). On training sample size and complexity of artificial neural net classifier. Informatica, 3(3), 301-337.

S. Raudys and A.K. Jain (1991b). Small sample  size  effects in statistical  pattern  recognition: Recommendations for  practitioneers. - IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI -13 (3), 252-264.

S.Raudys (1991b). Methods to overcome  dimensionality  problems  in statistical pattern recognition. An invited review paper. Zavodskaya Laboratorya (USSR inerdisciplinary Journal), Moscow, Nauka, No 3, 45, 49-55 (in Russian).

S. Raudys (1991c). On the effectiveness of  Parzen  window  classifier,   Informatica, 2(3), 434-454.

S. Raudys, (1990). A state of art in statistical pattern recognition and unsolved problems, - Statistical Problems of Control, 93, 9-23. (in Russian).

S. Raudys (1986a ). The accuracy of model selection in data analysis, - Statistical Problems of Control, 74, 9-21 (in Russian).

S. Raudys, V. Pikelis, D. Stasaitis (1986). The effect of the number of initial and final number of features, the dependence between the features and a type of the classification rule on the accuracy of feature selection. - Statistical Problems of Control, 74, 39-47 (in Russian).

V. Pivoriunas and S. Raudys (1986). Classification objects into classes described by different sets of variables. - Statistical Problems of Control, 74, 119-131 (in Russian).

S. Raudys (1984b ). The influence of sample size on classification performance(a review), - Statistical Problems of Control, 66, 9-24 (in Russian).

S. Raudys and V. Vaitukaitis (1984). Methods to estimate the probability of misclassification, - Statistical Problems of Control, 66, 43-65 (in Russian).

V. Pivoriunas and S. Raudys (1984d) Classification rule when mean vectors of the classes and object have unequal number of components. - Statistical Problems of Control, 66, 121-136 (in Russian).

V. Pikelis and S. Raudys (1982a). General description of the program package SORRA -2. Input language. Usage. - Statistical Problems of Control, 58, 9-26 (in Russian).

S.Raudys and V. Pikelis (1982b ). Collective selection of the best version of a pattern recognition system. - Pattern Recognition Letters, 1(1), 7-13.

S. Raudys (1982).Solving of data analysis problems by means of the applied program package SORRA-2.- Statistical Problems of Control, 58, 67-76 (in Russian).

S. Raudys (1981). Influence of sample size on the accuracy of model selection in pattern recognition. - Statistical Problems of Control, 50, 9-30 (in Russian).

V. Vaitukaitis, V. Pikelis, S. Raudys (1981). Comparison of some sets of measurements in acoustic signal recognition. - Statistical problems of control, 50, 91-98 (in Russian).

S. Raudys and V. Pikelis (1980). On dimensionality, sample size, classification error and complexity of classification agorithm in pattern recognition. - IEEE Trans. on Pattern Analysis and Machine Intelligence, PAMI-2 (3), 242-252.

S. Raudys (1979a ). Classification errors when features are selected. - Statistical Problems of Control, 38, 9-25 (in Russian).

S. Raudys (1979b ). Determination of optimal dimensionality in statistical pattern classification. - Pattern Recognition, 11, 263-271.

D. Griðkevièius and S. Raudys (1979). On the expected probability of classification error of the classifier for discrete variables, - Statistical Problems of Control, 38, 95-112 (in Russian).

S. Raudys (1978). Classification and regression subroutines - Statistical Problems of Control, 27, 23-40 (in Russian).

V. Pivoriunas and S. Raudys (1978). On the accuracy of "leaving-one-out" estimate. - Statistical Problems of control, 27, 53-70, (in Russian).

S. Raudys (1976b ). Classification errors of the quadratic discriminant function. - Statistical Problems of Control, 14, Vilnius, 33-48 (in Russian).

S. Raudys (1976d ). Investigation of a nonparametric classifers when sample size is limited. - Statistical Problems of Control, 14, 117-126 (in Russian).

S. Raudys (1976c ). Determination of a number of useful measurements in pattern recognition. - Statistical Problems of Control, 14, 137-150 (in Russian).

K. Juskevicius and S. Raudys (1976). Estimation of the probability of misclassification for a piecewise decision rules. - Statistical Problems of Control, 14, 67-84 (in Russian).

A. Baublys and S. Raudys (1975). Mathematical models for storage of statistical data. - Statistical Problems of Control, 13, 97-120 (in Russian).

S. Raudys, V. Pikelis and K. Juskevicius (1975). Experimental comparison of thirteen classification algorithms. - Statistical Problems of Control, 11, Vilnius, 53-80 (in Russian).

S. Raudys (1975). Algorithms to design pattern classification rules (a review). - Statistical Problems of Control, 11, 11-52 (in Russian).

S. Raudys and V. Pikelis (1975). Tabulation of the probability of misclassification for the linear discriminant function. - Statistical Problems of Control, 11, 81-120 (in Russian).

A. Baublys, S. Raudys (1975). A Bayes approach to estimate probability distribution function of random factors at enterprise. Upravliajuschie Systemy i Mashiny. N 2, 117-121 (in Russian).

S. Raudys (1973a ). Comparison of two ways to estimate the probabilities of classification errors. Automation and Remote Control (Avtomatika i Telemechanika, Nauka), N10, 45-68 (in Russian).

S. Raudys.(1973b ). Estimation of probability of misclassification. - Statistical Methods of Control, 5, 9-44 (in Russian).

S. Raudys (1973c). On the problem of selecting a classification rule. - Statistical Problems of Control, 5, 49-69 (in Russian).

J. Radvilavicute and S. Raudys (1973). Investigation of classifier, designed with the help of histograms. - Statistical problems of control, 5, 126-139 (in Russian).

S. Raudys (1972). On the amount of a priori information in designing the classification algorithm. - Proceedings of Acad. of Sciences of the USSR, Tech. Cyber., No. 4, 168-174 (in Russian).

S. Raudys (1971). Classification of objects with dependent means. Statistical problems of Control, 1, 87-95 (in Russian).

S. Raudys (1970). On the estimation of the distribution function of the classification error. Int. J. Automatics and Computer Science, Riga, 92-95 (in Russian).

S. Raudys (1967). On determining training sample size of a linear classifier. - Computing Systems, Issue 28, Novosibirsk, 79-87 (in Russian).