Šarūnas Raudys
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Lithuanian academic
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Šarūnas Raudyscomputer-science Degrees
Computer Science
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Data Mining
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Machine Learning
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Šarūnas Raudysmathematics Degrees
Mathematics
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Measure Theory
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Computer Science Mathematics
Šarūnas Raudys's Degrees
- PhD Computer Science Vilnius University
- Masters Mathematics Vilnius University
- Bachelors Mathematics Vilnius University
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Why Is Šarūnas Raudys Influential?
(Suggest an Edit or Addition)According to Wikipedia, Šarūnas Raudys is head of the Data Analysis Department at the 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.
Šarūnas Raudys's Published Works
Published Works
- Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners (1991) (1331)
- Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix (1998) (210)
- On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition (1980) (178)
- Variable selection with neural networks (1996) (109)
- Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers (1998) (100)
- Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems (1990) (90)
- K-nearest Neighbors Directed Noise Injection in Multilayer Perceptron Training (2000) (74)
- Statistical and Neural Classifiers: An Integrated Approach to Design (2012) (74)
- On Dimensionality, Sample Size, and Classification Error of Nonparametric Linear Classification Algorithms (1997) (73)
- Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations (1998) (60)
- Results in statistical discriminant analysis: a review of the former Soviet union literature (2004) (56)
- The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement (2003) (54)
- Variable Selection with Optimal Cell Damage (1994) (50)
- How good are support vector machines? (2000) (44)
- Statistical and Neural Classifiers (2001) (43)
- Trainable fusion rules. I. Large sample size case (2006) (41)
- Two-stage classification of respiratory sound patterns (2005) (40)
- Small sample size problems in designing artificial neural networks (1991) (40)
- An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs (2002) (36)
- Initializations, back-propagation and generalization of feed-forward classifiers (1993) (32)
- Trainable fusion rules. II. Small sample-size effects (2006) (29)
- Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues (2013) (28)
- Experts' Boasting in Trainable Fusion Rules (2003) (25)
- Feature Over-Selection (2006) (24)
- First-Order Tree-Type Dependence between Variables and Classification Performance (2001) (20)
- Pairwise Costs in Multiclass Perceptrons (2010) (19)
- The Multi-Agent System for Prediction of Financial Time Series (2006) (17)
- Structures of the Covariance Matrices in the Classifier Design (1998) (17)
- Determination of optimal dimensionality in statistical pattern classification (1979) (16)
- Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions (2000) (16)
- AN ADAPTATION MODEL FOR SIMULATION OF AGING PROCESS (2002) (14)
- Survival of Intelligent Agents in Changing Environments (2004) (13)
- Neural Network Classifiers (2001) (13)
- Multi-agent System Approach to React to Sudden Environmental Changes (2007) (10)
- Why do multilayer perceptrons have favorable small sample properties (1994) (10)
- Agent-based modelling of excitation propagation in social media groups (2015) (10)
- Prediction of Commodity Prices in Rapidly Changing Environments (2005) (10)
- Yerkes-Dodson Law in Agents' Training (2003) (9)
- On Understanding and Assessing Feature Selection Bias (2005) (9)
- Visual classification of medical data using MLP mapping (1998) (9)
- Multiple Classification Systems in the Context of Feature Extraction and Selection (2002) (9)
- Reduction of the Boasting Bias of Linear Experts (2002) (8)
- Linear classifiers in perceptron design (1996) (8)
- The role of the number of training samples on weight initialisation of artificial neural net classifier (1992) (8)
- Information Transmission Concept Based Model of Wave Propagation in Discrete Excitable Media (2004) (8)
- Reducing the Overconfidence of Base Classifiers when Combining Their Decisions (2003) (8)
- Sustainable economy inspired large-scale feed-forward portfolio construction (2014) (8)
- On the accuracy of a bootstrap estimate of the classification error (1988) (7)
- Three decision making levels in portfolio management (2012) (7)
- On The Universality of The Single-Layer Perceptron Model (2003) (7)
- Comparison of Two Classification Methodologies on a Real-World Biomedical Problem (2002) (7)
- Scaled rotation regularization (2000) (7)
- High frequency trading portfolio optimisation: Integration of financial and human factors (2011) (7)
- Expected error of minimum empirical error and maximal margin classifiers (1996) (6)
- Biologically Inspired Architecture of Feedforward Networks for Signal Classification (2000) (6)
- Collective selection of the best version of a pattern recognition system (1982) (6)
- Multicategory Nets of Single-Layer Perceptrons: Complexity and Sample-Size Issues (2010) (6)
- Measures of Data and Classifier Complexity and the Training Sample Size (2006) (5)
- Accuracy of feature selection and extraction in statistical and neural net pattern classification (1992) (5)
- Group Interests of Agents Functioning in Changing Environments (2005) (5)
- A Price We Pay for Inexact Dimensionality Reduction (2015) (4)
- Classifiers Fusion in Recognition of Wheat Varieties (2007) (4)
- A Pool of Classifiers by SLP: A Multi-class Case (2006) (4)
- Multi-stage nonlinear classification of respiratory sounds (1996) (4)
- Classifier's Complexity Control while Training Multilayer Perceptrons (2000) (4)
- Dynamically Controlled Length of Training Data for Sustainable Portfolio Selection (2018) (3)
- Functional Model of Criminality: Simulation Study (2005) (3)
- On training sample size and complexity of artificial neural net classifier (1992) (3)
- Hierarchical classification of respiratory sounds (1998) (3)
- Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case (2000) (3)
- Prior weights in adaptive pattern classification (2000) (2)
- Social Organization of Evolving Multiple Classifier System Functioning in Changing Environments (2007) (2)
- Towards Nonlocal Field-Like Social Interactions: Oscillating Agent Based Conceptual and Simulation Framework (2016) (2)
- A Target Value Control While Training the Perceptrons in Changing Environments (2008) (2)
- Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices (2004) (2)
- Regularization by Early Stopping in Single Layer Perceptron Training (1996) (2)
- Taxonomy of Classifiers Based on Dissimilarity Features (2005) (2)
- Multiple Classifiers System for Reducing Influences of Atypical Observations (2004) (2)
- Learning the affinity measure in real and artificial immune systems (2010) (2)
- Letter to the Editors (1982) (1)
- Multi-agent system based portfolio management in prior-to-crisis and crisis period (2012) (1)
- Optimal Regularization of Linear and Nonlinear Perceptrons (1994) (1)
- Integration of Statistical and Neural Approaches (2001) (1)
- Immunology-Based Sustainable Portfolio Management (2022) (1)
- Modelling of Excitation Propagation for Social Interactions (2014) (1)
- Structures of Covariance Matrix in Handwritten Character Recognition (2004) (1)
- Aging in Artificial Learning Systems (2007) (1)
- Portfolio Inputs Selection from Imprecise Training Data (2017) (1)
- Generalization Error of Multinomial Classifier (2006) (1)
- Effect of Synthetic Emotions on Agents' Learning Speed and Their Survivability (2005) (1)
- Intrinsic dimensionality and small sample properties of classifiers (1998) (1)
- Performance and the Generalisation Error (2001) (0)
- Book reviews (1994) (0)
- Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners (2014) (0)
- Taxonomy of Pattern Classification Algorithms (2001) (0)
- Evolution of Multi-class Single Layer Perceptron (2007) (0)
- Multiclass Mineral Recognition Using Similarity Features and Ensembles of Pair-Wise Classifiers (2010) (0)
- Multi-agent system based on oscillating agents for portfolio design (2014) (0)
- OVERTRAINING IN SINGLE-LAYER PERCEPTRONS (1997) (0)
- A Neural Network Based Investigation of High Frequency Components of the ECG (2003) (0)
- Semiempirical robust algorithm for investment portfolio formation (2013) (0)
- Fixed Non-linear Combining Rules versus Adaptive Ones (2004) (0)
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