Petr Somol

发表

Feature Selection Expert - User Oriented Approach: Methodology and Concept of the System

Pavel Pudil, Jana Novovicová, Petr Somol, 1998, SSPR/SPR.

Are Better Feature Selection Methods Actually Better? - Discussion, Reasoning and Examples

Pavel Pudil, Jana Novovicová, Petr Somol, 2008, HEALTHINF.

Adaptive Approach for Density-Approximating Neural Network Models for Anomaly Detection

Petr Somol, Martin Flusser, P. Somol, 2020, CISIS.

Using Neural Network Formalism to Solve Multiple-Instance Problems pdf

Tomás Pevný, Petr Somol, 2017, ISNN.

Multiple Classifier Fusion in Probabilistic Neural Networks

Josef Kittler, Pavel Pudil, Petr Somol, 2002, Pattern Analysis & Applications.

A Gaussian mixture-based colour texture model

Mineichi Kudo, Pavel Pudil, Petr Somol, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Boosting in probabilistic neural networks

Pavel Pudil, Petr Somol, Jirí Grim, 2002, Object recognition supported by user interaction for service robots.

Prediction Model of Inpatient Mortality for Patients with Myocardial Infarction

Jirí Vomlel, Václav Kratochvíl, Petr Somol, 2012, HEALTHINF.

Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models

Petr Somol, Michal Haindl, Jirí Grim, 2009, IEEE Transactions on Image Processing.

Fast branch & bound algorithms for optimal feature selection

Josef Kittler, Pavel Pudil, Petr Somol, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms

Pavel Pudil, Petr Somol, Jirí Grim, 2001, ICAPR.

Efficient Feature Subset Selection and Subset Size Optimization

Pavel Pudil, Petr Somol, Jana Novovičová, 2010 .

Current Feature Selection Techniques in Statistical Pattern Recognition

Pavel Pudil, Petr Somol, 2005, CORES.

Searching Factors of Corporate Competitiveness UsingStatistical Pattern Recognition Techniques

Pavel Pudil, Petr Somol, Ladislav Blažek, 2012 .

Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling

Petr Somol, Michal Haindl, M. Haindl, 2005, WSCG.

Filter‐ versus wrapper‐based feature selection for credit scoring

Bart Baesens, Jan Vanthienen, Pavel Pudil, 2005, Int. J. Intell. Syst..

On Stopping Rules in Dependency-Aware Feature Ranking

Jirí Filip, Pavel Pudil, Petr Somol, 2013, CIARP.

Combining Multiple Classifiers in Probabilistic Neural Networks

Josef Kittler, Pavel Pudil, Petr Somol, 2000, Multiple Classifier Systems.

Probabilistic neural network playing and learning Tic-Tac-Toe

Pavel Pudil, Petr Somol, Jirí Grim, 2005, Pattern Recognit. Lett..

Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality

Jana Novovicová, Petr Somol, 2008, SSPR/SPR.

Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality

Jana Novovicová, Petr Somol, J. Novovicová, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

ProbabilisticNeuralNetworkPlayingandLearningTic-Tac-Toe

Pavel Pudil, Petr Somol, P. Pudil, 2005 .

Notes on the evolution of feature selection methodology

Pavel Pudil, Petr Somol, Jana Novovičová, 2007, Kybernetika.

Improving feature selection process resistance to failures caused by curse-of-dimensionality effects

Pavel Pudil, Jana Novovicová, Petr Somol, 2011, Kybernetika.

Discriminative Models for Multi-instance Problems with Tree Structure

Tomás Pevný, Petr Somol, T. Pevný, 2016, AISec@CCS.

Conceptual base of feature selection consulting system

Pavel Pudil, Jana Novovicová, Petr Somol, 1998, Kybernetika.

Recent Feature Selection Methods in Statistical Pattern Recognition

Pavel Pudil, Petr Somol, Jana Novovičová, 2003 .

Comparison of Classifier-Specific Feature Selection Algorithms

Mineichi Kudo, Pavel Pudil, Petr Somol, 2000, SSPR/SPR.

Criteria Ensembles in Feature Selection

Pavel Pudil, Petr Somol, Jirí Grim, 2009, MCS.

Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms

Pavel Pudil, Petr Somol, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

IMPROVING SEQUENTIAL FEATURE SELECTION METHODS' PERFORMANCE BY MEANS OF HYBRIDIZATION

Pavel Pudil, Petr Somol, Jana Novovičová, 2010 .

Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches

Reinhold Huber-Mörk, Pavel Pudil, Petr Somol, 2000, SSPR/SPR.

Feature Selection Based on Mutual Correlation

Constantine Kotropoulos, Petr Somol, Michal Haindl, 2006, CIARP.

Conditional Mutual Information Based Feature Selection for Classification Task

Pavel Pudil, Jana Novovicová, Petr Somol, 2007, CIARP.

Introduction to Statistical Pattern Recognition

Pavel Pudil, Petr Somol, Michal Haindl, 2006 .

Color Texture Segmentation by Decomposition of Gaussian Mixture Model

Pavel Pudil, Petr Somol, Michal Haindl, 2006, CIARP.

RECOGNITION OF HANDWRITTEN NUMERALS BY STRUCTURAL PROBABILISTIC NEURAL NETWORKS

Pavel Pudil, Petr Somol, Jǐŕı Grim, 2008 .

On Prediction Mechanisms in Fast Branch & Bound Algorithms

Pavel Pudil, Petr Somol, Jirí Grim, 2004, SSPR/SPR.

Road sign classification using Laplace kernel classifier

Pavel Pudil, Petr Somol, Jana Novovičová, 2000, Pattern Recognit. Lett..

Initializing normal mixtures of densities

Francesc J. Ferri, Pavel Pudil, Jana Novovicová, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Information Analysis of Multiple Classifier Fusion

Josef Kittler, Pavel Pudil, Petr Somol, 2001, Multiple Classifier Systems.

Facial expression recognition using angle-related information from facial meshes

Ioannis Pitas, Petr Somol, Nicholas Vretos, 2008, 2008 16th European Signal Processing Conference.

Multivariate structural Bernoulli mixtures for recognition of handwritten numerals

Pavel Pudil, Petr Somol, Jirí Grim, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Fast Branch & Bound Algorithm in Feature Selection

Francesc J. Ferri, Pavel Pudil, Petr Somol, 2007 .

Oscillating Feature Subset Search Algorithm for Text Categorization

Pavel Pudil, Jana Novovicová, Petr Somol, 2006, CIARP.

Identifying Corporate Performance Factors Based on Feature Selection in Statistical Pattern Recognition: METHODS, APPLICATION, INTERPRETATION

Pavel Pudil, Petr Somol, Ondřej Částek, 2014 .

Adaptive floating search methods in feature selection

Pavel Paclík, Pavel Pudil, Jana Novovicová, 1999, Pattern Recognit. Lett..

Advances in Statistical Feature Selection

Josef Kittler, Pavel Pudil, Petr Somol, 2001, ICAPR.

Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition

Pavel Pudil, Petr Somol, P. Pudil, 2001, PRIS.

Fast dependency-aware feature selection in very-high-dimensional pattern recognition

Pavel Pudil, Petr Somol, Jirí Grim, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround

Pavel Pudil, Petr Somol, Jirí Grim, 2010, 2010 20th International Conference on Pattern Recognition.

Dynamic Oscillating Search algorithm for feature selection

Pavel Pudil, Jana Novovicová, Petr Somol, 2008, 2008 19th International Conference on Pattern Recognition.

End-node Fingerprinting for Malware Detection on HTTPS Data

Petr Somol, Tomás Komárek, 2017, ARES.

Materials Classification Using Sparse Gray-Scale Bidirectional Reflectance Measurements

Jirí Filip, Petr Somol, J. Filip, 2015, CAIP.

Oscillating search algorithms for feature selection

Pavel Pudil, Petr Somol, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

On the Over-Fitting Problem of Complex Feature Selection Methods

Pavel Pudil, Petr Somol, Jana Novovičová, 2009 .

Identifying the most Informative Variables for Decision-Making Problems - a Survey of Recent Approaches and Accompanying Problems

Pavel Pudil, Petr Somol, P. Pudil, 2008 .

Digital Image Forgery Detection by Local Statistical Models

Pavel Pudil, Petr Somol, Jirí Grim, 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection

Pavel Pudil, Jana Novovicová, Petr Somol, 2006, SSPR/SPR.

Multiple Instance Learning with Bag-Level Randomized Trees

Petr Somol, Tomás Komárek, 2018, ECML/PKDD.

Feature selection toolbox software package

Pavel Pudil, Jana Novovicová, Petr Somol, 2002, Pattern Recognit. Lett..

Feature selection toolbox

Pavel Pudil, Petr Somol, 2002, Pattern Recognit..

A New Measure of Feature Selection Algorithms' Stability

Pavel Pudil, Jana Novovicová, Petr Somol, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Statistical Model of the 2001 Czech Census for Interactive Presentation

Pavel Pudil, Petr Somol, Pavel Bocek, 2010 .

A Subspace Approach to Texture Modelling by Using Gaussian Mixtures

Pavel Pudil, Petr Somol, Michal Haindl, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Structural poisson mixtures for classification of documents

Jana Novovicová, Petr Somol, Jirí Grim, 2008, 2008 19th International Conference on Pattern Recognition.

Explainable Multiple Instance Learning with Instance Selection Randomized Trees

Petr Somol, Jan Brabec, Tomáš Komárek, 2021, ECML/PKDD.

TEXTURE ORIENTED IMAGE INPAINTING BASED ON LOCAL STATISTICAL MODEL

Pavel Pudil, Petr Somol, P. Pudil, 2008 .

Identification of Corporate Competitiveness Factors – Comparing Different Approaches

Pavel Pudil, Petr Somol, Ladislav Blažek, 2013 .

Improved Model for Attribute Selection on High-Dimensional Economic Data

Pavel Pudil, Petr Somol, Jana Pokorná, 2014 .

Probabilistic Neural Network Playing a Simple Game

Pavel Pudil, Petr Somol, P. Pudil, 2022 .