Initializing normal mixtures of densities. - Jirí Grim; Jana Novovicová; Pavel Pudil; Petr Somol; Francesc J. Ferri (ICPR, 1998)

Feature Selection Expert - User Oriented Approach: Methodology and Concept of the System. - Pavel Pudil; Jana Novovicová; Petr Somol; Radek Vrnata (SSPR/SPR, 1998)

Conceptual base of feature selection consulting system. - Pavel Pudil; Jana Novovicová; Petr Somol; Radek Vrnata (Kybernetika, 1998)

Adaptive floating search methods in feature selection. - Petr Somol; Pavel Pudil; Jana Novovicová; Pavel Paclík (Pattern Recognit. Lett., 1999)

Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. - Jirí Grim; Pavel Pudil; Petr Somol (ICPR, 2000)

Oscillating Search Algorithms for Feature Selection. - Petr Somol; Pavel Pudil (ICPR, 2000)

Combining Multiple Classifiers in Probabilistic Neural Networks. - Jirí Grim; Josef Kittler; Pavel Pudil; Petr Somol (Multiple Classifier Systems, 2000)

Comparison of Classifier-Specific Feature Selection Algorithms. - Mineichi Kudo; Petr Somol; Pavel Pudil; Masaru Shimbo; Jack Sklansky (SSPR/SPR, 2000)

Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches. - Helmut A. Mayer; Petr Somol; Reinhold Huber; Pavel Pudil (SSPR/SPR, 2000)

Road sign classification using Laplace kernel classifier. - Pavel Paclík; Jana Novovicová; Pavel Pudil; Petr Somol (Pattern Recognit. Lett., 2000)

Advances in Statistical Feature Selection. - Josef Kittler; Pavel Pudil; Petr Somol (ICAPR, 2001)

Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. - Petr Somol; Pavel Pudil; Jirí Grim (ICAPR, 2001)

Information Analysis of Multiple Classifier Fusion. - Jirí Grim; Josef Kittler; Pavel Pudil; Petr Somol (Multiple Classifier Systems, 2001)

Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition. - Petr Somol; Pavel Pudil (PRIS, 2001)

Boosting in Probabilistic Neural Networks. - Jirí Grim; Pavel Pudil; Petr Somol (ICPR (2), 2002)

Multiple Classifier Fusion in Probabilistic Neural Networks. - Jirí Grim; Josef Kittler; Pavel Pudil; Petr Somol (Pattern Anal. Appl., 2002)

Feature selection toolbox. - Petr Somol; Pavel Pudil (Pattern Recognit., 2002)

Feature selection toolbox software package. - Pavel Pudil; Jana Novovicová; Petr Somol (Pattern Recognit. Lett., 2002)

A Gaussian Mixture-Based Colour Texture Model. - Michal Haindl; Jirí Grim; Petr Somol; Pavel Pudil; Mineichi Kudo (ICPR (3), 2004)

On Prediction Mechanisms in Fast Branch & Bound Algorithms. - Petr Somol; Pavel Pudil; Jirí Grim (SSPR/SPR, 2004)

Fast Branch & Bound Algorithms for Optimal Feature Selection. - Petr Somol; Pavel Pudil; Josef Kittler (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Current Feature Selection Techniques in Statistical Pattern Recognition. - Pavel Pudil; Petr Somol (CORES, 2005)

Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling. - Petr Somol; Michal Haindl (WSCG (Full Papers), 2005)

Filter- versus wrapper-based feature selection for credit scoring. - Petr Somol; Bart Baesens; Pavel Pudil; Jan Vanthienen (Int. J. Intell. Syst., 2005)

Probabilistic neural network playing and learning Tic-Tac-Toe. - Jirí Grim; Petr Somol; Pavel Pudil (Pattern Recognit. Lett., 2005)

Color Texture Segmentation by Decomposition of Gaussian Mixture Model. - Jirí Grim; Petr Somol; Michal Haindl; Pavel Pudil (CIARP, 2006)

Feature Selection Based on Mutual Correlation. - Michal Haindl; Petr Somol; Dimitrios Ververidis; Constantine Kotropoulos (CIARP, 2006)

Oscillating Feature Subset Search Algorithm for Text Categorization. - Jana Novovicová; Petr Somol; Pavel Pudil (CIARP, 2006)

A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. - Jirí Grim; Michal Haindl; Petr Somol; Pavel Pudil (ICPR (2), 2006)

Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms. - Petr Somol; Pavel Pudil (ICPR (2), 2006)

Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection. - Petr Somol; Jana Novovicová; Pavel Pudil (SSPR/SPR, 2006)

Conditional Mutual Information Based Feature Selection for Classification Task. - Jana Novovicová; Petr Somol; Michal Haindl; Pavel Pudil (CIARP, 2007)

Notes on the evolution of feature selection methodology. - Petr Somol; Jana Novovicová; Pavel Pudil (Kybernetika, 2007)

Are Better Feature Selection Methods Actually Better? - Discussion, Reasoning and Examples. - Petr Somol; Jana Novovicová; Pavel Pudil (HEALTHINF (1), 2008)

Facial expression recognition using angle-related information from facial meshes. - Nicholas Vretos; Vassilios Solachidis; Petr Somol; Ioannis Pitas (EUSIPCO, 2008)

Structural poisson mixtures for classification of documents. - Jirí Grim; Jana Novovicová; Petr Somol (ICPR, 2008)

Dynamic Oscillating Search algorithm for feature selection. - Petr Somol; Jana Novovicová; Jirí Grim; Pavel Pudil (ICPR, 2008)

Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality. - Petr Somol; Jana Novovicová (SSPR/SPR, 2008)

A New Measure of Feature Selection Algorithms' Stability. - Jana Novovicová; Petr Somol; Pavel Pudil (ICDM Workshops, 2009)

Criteria Ensembles in Feature Selection. - Petr Somol; Jirí Grim; Pavel Pudil (MCS, 2009)

Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models. - Jirí Grim; Petr Somol; Michal Haindl; Jan Danes (IEEE Trans. Image Process., 2009)

The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround. - Petr Somol; Jirí Grim; Pavel Pudil (ICPR, 2010)

Digital Image Forgery Detection by Local Statistical Models. - Jirí Grim; Petr Somol; Pavel Pudil (IIH-MSP, 2010)

Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality. - Petr Somol; Jana Novovicová (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Fast dependency-aware feature selection in very-high-dimensional pattern recognition. - Petr Somol; Jirí Grim; Pavel Pudil (SMC, 2011)

Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. - Petr Somol; Jirí Grim; Jana Novovicová; Pavel Pudil (Kybernetika, 2011)

Prediction Model of Inpatient Mortality for Patients with Myocardial Infarction. - Hynek Kruzík; Jirí Vomlel; Václav Kratochvíl; Petr Tuma 002; Petr Somol (HEALTHINF, 2012)

On Stopping Rules in Dependency-Aware Feature Ranking. - Petr Somol; Jirí Grim; Jirí Filip; Pavel Pudil (CIARP (1), 2013)

Materials Classification Using Sparse Gray-Scale Bidirectional Reflectance Measurements. - Jirí Filip; Petr Somol (CAIP (2), 2015)

Discriminative Models for Multi-instance Problems with Tree Structure. - Tomás Pevný; Petr Somol (AISec@CCS, 2016)

End-node Fingerprinting for Malware Detection on HTTPS Data. - Tomás Komárek; Petr Somol (ARES, 2017)

Using Neural Network Formalism to Solve Multiple-Instance Problems. - Tomás Pevný; Petr Somol (ISNN (1), 2017)

Multiple Instance Learning with Bag-Level Randomized Trees. - Tomás Komárek; Petr Somol (ECML/PKDD (1), 2018)

Adaptive Approach for Density-Approximating Neural Network Models for Anomaly Detection. - Martin Flusser; Petr Somol (CISIS, 2020)

Threat Hunting as a Similarity Search Problem on Multi-positive and Unlabeled Data. - Tomás Komárek; Jan Brabec; Cenek Skarda; Petr Somol (IEEE BigData, 2021)

Explainable Multiple Instance Learning with Instance Selection Randomized Trees. - Tomás Komárek; Jan Brabec; Petr Somol (ECML/PKDD (2), 2021)

Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data. - Tomás Pevný; Viliam Lisý; Branislav Bosanský; Petr Somol; Michal Pechoucek (CoRR, 2022)

Avast-CTU Public CAPE Dataset. - Branislav Bosanský; Dominik Kouba; Ondrej Manhal; Thorsten Sick; Viliam Lisý; Jakub Kroustek; Petr Somol (CoRR, 2022)

Efficient anomaly detection through surrogate neural networks. - Martin Flusser; Petr Somol (Neural Comput. Appl., 2022)