Part of monograph Somol P., Novovičová J., Pudil P. : Efficient Feature Subset Selection and Subset Size Optimization In: Pattern Recognition, Recent Advances (Adam Herout . ,). In-Teh, Vukovar, Croatia 2010, pp. .

Jornal article Grim J., Hora J., Boček P., Somol P., Pudil P. : Statistical Model of the 2001 Czech Census for Interactive Presentation Journal of Official Statistics, (2010), 4 (2010), pp. 1-23.

Grim J., Hora J., Somol P., Boček P., Pudil P. : Statistical Model of the 2001 Czech Census for Interactive Presentation Statistika, (2009), 4 (2009), pp. 285-299.

Grim J., Somol P., Haindl M., Daneš J. : Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models IEEE Transactions on Image Processing, (2009), 4 (2009), pp. 765-773.

Grim J., Somol P., Haindl M., Pudil P. : Color Texture Segmentation by Decomposition of Gaussian Mixture Model. Lecture Notes in Computer Science., 19 (2006), 4225, pp. 287-296.

Grim J., Somol P., Pudil P. : Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognition Letters. Special Issue, 26 (2005), 12, pp. 1866-1873.

Haindl M., Somol P., Ververidis D., Kotropoulos C. : Feature Selection Based on Mutual Correlation. Lecture Notes in Computer Science., 19 (2006), 4225, pp. 569-577.

Novovičová J., Somol P., Pudil P. : Oscillating feature subset search algorithm for text categorization Lecture Notes in Computer Science, (2006), 4225, pp. 578-587.

Novovičová J., Somol P., Haindl M., Pudil P. : Conditional Mutual Information Based Feature Selection for Classification Task Lecture Notes in Computer Science, (2007), 4756 (2007), pp. 417-426.

Pudil P., Somol P. : Identifying the most informative variables for decision-making problems – a survey of recent approaches and accompanying problems Acta Oeconomica Pragensia, (2008), 4 (2008), pp. 37-55.

Somol P., Novovičová J., Pudil P. : Flexible-hybrid Sequential Floating Search in Statistical Feature Selection. Lecture Notes in Computer Science, (2006), 4109, pp. 632-639.

Somol P., Baesens B., Pudil P., Vanthienen J. : Filter- versus wrapper-based feature selection for credit scoring. International Journal of Intelligent Systems., 20 (2005), 10, pp. 985-999.

Somol P., Grim J., Novovičová J., Pudil P. : Improving feature selection process resistance to failures caused by curse-of-dimensionality effects Kybernetika, 47 (2010), 3 (2010), pp. 401-425.

Somol P., Novovičová J. : Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality IEEE Transactions on Pattern Analysis and Machine Intelligen, (2010), 11 (2010), pp. 1921-1939.

Somol P., Novovičová J. : Evaluating the Stability of Feature Selectors that Optimize Feature Subset Cardinality Lecture Notes in Computer Science, (2008), 5342 (2008), pp. 956-966.

Somol P., Novovičová J., Pudil P. : Notes on the evolution of feature selection methodology Kybernetika, (2007), 5 (2007), pp. 713-730.

Conference paper Grim J., Haindl M., Somol P., Pudil P. : A Subspace Approach to Texture Modelling by Using Gaussian Mixtures In: Proceedings of the 18th International Conference on Pattern Recognition. ICPR 2006 IEEE Press, Hong Kong 2006, pp. 235-238.

Grim J., Novovičová J., Somol P. : Structural Poisson Mixtures for Classification of Documents In: Proceedings of the 19th International Conference on Pattern Recognition IEEE Press, Los Alamitos 2008, pp. .

Grim J., Somol P., Haindl M., Pudil P. : A statistical approach to local evalution of a single texture image. In: Proceedings of the Sixtheenth Annual Symposium of the Pattern Recognition Association of South Africa. University of Cape Town, Cape Town 2005, pp. 171-176.

Grim J., Somol P., Pudil P. : Digital Image Forgery Detection by Local Statistical Models In: 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing IEEE computer society, Los Alamitos, California 2010, pp. .

Grim J., Somol P., Pudil P., Míková I., Malec M. : Texture Oriented Image Inpainting based on Local Statistical Model In: Proc. 10th IASTED Conf. on Signal & Image Processing, SIP 2008 ACTA Press, Calgary 2008, pp. .

Haindl M., Pudil P., Somol P. : Pattern Recognition Based on Multidimensional Models. In: [MATEO - The European Network of Mechatronics Centres and Industrial Controllers 2006. Železná Ruda (CZ), 14.12.2006-16.12.2006] West Bohemian University, Pilsen 2006, pp. 80-86.

Novovičová J., Somol P., Pudil P. : A New Measure of Feature Selection Algorithms’ Stability In: ICDMW '09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops ICDMW '09: International Conference on Data Mining Workshops, (Miami, Florida, US, 06.12.2009-09.12.2009), Miami, Florida 2009, pp. .

Pudil P., Somol P. : An Overview of Feature Selection Techniques in Statistical Pattern Recognition In: Proceedings of the Sixteenth Annual Symposium of the Patter Recognition Association of South Africa University of Cape Town, Cape Town, South Africa 2005, pp. 1-14.

Pudil P., Somol P. : Current Feature Selection Techniques in Pattern Recognition. In: Proceedings of the 4th Internatoinal Conference on Computer Recognition Systems. Springer, Heidelberg 2005, pp. 53-68.

Pudil P., Somol P., Střítecký R. : Methodology of selecting the most informative variables for decision-making problems of classification type In: Proceedings 6th Int. Conf. on Information and Management Sciences California Polytechnic State University, USA, Lhasa, Tibet, China 2007, pp. 1-18.

Somol P., Grim J., Pudil P. : Criteria Ensembles in Feature Selection In: Multiple Classifier Systems, LNCS 5519 Springer, Berlin Heidelberg 2009, pp. .

Somol P., Grim J., Pudil P. : Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition In: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011) IEEE, Piscataway 2011, pp. .

Somol P., Grim J., Pudil P. : The Problem of Fragile Feature Subset Preference in Feature Selection Methods and A Proposal of Algorithmic Workaround In: Proc. 2010 Int. Conf. on Pattern Recognition IEEE Computer Society, Istanbul 2010, pp. .

Somol P., Haindl M. : Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling. In: Proceedings of the 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2005. University of West Bohemia, Plzeň 2005, pp. 155-162.

Somol P., Novovičová J., Grim J., Pudil P. : Dynamic Oscillating Search Algorithm for Feature Selection In: ICPR 2008 Proceedings (Int. Conf. on Pattern Recognition) IEEE Computer Society, Tampa, Florida 2008, pp. .

Somol P., Novovičová J., Pudil P. : Are Better Feature Selection Methods Actually Better? Discussion, Reasoning and Examples In: Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2008 Proceedings of the International Conference on Health Infor INSTICC Press, Madeira 2008, pp. .

Somol P., Novovičová J., Pudil P. : Improving Sequential Feature Selection Methods Performance by Means of Hybridization In: Proc. 6th IASTED Int. Conf. on Advances in Computer Science and Engineering ACTA Press, Calgary 2010, pp. .

Somol P., Novovičová J., Pudil P. : On the Over-Fitting Problem of Complex Feature Selection Methods. In: Proc. 5th International Computer Engineering Conference - A better Information Society Through the e@, 5th International Computer Engineering Conference - A better Information Society Through the e@, (Káhira, EG, 27.12.2009-28.12.2009), Káhira 2009, pp. .

Somol P., Pudil P. : Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms In: Proceedings of the 18th International Conference on Pattern Recognition. ICPR 2006 IEEE Press, Hong Kong 2006, pp. .

Vretos N., Solachidis V., Somol P., Pitas I. : Facial expression recognition using angle-related information from facial meshes In: Proc. 16th European Signal Processing Conference (EUSIPCO- 2008) EURASIP, Lausanne, Switzerland 2008, pp. .

Internal print Somol P., Haindl M. : Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling. Interní publikace DAR - ÚTIA 2005/5. ÚTIA AV ČR, Praha 2005, 8 pp.

Somol P., Novovičová J., Pudil P. : Advances in Feature Selection Methodology: an Overview of Recent ÚTIA Results. Interní publikace DAR - ÚTIA 2006/21. ÚTIA AV ČR, Praha 2006, 18 pp.

Research report Grim J., Somol P. : Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models (Research Report 2217) ÚTIA AV ČR, Praha 2008, pp.

Haindl M., Filip J., Somol P. : Texturing Library - Reference Manual. ( Research Report No. 2142) ÚTIA AV ČR, Praha 2005, 209 pp.

Haindl M., Pudil P., Somol P. : Model-Based Visual Inspection (MATEO - The European Network of Mechatronics Centres and Ind) UWB, Plzeň 2007, pp.

Meseth J., Degener P., Klein, Haindl M., Filip J., Somol P. : Texture Synthesis on Surfaces. ( Research report n. 2141) ÚTIA AV ČR, Praha 2005, 30 pp.

Pudil P., Somol P., Haindl M. : Selection of Most Informative Variables in Statistical Pattern Recognition (MATEO -The European Network of Mechatronics Centres and Indu) UWB, Plzeň 2007, pp.

Somol P., Grim J. : Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition Problems (Research Report 2295) ÚTIA AV ČR, v.v.i, Praha 2011, pp.

Somol P., Novovičová J. : Does It Make Sense to Develop New Feature Selection Methods? (Research Report 2193) ÚTIA AV ČR, Praha 2007, pp.

Somol P., Novovičová J. : Evaluating Stability of Single and Multiple Feature Selectors that Optimize Feature Subset Cardinality ( Research Report 2251) ÚTIA AV ČR, Praha 2009, pp.

Somol P., Novovičová J., Pudil P., Kittler J. : Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches (Research Report 2285) ÚTIA AV ČR, v.v.i, Praha 2010, pp.

Application/Electronic document Non-linear Reflectance Model for Bidirectional Texture Function Synthesis. (Presentation)

Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models (Presentation)

Texture Tiling and Patching With a Novel Path Search Algorithm for Quick and Realistic Texture Synthesis. (Presentation)