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2020 – today
- 2022
[j14]Martin Flusser
, Petr Somol:
Efficient anomaly detection through surrogate neural networks. Neural Comput. Appl. 34(23): 20491-20505 (2022)- [i4]Tomás Pevný, Viliam Lisý, Branislav Bosanský, Petr Somol, Michal Pechoucek:
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data. CoRR abs/2208.02694 (2022) - [i3]Branislav Bosanský, Dominik Kouba, Ondrej Manhal, Thorsten Sick, Viliam Lisý, Jakub Kroustek, Petr Somol:
Avast-CTU Public CAPE Dataset. CoRR abs/2209.03188 (2022) - 2021
- [c43]Tomás Komárek, Jan Brabec, Cenek Skarda, Petr Somol:
Threat Hunting as a Similarity Search Problem on Multi-positive and Unlabeled Data. IEEE BigData 2021: 2098-2103 - [c42]Tomás Komárek, Jan Brabec, Petr Somol:
Explainable Multiple Instance Learning with Instance Selection Randomized Trees. ECML/PKDD (2) 2021: 715-730 - 2020
- [c41]Martin Flusser, Petr Somol:
Adaptive Approach for Density-Approximating Neural Network Models for Anomaly Detection. CISIS 2020: 415-425
2010 – 2019
- 2018
- [c40]Tomás Komárek, Petr Somol:
Multiple Instance Learning with Bag-Level Randomized Trees. ECML/PKDD (1) 2018: 259-272 - 2017
- [c39]Tomás Komárek, Petr Somol:
End-node Fingerprinting for Malware Detection on HTTPS Data. ARES 2017: 77:1-77:7 - [c38]Tomás Pevný, Petr Somol:
Using Neural Network Formalism to Solve Multiple-Instance Problems. ISNN (1) 2017: 135-142 - [i2]Tomás Pevný, Petr Somol:
Discriminative models for multi-instance problems with tree-structure. CoRR abs/1703.02868 (2017) - 2016
- [c37]Tomás Pevný, Petr Somol:
Discriminative Models for Multi-instance Problems with Tree Structure. AISec@CCS 2016: 83-91 - [i1]Tomás Pevný, Petr Somol:
Using Neural Network Formalism to Solve Multiple-Instance Problems. CoRR abs/1609.07257 (2016) - 2015
- [c36]Jirí Filip, Petr Somol:
Materials Classification Using Sparse Gray-Scale Bidirectional Reflectance Measurements. CAIP (2) 2015: 289-299 - 2013
- [c35]Petr Somol, Jirí Grim, Jirí Filip, Pavel Pudil:
On Stopping Rules in Dependency-Aware Feature Ranking. CIARP (1) 2013: 286-293 - 2012
- [c34]Hynek Kruzík, Jirí Vomlel, Václav Kratochvíl, Petr Tuma, Petr Somol:
Prediction Model of Inpatient Mortality for Patients with Myocardial Infarction. HEALTHINF 2012: 453-458 - 2011
- [j13]Petr Somol, Jirí Grim, Jana Novovicová, Pavel Pudil:
Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. Kybernetika 47(3): 401-425 (2011) - [c33]Petr Somol, Jirí Grim, Pavel Pudil:
Fast dependency-aware feature selection in very-high-dimensional pattern recognition. SMC 2011: 502-509 - 2010
- [j12]Petr Somol, Jana Novovicová:
Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality. IEEE Trans. Pattern Anal. Mach. Intell. 32(11): 1921-1939 (2010) - [c32]Petr Somol, Jirí Grim, Pavel Pudil:
The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround. ICPR 2010: 4396-4399 - [c31]Jirí Grim, Petr Somol, Pavel Pudil:
Digital Image Forgery Detection by Local Statistical Models. IIH-MSP 2010: 579-582
2000 – 2009
- 2009
- [j11]Jirí Grim, Petr Somol, Michal Haindl, Jan Danes:
Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models. IEEE Trans. Image Process. 18(4): 765-773 (2009) - [c30]Jana Novovicová, Petr Somol, Pavel Pudil:
A New Measure of Feature Selection Algorithms' Stability. ICDM Workshops 2009: 382-387 - [c29]Petr Somol, Jirí Grim, Pavel Pudil:
Criteria Ensembles in Feature Selection. MCS 2009: 304-313 - 2008
- [c28]Petr Somol, Jana Novovicová, Pavel Pudil:
Are Better Feature Selection Methods Actually Better? - Discussion, Reasoning and Examples. HEALTHINF (1) 2008: 246-253 - [c27]Nicholas Vretos, Vassilios Solachidis, Petr Somol, Ioannis Pitas:
Facial expression recognition using angle-related information from facial meshes. EUSIPCO 2008: 1-5 - [c26]Jirí Grim, Jana Novovicová, Petr Somol:
Structural poisson mixtures for classification of documents. ICPR 2008: 1-4 - [c25]Petr Somol, Jana Novovicová, Jirí Grim, Pavel Pudil:
Dynamic Oscillating Search algorithm for feature selection. ICPR 2008: 1-4 - [c24]Petr Somol, Jana Novovicová:
Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality. SSPR/SPR 2008: 956-966 - 2007
- [j10]Petr Somol, Jana Novovicová, Pavel Pudil:
Notes on the evolution of feature selection methodology. Kybernetika 43(5): 713-730 (2007) - [c23]Jana Novovicová, Petr Somol, Michal Haindl, Pavel Pudil:
Conditional Mutual Information Based Feature Selection for Classification Task. CIARP 2007: 417-426 - 2006
- [c22]Jirí Grim, Petr Somol, Michal Haindl, Pavel Pudil:
Color Texture Segmentation by Decomposition of Gaussian Mixture Model. CIARP 2006: 287-296 - [c21]Michal Haindl, Petr Somol, Dimitrios Ververidis, Constantine Kotropoulos:
Feature Selection Based on Mutual Correlation. CIARP 2006: 569-577 - [c20]Jana Novovicová, Petr Somol, Pavel Pudil:
Oscillating Feature Subset Search Algorithm for Text Categorization. CIARP 2006: 578-587 - [c19]Jirí Grim, Michal Haindl, Petr Somol, Pavel Pudil:
A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. ICPR (2) 2006: 235-238 - [c18]Petr Somol, Pavel Pudil:
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms. ICPR (2) 2006: 736-739 - [c17]Petr Somol, Jana Novovicová, Pavel Pudil:
Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection. SSPR/SPR 2006: 632-639 - 2005
- [j9]Petr Somol, Bart Baesens, Pavel Pudil, Jan Vanthienen:
Filter- versus wrapper-based feature selection for credit scoring. Int. J. Intell. Syst. 20(10): 985-999 (2005) - [j8]Jirí Grim, Petr Somol, Pavel Pudil:
Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognit. Lett. 26(12): 1866-1873 (2005) - [c16]Pavel Pudil, Petr Somol:
Current Feature Selection Techniques in Statistical Pattern Recognition. CORES 2005: 53-68 - [c15]Petr Somol, Michal Haindl:
Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling. WSCG (Full Papers) 2005: 155-162 - 2004
- [j7]Petr Somol, Pavel Pudil, Josef Kittler:
Fast Branch & Bound Algorithms for Optimal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 26(7): 900-912 (2004) - [c14]Michal Haindl, Jirí Grim, Petr Somol, Pavel Pudil, Mineichi Kudo:
A Gaussian Mixture-Based Colour Texture Model. ICPR (3) 2004: 177-180 - [c13]Petr Somol, Pavel Pudil, Jirí Grim:
On Prediction Mechanisms in Fast Branch & Bound Algorithms. SSPR/SPR 2004: 716-724 - 2002
- [j6]Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Multiple Classifier Fusion in Probabilistic Neural Networks. Pattern Anal. Appl. 5(2): 221-233 (2002) - [j5]Petr Somol, Pavel Pudil:
Feature selection toolbox. Pattern Recognit. 35(12): 2749-2759 (2002) - [j4]Pavel Pudil, Jana Novovicová, Petr Somol:
Feature selection toolbox software package. Pattern Recognit. Lett. 23(4): 487-492 (2002) - [c12]Jirí Grim, Pavel Pudil, Petr Somol:
Boosting in Probabilistic Neural Networks. ICPR (2) 2002: 136-139 - 2001
- [c11]Petr Somol, Pavel Pudil, Jirí Grim:
Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. ICAPR 2001: 230-239 - [c10]Josef Kittler, Pavel Pudil, Petr Somol:
Advances in Statistical Feature Selection. ICAPR 2001: 425-434 - [c9]Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Information Analysis of Multiple Classifier Fusion. Multiple Classifier Systems 2001: 168-177 - [c8]Petr Somol, Pavel Pudil:
Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition. PRIS 2001: 91-102 - 2000
- [j3]Pavel Paclík, Jana Novovicová, Pavel Pudil, Petr Somol:
Road sign classification using Laplace kernel classifier. Pattern Recognit. Lett. 21(13-14): 1165-1173 (2000) - [c7]Petr Somol, Pavel Pudil:
Oscillating Search Algorithms for Feature Selection. ICPR 2000: 2406-2409 - [c6]Jirí Grim, Pavel Pudil, Petr Somol:
Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. ICPR 2000: 2585-2589 - [c5]Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Combining Multiple Classifiers in Probabilistic Neural Networks. Multiple Classifier Systems 2000: 157-166 - [c4]Helmut A. Mayer, Petr Somol, Reinhold Huber, Pavel Pudil:
Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches. SSPR/SPR 2000: 77-86 - [c3]Mineichi Kudo, Petr Somol, Pavel Pudil, Masaru Shimbo, Jack Sklansky:
Comparison of Classifier-Specific Feature Selection Algorithms. SSPR/SPR 2000: 677-686
1990 – 1999
- 1999
- [j2]Petr Somol, Pavel Pudil, Jana Novovicová, Pavel Paclík:
Adaptive floating search methods in feature selection. Pattern Recognit. Lett. 20(11-13): 1157-1163 (1999) - 1998
- [j1]Pavel Pudil, Jana Novovicová, Petr Somol, Radek Vrnata:
Conceptual base of feature selection consulting system. Kybernetika 34(4): 451-460 (1998) - [c2]Jirí Grim, Jana Novovicová, Pavel Pudil, Petr Somol, Francesc J. Ferri:
Initializing normal mixtures of densities. ICPR 1998: 886-890 - [c1]Pavel Pudil, Jana Novovicová, Petr Somol, Radek Vrnata:
Feature Selection Expert - User Oriented Approach: Methodology and Concept of the System. SSPR/SPR 1998: 573-582
Coauthor Index
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