Pavel Polyakov

发表

Attractor Neural Network Combined with Likelihood Maximization Algorithm for Boolean Factor Analysis

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2012, ISNN.

New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns

Hana Rezanková, Alexander A. Frolov, Dusan Húsek, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Termination of the ice bucket challenge

Pavel Polyakov, 2018 .

New BFA method based on attractor neural network and likelihood maximization

Václav Snásel, Alexander A. Frolov, Dusan Húsek, 2014, Neurocomputing.

Image Analysis by Methods of Dimension Reduction

Václav Snásel, Hana Rezanková, Pavel Moravec, 2007, 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).

Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game

Pavel Polyakov, Olga Gerasimova, Ilya Makarov, 2016, EEML@CLA.

[POSTER] Depth Map Interpolation Using Perceptual Loss

Vladimir Aliev, Pavel Polyakov, Olga Gerasimova, 2017, 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct).

Pattern Discovery for High-Dimensional Binary Datasets

Václav Snásel, Hana Rezanková, Pavel Moravec, 2007, ICONIP.

Статистическая модель для распознавания смыслов в текстах иностранного языка с обучением на примерах из параллельных текстов (Statistical Model for Recognition of Senses in Foreign Language Texts Trained by Examples from Parallel Texts)

Alexander Ermakov, Pavel Polyakov, 2017, DAMDID/RCDL.

Some Remarks on Binary Data Grouping

Václav Snásel, Hana Rezanková, Alexander A. Frolov, 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

Boolean Factor Analysis by Expectation-Maximization Method

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2011, IHCI.

Clustering variables by classical approaches and neural network Boolean factor analysis

Václav Snásel, Hana Rezanková, Alexander A. Frolov, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

New Measure of Boolean Factor Analysis Quality

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2011, ICANNGA.

Experiment in building an automatic object-oriented sentiment detection system based on the syntactic and semantic analyzer

Pavel Polyakov, Mariya Kalinina, Vladimir Pleshko, 2015, Russ. Digit. Libr. J..

Comparison of Neural Network Boolean Factor Analysis Method with Some Other Dimension Reduction Methods on Bars Problem

Václav Snásel, Hana Rezanková, Pavel Moravec, 2007, PReMI.

Smoothing Voronoi-Based Path with Minimized Length and Visibility Using Composite Bezier Curves

Pavel Polyakov, Ilya Makarov, Ilya Makarov, 2016, AIST.

BFA and BMF: What is the difference

Ajith Abraham, Hana Rezanková, Alexander A. Frolov, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Bars Problem Solving - New Neural Network Method and Comparison

Václav Snásel, Hana Rezanková, Pavel Moravec, 2007, MICAI.

Boolean Factor Analysis by Attractor Neural Network

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2007, IEEE Transactions on Neural Networks.

Neural network nonlinear factor analysis of high dimensional binary signals

Václav Snásel, Hana Rezanková, Alexander A. Frolov, 2005, SITIS.

Recurrent-Neural-Network-Based Boolean Factor Analysis and Its Application to Word Clustering

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2009, IEEE Transactions on Neural Networks.

First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System

Pavel Polyakov, Olga Gerasimova, Ilya Makarov, 2016, ACM Multimedia.

Origin and elimination of two global spurious attractors in Hopfield-like neural network performing Boolean factor analysis

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2010, Neurocomputing.

Expectation-maximization approach to Boolean factor analysis

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2011, The 2011 International Joint Conference on Neural Networks.

Two Expectation-Maximization algorithms for Boolean Factor Analysis

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2014, Neurocomputing.

Voronoi-based Path Planning based on Visibility and Kill/Death RatioTactical Component

Pavel Polyakov, Ilya Makarov, Roman Karpichev, 2018, AIST.

Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets

Pavel Polyakov, Olga Gerasimova, Ilya Makarov, 2017, FLAIRS Conference.

Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, 2010, Advances in Machine Learning I.

Comparison of two neural networks approaches to Boolean matrix factorization

Pavel Polyakov, Dusan Husek, Alexander A. Frolov, 2009, 2009 First International Conference on Networked Digital Technologies.

Practical applications of fuzzy set theory in flight safety management

Pavel Polyakov, Valeriy Sharov, Sergei Tolstykh, 2021, MATEC Web of Conferences.

Estimation of Boolean Factor Analysis Performance by Informational Gain

Pavel Polyakov, Dusan Husek, D. Húsek, 2010 .

Neural network attempt to nonlinear binary factor analysis of textual data

Hana Rezankova, Vaclav Snasel, Pavel Polyakov, 2005 .

A comparative study of two methodologies for binary datasets analysis

Dušan Húsek, Pavel Polyakov, Hana Řezanková, 2012 .

Neural network Boolean factor analysis and application

Dušan Húsek, Vaclav Snasel, Pavel Polyakov, 2007 .