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ORCIDPavel Polyakov
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2010 – 2019
- 2018
[c20]Ilya Makarov, Pavel Polyakov, Roman Karpichev:
Voronoi-based Path Planning based on Visibility and Kill/Death RatioTactical Component. AIST (Supplement) 2018: 129-140- 2017
- [c19]Ilya Makarov, Oleg Konoplia, Pavel Polyakov, Maxim Martynov, Peter Zyuzin, Olga Gerasimova, Valeria Bodishtianu:
Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets. FLAIRS 2017: 412-416 - [c18]Ilya Makarov, Vladimir Aliev, Olga Gerasimova, Pavel Polyakov:
Depth Map Interpolation Using Perceptual Loss. ISMAR Adjunct 2017: 93-94 - [c17]Alexander Ermakov, Pavel Polyakov:
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). DAMDID/RCDL 2017: 397-404 - 2016
- [j7]Alexander A. Frolov, Dusan Húsek
, Pavel Yu. Polyakov:
Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain. IEEE Trans. Neural Networks Learn. Syst. 27(3): 538-550 (2016) - [c16]Ilya Makarov, Pavel Polyakov:
Smoothing Voronoi-Based Path with Minimized Length and Visibility Using Composite Bezier Curves. AIST (Supplement) 2016: 191-202 - [c15]Ilya Makarov, Peter Zyuzin, Pavel Polyakov, Mikhail Tokmakov, Olga Gerasimova, Ivan Guschenko-Cheverda, Maxim Uriev:
Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game. EEML@CLA 2016: 24-33 - [c14]Ilya Makarov, Mikhail Tokmakov, Pavel Polyakov, Peter Zyuzin, Maxim Martynov, Oleg Konoplya, George Kuznetsov, Ivan Guschenko-Cheverda, Maxim Uriev, Ivan Mokeev, Olga Gerasimova, Lada Tokmakova, Alexey Kosmachev:
First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System. ACM Multimedia 2016: 735-736 - 2015
- [j6]Pavel Polyakov, Mariya Kalinina, Vladimir Pleshko:
Experiment in building an automatic object-oriented sentiment detection system based on the syntactic and semantic analyzer. Russ. Digit. Libr. J. 18(3-4): 185-202 (2015) - 2014
- [j5]Alexander A. Frolov, Dusan Húsek, Pavel Polyakov:
Two Expectation-Maximization algorithms for Boolean Factor Analysis. Neurocomputing 130: 83-97 (2014) - [j4]Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov, Václav Snásel:
New BFA method based on attractor neural network and likelihood maximization. Neurocomputing 132: 14-29 (2014) - 2012
- [c13]Alexander A. Frolov, Ajith Abraham, Pavel Yu. Polyakov, Dusan Húsek, Hana Rezanková:
BFA and BMF: What is the difference. ISDA 2012: 890-896 - [c12]Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov:
Attractor Neural Network Combined with Likelihood Maximization Algorithm for Boolean Factor Analysis. ISNN (1) 2012: 1-10 - 2011
- [c11]Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov:
New Measure of Boolean Factor Analysis Quality. ICANNGA (1) 2011: 100-109 - [c10]Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov:
Boolean Factor Analysis by Expectation-Maximization Method. IHCI 2011: 243-254 - [c9]Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov:
Expectation-maximization approach to Boolean factor analysis. IJCNN 2011: 559-566 - 2010
- [j3]Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Polyakov:
Origin and elimination of two global spurious attractors in Hopfield-like neural network performing Boolean factor analysis. Neurocomputing 73(7-9): 1394-1404 (2010) - [p1]Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Yu. Polyakov:
Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis. Advances in Machine Learning I 2010: 501-518
2000 – 2009
- 2009
- [j2]Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov:
Recurrent-Neural-Network-Based Boolean Factor Analysis and Its Application to Word Clustering. IEEE Trans. Neural Networks 20(7): 1073-1086 (2009) - 2008
- [c8]Dusan Húsek, Alexander A. Frolov, Hana Rezanková, Václav Snásel, Pavel Yu. Polyakov:
Some Remarks on Binary Data Grouping. DEXA Workshops 2008: 559-565 - [c7]Alexander A. Frolov, Dusan Húsek, Hana Rezanková, Václav Snásel, Pavel Polyakov:
Clustering variables by classical approaches and neural network Boolean factor analysis. IJCNN 2008: 3742-3746 - 2007
- [j1]Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Yu. Polyakov:
Boolean Factor Analysis by Attractor Neural Network. IEEE Trans. Neural Networks 18(3): 698-707 (2007) - [c6]Pavel Moravec, Václav Snásel, Alexander A. Frolov, Dusan Húsek, Hana Rezanková, Pavel Polyakov:
Image Analysis by Methods of Dimension Reduction. CISIM 2007: 272-277 - [c5]Václav Snásel, Pavel Moravec, Dusan Húsek, Alexander A. Frolov, Hana Rezanková, Pavel Polyakov:
Pattern Discovery for High-Dimensional Binary Datasets. ICONIP (1) 2007: 861-872 - [c4]Václav Snásel, Dusan Húsek, Alexander A. Frolov, Hana Rezanková, Pavel Moravec, Pavel Polyakov:
Bars Problem Solving - New Neural Network Method and Comparison. MICAI 2007: 671-682 - [c3]Dusan Húsek, Pavel Moravec, Václav Snásel, Alexander A. Frolov, Hana Rezanková, Pavel Polyakov:
Comparison of Neural Network Boolean Factor Analysis Method with Some Other Dimension Reduction Methods on Bars Problem. PReMI 2007: 235-243 - 2006
- [c2]Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, Hana Rezanková:
New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns. IJCNN 2006: 3486-3491 - 2005
- [c1]Dusan Húsek, Hana Rezanková, Václav Snásel, Alexander A. Frolov, Pavel Polyakov:
Neural network nonlinear factor analysis of high dimensional binary signals. SITIS 2005: 86-89
Coauthor Index
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