My major scientific curiosity questions are about emergence of complexity
and evolution of complex forms and interactions through adaptation.
Selected publications:
PhD thesis: Neuroevolutionary Algorithm and Software for Image Processing. Tomsk, 2007. In Russian. [pdf, zip, 2.69 MB]
Master's thesis: The Development of Genetic Algorithm for Neural Network Design and Tuning. Tomsk, 2004. In Russian. [pdf, 574 KB]
Book chapters:
Dehmer M., Emmert-Streib F., Tsoy Y., Varmuza K.
Quantifying Structural Complexity of Graphs: Information Measures in Mathematical Chemistry
/ In Putz M. (Editor): Quantum Frontiers of Atoms and Molecules in Physics, Chemistry, and Biology.
– Nova Science Publishers, 2010. – P. 467-485.
Tsoy Y., Red’ko V.G.
Estimating Speed and Efficiency of Evolutionary Algorithms
/ In Kureichik V., Red’ko V., Zinchenko L. (Eds):
Bionic Information Systems and their Applications. - Moscow: Physmatlit, 2011. - P. 110-127. In Russian.
Tsoy Y.
Neuroevolutionary Algorithms and Complex Adaptive Systems
/ In Kureichik V., Red’ko V., Zinchenko L. (Eds):
Bionic Information Systems and their Applications. - Moscow: Physmatlit, 2011. - P. 128-156. In Russian.
Tutorials & Lectures: 2012
Tsoy Y.R.
Heuristics for Neuroevolution
// Tomsk Lecture Series on Computational Intelligence. Tomsk, April, 2012. In Russian.
[pdf]
2011
Tsoy Y.R.
Estimation of Distribution Algorithms and Bayesian Optimization .
// Tomsk Lecture Series on Computational Intelligence. Tomsk, October, 2011. In Russian.
[pdf]
Tsoy Y.R.
Neuroevolutionary Algorithms.
// Tomsk Lecture Series on Computational Intelligence. Tomsk, June, 2011. In Russian.
[pdf]
Tsoy Y.R.
Algorithms NEAT and Hyper-NEAT.
// Tomsk Lecture Series on Computational Intelligence. Tomsk, June, 2011. In Russian.
[pdf]
Tsoy Y.R.
Neuroevolutionary Algorithms and Complex Adaptive Systems.
// Scientific Session of MEPHI - 2011.
National scientific-technical conference "Neuroinformatics-2011": Lectures on Neuroinformatics. -- Moscow, MEPHI, 2011. -- P. 14-43. In Russian.
2010
Tsoy Y.R.
Black Box Optimization Benchmarking - 2009 competition results.
// Tomsk Lecture Series on Computational Intelligence. Tomsk, April, 2010. In Russian.
[pdf]
Tsoy Y.R.
Artificial Neural Networks
// Tomsk Lecture Series on Computational Intelligence. Tomsk, March, 2010. In Russian.
[pdf]
2009
Tsoy Y.R.
Modern Open-Source Libraries for Evolutionary Computation
// Tomsk Lecture Series on Computational Intelligence. Tomsk, December, 2009. In Russian.
[pdf]
Tsoy Y.R.
Evolutionary Computation: History, State-of-the-art, and the Future
// Tomsk Lecture Series on Computational Intelligence. Tomsk, October, 2009. In Russian.
[pdf]
2007
Tsoy Y.R.
An Introduction to Neuro-Evolutionary Approach: Main Concepts and Applications // Scientific Session of MEPHI - 2007.
National scientific-technical conference "Neuroinformatics-2007": Lectures on Neuroinformatics, Vol. 2.
-- Moscow, MEPHI, 2007. -- P. 43-76. In Russian.
[pdf]
2006
Spitsyn V.G., Tsoy Y.R.
Evolving Artificial Neural Networks //
IV National conference for students, post-graduates and young scientists "Youth and
Modern Information Technologies". Tomsk, 2006. P. 411-413. In Russian.
Kolesnikova S.I., Lakhodynov V.S., Tsoy Y. Study of the stochastic system states recognition quality // Information Systems, 2010, no. 6, pp. 56-62. In Russian.
Dehmer M., Emmert-Streib F., Tsoy Y., Varmuza K. Novel Information Measure for the Analysis of Structure of Chemical Graphs // Bulletin of the Tomsk Polytechnic University, 2010, vol. 316, no. 5, pp. 5-11. In Russian.
2009
Tsoy Y.R., Spitsyn V.G. Neuroevolutionary Image Quality Enhancement // Bulletin of the TPU, 2009, no. 5, pp. 131-137.
Yankovskaya A.E., Tsoy Y.R. Using Genetic Algorithms in Intelligent Recognizing Systems
// Vestnik TSU. Control, computers and informatics. 2009. Vol. 7, no. 2, pp. 76-84.
2007
Red'ko V.G., Tsoy Y.R.
Efficiency of evolutionary search in quasispecies model
// Fuzzy Systems and Soft Computing,
2007, No. 1.
Tsoy Y.R.
Approximate Calculation of Local Mean and Deviation for Digital Images Processing //
Information Technologies, 2007, no. 4, pp. 28-32. In Russian.
2006
Tsoy Y.R., Spitsyn V.G.
An Approach to Enhancement of the Visual Quality of Monochrome and Color Images Based on
Application of the Evolving Neural Network // Information Technologies, 2006, no. 7, pp. 27-33. In Russian.
Tsoy Y.R., Spitsyn V.G. Evolutionary Approach to Design and Training of Neural Networks
// Neuroinformatics, 2006, Vol. 1, No. 1, pp. 31-58. (On-line reviewed journal). In Russian. Journal site
Tsoy Y.R. On Mathematical Models of the Evolutionary Algorithms //
Promising Information Technologies and Systems, 2006, No. 2, pp. 42-47.
(On-line Journal) In Russian. Journal site 2005
Red'ko V.G., Tsoy Y.R.
Estimation of Efficiency of Evolutionary Algorithms // Proceedings of the Russian Academy
of Sciences, 2005, vol. 404, no. 3, pp. 312-315. In Russian.
2004
Tsoy Y.R., Spitsyn V.G. Using genetic algorithm with adaptive mutation
mechanism for neural networks design and training // Optical memory and
neural networks, 2004, vol. 13, no. 4, pp. 225-232.
Conference Papers: 2012
Tsoy Y.R. What Neuroevolutionary Algorithm Without Heuristics Is Capable For? // Proceedings of the The 13th Russian Conference on Artificial Intelligence. - Belgorod, Russia, October 16-20, 2012. In Russian. In Press. [pdf]
Tsoy Y.R. Using Neural Networks for Dynamic Reduction of the Features Space Dimensionality // Proceedings of The 7th International Forum on Strategic Technology (IFOST2012). - Tomsk, Russia, September 18-21, 2012. In Press. [pdf] [presentation]
Tsoy Y.R. Using Bayesian optimization algorithm for neural network training // Proceedings of the V Pan-Russian conference "Optimization Problems and their Economical Applications". - Omsk, Russia, July 2-5, 2012. In Russian. [presentation (in Russian)]
Tsoy Y.R. Evolving Linear Neural Networks for Features Space Dimensionality Reduction // Proceedings of the 2012 IEEE International Joint Conference on Neural Networks (IJCNN 2012). - Brisbane, Australia, June, 10-15, 2012. P. 2227-2232. [pdf] [presentation]
Tsoy Y.R. Neuroevolutionary Method for Computing Pseudo-Principal Components // Pan-Russian Sci.-Tech. Conf. "Neuroinformatics-2012": Proc., Vol. 1. Moscow, Mephi, 2012. P. 21-30. In Russian. [pdf] [presentation]
2011
Tsoy Y.R. Neuroevolutionary Pseudo-Principal Components Analysis // Proceedings of the 8-th Open German-Russian workshop on pattern recognition and image understanding (21-26 Nov, 2011). Nizhniy Novgorod, Russia. P. 295-298. [pdf]
Tsoy Y.R. Improving quality of the combined training of neural networks // Proceedings of the 15-th Conference on Mathematical methods for pattern recognition, Petrozavodsk, Russia, September 11–17, 2011. - Moscow: MAKS Press, 2011. - P. 120-123. In Russian. [pdf]
Tsoy Y.R. Neuroevolutionary transform of a features space for neural classification problems // Proceedings of VI Conference on Integrated models and soft computing in artificial intelligence. (16-19 May 2011, Kolomna, Russia). Vol. 2. - Moscow: Physmatlit, 2011. - P. 669-676. In Russian. [pdf] [presentation]
Tsoy Y.R. Сombining neuroevolutionary and gradient learning for solving classification problems // Computational Intelligence (Results, Problems and Perspectives): Proceedings of the First International Conference (10-13 May 2011, Cherkasy, Ukraine). - Cherkasy: McLaut, 2011. - P. 75-76. [pdf]
2010
Tsoy Y.R. Do Corner Pixels Contain Enough Information for Image Categorization?// Proceedings of the 10th International Conference "Pattern Recognition and Image Analysis: New Information Technologies" PRIA-10-2010 (December 5-12, 2010. St. Petersburg, The Russian Federation) Vol. 1. - St. Petersburg: POLITECHNIKA, 2010. - P. 363-366.
Tsoy Y.R. On Adaptive Increase of the Features Space Dimensionality// 12th Int. Conf. with Int. Participation on Artificial Intelligence (CAI-2010), Vol. 4. – Moscow: Physmathlit, 2010. – P. 134-140. In Russian.
Spitsyn V.G., Tsoy Y.R., Bolotova Y.A. Neuroevolutionary Enhancement and Segmentation of Aerial Images // Proceedings of the 12-th International Conference "Digital Signals Processing and its Applications". - Moscow, 2010. - P. 342-345. In Russian.
Tsoy Y.R., Spitsyn V.G., Chernyavsky A.V. Neuroevolutionary Approach to Image Quality Assessment // National Sci.-Tech. Conf. "Neuroinformatics-2010": Proc., Vol. 2. – Moscow, Mephi, 2010. – P. 467-485. In Russian.
2009
Spitsyn V.G., Tsoy Y.R. Neuroevolutionary Digital Image Processing // Image Processing, Computer Vision, and Pattern Recognition: Proceedings of International Conference - Las Vegas, USA, July 13-16, 2009. - Las Vegas: CSREA Press U.S.A., 2009 - Vol. 2. - P. 833-838.
Tsoy Y.R., Spitsyn V.G. Fast Neuroevolutionary Digital Image Enhancement // 2009 USNC/URSI National Radio Science Meeting: Abstracts - Charleston, USA. - June 1-5, 2009. - Charleston: URSI. - 2009. - P. 345.
Yankovskaya A.E., Tsoy Y.R. Using Soft Computations for Construction of the Optimal Tests Subset // Proceedings of the 5-th Internationa Conference "Integrated Models and Soft Computations in Artificial Intelligence" (Moscow, Kolomna, May 28-30, 2009). - Moscow: Phizmatlit, 2009. - Vol. 2. - P. 662-669. In Russian.
Tsoy Y.R. On Evolving Neural Networks and Modelling of Open-Ended Evolution
// Scientific Session of MEPHI - 2009. National scientific-technical conference "Neuroinformatics-2009":
Proceedings, vol. 1. -- Moscow, MEPHI, 2009. -- P. 201. In Russian.
2008
Tsoy Y.R.
Computational Regulatory Networks and Self-Adaptive Neuroevolutionary Algorithm
// 11th Int. Conf. with Int. Participation on Artificial Intelligence (CAI-2008), Vol. 3.
– Moscow: LENAND, 2008. – P. 50-57.
Tsoy Y.R. Computational Regulatory Networks // Scientific Session of MEPHI - 2008.
National scientific-technical conference "Neuroinformatics-2008":
Proceedings, vol. 1. -- Moscow, MEPHI, 2008. -- P. 148. In Russian.
2007
Tsoy Y.R., Spitsyn V.G., Chernyavsky A.V. No-Reference Image Quality Assessment through
Interactive Neuroevolution // Proceedings of International Conference on Computer Graphics
(GraphiCon-2007), June 23-27, 2007, Moscow State University, Moscow, Russia, P. 156-159.
Tsoy Y.R. ECWorkshop - An Instrumental Classes Library for Evolutionary Computation //
Proceedings of the Joint international scientific-technical conferences
"IEEE Artificial Intelligent Systems (IEEE AIS'07)" and
"Intelligent Computer Aided Design (CAD-2007)". -- Moscow: Phizmatlit, 2007. -- P. 94-101.
In Russian. Project site 2006
Tsoy Y. R., Spitsyn V.G. Digital images enhancement with use of evolving neural networks //
Proceedings of the IX International Conference Parallel Problems Solving from Nature (PPSN-IX),
Reykjavik, Iceland, September 9-13, 2006. Lecture Notes in Computer Science, Vol. 4193. --
Berlin: Springer-Verlag, 2006. -- P. 593-602.
Tsoy Y.R. On Application of Neural Networks to Approximation of the Rules Table of
Cellular Automata // A.N. Gorban, E.M. Mirkes (Eds): Neuroinformatics and its Applications:
Proceedings of the XIV National workshop, October, 6-8, 2006. -- ICM SB RAS, Krasnoyarsk, 2006. -- P. 129-130.
Tsoy Y.R. One Method for Computing of Mixing Time of Genetic Crossing Operators //
Proceedings of 10th National Conference with International Participation on Artificial
Intelligence (CAI-2006), vol. 3. -- Moscow: Phizmatlit, 2006. -- P. 1047-1054.
2004
Tsoy Y. R., Spitsyn V.G. Multi-Agent Neuroevolutionary Approach to Adaptive Control //
In Proceedings of X Jubilee International scientific-technical conference of students and
young scientists "Modern Technique and Technologies". -- Tomsk: TPU Publishing, 2004.
-- P. 219-220.
Reports:
Tsoy Y. Neuroevolution: Randomness is the Simplest Thing? ANRG Report No. 1201. [pdf]
Co-Chair of the Mathematics Section at the International Conference of Students and Young Scientists "Perspectives of Development of the Fundamental Sciences" (Tomsk, Russia, 2009-2012).
Grant by Russian Foundation for Basic Research, project no. 12-08-00296-a "Creation of complex technologies of object recognition on images on the basis applying of models of visual perception and methods of computational intelligence", 2012-.... Researcher
Grant by Russian Foundation for Basic Research, project no. 11-07-00027-a "Basic Theory of Development and Software of High Performance Artificial Information System for Aerospace Monitoring", 2011-.... Researcher
Grant by Human Capital Foundation "Automated adaptive image categorization method", Russia, 2010. Head
Grant by Russian Foundation for Basic Research, project no. 09-08-00309-a "Development of software complex for the automated image processing and pattern recognition on the base of artificial neural networks, regulatory networks and evolutionary algorithms", 2009-.... Researcher
Grant by Russian Foundation for Basic Research, project no. 09-01-99014-r_ofi "Development of аpproaches to increase efficiency of pattern recognition methods and algorithms and their quality estimation", 2009-2010. Researcher
Grant by Russian Foundation for Basic Research, project no. 07-01-00452-a "Development of technology of problems solving connected on expert conclusion and based on logical tests as well as means of cognitive graphics in intelligent system", 2007-2009. Researcher
Individual grant for young scientists by Tomsk Polytechnic University "Development of the neural networks based method for enhancement of digital images", 2007. Head
Grant by Russian Foundation for Basic Research, project no. 06-08-00840 "Development of automation technologies of digital images enhancement on the base of evolving artificial neural network application", 2006-2008. Researcher
Academic Awards:
Laureate of the National competition "Best Engineer - 2010", 2011.
Laureate of the Award of the State Duma of Tomsk Oblast, 2009.
Award by Kapitsa Foundation for the best work in the "Mathematics and Informatics" competition, 2006.
I also have been consulting bachelor, engineering and master diploma works on evolutionary computation, neural networks, image analysis, GPGPU (CUDA) and infomation systems.
