Selected Publications of Department of Neural Information Processing Technologies

2021

Denis Kleyko, Mike Davies, E. Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer Vector symbolic architectures as a computing framework for nanoscale hardware. arXiv:2106.05268. 2021. P. 1–28.

2020

Ganyushkin O.G., Desiateryk O.O. The automorphism group of a variant of a power set. International mathematical conference dedicated to the 60th anniversary of the department of algebra and mathematical logic of Taras Shevchenko National University of Kyiv. Kyiv, Ukraine. 2020. P. 36.
Tarasova A. The impact of learning using adaptive intellectual learning systems on the psychological well-being of the learner. EUROPEAN HUMANITIES STUDIES: State and Society. 2020. N 22(2). P. 96–112. DOI: https://doi.org/10.38014/ehs-ss.2020.2.07
Goltsev A., Gritsenko V., Húsek D. Segmentation of visual images by sequential extracting homogeneous texture areas. Journal of Signal and Information Processing. 2020. Vol. 11, N 4. P. 75–102. DOI: 10.4236/jsip.2020.114005

2019

Desiateryk O. On conditions for the Brandt semigroup to be non isomorphic to the variant. XII International Algebraic Conference in Ukraine dedicated to the 215th anniversary of V. Bunyakovsky. Vinnytsia, Ukraine. 2019. P. 25–26.
Rachkovskij D.A. Codevectors: Sparse Binary Distributed Representations of Numerical Data. Kiev: Interservice, 2019. 200 p. (in Russian). (pdf)
Rachkovskij D.A. Fast similarity search for graphs by edit distance. Cybernetics and Systems Analysis. 2019. Vol. 55, N 6. P. 1039–1051.
Rachkovskij D.A. Index structures for fast similarity search for symbol strings. Cybernetics and Systems Analysis. 2019. Vol. 55, N 5. P. 860–878.
Desiateryk O.O. On conditions for the Brandt semigroup to be non-isomorphic to the variant. Bulletin of Donetsk National University. Series A: Natural Sciences. 2019. N 1-2. P. 20–25. (in Ukrainian).

2018

Rachkovskij D.A. Index structures for fast similarity search for real-valued vectors. I. Cybernetics and Systems Analysis. 2018. Vol. 54, N 1. P. 152–164.
Rachkovskij D.A. Index structures for fast similarity search for real-valued vectors. II. Cybernetics and Systems Analysis. 2018. Vol. 54, N 2. P. 320–335.
Kleyko D., Rahimi A., Rachkovskij D.A., Osipov E., Rabaey J.M. Classification and recall with binary hyperdimensional computing: tradeoffs in choice of density and mapping characteristics. IEEE Transactions on Neural Networks and Learning Systems. 2018. Vol. 29 P. 5880–5898. 10.1109/TNNLS.2018.2814400.
Hieber F., Domhan T., Denkowski M., Vilar D., Sokolov A., Clifton A., Post M. The SOCKEYE Neural Machine Translation Toolkit at AMTA 2018. Conference on Machine Translation (AMTA 2018). Boston, USA. 2018. P. 200–207.
Rachkovskij D.A., Gritsenko V.I. Distributed Representation of Vector Data Based on Random Projections. Kiev: Interservice, 2018. 216 p. (in Ukrainian). (pdf)
Desiateryk O.O., Ganyushkin O.G. Variants of a lattice of partitions of a countable set. Algebra and Discrete Mathematics. 2018. Vol. 26, N 1. P. 8–18.
Revunova E.G. Increasing the accuracy of solving discrete ill-posed problems by the random projection method. Cybernetics and Systems Analysis. 2018. Vol. 54, N 5. P. 842–852.
Revunova E.G., Rachkovskij D.A. Random projection and truncated SVD for estimating direction of arrival in antenna array. Cybernetics and Computer Engineering. 2018. N 3(193). P. 5–26. (pdf)
Gritsenko V.I., Rachkovskij D.A., Revunova E.G. Neural distributed representation of vector data in intelligent information technologies. Cybernetics and Computer Engineering. 2018. N 4(194). P. 5–27. (pdf)
Revunova E.G. Solution of the discrete ill-posed problem on the basis of singular value decomposition and random projection. Advances in Intelligent Systems and Computing II. Cham: Springer. 2018. P. 434–449. (pdf)

2017

Kreutzer J., Sokolov A., Riezler S. Bandit structured prediction for neural sequence-to-sequence learning. 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017). Vancouver, Canada. 2017. P. 1503–1513.
Lawrence C., Sokolov A., Riezler S. Counterfactual learning from bandit feedback under deterministic logging: a case study in statistical machine translation. Empirical Methods in Natural Language Processing (EMNLP 2017). Copenhagen, Denmark. 2017. P. 2556–2566.
Sokolov A., Kreutzer J., Sunderland K., Danchenko P., Szymaniak W., Fürstenau H., Riezler S. A Shared task on bandit learning for machine translation. Conference on Machine Translation (WMT 2017). Copenhagen, Denmark. 2017. P. 514–524.
Revunova E.G. Averaging over matrices in solving discrete ill-posed problems on the basis of random projection. 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). Lviv, Ukraine. 2017. Vol. 1. P. 473–478.
Revunova E.G. Solution of the discrete ill-posed problem on the basis of singular value decomposition and random projection. Advances in Intelligent Systems and Computing II. 2017. P. 434–449.
Kreutzer J., Sokolov A., Riezler S. Bandit structured prediction for neural sequence-to-sequence learning. arXiv:1704.06497. 2017. P. 1–11.
Lawrence C., Sokolov A., Riezler S. Counterfactual learning from bandit feedback under deterministic logging: A case study in statistical machine translation. arXiv:1707.09118. 2017. P. 1–11.
Sokolov A., Kreutzer J., Sunderland K., Danchenko P. A Shared task on bandit learning for machine translation. arXiv:1707.09050. 2017. P. 1–11.
Sovero G., Kemper N., Kussul E. Load signature generator for appliance state sensing and energy disaggregation. IEEE Sensors Journal. 2017. Vol. 17, N 14. P. 4587–4594.
Baydyk T., Kussul E., Meza S.B. Facial recognition on the basis of facial fragments. International Journal of Computer, Electrical, Automation, Control and Information Engineering. 2017. Vol. 10, N 12. P. 2091–2095.
Rachkovskij D.A. Binary vectors for fast distance and similarity estimation. Cybernetics and Systems Analysis. 2017. Vol. 53, N 1. P. 138–156.
Rachkovskij D.A. Distance-based index structures for fast similarity search. Cybernetics and Systems Analysis. 2017. Vol. 53, N 4. P. 636–658.
Rachkovskij D.A. Index structures for fast similarity search for binary vectors. Cybernetics and Systems Analysis. 2017. Vol. 53, N 5. P. 799–820.
Gritsenko V.I., Rachkovskij D.A., Frolov A.A., Gayler R., Kleyko D., Osipov E. Neural distributed autoassociative memories: A survey. Cybernetics and Computer Engineering. 2017. N 2(188). P. 5–35.
Goltsev A., Gritsenko V.I., Husek D. Extraction of homogeneous fine-grained texture segments in visual images. Neural Network World. 2017. Vol. 27, N 5. P. 447–477.
Desiateryk O. Variants of the Rees matrix semigroup over the trivial group with zero. XI International Algebraic Conference in Ukraine. Kyiv, Ukraine. 2017. P. 33–34.
Desiateryk O.O. Variants of rectangular bands with an identity. Eighteenth International Scientific Mykhailo Kravchuk Conference. Kyiv, Ukraine. 2017. P. 157–158. http://matan.kpi.ua/public/files/2017/kravchuk-conf2017/Kravchuk2017-vol1
Kleyko D., Rahimi A., Rachkovskij D., Osipov E., Kanerva P., Rabaey J.M. Pattern recognition with sparse distributed representations. Proc. Electromyography-based Gesture Recognition.. 5th Neuro Inspired Computational Elements Workshop (NICE 2017). San Jose, CA, USA. 2017. P. 32.

2016

Baidyk T., Kussul E., Cruz Monterrosas Z., Ibarra Gallardo A.J., Roldan Serrato K.L., Conde C., Serrano A., Martin de Diego I., Cabello E. Face recognition using a permutation coding neural classifier. Neural Computing and Applications. 2016. Vol. 27, N 4. P. 973–987
Olvera-Tapia O., Kussul E., Rodríguez-Lelis J., Baidyk T., Sanchez J. Effect of bushing miniaturization on the static friction coefficient. Journal of Testing and Evaluation. 2016. Vol. 44, N 4. P. 1558–1567. DOI:10.1520/JTE20140284
Kleyko D., Osipov E., Rachkovskij D. Modification of holographic graph neuron using sparse distributed representations. Procedia Computer Science. 2016. Vol. 88 P. 39–45.
Revunova E.G. Model selection criteria for a linear model to solve discrete ill-posed problems on the basis of singular decomposition and random projection. Cybernetics and Systems Analysis. 2016. Vol. 52, N 4. P. 647–664.
Sokolov A., Kreutzer J., Lo C., Riezler S. Stochastic structured prediction under bandit feedback. Neural Information Processing Systems (NIPS 2016). Barcelona, Spain. 2016. P. 810–818.
Sokolov A., Kreutzer J., Lo C., Riezler S. Learning structured predictors from bandit feedback for interactive NLP. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Berlin, Germany. 2016. P. 1610–1620.
Boteva V., Gholipour D., Sokolov A., Riezler S. A Full-text learning to rank dataset for medical information retrieval. Proceedings of the European Conference on Information Retrieval (ECIR 2016). Padova, Italy. 2016. P. 716–722.
Sokolov A., Riezler S., Urvoy T. Bandit structured prediction for learning from partial feedback in statistical machine translation. arXiv:1601.04468. 2016. P. 1-12.
Rachkovskij D.A. Real-valued vectors for fast distance and similarity estimation. Cybernetics and Systems Analysis. 2016. Vol. 52, N 6. P. 967–988.

2015

Rachkovskij D.A. Formation of similarity-reflecting binary vectors with random binary projections. Cybernetics and Systems Analysis. 2015. Vol. 51, N 2. P. 313-323
Goltsev A., Gritsenko V. Modular neural networks with radial neural columnar architecture. Biologically Inspired Cognitive Architectures. 2015. Vol. 13 P. 63–74.
Rachkovskij D.A. Estimation of vector similarity by their randomized binary projections. Cybernetics and Systems Analysis. 2015. Vol. 51, N 5. P. 157–168.
Revunova E.G. Analytical study of the error components for the solution of > discrete ill-posed problems using random projections. Cybernetics and Systems Analysis. 2015. Vol. 51, N 6. P. 978–991.
Goltsev A., Gritsenko V., Kussul E., Baidyk T. Finding the texture features characterizing the most homogeneous texture segment in the image. 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). Palma de Mallorca, Spain. 2015. P. 287–300.
Lucero Roldan-Serrato, Tetyana Baydyk, Ernst Kussul, Alberto Escalante-Estrada, Maria Teresa Gonzalez Rodriguez Recognition of pests on crops with a random subspace classifier. IWOBI 2015 (4th International Work Conference on Bioinspired Intelligence). Donostia, Basque Country. 2015. P. 21–26.
Sokolov A., Riezler S., Cohen C. A coactive learning view of online structured prediction in statistical machine translation. Proceedings of the Nineteenth Conference on Computational Natural Language Learning. Beijing, China. 2015. P. 1–11.
Sokolov A., Riezler S., Cohen C. Coactive learning for interactive machine translation. Proceedings of the ICML Workshop on Machine Learning for Interactive Systems (ICML-MLIS). Lille, France. 2015. P. 41–45.
Sokolov A., Riezler S., Urvoy T. Bandit structured prediction for learning from user feedback in statistical machine translation. Accepted MT Summit. Miami, FL, USA. 2015. P. 1–12.
Desiateryk O. Variants of an infinite commutative band. X International Algebraic Conference in Ukraine dedicated to the 70th anniversary of Yu. A. Drozd. Odessa, Ukraine. 2015. P. 31.
Revunova E.G., Tyshchuk A.V., Desiateryk A.A. Model selection criteria for solving of discrete ill-posed problem by SVD and QR decompositions. Inductive modeling of complex system. 2015. N 7. P. 232–239. (in Russian).
Revunova E.G., Tyshchuk A.V. A Model selection criterion for solution of discrete ill-posed problems based on the singular value decomposition. The 7th International Workshop on Inductive Modelling (IWIM 2015). Zhukyn-Kyiv, Ukraine. 2015. Vol. 1. P. 43–47. (pdf)

2014

Patent 104674 Ukraine, G06F 17/14. Method and computer system for data vector array conversion / Rachkovskij D.A., Gritsenko V.I., Misuno I.S., Slipchenko S.V.; № a 2012 12692 filing date: 04.11.2012; date: 25.02.2014, Bul. №4. 24 P. (in Ukrainian).
Rachkovskij D.A. Vector data transformation using random binary matrices. Cybernetics and Systems Analysis. 2014. Vol. 50, N 6. P. 960-968
Monterrosas Z. C., Baidyk T., Kussul E., Gallardo J.I. Rotation distorsions for improvement in face recognition with PCNC. IWOBI 2014, International Conference and Work Shop on Bioinspired Intelligence. Campus Liberia, Costa Rica. 2014. P. 50-55
Gallardo J.I., Monterrosas Z. C., Kussul E., Baidyk T. Face recognition with permutation coding neural classifier improved with skewing transformations. MVML 2014, International Conference on Machine Vision and Machine Learning. Prague, Czech Republic. 2014. P. 132.1-132.9
Kussul E., Baidyk T. ESOM-03: Seasonal thermal energy storage. ICCE 2014: International Conference and Exhibition on Clean Energy. Laval University, Quebec, Canada. 2014. P. 1-7
Baidyk T., Kussul E. ESOM-15: Small flat facet solar concentrators. ICCE 2014: International Conference and Exhibition on Clean Energy. Laval University, Quebec, Canada. 2014. P. 21-28
Roldan-Serrato L., Baidyk T., Kussul E., Escalante-Estrada A., Velasco-Herrera G. Random subspace classifier for recognition of pests on crops. The Twelfth All-Ukrainian International Conference on Signal/Image Processing and Pattern Recognition UkrObraz’2014. Kyiv, Ukraine. 2014. P. 9-12
Slipchenko S. Reasoning by analogy for fact extraction. The Twelfth All-Ukrainian International Conference on Signal/Image Processing and Pattern Recognition UkrObraz’2014. Kyiv, Ukraine. 2014. P. 31-34
Acosta M., Baidyk T., Kussul E., Serrato K., Tapia O. Measurements in micromechanics based on computer vision. The Twelfth All-Ukrainian International Conference on Signal/Image Processing and Pattern Recognition UkrObraz’2014. Kyiv, Ukraine. 2014. P. 119-122
Acosta M., Baidyk T., Kussul E., Tapia O., Serrato K. Development of computer vision system for automation of flat mirror solar concentrator assembly. The Twelfth All-Ukrainian International Conference on Signal/Image Processing and Pattern Recognition UkrObraz’2014. Kyiv, Ukraine. 2014. P. 131-134
Sokolov A., Hieber F., Riezler S. Learning to translate queries for CLIR. Proceedings of the 37th international ACM SIGIR conference on Research and development in information retrieval. Gold Coast, Australia. 2014. P. 1179-1182
Schamoni S., Hieber F., Sokolov A., Riezler S. Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL). Baltimore, USA. 2014. P. 488-494

2013

Rachkovskij D., Kussul E., Baidyk T. Building a world model with structure-sensitive sparse binary distributed representations. Biologically Inspired Cognitive Architectures. 2013. Vol. 3, N 1. P. 64-86
Gritsenko V.I., Rachkovskij D.A., Goltsev A.D., Lukovych V.V., Misuno I.S., Omelchenko R.S., Revunova E.G., Slipchenko S.V., Sokolov A.M., Talaev S.A. Neural distributed representation for intelligent information technologies and modelling of thinking. Cybernetics and Computer Engineering. 2013. N 173. P. 7-24 (in Russian) (pdf)
Goltsev A.D., Gritsenko V.I. Algorithm of sequential finding the textural features characterizing homogeneous texture segments for the image segmentation task. Cybernetics and Computer Engineering. 2013. N 173. P. 25-34 (in Russian) (pdf)
Revunova E.G. Randomization approach to the recovery of signals resulted from indirect measurements. Cybernetics and Computer Engineering. 2013. N 173. P. 35-46 (in Russian). (pdf)
Kussul E.M., Baidyk T.N. Micromechanics as a testbed for evaluation of artificial intelligence methods in manufacturing. Cybernetics and Computer Engineering. 2013. N 173. P. 47-57 (pdf)
Slipchenko S.V. Named entity recognition using context vectors. Cybernetics and Computer Engineering. 2013. N 173. P. 58-64 (in Russian). (pdf)
Lukovych V.V. Simple architecture of convolution neural network for handwritten digit recognition. Cybernetics and Computer Engineering. 2013. N 173. P. 65-73 (in Russian). (pdf)
Kasatkina L.M., Kasatkin A.M., Goltsev A.D., Rachkovskij D.A. The implementation of the ideas of academician N.M. Amosov in neural information technologies. Cybernetics and Computer Engineering. 2013. N 174. P. 18-29 (in Russian). (pdf)
Revunova E.G. Randomization approach to the reconstruction of signals resulted from indirect measurements. The 6th International Conference on Inductive Modelling (IСIM’2013). Kyiv, Ukraine. 2013. Vol. 1. P. 203-208
Patent 102980 Ukraine, G06F 17/14. Method and system for conversion of data input vector / Rachkovskij D.A., Gritsenko V.I.; № a 2012 12937 filing date: 14.11.2012; date: 27.08.2013, Bul. №16. 6 P. (in Ukrainian).
Omelchenko R.S. Spellchecker based on distributed representation. Problems in programming. 2013. N 4. P. 35-42 (in Russian).

2012

Rachkovskij D., Misuno I., Slipchenko S. Randomized projective methods for construction of binary sparse vector representations. Cybernetics and Systems Analysis. 2012. Vol. 48, N 1. P. 146-156
Rachkovskij D., Slipchenko S. Similarity-based retrieval with structure-sensitive sparse binary distributed representations. Computational Intelligence. 2012. Vol. 28, N 1. P. 106-129
Goltsev A., Gritsenko V. Investigation of efficient features for image recognition by neural networks. Neural Networks. 2012. Vol. 28 P. 15-23
Rachkovskij D.A., Revunova E.G. A randomized method for solving discrete ill-posed problems. Cybernetics and Systems Analysis. 2012. Vol. 48, N 4. P. 621-635
Rachkovskij D.A., Goltsev A.D., Lukovych V.V., Misuno I.S., Omelchenko R.S., Revunova E.G., Slipchenko S.V., Sokolov A.M. Neural distributed representations for more efficient and intelligent information technologies. XVI International Conference on Neurocybernetics (ICNC-12). Rostov-on-Don, Russia. 2012. Vol. 2. P. 162-179 (in Russian)
Slipchenko S.V. Visual segmentation of Web pages. Intellectual Analysis Of Information IAI-2012. Kyiv, Ukraine. 2012. P. 162–172 (in Russian)
Revunova E.G., Rachkovskij D.A. Stable Transformation of a Linear System Output to the Output of System with a Given Basis by Random Projections. The 5th International Workshop on Inductive Modelling (IWIM-2012). Kyiv, Ukraine. 2012. Vol. 1. P. 37-41
Patent 100288 Ukraine, G06F 17/00, G06F 17/16. Method for the determination of magnitudes of physical quantities / Gritsenko V.I., Rachkovskij D.A., Revunova E.G.; № a 2011 01844 filing date: 17.02.2011; date: 10.12.2012, Bul. №23. 11 P. (in Ukrainian).

2011

Revunova E.G. Using Model Selection Criteria for Solving Discrete Ill-Posed Problems by Randomized Algorithms. The 4th International Workshop on Inductive Modelling (IWIM’2011). Kyiv, Ukraine. 2011. Vol. 1. P. 89-97
Revunova E.G., Zabulonov Yu.L. Finding the error minimum in solving the inverse problem by the method of random projections. Modern information security. 2011. N 2. P. 106-113 (in Russian)
Sokolov A., Yvon F. Minimum error rate training semiring. 15th European Association for Machine Translation (EAMT). Leuven, Belgium. 2011. P. 241-248
Kussul E., Makeyev O., Baidyk T., Saniger Blesa J., Bruce N., Lara-Rosano F. The Problem of Automation of Solar Concentrator Assembly and Adjustment. International Journal of Advanced Robotic Systems. 2011. Vol. 8, N 4. P. 150-157
Vega A., Baidyk T., Kussul E., Pérez Silva J.L. FPGA Realization of the LIRA Neural Classifier. Optical Memory and Neural Networks (Information Optics). 2011. Vol. 20, N 3. P. 168-180
Enriquez J., Kussul E., Baidyk T. A New Optical Rangefinder Design for Detection of Obstacles. Sensing and Imaging: An International Journal. 2011. Vol. 12, N 1-2. P. 51-71
Vega A., Baidyk T., Kussul E., Pérez Silva J.L. FPGA based LIRA neural classifier. IEEE CERMA 2011 (Congreso de Electróonica, Robótica, y Mecánica Automotriz). Morelos, Cuernavaca, Mexico. 2011. P. 6
Baidyk T., Kussul E., Vega A., Gonzalez C. Tissue Analysis with Random Subspace Neural Classifier. International Conference on Innovative Technologies, In-Tech 2011. Bratislava, Slovakia. 2011. P. 45-49
Kussul E., Makeyev O., Baidyk T., Saniger Blesa J., Bruce N., Lara-Rosano F. Adjustment of Solar Concentrator support frame. International Conference on Innovative Technologies, In-Tech 2011. Bratislava, Slovakia. 2011. P. 314-316
Kussul E., Baidyk T., Saniger Blesa J., Bruce N., Lara-Rosano F. Travelling Energy Collectors. World Renewable Energy Congress 2011. Linköping, Sweden. 2011. P. 8
Sokolov A., Urvoy T., Le H.-S. Low-Dimensional Feature Learning with Kernel Construction. The NIPS 2011 Workshop on Deep Learning and Unsupervised Feature Learning. Granada, Spain. 2011. P. 1-9
Revunova E.G. Improving the accuracy of parameter vector estimation by transforming a linear system to a system with specified properties. Inductive modeling of complex systems. 2011. N 3. P. 165-173 (in Russian)
Rachkovskij D.A., Revunova E.G. Intelligent Gamma-Ray Data Processing for Environmental Monitoring. Intelligent Data Processing in Global Monitoring for Environment and Security. Kiev-Sofia: ITHEA, 2011. P. 136-157

2010

Goltsev A.D., Gritsenko V.I. Modular neural network with inter-modular learning connections. Proceedings of XII All-Russian Scientific and Technical Conference "Neuroinformatics-2010". Moscow, Russia. 2010. Vol. 2. P. 210-218 (in Russian)
Revunova E.G. Study error components for solving the inverse problem using random projections. Mathematical Machines and Systems. 2010. N 4. P. 33-42 (in Russian)
Revunova E.G. Finding the error minimum using the model selection criteria in solving the inverse problem by the method of random projections. Inductive modeling of complex systems. 2010. N 2. P. 174-180 (in Russian)
Revunova E.G. Study of error components for solution of the inverse problem using random projections. Conf. on Inductive Modeling (IСIM-10). Evpatoria, Ukraine. 2010. Vol. 1. P. 1–7
Lukovych V.V. A Simple Convolutional Neural Network for Recognition of Handwritten Digits. The Tenth All-Ukrainian International Conference on Signal/Image Processing and Pattern Recognition UkrObraz’2010. Kyiv, Ukraine. 2010. P. 137-140 (in Ukrainian)

2009

Goltsev A., Gritsenko V. Modular Neural Networks with Hebbian learning rule. Neurocomputing. 2009. Vol. 72, N 10-12. P. 2477-2482
Slipchenko S., Rachkovskij D. Mapping and analogical inference based on neural distributed representations. 15-th Intern. Conf. Knowledge-Dialogue-Solution. Varna, Bulgaria. 2009. Vol. 9. P. 95–101 (in Russian)
Rachkovskij D., Slipchenko S., Misuno I. Mercer kernels for the numeric vector coding by random hyper-rectangular receptive fields in classification tasks. 16-th International Conference on Neurocybernetics. Rostov-on-Don, Russia. 2009. Vol. 2. P. 150-153 (in Russian)
Revunova E.G., Rachkovskij D.A. Using randomized algorithms for solving discrete ill-posed problems. International Journal "Information Theories and Applications". 2009. Vol. 16, N 2. P. 176-192
Slipchenko S.V., Rachkovskij D.A. Analogical mapping using similarity of binary distributed representations. International Journal "Information Theories and Applications". 2009. Vol. 16, N 3. P. 269-290
Revunova E.G., Rachkovskij D.A. Improving the accuracy of solving discrete ill-posed problems using random projections. XV International Conference «Knowledge-Dialogue-Solution» (KDS-2 2009). Kyiv, Ukraine. 2009. P. 93-98 (in Russian)
Zabulonov Yu.L., Korostil Yu.M., Lisichenko G.V., Revunova E.G. Identifying radiation sources by independent component analysis. Modelling and information technologies. 2009. N 52. P. 73-79 (in Russian)
Zabulonov Yu.L., Lisichenko G.V., Odukalets L.A., Revunova E.G. Increasing the accuracy of radionuclide identification by matching pursuit. Modelling and information technologies. 2009. N 53. P. 108-114 (in Russian)
Zabulonov Yu.L., Lisichenko G.V., Revunova E.G. Stochastic regularization of the inverse problem of recovering the parameters of the radioactivity field by the aerial gamma survey data . Problems of Modeling in Power Engineering. 2009. N 52. P. 89-96 (in Russian)
Kussul E.M., Baidyk T.N., Wunsch D.C. Neural Networks and Micro Mechanics. New York: Springer, 2009. 210 p.
Kussul E.M., Baidyk T.N. Redes neuronales, visión computacional y micromecánica. Mexico: ITACA, UNAM, 2009. 158 p.
Zabulonov Yu.L., Lisichenko G.V., Revunova E.G. Improving the efficiency of solving the inverse problem using the projection approach . Problems of modeling in power engineering. 2009. N 53. P. 94-100 (in Russian)

2008

Revunova E.G. Information technology and methods for analysis of signal mixtures based on the models linear with respect to parameters. PhD thesis for acquiring scientific degree of Candidate of Technical Science on specialty 05.13.06 - Information Technologies. Kyiv: IRTC ITS. 2008. 184 p. (in Russian)
Sokolov A. Randomized edit distance embedding in gene finding and intrusion detection. System technologies. 2008. N 2(55). P. 126–139 (in Russian)
Sokolov A. Investigation of accelerated search for close text sequences with the help of vector representations. Cybernetics and Systems Analysis. 2008. Vol. 44, N 4. P. 493–506
Rachkovskij D.A. Modeling of human thinking as the way to increasing intellectuality of information technologies and systems. System Technologies. 2008. N 4(57). P. 145-162 (in Russian)

2007

Rachkovskij D.A. Linear classifiers based on binary distributed representations. International Journal Information Theories and Applications. 2007. Vol. 14, N 3. P. 270-274
Sokolov A. Searching for Nearest Strings with Neural-like String Embedding. International Journal Information Theories and Applications. 2007. Vol. 14, N 3. P. 294–299
Sokolov A. Vector representations for efficient comparison and search for similar strings. Cybernetics and Systems Analysis. 2007. Vol. 43, N 4. P. 484–498
Revunova E.G. Information technology of data analysis by linear modeling in the uncertainly conditions. Adaptive automatic control systems. 2007. N 11(31). P. 72-80 (in Russian)
Revunova E.G. Blind source separation based on minimum description length. Intern. Workshop on Inductive Modelling (IWIM-07). Prague. 2007. Vol. 1. P. 318–321
Revunova E.G., Zabulonov Yu.L., Lisichenko G.V., Platanovskij I.M, Slipchenko B.V., Odukalets L.A. Specialties of remote radiation monitoring by the "ASPEC" system. Modelling and information technologies. 2007. N 44. P. 23-28 (in Russian)

2006

Sokolov A.M., Rachkovskij D.A. Approaches to sequence similarity representation. International Journal Information Theories and Applications. 2006. Vol. 13, N 3. P. 272–278
Misuno I.S. Vector representation and classification of textual information. Control Systems and Machines. 2006. N 1. P. 85-91 (in Russian)
Frolov A. A., Husek D., Rachkovskij D.A. Time of searching for similar binary vectors in associative memory. Cybernetics and Systems Analysis. 2006. Vol. 42, N 5. P. 615-623
Sokolov A. Nearest string by neural-like encoding. 12-th Intern. Conf. Knowledge-Dialogue-Solution. Varna, Bulgaria. 2006. P. 101–106
Slipchenko S.V. Numeric and symbolic information processing based on distributed representation in Artificial Intelligence tasks. PhD thesis for acquiring scientific degree of Candidate of Technical Science on specialty 05.13.23 - Systems and Means of Artificial Intelligence. Kiev: IRTC ITS. 2006. 183 p. (in Russian)
Misuno I.S. Vector representation of information for retrieval and classification tasks. PhD thesis for acquiring scientific degree of Candidate of Technical Science on specialty 05.13.23 - Systems and Means of Artificial Intelligence. Kiev: IRTC ITS. 2006. 167 p. (in Russian)
Zabulonov Yu.L., Korostil Yu.M., Revunova E.G. Optimization of inverse problem solution to obtain the distribution density function for surface contaminations. Modelling and information technologies. 2006. N 39. P. 77-83 (in Russian)
Zabulonov Yu.L., Revunova E.G. Hardware systolic method of distribution density function reconstruction for surface contaminations by inverse problem solution. Modelling and information technologies. 2006. N 36. P. 127-131 (in Russian)
Kasatkina L.M., Lukovych V.V., Pilipenko V.V. Speaker Recognition with LIRA Classifier. Control Systems and Computers. 2006. N 3. P. 67-73 (in Russian)
Kasatkina L.M., Lukovych V.V., Pilipenko V.V. Influence of Phonograms Quality on the Reliability of Voice Identification. Control Systems and Computers. 2006. N 4. P. 68-73 (in Russian)
Kasatkina L.M., Lukovych V.V., Pilipenko V.V. An Information Technology for Fast Speaker Search by Voice in Audio Databases. Control Systems and Computers. 2006. N 5. P. 61-67 (in Russian)

2005

Goltsev A.D., Rachkovskij D.A. Combination of the assembly neural network with a perceptron for recognition of handwritten digits arranged in numeral strings. Pattern Recognition. 2005. Vol. 38, N 3. P. 315–322
Rachkovskij D.A., Slipchenko S.V., Kussul E.M., Baidyk T.N. Binding procedure for binary distributed data representation. Cybernetics and Systems Analysis. 2005. N 3. P. 3-18 (in Russian)
Rachkovskij D.A., Misuno I.S., Slipchenko S.V., Sokolov A.M. Analogical Access with Distributed Representations. Problems in Programming. 2005. N 1. P. 39-50 (in Russian)
Rachkovskij D.A., Slipchenko S.V. Approaches to analogical mapping with distributed representations. Computer Mathematics. 2005. N 1. P. 55-69 (in Russian)
Rachkovskij D.A., Slipchenko S.V., Kussul E.M., Baidyk T.N. Sparse Binary Distributed Encoding of Scalars. Journal of Automation and Information Sciences. 2005. Vol. 37, N 6. P. 12-23
Rachkovskij D.A., Slipchenko S.V., Misuno I.S., Kussul E.M., Baidyk T.N. Sparse Binary Distributed Encoding of Numeric Vectors. Journal of Automation and Information Sciences. 2005. Vol. 37, N 11. P. 47-61
Slipchenko S.V., Rachkovskij D.A., Misuno I.S. Decoding binary distributed representatons of numerical vectors. Computer Mathematics. 2005. N 3. P. 108-120 (in Russian)
Misuno I.S., Rachkovskij D.A., Revunova E.G., Slipchenko S.V., Sokolov A., Teteriuk A.E. Modular software neurocomputer SNC: implementation and applications. Control Systems and Machines. 2005. N 2. P. 74–85 (in Russian)
Rachkovskij D.A., Slipchenko S.V., Kussul E.M., Baidyk T.N. Properties of Numeric Codes for the Scheme of Random Subspaces RSC. Cybernetics and Systems Analysis. 2005. Vol. 41, N 4. P. 509-520
Slipchenko S.V., Misuno I.S., Rachkovskij D.A. Properties of coarse coding with random hyperrectangle receptive fields. Mathematical Machines and Systems. 2005. N 4. P. 15–29 (in Russian)
Misuno I.S., Rachkovskij D.A., Slipchenko S.V. Experimental investigation of handwritten digit classification. System Technologies. 2005. N 4(39). P. 110-133 (in Russian)
Misuno I.S., Rachkovskij D.A., Slipchenko S.V. Vector and distributed representations reflecting semantic relatedness of words. Mathematical Machines and Systems. 2005. N 3. P. 50–66 (in Russian)
Revunova E.G. Comparison of model selection criteria in the approximation tasks with natural basis. Mathematical Machines and Systems. 2005. N 3. P. 116–125 (in Russian)
Rachkovskij D.A., Slipchenko S.V., Frolov A. A., Gusek D. Resolution of Binary Coding of Real-Valued Vectors by Hyperrectangular Receiptive Fields. Cybernetics and Systems Analysis. 2005. Vol. 41, N 5. P. 635-646
Misuno I.S., Rachkovskij D.A., Slipchenko S.V., Sokolov A.M. Searching for text information with vector representations. Problems in Programming. 2005. N 4. P. 50–59 (in Russian)
Rachkovskij D.A., Misuno I.S., Revunova E.G., Slipchenko S.V., Sokolov A.M. Conception and methods of neural distributed information representation in AI problems. 14-th International Conference on Neurocybernetics. Rostov-on-Don, Russia. 2005. Vol. 2. P. 30-33 (in Russian)
Revunova E.G., Rachkovskij D.A. Building linear model by gamma radiation spectrum under noise conditions. International Workshop on Inductive Modelling '05 (IWIM-05). Kiev, Ukraine. 2005. Vol. 1. P. 250-254 (in Russian)
Misuno I.S., Rachkovskij D.A., Slipchenko S.V., Sokolov A.M. Processing text information with vector representations. International Workshop on Inductive Modelling '05 (IWIM-05). Kiev, Ukraine. 2005. Vol. 1. P. 230–236 (in Russian)
Misuno I.S. Reduction of feature pool in large-scale classification tasks. 14-th International Conference on Neurocybernetics. Rostov-on-Don, Russia. 2005. Vol. 2. P. 70-73
Revunova E.G., Rachkovskij D.A. Jamming cancellation based on a stable LSP solution. 11-th Intern. Conf. Knowledge-Dialogue-Solution. Varna, Bulgaria. 2005. Vol. 2. P. 578-583
Sokolov A., Rachkovskij D. Some approaches to distributed encoding of sequences. 11-th Intern. Conf. Knowledge-Dialogue-Solution. Varna, Bulgaria. 2005. Vol. 2. P. 522–528
Goltsev A.D. Neural networks with the assembly organization. Kiev: Naukova Dumka, 2005. 200 p. (in Russian)
Revunova E.G., Rachkovskij D.A. Training a linear neural network with a stable LSP solution for jamming cancellation. International Journal Information Theories and Applications. 2005. Vol. 12, N 3. P. 224-230
Slipchenko S.V. SLANG: A Symbolic Language for Distributed Representation. 14-th International Conference on Neurocybernetics. Rostov-on-Don, Russia. 2005. Vol. 2. P. 237-239
Slipchenko S.V. Distributed representations in the problems of processing structured numeric and symbolic information. System Technologies. 2005. N 6(41). P. 134-141 (in Russian)
Revunova E.G. Signals mixtures separation on the basis of minimal description length principle. Computers tools, networks and systems. 2005. N 4. P. 86-93 (in Russian)
Revunova E.G. Two approaches to signals mixtures separation on the basis of linear modeling. System technologies. 2005. N 6(41). P. 142-148 (in Russian)
Zabulonov Yu.L., Lisichenko G.V., Revunova E.G. Increase of radionuclides identification reliability at the analysis of the low intensity radiation fields. Proceedings of Sevastopol Institute of Nuclear Energyand Industry. 2005. N 16. P. 114-124 (in Russian)
Revunova E.G. Application of ICA to jamming cancellation. 14-th Intern. Conf. "Problems of Neurocybernetics. Rostov-on-Don, Russia. 2005. Vol. 2. P. 230–234
Goltsev А., Husek D., Frolov A. Assembly neural network with nearest-neighbor recognition algorithm. Neural Network World. 2005. Vol. 15, N 1. P. 9-22

2004

Rachkovskij D.A. Some Approaches to Analogical Mapping with Structure Sensitive Distributed Representations. Journal of Experimental and Theoretical Artificial Intelligence. 2004. Vol. 16, N 3. P. 125-145
Sokolov A. Modern models for anomaly detection in computer systems. Control Systems and Machines. 2004. N 5. P. 67–73 (in Russian)
Gritsenko V.I., Misuno I.S., Rachkovskij D.A., Revunova E.G., Slipchenko S.V., Sokolov A. Conception and architecture of the software neurocomputer SNC. Control Systems and Machines. 2004. N 3. P. 3–14 (in Russian)
Zabulonov Yu.L., Lisichenko G.V., Revunova E.G. Express-analysis of radionuclide composition by approximation approach to the spectrum reconstruction. Geochemistry and ecology. 2004. N 10. P. 32-38 (in Russian)
Goltsev А., Wunsch D.C. Generalization of features in the assembly neural networks. International Journal of Neural Systems (IJNS). 2004. Vol. 14, N 1. P. 39-56
Goltsev А. Secondary learning in the assembly neural network. Neurocomputing. 2004. Vol. 62 P. 405-426
Zabulonov Yu.L., Lisichenko G.V., Revunova E.G. Determining the extent of radioactive contamination of objects in non-fixed geometry. Modelling and information technologies. 2004. N 27. P. 95-101 (in Ukrainian)

2003

Rachkovskij D.A., Misuno I.S., Revunova E.G. Random vector indexing of documents and semantic representations of words. 5-th All-Russian Science and Technology Conference "Neuroinformatics 2003". Moscow, Russia. 2003. P. 213-218
Sokolov A.M., Rachkovskij D.A. On Handling Replay Attacks in Intrusion Detection Systems. 10-th Intern. Conf. Knowledge-Dialogue-Solution. Varna, Bulgaria. 2003. P. 258–265
Sokolov A.M., Rachkovskij D.A. On Handling Replay Attacks in Intrusion Detection Systems. International Journal Information Theories and Applications. 2003. Vol. 10, N 3. P. 341–348
Kussul N., Sokolov A. Adaptive Anomaly Detection of Computer System User’s Behavior Applying Markovian Chains with Variable Memory Length. Part I. Adaptive Model of Markovian Chains with Variable Memory Length. Journal of Automation and Information Sciences. 2003. Vol. 35, N 6. P. 1a–9a
Kussul N., Sokolov A. Adaptive Anomaly Detection in the Behavior of Computer Systems Users on the Basis of Markov Chains of Variable Order. Part II. Anomaly Detection Methods and Experimental Results. Journal of Automation and Information Sciences. 2003. Vol. 35, N 8. P. 1c–5c
Sokolov A. An adaptive detection of anomalies in user’s behavior. International Joint Conference on Neural Networks. Portland, Oregon, USA. 2003. Vol. 4. P. 2443–2447
Markman A.B., Rachkovskij D.A., Misuno I.S., Revunova E.G. Analogical reasoning techniques in intelligent counterterrorism systems. International Journal Information Theories and Applications. 2003. Vol. 10, N 2. P. 139-146

2002

Kussul E.M., Baidyk T.N. Improved Method of Handwritten Digit Recognition Tested on MNIST Database. 15-th International Conference on Vision Interface. Calgary, Canada. 2002. P. 192-197
Frolov A.A., Rachkovskij D.A., Husek D. On informational characteristics of sparsely encoded binary auto–associative memory. 9-th International Conference on Neural Information Processing ICONIP'02. Orchid Country Club, Singapore. 2002. P. 235-238
Frolov A.A., Rachkovskij D.A., Husek D. On Information Characteristics of Willshaw–Like Auto–Associative Memory. Neural Network World. 2002. Vol. 12, N 2. P. 141-157
Misuno I.S., Rachkovskij D.A., Revunova E.G., Sokolov A.M. SNC: The Software Neurocomputer With Modular Architecture. 13-th International Conference on Neurocybernetics. Rostov-on-Don, Russia. 2002. P. 109–113
Sokolov A. Detecting anomalies with markov chains with variable memory length. Artificial Intelligence. 2002. N 4. P. 74–83 (in Russian)
Goltsev А., Husek D. Some properties of the assembly neural networks. Neural Network World. 2002. Vol. 12, N 1. P. 15-32

2001

Rachkovskij D.A. Representation and Processing of Structures with Binary Sparse Distributed Codes. IEEE Transactions on Knowledge and Data Engineering. 2001. Vol. 13, N 2. P. 261-276
Rachkovskij D.A., Kussul E.M. Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning. Neural Computation. 2001. Vol. 13, N 2. P. 411-452
Kussul E.M., Baidyk T.N., Kasatkina L.M., Lukovich V.V. Rosenblatt Perceptrons for Handwritten Digit Recognition. International Joint Conference on Neural Networks. . 2001. Vol. 2. P. 1516-1521
Рєзнік O., Kуссуль Н., Соколов A. Виявлення аномальної діяльності користувачів комп’ютерних систем на основі нейромережного прогнозування. Міжнародна конференція "Передбачення та прийняття рішень в умовах невизначеності". Kиїв, Україна. 2001. P. 116-117 (in Ukrainian)
Reznik O., Kussul N., Sokolov A. Detecting anomalous user activity in computer systems using neuralnetwork prediction. Intern. Conf. "Prediction and Decision Making under Uncertainties". Kiev, Ukraine. 2001. P. 116-117 (in Ukrainian)
Goltsev A., Rachkovskij D. A recurrent neural network for partitioning of hand drawn characters into strokes of different orientations. International Journal of Neural Systems. 2001. Vol. 11, N 5. P. 463-475
Baidyk T.N. Neural networks and problems of Artificial Intelligence. Kiev: Naukova Dumka, 2001. 263 p. (in Russian)
Kussul E., Kasatkina L., Baidyk T., Lukovych V. Neural technologies for handwritten texts recognition. Control Systems and Computers. 2001. N 2. P. 64-83 (in Russian)
Kasatkina L.M., Kasatkin A.M. A "Soft" Way towards Artificial Intelligence: Neural Networks. Computing in Russia. The History of Computer Devices and Information Technology revealed . Wiesbaden: VIEWEG Verlag, 2001. P. 307-316

2000

Goltsev A.D., Rachkovskij D.A., Wunsch D. A neural network for segmentation of line drawing into lines of different orientations. Intelligent Engineering Systems Through Artificial Neural Networks. . 2000. Vol. 10. P. 217-224

1999

Kussul E.M., Kasatkina L. M. Neural network system for continuos handwritten words recognition. IEEE International Joint Conference on Neural Networks (IJCNN'99). . 1999. Vol. 4. P. 2855-2858
Kussul E.M., Rachkovskij D.A., Wunsch D.C. The Random Subspace Coarse Coding Scheme for Real-Valued Vectors. IEEE International Joint Conference on Neural Networks (IJCNN'99). . 1999. Vol. 1. P. 450-455
Goltsev A.D., Rachkovskij D.A. Neural network with inhibitory connections for shape recognition. 12-th International Conference on Neurocybernetics. Rostov-on-Don, Russia. 1999. P. 196-197
Reznik A., Kussul N., Sokolov A. Identification of user activity using neural networks. Journal of Cybernetics and Computer Science. 1999. N 123. P. 70-79 (in Russian)
Kussul E., Kasatkina L., Lukovych V. Neural classifiers for handwritten character recognition. Control Systems and Computers. 1999. N 4. P. 77-86 (in Russian)

1998

Rachkovskij D.A., Kussul E.M. DataGen: a generator of datasets for evaluation of classification algorithms. Pattern Recognition Letters. 1998. Vol. 19, N 7. P. 537-544
Kussul E.M., Kasatkina L.M., Rachkovskij D.A., Wunsch D.C. Application of Random Threshold Neural Networks for Diagnostics of Micro Machine Tool Condition. IJCNN'98. . 1998. Vol. 1. P. 241-244
Goltsev А., Wunsch D.C. Inhibitory connections in the assembly network for texture segmentation. Neural Networks. 1998. Vol. 11, N 5. P. 951-962

1997

Kussul E.M., Rachkovskij D.A., Artykutsa S.Ya., Kasatkin A.M., Kasatkina L.M., Lukovich V.V., Talayev S.A. Adaptive Control System for the Fully Automated Micromechanical Factory: the Problems and Possible Neural Network Solutions. 5-th European Congress on Intelligent Techniques and Soft Computing EUFIT'97. . 1997. Vol. 1. P. 524-527
Lukovich V.V., Goltsev A.D., Rachkovskij D.A. Neural Network Classifiers for Micromechanical Equipment Diagnostics and Micromechanical Product Quality Inspection. 5-th European Congress on Intelligent Techniques and Soft Computing EUFIT'97. . 1997. Vol. 1. P. 534-536
Kartashov A., Frolov A., Goltsev А., Folk R. Quality and efficiency of retrieval for Willshaw-like autoassociative network: III Willshaw-Potts model. Network: Computation in Neural Systems. 1997. Vol. 8, N 1. P. 71-86

1996

Rachkovskij D.A. Application of stochastic assembly neural networks in the problem of interesting text selection. Neural network systems for information processing. 1996. P. 52-64 (in Russian)
Kasatkin A.M., Kasatkina L.M. Software tool for neural network knowledge base creation. Neural network systems for information processing. 1996. P. 42-52 (in Russian)
Goltsev А. An assembly neural network for texture segmentation. Neural Networks. 1996. Vol. 9, N 4. P. 643-653

1995

Kussul E.M., Baidyk T.N., Rachkovskij D.A. Application of Neural Network Classifiers for the OCR of Printed Texts. Second International Symposium on Neuroinformatics and Neurocomputers. . 1995. P. 1-6
Kasatkin A.M., Kasatkina L.M. Two knowledge-based neural network systems. Neurocomputing. Issues of theory and practice. 1995. P. 17-24 (in Russian)
Frolov A.A., Kartashov A., Goltsev А., Folk R. Quality and efficiency of retrieval for Willshaw-like autoassociative network: I Correction. Network: Computation in Neural Systems. 1995. Vol. 6 P. 513-534
Frolov A.A., Kartashov A., Goltsev А., Folk R. Quality and efficiency of retrieval for Willshaw-like autoassociative network: II Recognition. Network: Computation in Neural Systems. 1995. Vol. 6 P. 534-549

1994

Lukovich V.V., Rachkovskij D.A. Investigation of characteristics of neural network classifier with random thresholds. Neural network technologies and neurocomputers. 1994. P. 27-36 (in Russian)
Kussul E.M., Baidyk T.N., Lukovich V.V., Rachkovskij D.A. Neural classifiers with distributed encoding of input information. Neurocomputer. 1994. N 3-4. P. 13-24 (in Russian)
Kussul E.M., Baidyk T.N., Lukovich V.V., Rachkovskij D.A. Adaptive High Performance Classifier Based on Random Threshold Neurons. Twelfth European Meeting on Cybernetics and Systems Research (EMCSR-94). . 1994. Vol. 2. P. 1687-1695
Kasatkin A.M., Kasatkina L.M. An approach to construction of knowledge-based neural network systems. Neurocomputer. 1994. N 3-4. P. 5-13 (in Russian)

1993

Kussul E.M., Baidyk T.N. On information encoding in associative-projective neural networks. Kiev: V. M. Glushkov Institute of Cybernetics, 1993. 18 p. (in Russian)
Kussul E.M., Baidyk T.N. A modular structure of associative-projective neural networks. Kiev: V. M. Glushkov Institute of Cybernetics, 1993. 16 p. (in Russian)
Kussul E.M., Baidyk T.N., Lukovich V.V., Rachkovskij D.A. Adaptive neural network classifier with multifloat input coding. 6-th Intern. Conf. "Neural Networks and their Industrial and Cognitive Applications", Neuro-Nimes'93. . 1993. P. 209-216

1992

Kussul E.M. Associative neuron-like structures. Kiev: Naukova Dumka, 1992. 144 p. (in Russian)
Baidyk T.N., Kussul E.M. Structure of neural assembly. The RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers. . 1992. P. 423-434
Kussul E.M., Baidyk T.N., Rachkovsky D.A. Neural network for recognition of small images. First all-Ukrainian conference "UkrOBRAZ'92". . 1992. P. 151-153
Fedoseyeva T.V. The problem of training a neural network to recognize word stems. Neuron-like networks and neurocomputers. 1992. P. 48-54 (in Russian)
Goltsev А. Brightness image segmentation by a neuron-like network. Neurocomputing. 1992. Vol. 4, N 1. P. 9-15

1991

Amosov N.M., Baidyk T.N., Goltsev A.D., Kasatkin A.M., Kasatkina L.M., Kussul E.M., Rachkovskij D.A. Neurocomputers and intelligent robots. Kiev: Naukova Dumka, 1991. 272 p. (in Russian)
Kussul E.M., Rachkovskij D.A. Multilevel assembly neural architecture and processing of sequences. Holden A.V., Kryukov V.I. Neurocomputers and Attention: Vol. II. Connectionism and neurocomputers. Manchester and New York: Manchester University Press, 1991. P. 577-590
Kussul E.M., Rachkovskij D.A., Baidyk T.N. Associative-Projective Neural Networks: Architecture, Implementation, Applications. 4-th Intern. Conf. "Neural Networks and their Applications", Neuro-Nimes'91. . 1991. P. 463-476
Kussul E.M., Рачковский Д.А., Baidyk T.N. On image texture recognition by associative-projective neurocomputer. Intern. Conf. ANNIE'91 "Intelligent engineering systems through artificial neural networks". . 1991. P. 453-458
Rachkovskij D.A., Fedoseyeva T.V. Hardware and software neurocomputer system for recognition of acoustical signals. Neuron-like networks and neurocomputers. 1991. P. 62-68 (in Russian)
Artykutsa S.Ya., Baidyk T.N., Kussul E.M., Rachkovskij D.A. Texture recognition with neurocomputer. Kiev: V. M. Glushkov Institute of Cybernetics, 1991. 20 p. (in Russian)
Kasatkin A.M., Kasatkina L.M. A neural network expert system. Neuron-like networks and neurocomputers. 1991. P. 18-24 (in Russian)
Amosov N.M., Kasatkin A.M., Kasatkina L.M. Neuron-like networks, attention, artificial intelligence. Holden A.V., Kryukov V.I. Neurocomputers and Attention: Vol. II. Connectionism and neurocomputers. Manchester and New York: Manchester University Press, 1991. P. 433-444
Goltsev А.D. The neuron-like network for brightness picture segmentation. Neural Network World. 1991. N 5. P. 303-307
Goltsev А.D. Structured neural networks with learning for texture segmentation in images. Cybernetics and Systems Analysis. 1991. N 6. P. 927-936

1990

Kussul E. M., Baidyk T. N. Design of a neural-like network architecture for recognition of object shapes in images. Soviet Journal of Automation and Information Sciences. 1990. Vol. 23, N 5. P. 53-58
Baidyk T.N., Kussul E.M., Rachkovskij D.A. Numerical-analytical method for neural network investigation. The International Symposium on Neural Networks and Neural Computing - NEURONET'90. Prague, Czechoslovakia. 1990. P. 217-219
Rachkovskij D.A., Fedoseyeva T.V. On audio signals recognition by multilevel neural network. The International Symposium on Neural Networks and Neural Computing - NEURONET'90. Prague, Czechoslovakia. 1990. P. 281-283
Rachkovskij D.A. On numerical-analytical investigation of neural network characteristics. Neuron-like networks and neurocomputers. 1990. P. 13-23 (in Russian)
Rachkovskij D.A. Development and investigation of multilevel assembly neural networks. PhD thesis for acquiring scientific degree of Candidate of Technical Science on specialty 05.13.09 - Biological Cybernetics. Kiev: V. M. Glushkov Institute of Cybernetics. 1990. 213 p. (in Russian)
Kasatkin A.M., Kasatkina L.M. Knowledge-based neuron-like networks and systems. Knowledge, Dialogue, Decision. Kiev: Systems Engineering, 1990. P. 92-117
Kasatkin A.M., Kasatkina L.M. Semantic synthesis of neural network knowledge bases. The International Symposium on Neural Networks and Neural Computing - NEURONET'90. Prague, Czechoslovakia. 1990. P. 217-221

1989

Kasatkin A.M. Robots and Artificial Intelligence. Kiev: The Higher School, 1989. 55 p. (in Russian)

1988

Amosov N.M., Goltsev А.D., Kussul E.M. Functional organization of informational processes in the brain and its relations with structures of neural networks. Cybernetics. 1988. N 5. P. 113-119 (in Russian)

1985

Alekseev V.L. Imagery as a form of knowledge representation about real environment. Biological and Medical Cybernetics. 1985. P. 54-59 (in Russian)
Goltsev А. Tactics of transport robot for maneuvering on the base of the range finger information. Automation. 1985. N 4. P. 40-43 (in Russian)
Goltsev А. Algorithm of tactical level of movement control of autonomous transport robot and its realization by means of a neural network. Control Systems and Machines. 1985. N 5. P. 37-42 (in Russian)

1982

Amosov N.M., Belov V.M., Olshanikov V.S. Experience of heuristic personality model research. Kibernetika. 1982. N 5. P. 80-87 (in Russian)
Goltsev А., Kussul E. Movement control of transport robot by means of neural network. Automation and Telemechanics. 1982. N 5. P. 44-51 (in Russian)

1979

Amosov N.M. Algorithms of the Mind. Kiev: Naukova Dumka, 1979. 223 p. (in Russian)
Kasatkin А.M. On Knowledge Representation in Artificial Intellect Systems of Robots. Kibernetika. 1979. N 2. P. 57-65 (in Russian)

1977

Kasatkin A.M. Knowledge systems requirements in Artificial Intelligence. Heuristic models in psychology and sociology. 1977. P. 33-47 (in Russian)
Kasatkina L.M. Elements of understanding for Artificial Intelligence systems. Heuristic models in psychology and sociology. 1977. P. 48-57 (in Russian)

1976

Goltsev A.D. Investigation of principles and mechanisms of assembly organization in neural networks. PhD thesis for acquiring scientific degree of Candidate of Technical Science on specialty 05.13.09 - Biological Cybernetics. Kiev: Institute of Cybernetics, Ukrainian SSR Academy of Sciences. 1976. 155 p. (in Russian)

1975

Amosov N.M., Kasatkin A.M., Kasatkina L.M. Active semantic networks in robots with an autonomous control. Intern. Joint Conference on Artificial intelligence. . 1975. Vol. 9. P. 11-20 (in Russian. English version exists)
Amosov N.M., Kussul E.M., Fomenko V.D. Transport robot with a neural network control system. The Fourth Intern. Joint Conference on Artificial intelligence. Tbilisi, USSR. 1975. Vol. 9. P. 1-10 (in Russian,English version exists)
Kasatkin A.M., Kasatkina L.M. Self-model and its functions in knowledge system of robot. Heuristic models in psychology and sociology. 1975. P. 3-17 (in Russian)
Kasatkin A.M., Kasatkina L.M. Knowledge representation system for integral robot. Theory Issues for Automata, Robots and Computers. 1975. P. 69-77 (in Russian)

1974

Amosov N.M., Kasatkin A.M., Talaev S.A., Kasatkina L.M. Some results of development and investigation of reasonable behaviour models. Journal of the Inst. of Comp. Sciences. 1974. Vol. 5, N 2. P. 9-14

1973

Amosov N.M., Kasatkin A.M., Kasatkina L.M., Kussul E.M., Talayev S.A., Fomenko V.D. Intelligent behaviour systems based on semantic networks. Kybernetes. 1973. Vol. 2, N 4. P. 211-216
Amosov N.M., Kasatkin A.M., Kasatkina L.M., Talayev S.A. Automata and the mindfull behaviour. Kiev: Naukova Dumka, 1973. 374 p. (in Russian)

1972

Amosov N.M., Basilevsky E.B., Kasatkin A.M., Kasatkina L.M., Luk A.N., Kussul E.M., Talayev S.A. M-network as possible basis for construction of heuristic models. Cybernetica. 1972. N 3. P. 169-186

1971

Amosov N.M., Kasatkin A.M., Kasatkina L.M. About construction of personality model based on M-automaton. Clinical-and-psychological research of personality. 1971. P. 15-17 (in Russian)

1969

Amosov N.M., Kussul E.M. Possible structure of system for reinforcement and inhibition. Problems of heuristic modelling. 1969. N 1. P. 3-11 (in Russian)

1967

Amosov N.M. Modeling of Thinking and the Mind. New York: Spartan Books, 1967. 192 p.

1966

Kasatkin A.M., Kasatkina L.M. Modeling of goal-directed behavior of living organisms. Automation. 1966. N 5. P. 51-56 (in Ukrainian)

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