Tolcheev Vladimir O.

date of birth: October 17, 1966.


Activities in the Department
Academic title: associate Professor
degree: doctor of technical Sciences

the courses:
• the lecturer of the course "Identification and diagnostics of systems"
• the laboratory course "Identification and diagnostics of systems"
• the lecturer of the course "abs imitation PE. modeling of objects and systems. AVT-tion"
• the lecturer of the course "Statistical methods in engineering studies"

Publications of lecturer:
• Borodkin A. A., Tolcheev V. O., chasov-Yar, A. V. “The dependence of classification accuracy on the structure of the sample" // Modern technologies in problems of control, automation and information processing: proceedings of the XVI International scientific-technical seminar. September 2007, Alushta, Tula: Izd-vo Tulgu — 2007. — p. 244 245
• Borodkin A. A. Tolcheev V. O. “On evaluation of the accuracy and time characteristics of the methods of classification of bibliographical text documents» // Scientific session MEPhI-2008. Collection of scientific works. T. 11. Technology development of software systems. Information technology MEPhI — 2008. — p. 152 153
• Tolcheev V. O. “problem Analysis and development of procedures for identifying near-duplicate of scientific articles through bibliographic descriptions" // Informational technologies. No. 2 — 2011. — p. 17-21
• Tolcheev V. O., Orlov A. I. “On the use of nonparametric statistical criteria to assess the accuracy of classification methods (the generic article)" // Zavodskaya laboratoriya. No. 3 — 2011. — p. 58-66
• Borodkin A. A., Tolcheev V. O. «Complex reduction procedure to improve performance of non-parametric methods of classification of text documents» // Zavodskaya laboratoriya. No. 11 — 2011. — p. 64-69
• Derbenev, N. In. Tolcheev V. O. «Identifying fuzzy duplicates in the scientometric analysis» // Informational technologies. No. 12 — 2011. — p. 24-29
• Derbenev, N. In. Tolcheev V. O. “to Develop a method of detecting fuzzy duplicates in bibliographic descriptions" // 9th Intern. Conf. “Intelligent information processing IOI-2012”, Montenegro, Budva. 16-22 September — 2012. — p. 613-616
• Mokhov A. S., Tolcheev V. O. «Development of methods for high-precision bilingual text classification, bibliographic documents» // Informatsionnye tekhnologii, No. 5 (213), Moscow 2014 — 2014. — p. p. 8-13
• Mokhov A. S., Tolcheev V. O. «Methods of bilingual text documents classification increasing precision.» // // 10th International Conference “Intelligent Information Processing" IIP-2014, Crete, Greece — 2014. — p. pp. 210-211.
• Mokhov A. S., Tolcheev V. O. «Development of new modifications of the profile methods for the classification and construction of ensembles of decision rules" // Zavodskaya laboratoriya. Diagnostics of materials, Moscow: №3 (81) — 2015. — C. with 70-75
• Mokhov A. S.,Tolcheev V. O. «Ways of accounting for the structure of scientific documents in the processing and analysis of textual information" // Informational technologies, Moscow, No. 5 2016. — 2016. — p. p. 332-339
• Mokhov A. S. Tolcheev V. O. “Analysis of publication activity of the leading countries in the field of quantum technologies” // Zavodskaya laboratoriya. Diagnostics of materials, Moscow: №7 (84) — 2018. — S. 67-76.
• Yablokov I. A., Mokhov A. S., Tolcheev V. O. “the Research methods to identify informative terms for the solution of the problem of classification of addresses of employees of the Bank” // Information systems and technology XXIV conference, G. N. Novgorod — 2018. — p. SS. 1027-1032

• data mining Methods (Data and Text Mining, Knowledge Discovery), including search methods, visualization, classification (clustering) of multidimensional data and the identification of informative features
• Develop programs – “intelligent” agents for finding information on the Internet; information Web-portals; algorithms to process unstructured (textual) information
• Structural and parametric identification of dynamical systems. The construction of optimal signals to determine the parameters of linear features