• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта
Владение языками
английский
немецкий
португальский
Контакты
Телефон:
+7 (495) 621 13 42
+7 (495)772 95 90*026068
Электронная почта:
Адрес: г.Москва, ул.Шаболовка 26, корпус 5, комн.5422
Расписание
Резюме (PDF, 170 Кб)
SPIN РИНЦ: 8884-2926
ORCID: 0000-0003-4932-3348
ResearcherID: K-8315-2015
Scopus AuthorID: 23102270900
Google Scholar
Присутственные часы
суббота 12.10-15.00 ауд. 213 (Кирпичная)- по предварительному согласованию
Руководитель
Алескеров Ф. Т.
Версия для печати

 

Нашли опечатку?
Выделите её, нажмите Ctrl+Enter и отправьте нам уведомление. Спасибо за участие!
Сервис предназначен только для отправки сообщений об орфографических и пунктуационных ошибках.

Броневич Андрей Георгиевич

  • Начал работать в НИУ ВШЭ в 2010 году.
  • Научно-педагогический стаж: 6 лет.

Образование, учёные степени

  • 2005

    Доктор физико-математических наук: Таганрогский государственный радиотехнический университет, специальность 01.00.00 «Физико-математические науки»

  • 1994

    Кандидат наук: специальность 05.00.00 «Технические науки»

  • 1988

    Специалитет: Таганрогский радиотехнический институт, специальность «электронные вычислительные машины»

Учебные курсы (2018/2019 уч. год)

Учебные курсы (2017/2018 уч. год)

Учебные курсы (2016/2017 уч. год)

Учебные курсы (2015/2016 уч. год)

Учебные курсы (2014/2015 уч. год)

Учебные курсы (2013/2014 уч. год)

Учебные курсы (2012/2013 уч. год)

Учебные курсы (2011/2012 уч. год)

Дискретная математика (Бакалавриат; где читается: Факультет бизнес-информатики; 2-й курс, 2-4 модуль)Рус

Публикации56


Публикации

2011

  • A.G. Bronevich, A.V. Goncharov. Classification of sign-based image representations based on distance functions. Pattern Recognition and Image Analysis, 2011, 10 pp. (in press).

  • A.G. Bronevich, A.V. Goncharov. An axiomatic approach to measuring of information of sign-based image representations. Journal of Computer and Systems Sciences International, Vol. 50, No. 1, 2011, pp. 51-66.
  • A.G. Bronevich, A. S. Melnichenko. Automatic image annotation based on low-level features and classification of the statistical classes. In Kuznetsov, S.O.; Ślęzak, D.; Hepting, D.H.; Mirkin, B.G. (Eds.) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Lecture Notes in Computer Science, Vol. 6743, Springer, 2011, pp. 314-321.
  • A.G. Bronevich, A.N. Karkishchenko, V.I. Umansky. Recovering profiles of roadbed based on statistical scanning data. Proc. 14-th Conference on Applied Stochastic Models and Data Analysis (ASMDA 2011), Rome, Italy, 2011, pp. 194-201.

2010

  • A.G. Bronevich, G.J. Klir. Measures of uncertainty for imprecise probabilities: An axiomatic approach. International Journal of Approximate Reasoning, vol. 51, 2010, pp. 365-390.
  • A.G. Bronevich, R. Mesiar. Invariant continuous aggregation functions. International Journal of General Systems, vol. 39, 2010, pp. 177-188.
  •  

2009

  • A.G. Bronevich, T. Augustin. Approximation of coherent lower probabilities by 2-monotone measures. Proc. of the 6th International Symposium on Imprecise Probability: Theories and Their Applications, Durham, United Kingdom, 2009, 9 pp.

2008

  • G. J. Klir, A.G. Bronevich. Measures of uncertainty and uncertainty-based information in GIT: A historical overview. Proc. of NAFIPS'08, IEEE, Piscataway, NJ, 2008, 6 pp.
  • A.G. Bronevich, G. J. Klir. Axioms for total uncertainty measures on belief functions and credal sets. Proc. of NAFIPS'08, IEEE, Piscataway, NJ, 2008, 6 pp.
  • A.G. Bronevich, W. Meyer. Load balancing algorithms based on gradient methods and their analysis through algebraic graph theory. Journal of Parallel and Distributed Computing, v. 68, 2008, pp. 209-220.

2007

  • A.G. Bronevich. Necessary and sufficient consensus conditions for eventwise aggregation of lower probabilities. Fuzzy sets and systems, v. 158, 2007, pp. 881-894.
  • A.G. Bronevich, A.E. Lepskiy. Measuring uncertainty with imprecision indices. Proc. of the Fifth International Symposium on imprecise probability: Theory and Applications, Prague, Czech Republic, 2007, pp. 47-56.
  • A.G. Bronevich, A.E. Lepskiy. Linear imprecision indices on the set of lower probabilities. Proc. of the Fifth conference of the European Society for fuzzy logic and Technology, Ostrava, Czech Republic, 2007, pp. 297-304.

2006

  • A.G. Bronevich, O.S. Semeriy. An information measure-based grayscale image segmentation, Pattern Recognition and Image Analysis, 2006, Vol. 16, No. 2, pp. 201–207.
  • A.G. Bronevich. The construction of inclusion indices on the set of fuzzy measures. Proc. of International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-2006), Paris, France, 2006, pp. 1761-1767.

2005

  • Лепский А.Е., Броневич А.Г.Аксиоматический подход к задаче нахождения оптимального полигонального представления контура. Интеллектуальные системы, т. 9, вып.1-4, 2005, с.121-134. [статья] Текст статьи на другом сайте

  • Лепский А.Е., Броневич А.Г., Каркищенко А.Н.Неаддитивные меры: приложения к обработке информации с высокой неопределенностью. Вестник Южного научного центра РАН, т.1, вып. 3, 2005, с. 90-95. [статья] Текст статьи на другом сайте

  • A.G. Bronevich. On the closure of families of fuzzy measures under eventwise aggregations. Fuzzy sets and systems, v. 153, 2005, pp. 45-70.
  • A.G. Bronevich. An investigation of ideals in the set of fuzzy measures. Fuzzy sets and systems, v. 152, 2005, pp. 271-288.
  • A.G. Bronevich. Probabilistic interpretation of logical inference in possibility theory. Journal of Computer and Systems Sciences International, v. 44, 2005, pp. 217-222.
  • Bronevich A.G. On eventwise aggregation of coherent lower probabilities. Proc. of Forth International Symposium on Imprecise Probabilities and Their Applications (ISIPTA’05), Carnegie Mellon University Pittsburgh, PA, USA, July 20-23, 2005, 10 pp. http://www.sipta.org/isipta05/proceedings/008.html.

2004

  • A.G. Bronevich. Canonical sequences of fuzzy measures. In Proc. of International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-2004), Perugia-Italy, 2004, 8pp.

2003

  • A.G. Bronevich. The maximal variance of fuzzy interval. ISIPTA’03. Proceedings in informatics 18, 2003, Carleton Scientific, pp. 77-90, http://www.carleton-scientific.com/isipta/preface.html.
  • A.G. Bronevich, A.E. Lepskiy. Geometrical fuzzy measures in image processing and pattern recognition. Proc. of the 10th IFSA World Congress, 2003, Istanbul, Turkey, pp. 151-154.
  • A.G. Bronevich. The index of fuzzy measures inclusion, based on Choquet integral. In Proc. of the second International scientific seminar “Integrative models and soft computing in artificial intelligence”, Science Press of mathematical literature, Kolomna, 2003, pp. 112-118. (in Russian)
  • A.G. Bronevich, A.E. Lepskiy. An axiomatic approach to the definition of uncertainty index of fuzzy measures. In Proc. of the second International scientific seminar “Integrative models and soft computing in artificial intelligence”, Science Press of mathematical literature, Kolomna, 2003, pp. 127-130. (in Russian)

2002

  • A.G. Bronevich, A.N. Karkishchenko. Statistical classes and fuzzy set theoretical classification of possibility distributions. “Statistical Modeling, Analysis and Management of Fuzzy Data”. Heidelberg; New York: Physica-Verl., 2002, pp. 173-198.
  • A.G. Bronevich, A.N. Karkishchenko. The structure of fuzzy measure families induced by upper and lower probabilities. In Statistical Modeling, Analysis and Management of Fuzzy Data. Heidelberg; New York: Physica-Verl., 2002, pp. 160-172.
  • A.G. Bronevich, A.N. Karkishchenko. About ideals on the set of fuzzy measures. In Soft methods in probability, statistics and data analysis. Heidelberg. New York: Physica-Verl., 2002, pp. 76-83.
  • A.G. Bronevich, A.E. Lepskiy. Convolution operators of fuzzy measures. Soft methods in probability, statistics and data analysis. Heidelberg. New York: Physica-Verl., 2002, pp. 84-91.
  • A.G. Bronevich, A.N. Karkishchenko. Information measures of segmented images. Proc. of conferences IEEE AIS’02, CAD-2002, pp. 138-143.
  • A.E. Lepskiy, A.G. Bronevich, S.A. Bachilo. Extraction of control points based on an informative quantity measure. Proc. of the 4-th International Conference “Digital signal processing and its applications”, 2002, Moscow, Russia, pp. 288-290.
  • A.N. Karkishchenko, A.G. Bronevich, A.E. Lepskiy. Differences of set functions. Proc. of the IX All-Russian School and Academic conference on stochastic methods. Review of applied and industrial mathematics v. 8, 2002, pp. 117-118. (in Russian).

2001

  • A.G. Bronevich, A.N. Karkishchenko. The logical inferences in possibility theory based on the concept of upper (lower) probability. Proc. of 10-th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, 2001, 6 pp.
  • A.G. Bronevich. Conditional fuzzy measures. Probabilistic approach. Proc. of International scientific seminar “Integrative models and soft computing in artificial intelligence”, Science Press of mathematical literature, Kolomna, 2001, pp. 106-111. (in Russian)
  • A.G. Bronevich. The calculation of the maximal dispersion of a fuzzy interval. Proc. of the International Congress “Artificial Intelligence in XXI century”, Moscow, Science Press of mathematical literature, v. 2, 2001, pp. 552-559. (in Russian)
  • A.G. Bronevich. Fuzzy values and functional fuzzy distributions in the scope of probabilistic approach. . Proc. of the International Congress “Artificial Intelligence in XXI century”, Moscow, Science Press of mathematical literature, 2001, v. 2, pp. 590-598. (in Russian)
  • A.G. Bronevich, A.E. Lepskiy. An application of fuzzy measure theory to evaluating informational degree of image contour. Proc. of International scientific seminar “Integrative models and soft computing in artificial intelligence”, Science Press of mathematical literature, Kolomna, 2001, pp. 112-116. (in Russian)
  • A.G. Bronevich. About ideals on the set of fuzzy measures. Proceedings of the VIII All-Russian School and Academic conference on stochastic methods. Review of applied and industrial mathematics, v. 8, 2001, p. 748.
  • A.G. Bronevich, A.E. Lepskiy. Convolution operators of fuzzy measures. Proceedings of the VIII All-Russian School and Academic conference on stochastic methods. Review of applied and industrial mathematics, v. 8, 2001, pp. 748-749.

2000

  • A.G. Bronevich, I.I. Itenberg, A.N. Karkishchenko. The Application of a Local Method for Edge Detection. “Proc. 6th International Conference on Control, Robotics and Vision” (ICARCV 2000), Singapore, 5-8 December 2000.
  • A.G. Bronevich, A.N. Karkishchenko. Probabilistic and statistical foundations of the fuzzy measure theory. Proceedings of VII National Conference on Artificial Intelligence with international participants, Pereslavl-Zaleskiy, 24-27 September 2000, v. 2, p.485-492. (in Russian)
  • A.G. Bronevich, A.E. Lepskiy. Two approaches of seeking the minimal polygonal representation of contour. Artificial Intelligence. Journal of National Academy of Ukraine, No 3, 2000, pp. 421-427. (in Russian)
  • A.G. Bronevich, A.E. Lepskiy. Some productive approaches of recognizing 3D images from external contour. Proceedings of VII National Conference on Artificial Intelligence with international participants, Pereslavl-Zaleskiy, 24-27 September 2000, v. 2, pp. 557-565. (in Russian)
  • A.G. Bronevich, A.N. Karkishchenko. About one class of fuzzy measures generated by probability estimations. Proceedings of the VII All-Russian School and Academic conference on stochastic methods. Review of applied and industrial mathematics, v. 7, 2000, pp. 479-480. (in Russian)
  • A.G. Bronevich. The generalizations of Dempster-Shafer theory in the scope of fuzzy measure theory. Proceedings of the VII All-Russian School and Academic conference on stochastic methods. Review of applied and industrial mathematics. V. 7. 2000. pp. 480-481. (in Russian)
  • A.G. Bronevich, A.E. Lepskiy. The axiomatic approach to defining polygonal representation of an image contour Proceedings of the First All-Russian School and Academic conference on applied and industrial mathematics. Review of applied and industrial mathematics, v. 7, 2000, pp. 322-323. (in Russian)
  • A.G. Bronevich, A.N. Karkishchenko. Fuzzy measure theory and generalizations of Bayesian scheme of statistical data classification. In journal “News of Artificial Intelligence”, No 3, Moscow, 2000, p. 122-128.

Расписание занятий на сегодня

Полное расписание

Состоялось очередное заседание общемосковского научного семинара "МАТЕМАТИЧЕСКИЕ МЕТОДЫ АНАЛИЗА РЕШЕНИЙ В ЭКОНОМИКЕ, БИЗНЕСЕ И ПОЛИТИКЕ"

Тема доклада: Меры неопределенности в теории неточных вероятностей
Докладчик: А.Г. Броневич (НИУ ВШЭ)