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Regular version of the site

Methods and Algorithms for Networks Analysis

Priority areas of development: IT and mathematics
2019
Head: Kalyagin, Valery A., Pardalos, Panos M.
The project has been carried out as part of the HSE Program of Fundamental Studies.

Publications:


Sokolova A., Savchenko A. Fast Nearest-Neighbor Classifier based on Sequential Analysis of Principal Components, in: Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Lecture Notes in Computer Science, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Y. Khachay, V. Kuskova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 11832. Cham : Springer, 2019. doi Ch. 7. P. 73-80. doi
Savchenko V. V., Savchenko A. Method for Measuring the Indicator of Acoustic Quality of Audio Recordings Prepared for Registration and Processing in the Unified Biometric System / Пер. с рус. // Measurement Techniques. 2020. Vol. 62. No. 12. P. 1071-1078. doi
Mikhail V. Batsyn, Ekaterina K. Batsyna, Ilya S. Bychkov. NP-completeness of cell formation problem with grouping efficacy objective // International Journal of Production Research. 2020. No. DOI: 10.1080/00207543.2019.1668072. P. 1-14. doi
Savchenko A. Probabilistic Neural Network With Complex Exponential Activation Functions in Image Recognition // IEEE Transactions on Neural Networks and Learning Systems. 2020. Vol. 31. No. 2. P. 651-660. doi
Chirkov A. Y., Gribanov D., Malyshev D., Pardalos P. M., Veselov S. I., Zolotykh N. On the complexity of quasiconvex integer minimization problem // Journal of Global Optimization. 2019. Vol. 73. No. 4. P. 761-788. doi
Koldanov P. Statistics of individual tests for market graph identification in market network // Advances in Computer Science Research. 2019. P. 50-55. doi
Sergey S. Ketkov, Oleg A. Prokopyev. On Greedy and Strategic Evaders in Sequential Interdiction Settings with Incomplete Information // Omega. 2020. Vol. 92. P. 102161. doi
Granata I., Guarracino M. R., Kalyagin V. A., Maddalena L., Manipur I., Pardalos P. M. Supervised Classification of Metabolic Networks, in: Proceedings 2018 IEEE International Conference on Bioinformatics and Biomedicine. Madrid : IEEE, 2018. P. 2688-2693. doi
Granata I., Guarracino M. R., Kalyagin V. A., Maddalena L., Manipur I., Pardalos P. M. Model simplification for supervised classification of metabolic networks // Annals of Mathematics and Artificial Intelligence. 2019. P. 1-14. doi
Kalyagin V. A., Slashchinin S. Impact of error in parameter estimations on large scale portfolio optimization // Springer Optimization and Its Applications. 2019. Vol. 145. P. 151-184. doi
Gribanov D., Malyshev D. Integer Conic Function Minimization Based on the Comparison Oracle, in: Mathematical Optimization Theory and Operations Research, 18th International Conference, MOTOR 2019 Ekaterinburg, Russia, July 8–12, 2019 / Ed. by М. Ю. Хачай, Ю. А. Кочетов, P. M. Pardalos. Vol. 11548. Springer, 2019. P. 218-231. doi
Savchenko L.V., Savchenko A.V. Fuzzy Phonetic Encoding of Speech Signals in Voice Processing Systems / Пер. с рус. // Journal of Communications Technology and Electronics. 2019. Vol. 64. No. 3. P. 238-244. doi
Grachev A., Ignatov D. I., Savchenko A. Compression of recurrent neural networks for efficient language modeling // Applied Soft Computing Journal. 2019. Vol. 79. P. 354-362. doi
Savchenko A., Savchenko V. V. A Method for Measuring the Pitch Frequency of Speech Signals for the Systems of Acoustic Speech Analysis / Пер. с рус. // Measurement Techniques. 2019. Vol. 62. No. 3. P. 282-288. doi
Malyshev D., Mokeev D. B. Konig graphs with respect to the 4-path and Its spanning supergraphs / Пер. с рус. // Journal of Applied and Industrial Mathematics. 2019. Vol. 13. No. 1. P. 85-92. doi
Anton Kocheturov, Pardalos P. M., Karakitsiou A. Massive datasets and machine learning for computational biomedicine: trends and challenges // Annals of Operations Research. 2019. Vol. 276. No. 1-2. P. 5-34. doi
Zare M. H., Borrero J., Zeng B., Prokopyev O. A Note on Linearized Reformulations for a Class of Bilevel Linear Integer Problems // Annals of Operations Research. 2019. Vol. 272. No. 1-2. P. 99-117. doi
Pardalos P. M., Souravlias D., Kotsireas I. S., Parsopoulos K. E. Parallel algorithm portfolios with performance forecasting // Optimization Methods and Software. 2019. Vol. 34. No. 6. P. 1231-1250. doi