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  1. 2019

  2. Применение методов машинного обучения на основе решающих деревьев для компенсации нелинейных искажений в волоконно-оптических линиях связи

    Ракитский, А. А. & Редюк, А. А., 2019, In: ФОТОН-ЭКСПРЕСС. 6 (158), p. 116-117 2 p.

    Research output: Contribution to journal › Article › peer-review

  3. 2018

  4. Theoretical Approach to Performance Evaluation of Supercomputers

    Ryabko, B. & Rakitskiy, A., Apr 2018, In: Journal of Circuits, Systems and Computers. 27, 4, 13 p., 1850062.

    Research output: Contribution to journal › Article › peer-review

  5. 2017

  6. An Analytic Method for Estimating the Computation Capacity of Computing Devices

    Ryabko, B. & Rakitskiy, A., 1 May 2017, In: Journal of Circuits, Systems and Computers. 26, 5, 13 p., 1750086.

    Research output: Contribution to journal › Article › peer-review

  7. 2016

  8. An information-theoretic approach to performance evaluation of supercomputers

    Rakitskiy, A. & Ryabko, B., 9 Dec 2016, 2016 15th International Symposium on Problems of Redundancy in Information and Control Systems, REDUNDANCY 2016. Institute of Electrical and Electronics Engineers Inc., p. 125-128 4 p. 7779345. (2016 15th International Symposium on Problems of Redundancy in Information and Control Systems, REDUNDANCY 2016).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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