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  1. Working paper › Research

  2. High-quality Speech Synthesis Using Super-resolution Mel-Spectrogram

    Pavlovskiy, E., Sheng, L. & Huang, D-Y., 3 Dec 2019, 6 p.

    Research output: Working paper

  3. Superposition as Data Augmentation using LSTM and HMM in Small Training Sets

    Павловский, Е. Н. & Сивасвами, А., 24 Oct 2019, Daejeon, South Korea: Cornell University, 5 p.

    Research output: Working paper

  4. Other contribution › Research

  5. Reducing over-smoothness in speech synthesis using Generative Adversarial Networks

    Pavlovskiy, E. N. & Шэн, Л., 2018

    Research output: Other contribution › Research

  6. Abstract › Research › Peer-reviewed

  7. The Siberian multimodal brain tumor image segmentation dataset

    Голушко, С. К., Амелина, Е. В., Groza, V., Амелин, М. Е., Толстокулаков, Н. Ю., Тучинов, Б. Н. & Pavlovskiy, E., 2020.

    Research output: Contribution to conference › Abstract › peer-review

  8. Conference contribution › Research › Peer-reviewed

  9. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

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

  10. 3D Visualization of Brain Tumors via Artificial Intelligence

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Tolstokulakov, N., Amelin, M., Golushko, S. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 280-283 4 p. 9496040. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

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

  11. Applying Variational Circuits in Deep Learning Architectures for Improving Discriminative Power of Speaker Embeddings

    Blankson, R. & Pavlovskiy, E., 2022, Proceedings of International Conference on Data Science and Applications, ICDSA 2021. Saraswat, M., Roy, S., Chowdhury, C. & Gandomi, A. H. (eds.). Springer Nature Singapore ed. Singapore: Springer Science and Business Media Deutschland GmbH, Vol. 287. p. 483-492 10 p. (Lecture Notes in Networks and Systems; vol. 287).

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

  12. Artificial Intelligence for Imaging Diagnostics in Neurosurgery

    Letyagin, A. Y., Degtyareva, L. O., Golushko, S. K., Rzaev, J. A., Amelin, M. E., Pavlovsky, E. N., Tuchinov, B. N., Amelina, E. V., Moisak, G. I. & Bulgakova, E. G., 1 Oct 2019, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 336-337 2 p. 8958201. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

  13. Binary Brain Tumor Classification With Semantic Features Using Convolutional Neural Network

    Лыу, М. Ш. К. & Pavlovskiy, E., 25 Oct 2022, Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022: 2022 USBEREIT. Institute of Electrical and Electronics Engineers Inc., p. 44-47 4 p. (Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022).

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

  14. Brain Tumor Classification based on MR Images using GAN as a Pre-Trained Model

    Yerukalareddy, D. R. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 380-384 5 p. 9496036. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

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

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