Automated Classification of Potentially Insulting Speech Acts on Social Network Sites

Komalova, L., Glazkova, A., Morozov, D., Epifanov, R., Motovskikh, L. & Mayorova, E., 2022, Digital Transformation and Global Society - 6th International Conference, DTGS 2021, Revised Selected Papers. Alexandrov, D. A., Chugunov, A. V., Kabanov, Y., Koltsova, O., Musabirov, I., Pashakhin, S., Boukhanovsky, A. V. & Chugunov, A. V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 365-374 10 p. (Communications in Computer and Information Science; vol. 1503 CCIS).

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

Automatic Retinogeniculate Visual Pathway Identification Based on Data-driven Fiber Clustering and Anatomical Constrains

Zeng, Q., Zhang, J., Chen, S., Xie, L., Huang, J., He, J., Pan, Y., Yu, J., Hu, Q., Amelina, E., Amelin, M. & Feng, Y., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers (IEEE), p. 8015-8020 6 p.

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

Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing

Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., Mar 2021, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 148-157 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12659 LNCS).

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

Brain Tumor Segmentation with Self-supervised Enhance Region Post-processing

Pnev, S., Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 267-275 9 p. 24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).

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

Deep Multimodal Fusion Network for the Retinogeniculate Visual Pathway Segmentation

Xie, L., Yang, L., Zeng, Q., He, J., Huang, J., Feng, Y., Amelina, E. & Amelin, M., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers (IEEE), p. 7946-7950 5 p.

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

Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods

Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Amelin, M., Golushko, S. & Pavlovskiy, E., 2023, 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 112-117 6 p. (2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings).

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

Implementation of Convolutional Neural Network to Enhance Turbulence Models for Channel Flows

Razizadeh, O. & Yakovenko, S. N., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 1-4 4 p. 9303178. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

Machine learning methods for development of data-driven turbulence models

Yakovenko, S. N. & Razizadeh, O., 26 Oct 2020, High-Energy Processes in Condensed Matter, HEPCM 2020: Proceedings of the XXVII Conference on High-Energy Processes in Condensed Matter, Dedicated to the 90th Anniversary of the Birth of RI Soloukhin. Fomin, V. M. (ed.). American Institute of Physics Inc., 5 p. 030065. (AIP Conference Proceedings; vol. 2288).

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

MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection

Kotyushev, M., Glazkova, A. & Morozov, D., 2021, SemEval 2021 - 15th International Workshop on Semantic Evaluation, Proceedings of the Workshop. Palmer, A., Schneider, N., Schluter, N., Emerson, G., Herbelot, A. & Zhu, X. (eds.). Association for Computational Linguistics (ACL), p. 913-918 6 p. (SemEval 2021 - 15th International Workshop on Semantic Evaluation, Proceedings of the Workshop).

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

Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks

Pnev, S., Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).

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