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  1. MAPPING OPINION CUMULATION: TOPIC MODELING-BASED DYNAMIC SUMMARIZATION OF USER DISCUSSIONS ON SOCIAL NETWORKS

    Блеканов, И. С., Тарасов, Н. А. & Бодрунова, С. С., 2023, ПЯТНАДЦАТЫЕ МЕЖДУНАРОДНЫЕ НАУЧНЫЕ ЧТЕНИЯ В МОСКВЕ "СМИ И МАССОВЫЕ КОММУНИКАЦИИ–2023" ЭПОХА НЕОПРЕДЕЛЕННОСТИ В СОВРЕМЕННЫХ СМИ И ЖУРНАЛИСТИКЕ: ВЫЗОВЫ БОЛЬШИХ ДАННЫХ И ИСКУССТВЕННОГО ИНТЕЛЛЕКТА. Издательство Московского университета, p. 25-26

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

  2. Methods of User Opinion Data Crawling in Web 2.0 Social Network Discussions

    Непиющих, Д. В., Блеканов, И. С., Тарасов, Н. А. & Максимов, А. Ю., 2024, Social Computing and Social Media. HCII 2024.. Springer Nature, p. 72-81 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14703 LNCS).

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

  3. Microgrid control for renewable energy sources based on deep reinforcement learning and numerical optimization approaches*

    Zhadan, A. U., Wu, H., Kudin, P. S., Zhang, Y. & Petrosian, O. L., 1 Nov 2023, In: Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya. 19, 3, p. 391-402 12 p.

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

  4. New application of multiple linear regression method - A case in China air quality

    He, Y., Qi, D. & Bure, V. M., Dec 2022, In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ. 18, 4, p. 516-526

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

  5. Optimal Power Allocation Based on Metaheuristic Algorithms in Wireless Network

    Sun, Q., Wu, H. & Petrosian, O., 2022, In: Mathematics. 10, 18, 3336.

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

  6. Resource allocation in heterogeneous network with node and edge enhanced graph attention network

    Сунь, Ц., Хе, Я. & Петросян, О. Л., 1 Mar 2024, In: Applied Intelligence. 54, 6, p. 4865–4877 13 p.

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

  7. Resource Allocation in Heterogeneous Network with Supervised GNNs

    Sun, Q., Zhang, Y., Wu, H. & Petrosian, O., 8 Jul 2023, In: Lecture Notes in Computer Science. 13969, p. 350-361 12 p.

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

  8. Speech platformized: Language similarities and differences for twitter, reddit and telegram as assessed by the deep-learning semantic neural encodings method

    Бодрунова, С. С., Блеканов, И. С., Тарасов, Н. А. & Непиющих, Д. В., Nov 2022, DIGITAL PLATFORMS AND THE FUTURE OF LEGACY MEDIA : Четырнадцатые международные научные чтения в Москве «СМИ и массовые коммуникации–2022». Вартанова, Е. Л. (ed.). Издательство Московского университета, p. 24

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

  9. Topic Models with Neural Variational Inference for Discussion Analysis in Social Networks

    Блеканов, И. С., Тарасов, Н. А. & Максимов, А. Ю., 2022, Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov. Springer Nature, p. 769-776 (Lecture Notes in Control and Information Sciences).

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

  10. Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages

    Blekanov, I. S., Tarasov, N. & Bodrunova, S. S., Mar 2022, In: Future Internet. 14, 3, 25 p., 69.

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

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