You can click on the title of any of the articles to access the corresponding site.    Каширин И.Ю.

 

I.Yu.Kashirin. Formation of LLM-oriented knowledge resources  based on generation of augmented information

/ Vestnik of RSREU. 2025. No 94. P.85-97. DOI: 10.21667/1995-4565-2025-94-85-97

I.Yu.Kashirin.Embeddings of hierarchical numbers to enrich transformational language models external ontological knowledge/ Vestnik of RSREU. 2025. No 93. P.72-82. DOI: 10.21667/1995-4565-2025-91-36-49. DOI: 10.21667/1995-4565-2025-93-72-82 

I.Yu.Kashirin. Extracting facts from natural language texts by method of unification of semantic pattern. /Vestnik of RSREU. (2025) № 91. P.36-49 (rus, en). DOI: 10.21667/1995-4565-2025-91-36-49

I.Yu.Kashirin. Tokenization of Political Texts in BERT Models Using ICF+ Ontologies./INFORMATION TECHNOLOGY, Volume 30, No. 12, 2024. pp. 622-632. DOI: 10.17587/it.30.622-632  (rus, en)

 I.Yu.Kashirin Semantic Data Fragmentation for Identification of Covariant Conceptual Drift in Machine Learning Models, International Journal of Open Information Technologies, ISSN: 2307-8162 vol. 12, no. 7, 2024. pp.10-15. (en)

I.Yu.Kashirin.Neural networks of new multipolar world:  classification of electronic news /Vestnik of RSREU. (2024) № 87. P.28-40 (rus, en)

I.Yu.Kashirin. Knowledge Models for correcting data drift in Data Mining/Vestnik of RSREU. (2023) № 84. P.108-118/ (rus)

I.Yu.Kashirin. Solving the Problem of Concept Drift in Data Minig Technology using Knowledge Models/ VI International Scientific and Technical Forum STNO-2023. Collection of works. Volume 4, pp.43-48. (rus)

I.Yu.Kashirin. Identifying news credibility using machine learning models/ Vestnikof RSREU. 2023. P.36-47. (rus)

A.A. Anastasiev, M.S. Astashkin, P.A. Agafonov, I.Y. Kashirin Determining the reliability of news using knowledge-based Ml models /

IIASU’23 – Artificial intelligence in management, control, and data processing
systems. Proceedings of the II All-Russian scientific conference (Moscow, April
27–28, 2023) : In 5 volumes. – Moscow, Publishing House «KDU», 2023. –
Volume 2. – 406 p. – Electronic edition. – URL: https://bookonlime.ru/node/72807 –
doi: 10.31453/kdu.ru.978-5-7913-1352-2-2023-406. Р-21-27. (rus)

I.Yu.Kashirin. Neural networks for user identification based on analysis of visits to a news site /Vestnik of RSREU. (2022) № 82. P.104-111 (rus)

I.Yu.Kashirin. Application of hierarchical number theory in the design of ICF taxonomy for neural network  optimization /Vestnik of RSREU. 2022. P.118-126. (rus)

 I.Yu.Kashirin. Neural networks with knowledge for big data analysis /Vestnik of RSREU. (2021). № 75.  P.71-84(rus)

I.Yu.Kashirin, I.Yu.Filatov Formalized Description Of Intuitive Perception Of Spatial Situations/ 2019 8th Mediterranean Conference on Embedded Computing (MECO) , Budva, Montenegro, 2019, pp. 1-4. (en)