Андреев Илья Алексеевич
кандидат технических наук
заведующий лабораторией, лаборатория автоматизации образовательного процесса,
доцент, кафедра "Информационные системы",
старший научный сотрудник, научно-исследовательский отдел
Направления научных исследований
- извлечение терминологии
- онтологии
- статистика
- лингвистика
- обработка текстов на естественном языке
Основные публикации:
1. Romanov A. Yarushkina, N., Filippov, A., Sergeev, P., Andreev, I., Kiselev, S. Time Series Forecasting during Software Project State Analysis //Mathematics. – 2023. – Т. 12. – №. 1. – P. 47.
2. Moshkin V. S., Kurilo D. S., Andreev I. A. Hybridization of Ontologies and Neural Networks in the Problems of Detecting Anomalies of Time Series //Pattern Recognition and Image Analysis. – 2023. – Т. 33. – №. 3. – P. 425-431.
3. Andreev I. A., Moshkin V. S., Yarushkina N. G. Hybrid Algorithm of Classifying Candidates for Subject Area Terms //2022 VIII International Conference on Information Technology and Nanotechnology (ITNT). – IEEE, 2022. – P. 1-5.
4. Moshkin V., Andreev I. Development of a Program Code Review System Using Machine Learning Methods //International Conference Artificial Intelligence in Engineering and Science. – Cham : Springer International Publishing, 2022. – P. 71-84.
5. Andreev, V. Moshkin, D. Fadeev, D. Kurilo An Intelligent Search Algorithm for Extremist Texts Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology : 7, Samara, 20–24 september 2021. – Samara, 2021. – DOI 10.1109/ITNT52450.2021.9649291. – EDN JSSMDS.
6. Romanov A. Yarushkina, N., Filippov, A., Sergeev, P., Andreev, I., Kiselev, S. Time Series Forecasting during Software Project State Analysis //Mathematics. – 2023. – Т. 12. – №. 1. – P. 47.
7. Moshkin V. S., Kurilo D. S., Andreev I. A. Hybridization of Ontologies and Neural Networks in the Problems of Detecting Anomalies of Time Series //Pattern Recognition and Image Analysis. – 2023. – Т. 33. – №. 3. – P. 425-431.
8. Andreev I. A., Moshkin V. S., Yarushkina N. G. Hybrid Algorithm of Classifying Candidates for Subject Area Terms //2022 VIII International Conference on Information Technology and Nanotechnology (ITNT). – IEEE, 2022. – P. 1-5.
9. Moshkin V., Andreev I. Development of a Program Code Review System Using Machine Learning Methods //International Conference Artificial Intelligence in Engineering and Science. – Cham : Springer International Publishing, 2022. – P. 71-84.
10. Andreev, V. Moshkin, D. Fadeev, D. Kurilo An Intelligent Search Algorithm for Extremist Texts Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology : 7, Samara, 20–24 september 2021. – Samara, 2021. – DOI 10.1109/ITNT52450.2021.9649291. – EDN JSSMDS.
11. Andreev, V. Moshkin, N. Yarushkina The Extending the Knowledge Base of the Intelligent CAD of a Design Organization Using Semantic Analysis of Wiki-Resources, Advances in Automation //Proceedings of the International Russian Automation Conference, RusAutoConf2020, https://doi.org/10.1007/978-3-030-71119-1_68
12. Kurilo, D. S., Moshkin, V. S., Andreev, I. A., & Yarushkina, N. G Interpreting the definition of time series anomalies using fuzzy ontologies //2023 IX International Conference on Information Technology and Nanotechnology (ITNT). – IEEE, 2023. – P. 1-3.
13. Romanov A. Yarushkina, N., Filippov, A., Sergeev, P., Andreev, I., Kiselev, S. Time Series Forecasting during Software Project State Analysis //Mathematics. – 2023. – Т. 12. – №. 1. – P. 47.
14. Moshkin V. S., Kurilo D. S., Andreev I. A. Hybridization of Ontologies and Neural Networks in the Problems of Detecting Anomalies of Time Series //Pattern Recognition and Image Analysis. – 2023. – Т. 33. – №. 3. – P. 425-431.
15. Andreev I. A., Moshkin V. S., Yarushkina N. G. Hybrid Algorithm of Classifying Candidates for Subject Area Terms //2022 VIII International Conference on Information Technology and Nanotechnology (ITNT). – IEEE, 2022. – P. 1-5.
16. Moshkin V., Andreev I. Development of a Program Code Review System Using Machine Learning Methods //International Conference Artificial Intelligence in Engineering and Science. – Cham : Springer International Publishing, 2022. – P. 71-84.