Ilia Semenkov
- Analyst :Institute for Cognitive Neuroscience
- Doctoral Student:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Ilia Semenkov has been at HSE University since 2021.
Postgraduate Studies
3rd year of study
Approved topic of thesis: Algorithms for constructing generative models of streaming data
Academic Supervisor: Makarov, Ilya
Publications9
- Article Semenkov I., Karpov A., Savchenko A., Makarov I. Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild // IEEE Access. 2024. Vol. 12. P. 5163-5176. doi
- Preprint Ossadtchi A., Semenkov I., Zhuravleva A., Serikov O., Voloshina E. Representational dissimilarity component analysis (ReDisCA) / Cold Spring Harbor Laboratory. Series http://dx.doi.org/ "BioRxiv". 2024. doi
- Article Ilia Semenkov, Nikita Fedosov, Makarov I., Ossadtchi Alexei. Real-time low latency estimation of brain rhythms with deep neural networks // Journal of Neural Engineering. 2023. Vol. 20. No. 5. Article 056008. doi
- Chapter Федосов Н. П., Семенков И. В., Аксиотис В. А., Некрасова Ю. Ю., Осадчий А. Е. Мгновенная нейрообратная связь (INeurofeedback) // В кн.: Сборник тезисов XXIV съезда физиологического общества им. И. П. Павлова, 11–15 сентября 2023 года. СПб. : ООО "Издательство ВВМ", 2023. С. 316-316.
- Article Dudyrev E., Semenkov Ilia, Kuznetsov S., Gusev G., Sharp A., Pianykh O. Human knowledge models: Learning applied knowledge from the data // Plos One. 2022. Vol. 17. No. 10. Article e0275814. doi
- Chapter Ilya Semenkov, Sergei O. Kuznetsov. Ensemble Techniques for Lazy Classification Based on Pattern Structures, in: Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021) / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Vol. 2972. CEUR-WS, 2021. P. 105-112.
- Article Egor Ershov, Savchik A., Ilya Semenkov, Banić N., Koščević K., Subašić M., Belokopytov A., Terekhin A., Senshina D., Nikonorov A., Li Z., Qian Y., Buzzelli M., Riva R., Bianco S., Schettini R., Barron J. T., Lončarić S., Dmitry Nikolaev. Illumination estimation challenge: The experience of the first 2 years // Color Research and Application. 2021. Vol. 46. No. 4. P. 705-718. doi
- Article Egor Ershov, Savchik A., Illya Semenkov, Banić N., Belokopytov A., Senshina D., Koščević K., Subašić M., Lončarić S. The Cube++ Illumination Estimation Dataset // IEEE Access. 2020. Vol. 8. P. 227511-227527. doi
- Chapter И.В.Семенков, Е.И. Ершов, Савчик А. Определение засвеченных пикселей на изображении // В кн.: Труды 63-й Всероссийской научной конференции МФТИ. Прикладная математика и информатика. М. : МФТИ, 2020. С. 216-218.
Conferences
- 2022IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY 2022) (Subotica). Presentation: Attention-based Models in Self-supervised Monocular Depth Estimation
- 2021
9th FCA4AI Workshop co-located with the IJCAI 2021 Conference (Montréal). Presentation: Ensemble Techniques for Lazy Classification Based on Pattern Structures
- 2020
63-й Всероссийской научной конференции МФТИ (Москва). Presentation: Определение засвеченных пикселей на изображении