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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
I. O. Buyanov, V. V. Yadrintsev, I. V. Sochenkov, “Neural vector compression in approximate nearest neighbor search on large datasets”, Proceedings of ISP RAS, 36:1 (2024), 7–22  |
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2023 |
| 2. |
O. G. Grigoriev, D. A. Devyatkin, A. I. Molodchenkov, A. I. Panov, I. V. Smirnov, I. V. Sochenkov, N. V. Chudova, K. Yakovlev, “Artificial intelligence and cognitive modeling: creative heritage of G. S. Osipov”, Artificial Intelligence and Decision Making, 2023, no. 4, 3–15  |
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2022 |
| 3. |
D. Yu. Turdakov, A. I. Avetisyan, K. V. Arkhipenko, A. V. Antsiferova, D. S. Vatolin, S. S. Volkov, A. V. Gasnikov, D. A. Devyatkin, M. D. Drobyshevskiy, A. P. Kovalenko, M. I. Krivonosov, N. V. Lukashevich, V. A. Malykh, S. I. Nikolenko, I. V. Oseledets, A. I. Perminov, I. V. Sochenkov, M. M. Tihomirov, A. N. Fedotov, M. Yu. Khachay, “Trusted artificial intelligence: challenges and promising solutions”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 13–18 ; Dokl. Math., 106:suppl. 1 (2022), S9–S13 |
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| 4. |
V. V. Zhebel, D. A. Devyatkin, D. V. Zubarev, I. V. Sochenkov, “Methods for cross-lingual retrieval of similar documents in legal domain based on machine learning”, Artificial Intelligence and Decision Making, 2022, no. 2, 27–35 ; Scientific and Technical Information Processing, 50:5 (2023), 494–499 |
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2021 |
| 5. |
D. V. Zubarev, A. A. Ryzhova, G. V. Ovchinnikov, D. A. Devyatkin, I. V. Sochenkov, “Graph and topical similarity-based methods for assignment of experts”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2021, no. 4, 51–60 |
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2020 |
| 6. |
V. I. Budzko, V. V. Yadrintsev, I. V. Sochenkov, V. I. Korolev, V. G. Belenkov, “Extraction of confidentiality markers from texts under conditions of high uncertainty in systems with data intensive usage”, Inform. Primen., 14:4 (2020), 69–76 |
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| 7. |
V. G. Belenkov, V. I. Budzko, D. A. Devyatkin, A. V. Kan, I. S. Mikhailin, I. V. Sochenkov, I. A. Tikhomirov, V. S. Shapkin, “Methodology for identifying centers of excellence in aviation science based on publication and patent activity”, Proceedings of ISP RAS, 32:4 (2020), 21–40 |
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2019 |
| 8. |
D. A. Devyatkin, A. T. Sofronova, I. V. Sochenkov, “Methods for identifying links between regulatory documents”, Artificial Intelligence and Decision Making, 2019, no. 4, 61–69 |
| 9. |
V. V. Zhebel, S-N. A. Zharikova, I. V. Sochenkov, “Feature selection for text classification of a news flows based on topical importance characteristic”, Artificial Intelligence and Decision Making, 2019, no. 3, 52–59 |
| 10. |
D. V. Zubarev, I. V. Sochenkov, I. A. Tikhomirov, O. G. Grigoriev, “Expert assignment method based on similar document retrieval from large text collections”, Artificial Intelligence and Decision Making, 2019, no. 2, 62–71 |
| 11. |
D. V. Zubarev, I. V. Sochenkov, “Cross-lingual similar document retrieval methods”, Proceedings of ISP RAS, 31:5 (2019), 127–136 |
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2018 |
| 12. |
I. Sochenkov, D. Zubarev, I. Tikhomirov, “Exploratory patent search”, Inform. Primen., 12:1 (2018), 89–94 |
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| 13. |
M. I. Ananyeva, M. A. Kamenskaya, M. V. Kobozeva, I. V. Sochenkov, “Information support of the services management system for shared research and educational center of FASO institutions”, Artificial Intelligence and Decision Making, 2018, no. 1, 108–117 |
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2017 |
| 14. |
A. S. Sochenkova, I. V. Sochenkov, A. V. Vokhmintcev, “Inverted indexing of images for face search and recognition”, Artificial Intelligence and Decision Making, 2017, no. 1, 50–58 |
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2016 |
| 15. |
I. V. Sochenkov, R. Maluleka, “Query formulation for source retrieval based on named entities and n-grams extraction”, Artificial Intelligence and Decision Making, 2016, no. 3, 44–47 |
| 16. |
D. A. Devyatkin, R. E. Suvorov, I. V. Sochenkov, “An information retrieval system for decision support: an Arctic-related mass media case study”, Artificial Intelligence and Decision Making, 2016, no. 1, 37–46 ; Scientific and Technical Information Processing, 44:5 (2017), 329–337 |
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2015 |
| 17. |
I. V. Sochenkov, A. V. Vokhmintsev, V. V. Kuznetsov, N. A. Khromov, K. S. Grigoryeva, “Visual duplicates image search based on inverted index of color histograms”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015, no. 4, 86–94 |
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2013 |
| 18. |
I. V. Smirnov, I. V. Sochenkov, R. E. Suvorov, I. A. Tikhomirov, “Web content filtering: state of art and prospects”, Artificial Intelligence and Decision Making, 2013, no. 2, 54–62 |
| 19. |
I. V. Sochenkov, “Text comparison method for a search and analytical engine”, Artificial Intelligence and Decision Making, 2013, no. 2, 32–43 |
| 20. |
R. E. Suvorov, I. V. Sochenkov, “Method for detecting relationships between sci-tech documents based on topic importance characteristic”, Artificial Intelligence and Decision Making, 2013, no. 1, 33–40 ; Scientific and Technical Information Processing, 42:5 (2015), 321–327 |
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| 21. |
I. V. Sochenkov, R. E. Suvorov, “Full-text search in the information-analytical system (Part 2). Text understanding algorithms”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, no. 3, 55–71 |
| 22. |
I. V. Sochenkov, R. E. Suvorov, “Full-text search in the information-analytical system”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, no. 2, 69–78 |
| 23. |
D. A. Deviatkin, R. E. Suvorov, I. V. Sochenkov, “A method for topic clustering for large science publication collections”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, no. 1, 33–42 |
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2012 |
| 24. |
E. Mbaykodzhi, A. A. Dral, I. V. Sochenkov, “Short text messages classification method”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2012, no. 3, 93–102 |
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2016 |
| 25. |
A. A. Zatsarinnyi, I. V. Sochenkov, A. P. Suchkov, “Some scientific and methodological issues during the creation of the Analytical Technologies and Programs Foundation”, Artificial Intelligence and Decision Making, 2016, no. 2, 78–82 |
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