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Pokrovsky boulevard, 11, room S938, Moscow, Russia, 109028
Phone: +7 (495) 772-95-90*27319
The School of Data Analysis and Artificial Intelligence was created in 2014 as part of the Department of Data Analysis and Artificial Intelligence. The school consists of world-renowned researchers who actively participate in international research projects.
Acquaye F. L., Kertesz-Farkas A., Stafford Noble W.
Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 577-584.
Vasilii A. Gromov, Yury N. Beschastnov, Korney K. Tomashchuk.
PeerJ Computer Science. 2023. Vol. 9. No. .
Makhalova T., Kuznetsov S., Napoli A.
Data Mining and Knowledge Discovery. 2022. P. 108-145.
Dudyrev E., Semenkov Ilia, Kuznetsov S. et al.
Plos One. 2022. Vol. 17. No. 10.
Zhirayr Hayrapetyan, Nascimento S., Trevor F. et al.
In bk.: Information Systems and Technologies: WorldCIST 2022, Volume 2. Iss. 469. Springer, 2022. P. 141-147.
Dudyrev F., Neznanov A., Anisimova K.
In bk.: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II. Springer, 2022. P. 436-439.
Egurnov D., Точилкин Д. С., Ignatov D. I.
In bk.: Complex Data Analytics with Formal Concept Analysis. Springer, 2022. P. 239-258.
Egurnov D., Ignatov D. I.
Automation and Remote Control. 2022. Vol. 83. No. 6. P. 894-902.
Kudriavtseva P., Kashkinov M., Kertész-Farkas A.
Journal of Proteome Research. 2021. Vol. 20. No. 10. P. 4708-4717.
Kanovich M., Kuznetsov S., Scedrov A.
Information and Computation. 2022. Vol. 287.
Anniversary workshop "Data recovery clustering"
The workshop is dedicated to the anniversary of Tenured Professor Boris G. Mirkin will take place on Monday, December 12th 2022 at 15.00.
Topic: "Data recovery clustering".
Abstract: The talk reviews the author's work in clustering. It starts from approximation problems for square similarity matrices. Resulting cluster structures may represent conventional structures such as partitions and single clusters, as well as rather unusual structures such as structured partitions (aka block-models) and chain orders. Most recent work with author's participation include (a) least squares community detection in attribute-rich networks (2020-21) and (b) core-shell clusters in the analysis of oceanic upwellings (2022-2023). Then I move on to the analysis of k-means clustering in this perspective. I present a Pythagorean decomposition of the data scatter, a comlementary criterion, and applications to (c) anomalous clustering and (d) geometric interpretation of chi-squared. Some examples of application are given. Joint work with I. Muchnik, T. Smith, E. Koonin, Y. Wolf, and T. Fenner.
Room: G 303
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PROGRAM |
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| time | speaker | topic |
| 15.00-15.15 | Sergei Kuznetzov | Opening speech |
| 15.15-16.00 | Boris Mirkin | Data recovery clustering |
| 16.00-16.30 | Fuad Aleskerov | Модели интервального выбора |
| 16.30-17.00 | Dmitriy Ilvovskiy | Attention in NLP: grabbing for good and for bad |
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COFFEE-BREAK (17.30-18.00) |
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| 18.00-18.30 | Boris Goldengorin | Mirkin's walk from prebase (in automata theory) to abstractions, generalizations, and interpretations |
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18.30-19.00 |
Spot the bot |
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19.00-19.30 |
Delta-Closure Structure for Studying Data Distribution |
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