• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Article
Relative Chaoticity of Natural Languages

Yerbolova A. S., Tomashchuk K., Kogan A. et al.

Complexity. 2026. Vol. 2026. No. 1.

Book chapter
KoWit-24: A Richly Annotated Dataset of Wordplay in News Headlines

Alexander Baranov, Anna Palatkina, Makovka Y. et al.

In bk.: Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing. Shumen: INCOMA Ltd, 2025. P. 125-132.

Working paper
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset

Меньшиков И. А., Бернадотт А. К., Elvimov N. S.

Statistical mechanics. arXie. arXive, 2025

About the School

The School of Data Analysis and Artificial Intelligence was established in 2014, succeeding the Department of Data Analysis and Artificial Intelligence. The unit has been conducting its research and teaching activities since 2006. Its staff includes world-class researchers actively involved in international projects in fields such as data clustering, Data MiningFormal Concept AnalysisSemantic Technologies and Ontology EngineeringMachine LearningNatural Language Processing, development of Intelligent and Recommender SystemsSocial Network Analysis, and Medical Informatics.

Key priorities of the Department include the active recruitment of international specialists and the dedicated supervision of undergraduate and graduate students. The faculty features international scholars, including Associate Professors Quentin Paul Bernard Paris and Thomas Clément Fernique (France), Associate Professor Attila Kertesz-Farkas (Hungary), and Sabarathinam Srinivasan (India), Professor Oleg Pianykh (Harvard Medical School).

For many years, our team has included the distinguished scientist, member of the Academia Europaea, and HSE Distinguished Professor Boris Mirkin.

The Department includes the Center for Language and Semantic Technologies, established in 2024 to address natural language processing challenges and develop semantic technologies based on interpretable AI methods and modern machine learning models.

In 2021, the Research Laboratory of AI for Computational Biology was founded under the leadership of Associate Professor Attila Kertesz-Farkas. The laboratory develops advanced deep learning technologies for analyzing biomolecular medical data to be applied in life sciences and biomedicine. The Head of the Department is Sergei O. Kuznetsov, Doctor of Sciences in Physics and Mathematics and HSE Distinguished Professor.