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Regular version of the site
Article
Efficient indexing of peptides for database search using Tide

Acquaye F. L., Kertesz-Farkas A., Stafford Noble W.

Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 577-584.

Article
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets

Makhalova T., Kuznetsov S., Napoli A.

Data Mining and Knowledge Discovery. 2022. P. 108-145.

Book chapter
Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion

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.

Book chapter
Ontology-Controlled Automated Cumulative Scaffolding for Personalized Adaptive Learning

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.

Book chapter
Triclustering in Big Data Setting

Egurnov D., Точилкин Д. С., Ignatov D. I.

In bk.: Complex Data Analytics with Formal Concept Analysis. Springer, 2022. P. 239-258.

Article
Triclusters of Close Values for the Analysis of 3D Data

Egurnov D., Ignatov D. I.

Automation and Remote Control. 2022. Vol. 83. No. 6. P. 894-902.

Article
Deep Convolutional Neural Networks Help Scoring Tandem Mass Spectrometry Data in Database-Searching Approaches

Kudriavtseva P., Kashkinov M., Kertész-Farkas A.

Journal of Proteome Research. 2021. Vol. 20. No. 10. P. 4708-4717.

Article
Language models for some extensions of the Lambek calculus

Kanovich M., Kuznetsov S., Scedrov A.

Information and Computation. 2022. Vol. 287.

Society – News

“I got the opportunity to see the computer science principles applied in a different domain. It’s one thing knowing that they can be applied in multiple domains but it’s another seeing it up close.”

“I got the opportunity to see the computer science principles applied in a different domain. It’s one thing knowing that they can be applied in multiple domains but it’s another seeing it up close.”
Frank Acquaye is a PhD student atthe Department of Data Analysis and Artificial Intelligence, Faculty of Computer Science, National Research University Higher School of Economics. As part of his postgraduate studies, Frank spent several months inthe Noble Research Lab at the University of Washington, USA, where he did research.

The School Head —Sergei Kuznetsov presented an invited talk at the conference on Technologies of Machine Learning 2018

The successes in the field of artificial intelligence in recent years are impressive - how do they manifest themselves, how do people’s worldviews and society as a whole change, what threats do they have and what to expect in the future?

School Head —Sergei Kuznetsov at the CORE 2018 Conference

School Head —Sergei Kuznetsov at the CORE 2018 Conference
School Head —Sergei Kuznetsov gave a keynote speech "Knowledge Discovery in Complex Data with Pattern Structures" at  CORE 2018