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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.

Joint Project with University of Stellenbosch

In the end of November Sergei Kuznetsov, Head of the School of Data Analysis and Artificial Intelligence, and Dmitry Ilvovsky, Junior Research Fellow at the International Laboratory for Intelligent Systems and Structural Analysis visited the University of Stellenbosch in South Africa.

Joint Project with University of Stellenbosch

The trip was organised in the framework of the joint project of the Russian Foundation for Basic Research and South Africa’s National Research Foundation and the programme of scientific development of the International Laboratory for Intelligent Systems and Structural Analysis.

The visit aimed at scientific cooperation and interaction between the research group of the School of Data Analysis and Artificial Intelligence (HSE Faculty of Computer Science) and their colleagues from the departments of mathematics, computer science and social sciences of the University of Stellenbosch.

During the workshops and presentations the participants discussed joint research projects in data analysis, text mining, machine learning, computer logic, and other areas of computer science. The representatives of the universities also prepared preliminary versions of joint publications by Russian and South African researchers and discussed signing a cooperation agreement related to student exchange and double degree programmes.

HSE representatives also agreed to conduct data analysis of South African wine industry in cooperation with the University of Stellenbosch oenology and computer science departments. Export of high quality dry wines from hundreds of manufacturers is one of the main income items in South Africa, while the relevant data hasn’t been analyzed yet.