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Regular version of the site

About the School

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.

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

Generalized relational tensors for chaotic time series

Vasilii A. Gromov, Yury N. Beschastnov, Korney K. Tomashchuk.

PeerJ Computer Science. 2023. Vol. 9. No. .

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.

Article

Human knowledge models: Learning applied knowledge from the data

Dudyrev E., Semenkov Ilia, Kuznetsov S. et al.

Plos One. 2022. Vol. 17. No. 10.

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.

All publications

Thirteenth International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC-2011)

URL: http://rsfdgrc.hse.ru

June 25 - June 27, 2011

Objective:

RoughSets, Fuzzy Sets, Data Mining & Granular Computing (RSFDGrC-2011) is a series of International scientific conferences spanning over last 15 years. RSFDGrC investigates the meeting points among the four major areas outlined inits title, with respect to foundations and applications. In 2011, RSFDGrCis co-organized with the Fourth International Conference on Pattern Recognition & Machine Intelligence (PReMI-2011) that provides additional means formulti-faceted interaction of both scientists and practitioners. RSFDGrC-2011 held in Moscow will be a fully international event aimed at building bridges between different research groups from East and West.

Topics:

Rough Sets — Foundations & Applications
Fuzzy Sets — Foundations & Applications
Knowledge Discovery & Data Mining
Soft & Granular Computing
Decision Support & Decision Making Methodologies
Approximate & Uncertain Reasoning
Domain-Specific Data Processing & Information Retrieval
Knowledge Technology & Representation
Human-Computer Interaction & User Modeling

Date

March 22, 2012

About

School of Data Analysis and Artificial Intelligence