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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.

Research & Expertise – News

Pr. Pierre Mathieu (Aix-Marseille University) gives a mini-course for The G2PS research group

The G2PS research group successfully continues its work and presents a mini-course by Pr. Pierre Mathieu (Aix-Marseille University) «Random walks on hyperbolic groups».
The first mini-course workshop took place on February 13, 2020; 18:10-21:00 in the context of G2PS meetings.

The 3rd International Workshop "Formal Concept Analysis for Knowledge Discovery", 7June 2019

Formal concepts proved to be of big importance for knowledge discovery, both as a tool for concise representation of association rules and a tool for clustering and constructing taxonomies. The FCA4KD workshop aims at bringing together researchers working on diverse aspects of FCA-based knowledge extraction with the applications to fields like Computer and Information Science, Linguistics, Life and Social Sciences, Bioengineering, Chemistry, etc.

The head of the laboratory Sergei Kuznetsov presented an invited talk at the conference BDA 2017

On November 17 the head of the laboratory Sergei Kuznetsov presented an invited talk Galois connections for dependencies in databases (slides) at the conference «Gestion de Données — Principes, Technologies et Applications» (BDA 2017)

Ella Tyuryumina, Research Assistant IL ISSA, had presentation on conference IEEE ICHI 2017 in USA

Ella Tyuryumina, Research Assistant IL ISSA, had presentation on conference IEEE ICHI 2017 in USA
The Fifth IEEE International Conference on Healthcare Informatics (ICHI 2017) took place in Park City, Utah, in the heart of the Rocky Mountains, from august 23rd to August 26th, 2017.

Professor Sergei Kuznetsov presented a paper at IJCAI 2017

Professor Sergei Kuznetsov presented a paper at IJCAI 2017
26th International Joint Conference on Artificial Intelligence, IJCAI 2017 was held on August 19-25 in Melbourne, Australia.

Formal Concept Analysis for Knowledge discovery: get ready for surprising practical applications

On Tuesday, the 16th of March, the International Workshop “Formal Concept Analysis for Knowledge Discovery” was held at the Faculty of Computer Science.

Springer published ISSA laboratory research fellow's book "Conceptual Exploration"

The book  is written by B.Ganter and S.Obiedkov. Bernhard Ganter is emeritus professor of mathematics at Technische Universität Dresden, Germany. His main research field is Formal Concept Analysis. Sergei Obiedkov  is an Research Fellow at the ISSA Laboratory and an associate professor at the National Research University Higher School of Economics, Moscow. His research covers topics in data analysis and artificial intelligence, including logical and algorithmic aspects.

Joint Project with University of Stellenbosch

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.

Doctoral Student from School of Data Analysis and Artificial Intelligence Defends Dissertation in France

Doctoral Student from School of Data Analysis and Artificial Intelligence Defends Dissertation in France
On October 6, Alexey Buzmakov, doctoral student in the School of Data Analysis and Artificial Intelligence, defended his thesis entitled ‘Formal Concept Analysis and Pattern Structures for Mining Structured Data’ at the University of Lorraine. 

World Engineering Education Forum

World Engineering Education Forum
Alexey Neznanov, Associate Professor at the School of Data Analysis and Artificial Intelligence and Olga Maksimenkova, Senior lecturer at the School of Software Engineering, took part in the World Engineering Education Forum that was held on September 20-24 in Florence, Italy. The Forum Programme Committee included the members of IFEES, COPI, EEDS/SEFI, ENAEE, EUCEET, IGIP and other communities engaged in engineering education.