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News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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About Universality and Flexibility of FCA-based Software Tools

P. 59–66.
Neznanov A., Parinov A.
There is a big gap between variety of applications of Formal Concept  Analysis (FCA) methods and general-purpose software implementations. We  discuss history of FCA-based software tools, which is relatively short, main  problems in advancing of such tools, and development ideas. We present Formal  Concept Analysis Research Toolbox (FCART) as an integrated environment for  knowledge and data engineers with a set of research tools based on Formal  Concept Analysis. FCART helps us to illustrate methodological and  technological problems of FCA approach to data analysis and knowledge  extraction.
Language: English
Full text
Text on another site
Keywords: softwareFCA (Formal Concept Analysis)Knowledge ExtractionKnowledge Discovery and Data Mining
Publication based on the results of:
Mathematical models, algorithms and software for data mining in the text and the structural form (2014)

In book

Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2014)
Vol. 1257. , Prague: CEUR Workshop Proceedings, 2014.
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