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September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
September 21, 2026
Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

 

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Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)

Vol. 1197: Supplementary Proceedings of AIST 2014. Ekaterinburg : CEUR Workshop Proceedings, 2014.
Under the general editorship: Ignatov D. I., M. Khachay, A. Panchenko, N. Konstantinova, R. Yavorsky, D. Ustalov

AIST'2014 is an international data science conference on Analysis of Images, Social Networks, and Texts. Traditionally, the conference is held annually in Yekaterinburg, Russia. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science.

LIST OF TOPICS (NON EXHAUSTIVE)

  • Applications of Data Mining and Machine Learning techniques to
    • Analysis of images and video
    • Natural Language Processing
    • Social Network Analysis
    • Recommender systems and collaborative technologies
    • Geoinformation systems
    • Game analytics
    • Information Retrieval
  • Core Data Mining and Machine Learning techniques
  • Sematic Web and Ontologies
  • Data Mining in social sciences and economics
    • Computational econometrics
    • Experimental Economics
    • Educational Data Mining
Chapters
Общественное мнение онлайн: сравнение структуры и тематики постов «обычных» и «популярных» блогеров Живого Журнала
Svetlana Alexeeva, Olessia Koltsova, Sergei Koltsov, В кн.: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. С. 177–181.
Статья посвящена сравнению тематической структуры и ос- новных статистических параметров постов «обычных» и «популярных» блогеров Живого Журнала. Исследование показало существенное темати- ческое сходство обеих выборок, была опровергнута гипотеза о большем интересе «топовых» блогеров к социально-политическим темам по срав- нению с обычными блогерами. Различие между двумя группами заключа- ется в меньшей активности и большей зашумленности данных ...
Added: October 8, 2014
Visual analytics in FCA-based triclustering
Kashnitsky Y., , in: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. Ch. 12 P. 69–80.
Visual analytics is a subdomain of data analysis which combines both human and machine analytical abilities and is applied mostly in decision-making and data mining tasks. Triclustering, based on Formal Concept Analysis (FCA), was developed to detect groups of objects with similar properties under similar conditions. It is used in Social Network Analysis (SNA) and ...
Added: August 28, 2014
Использование семантического анализа текстов для поиска специалистов
Zakhlebin I. V., В кн.: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. С. 187–191.
This paper presents a semantic method for searching for the experts. The method operates over a set of texts authored by themselves. The query format allowing one to define a set of the selected skills, and the algorithms for constructing and comparing the semantic representations are also presented. The ExpSearch-1 (Experts Search, version 1) system ...
Added: July 11, 2015
Analysis System of Scientific Publications Based on the Ontology Approach
Svetlana A. Strinuk, Lanin V., , in: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. P. 81–85.
The article describes an approach to scientific publications repository creation based on ontology approach and corpus linguistics methods, processing of unstructured data (scientific papers) using GATE. Implementation of discussed methods is intended to decrease significantly labor intensity of information search and analysis, provide operational use of information in research. ...
Added: January 13, 2015
Research target: Computer Science
Priority areas: IT and mathematics
Language: English
Full text
Text on another site
Keywords: машинное обучениеанализ изображенийанализ текстовинформационный поисккомпьютерное зрениеnatural language processingанализ социальных сетейbest practices for adaptation of data miningmachine learningsocial network analysisавтоматический анализ текстаimage analysis information retrievalмайнинг данных
Publication based on the results of:
Mathematical models, algorithms and software for data mining in the text and the structural form (2014)
Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)
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