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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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New Horizons in Web Based Learning

Springer, 2014.
Academic editor: K. W. Dickson, M. Wang, E. Popescu, Q. Li, R. Lau

ICWL 2011 International Workshops, KMEL, ELSM, and SPeL, Hong Kong, December 8-10, 2011, ICWL 2012 International Workshops, KMEL, SciLearn, and CCSTED,Sinaia, Romania, September 2-4, 2012. Revised Selected Papers

Chapters
Ad-Hoc Business Process Management in Enterprises as Expert Communities
Gromoff A., Kazantsev N., Bilinkis (Stavenko) J., , in: New Horizons in Web Based Learning.: Springer, 2014.
The article describes the features of business process management that concerns ad-hoc processes in enterprises as expert communities. The analysis of the possible implementation in corresponding Enterprise Content Management (ECM) system is shown. These results were obtained in the fourth stage of the complex project, which is carried in the frame of Government Grant with ...
Added: December 17, 2014
Priority areas: IT and mathematics business informatics
Language: English
Text on another site
Keywords: Computers and EducationUser Interfaces and Human Computer InteractionInformation Systems Applications (incl. Internet)Artificial Intelligence (incl. Robotics)
New Horizons in Web Based Learning
Similar publications
Growth in noncommutative algebras and entropy in derived categories
Piontkovski D., / Series arXiv "math". 2026.
A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
Added: June 23, 2026
Multilinear nilalgebras and the Jacobian theorem
Piontkovski D., / Series arXiv "math". 2025.
If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
Added: June 23, 2026
ML-based Fast Simulation of FARICH Responses
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Natural hazard database from Internet publications: text mining with a large language model
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Using predefined vector systems to speed up neural network multimillion class classification
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Implementing Transport Coding in OMNeT++ for Message Delay Reduction
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer:  original packets are encoded into  coded packets, and the message is reconstructed after the first  successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Эффективный алгоритм торговли на фондовом рынке: ретроспективный анализ, основанный на данных по S&P-500.
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Proceedings of the 35th International DAAAM Virtual Symposium ''Intelligent Manufacturing & Automation''
NY: DAAAM International Vienna, 2024.
The 35th DAAAM International Symposium on Intelligent Manufacturing and Automation was organised as virtual online conference hosted by the Vienna University of Technology, Vienna, Austria, between the 24th and 25th October 2024, during the DAAAM International Week. The Symposium was organized by DAAAM International Vienna and University of Mostar in cooperation with ÖIAV 1848, Vienna ...
Added: April 5, 2025
Artificial Consciousness, Superintelligence and Ethics in Robotics: How to Get There?
Vervoort L., Melnikov A., Chauhan M. et al., Mind and Matter 2021 Vol. 19 No. 1 P. 7–43
Can future robots and artificial-intelligence (AI) systems have consciousness and genuinely human intelligence – or even superhuman intelligence? Is it possible for them to behave ethically? Here we look at these questions from the point of view of philosophy and AI, and argue that these questions are related: their answer hinges on the fulfillment of ...
Added: November 1, 2022
Интеллектуальные сельскохозяйственные роботы
Raikov A., Абросимов В. К., М.: Карьера Пресс, 2022.
The monograph considers current trends in the development of agro-robots and artificial intelligence systems to improve the efficiency of agriculture, shows the possibilities of their practical application. The management of agricultural robots is considered on the examples of solving the problems of precision farming and animal husbandry, in particular, a comprehensive agrochemical soil survey, recognition ...
Added: July 19, 2022
Метод детектирования пространственного положения рук по данным глубинных камер для малопроизводительных вычислительных устройств
Медведев Д. С., Ignatov A., Научно-технический вестник информационных технологий, механики и оптики 2022 Т. 22 № 2 С. 410–414
A method of arm aiming direction estimation for low performance Internet of Things devices is proposed. It uses Human Pose Estimation (HPE) algorithms for retrieving human skeleton key points. Having these key points, arm aiming directions model is calculated. Two well-known HPE methods (PoseNet and OpenPose) are examined. These algorithms have been tested and compared ...
Added: June 1, 2022
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
IEEE, 2021.
The International Conference on Electrical, Computer and Energy Technologies (ICECET) is a multidisciplinary, peer-reviewed international conference that provides a forum for the exchange of latest technical information, the dissemination of the high-quality research results, the presentation of the new developments in the area, and the debate and shaping of future directions and priorities. ICECET aims ...
Added: February 12, 2022
Digital Turn in Schools—Research, Policy, Practice: Proceedings of ICEM 2018 Conference
Singapore: Springer, 2019.
This volume is a compilation of selected papers that were presented at the annual conference of the International Council of Educational Media (ICEM) in Tallinn, Estonia, on September 5 - 7, 2018. The book reports on recent interdisciplinary research and innovative practices regarding school-wide implementation of digital innovation and connects it with recent developments in ...
Added: November 17, 2020
Proceedings of the 2019 European Conference on Mobile Robotics (ECMR 2019)
Prague: IEEE, 2019.
Added: January 15, 2020
Правовые аспекты оцифровки личности
Budnik R., Информационное общество 2019 № 1 С. 101–107
The article is dedicated to the research of legal aspects of human personality digitization. The issue of virtual individuals’ legal status depending on the scenario of their existence is considered. The role of copyrighted objects that are involved in the process of digitization of human consciousness are revealed. Particular attention is paid to the problem ...
Added: October 31, 2019
Proceedings of the International Conference on Artificial Intelligence ICAI'2016, Las-Vegas, USA
CSREA Press, 2016.
Added: October 22, 2017
Information Retrieval. 8th Russian Summer School, RuSSIR 2014, Nizhniy, Novgorod, Russia, August 18-22, 2014, Revised Selected Papers
Switzerland: Springer, 2015.
This book constitutes the thoroughly refereed proceedings of the 8 th Russian Summer School on Information Retrieval, RuSSIR 2014, held in Nizhniy Novgorod, Russia, in August 2014. The 14 papers presented  were selected from various submissions. The papers focus on visualization  for information retrieval along with other topics related  to information retrieval. ...
Added: February 18, 2016
Инфологические модели в электронном бизнесе
Kniazev K. A., В кн.: Электронный бизнес. Управление интернет-проектами. Инновации: Сборник трудов участников VII студенческой научно-практической конференции. Москва, 11–13 марта 2015 г.: М.: Национальный исследовательский университет "Высшая школа экономики", 2015. С. 16–18.
Infological models represent the new, intuitive way of delivering information, which allows to improve perception, analysis and sharing of data at the expense of a coherent interactive graph, well-accessible for the human. This work is devoted to the potential effect of applying infological models in e-business and prospects, opened by their implementation. ...
Added: December 15, 2015
A genetic algorithm for autonomous navigation in partially observable domain
Maxim Borisyak, Ustyuzhanin A., / Series arxiv :: cs :: Cornell University "arxiv :: cs :: Cornell University". 2015.
The problem of autonomous navigation is one of the basic problems for robotics. Although, in general, it may be challenging when an autonomous vehicle is placed into partially observable domain. In this paper we consider simplistic environment model and introduce a navigation algorithm based on Learning Classifier System. ...
Added: November 9, 2015
Intelligent access network selection in converged multi-radio heterogeneous networks
Andreev S., Gerasimenko M., Galinina O. et al., IEEE Wireless Communications 2014 Vol. 21 No. 6 P. 86–96
Heterogeneous multi-radio networks are emerging network architectures that comprise hierarchical deployments of increasingly smaller cells. In these deployments, each user device may employ multiple radio access technologies to communicate with network infrastructure. With the growing numbers of such multi-radio consumer devices, mobile network operators seek to leverage spectrum across diverse radio technologies, thus boosting capacity ...
Added: March 21, 2015
Social behavior in bacterial nanonetworks: challenges and opportunities
Hassan M., Hossain E., Balasubramaniam S. et al., IEEE Network 2015 Vol. 29 No. 1 P. 26–34
Molecular communication holds the promise to enable communication between nanomachines with a view to increasing their functionalities and opening up new possible applications. Due to some of the biological properties, bacteria have been proposed as a possible information carrier for molecular communication, and the corresponding communication networks are known as bacterial nanonetworks. The biological properties ...
Added: March 21, 2015
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