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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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Proceedings of the MACSPro Workshop 2019

Vol. 2478: CEUR Workshop Proceedings. CEUR-WS.org, 2019.
Academic editor: Irina Lomazova, Anna Kalenkova, Р. Яворский
Chapters
Asynchronous Interaction Patterns for Mining Multi-Agent System Models from Event Logs
Roman A. Nesterov, Irina A. Lomazova, , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019. P. 62–73.
Process models discovered from event logs of multi-agent systems may be complicated and unreadable. To overcome this problem, we suggest using a compositional approach. A system model is composed from agent models w.r.t. an interface. Morphisms guarantee that composition of correct models is correct. This study contributes to the practical implementation of the morphism-based compositional ...
Added: October 10, 2019
Efficient Comparison of Process Models using Tabu Search Algorithm
Skobtsov A., Kalenkova A. A., , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019.
Companies from various domains record their operational behavior in a form of event logs. These event logs can be analyzed and relevant process models representing the real companies’ behavior can be discovered. One of the main advantages of the process discovery methods is that they commonly produce models in a form of graphs which can be easily visualized giving an ...
Added: October 13, 2019
Towards a Formal Modelling of Order-driven Trading Systems using Petri Nets: A Multi-Agent Approach
Carrasquel Gamez J. C., Lomazova I. A., Itkin I., , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019. P. 92–103.
Electronic trading systems provide the computational support for stock exchanges. Liquid markets use order-driven systems, i.e., where client requests, for trading financial instruments, are served through individual orders. This paper presents Petri net models assembling some crucial processes executed within order-driven systems such as orders submission, application of precedence rules, and the order matching mechanism. ...
Added: October 14, 2019
Investigation of Temperament Characteristics Influencing the Academic Achievement of First-year University Students
Shadrina E. V., Oshmarina O. E., Korenkova M. et al., , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019. P. 162–176.
The article examines the influence of human temperament on academic performance and predictions of "risky" students. Analysis was held with the help of statistics methods and methods of data mining. The baseline data for the study is information about students, collected using the online support system for the educational process at HSE - LMS (Learning ...
Added: October 30, 2019
Multilabel Classification for Inflow Profile Monitoring
Ignatov D. I., Spesivtsev P., Kurgansky D. et al., , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019. P. 177–184.
The purpose of this study is to identify the position of non- performing inflow zones (sources) in a wellbore by means of machine learning techniques. The training data are obtained using the transient multiphase simulators and represented as the following time-series: bottom- hole pressure, well-head pressure, flowrates of gas, oil, and water along with a ...
Added: November 1, 2019
Harnessing the Complexity of Mobile Network Data with Smart Monitoring
Suleykin, A., Panfilov, P., , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019. Ch. 13 P. 149–161.
Mobile (cellular) networks represent a fast evolving research field that take advantages of recent technological advances such as Big Data and distributed computing to provide extensive network monitoring for network operation planning and management purposes. Challenges related to making use of the large volume of streaming data generated by mobile networks include extracting relevant elements ...
Added: November 25, 2019
Modeling of Necessity Entrepreneurship via General Equilibrium Approach
Fomenko M., Alexander Shapoval, , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019. P. 185–190.
We construct a structural model of the occupational choice under unemployment, giving a natural definition of necessity entrepreneurs as individuals who fail to find a salaried job, but running business, they are able to earn more than the unemployment benefit. The existence of the necessity entrepreneurs shrinks unemployment in the economy and positively affects the ...
Added: January 9, 2020
Self-Organized Criticality on Self-Similar Lattice: Exponential Time Distribution between Extremes
Dayana Mukhametshina, Shapoval S., Shnirman M. G., , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019. P. 127–138.
In 1987, Bak, Tang, and Wiesenfeld introduced a mechanism (hereafter, the BTW mechanism) that underlies self-organized critical systems. Extreme events generated by the BTW mechanism are be- lieved to exhibit an unpredictable occurrence. In spite of this general opinion, the largest events in the original BTW model are efficiently predictable by algorithms that exploit information ...
Added: January 9, 2020
Machine Learning Applications for Genomic Pattern Recognition Problem
Tevanyan E., Poptsova M., , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019. P. 139–148.
DNAsecondary structures are important functional elements thatmay influence cellular processes. One of theirpossible functions is regulation of nucleosome positioning. Here MNAse-seq and ssDNA-seq data were used to define patterns of positional relationship of DNA structures such as Z-DNA, H-DNA and G-quadruplexes with nucleosomes. Three types of patterns werefound: a structure is surrounded by nucleosomes from ...
Added: January 15, 2020
Language: English
Keywords: modelling of complex systemssimulation modelingmulti-agent systemscomplex systemssoftware testing and debugging
Proceedings of the MACSPro Workshop 2019
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