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News
July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.
July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.

 

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Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2018

Vol. 2115: CEUR Workshop Proceedings. CEUR-WS.org, 2018.
Chapters
Compositional Discovery of Workflow Nets from Event Logs Using Morphisms
Bernardinello L., Irina Lomazova, Roman Nesterov et al., , in: Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2018Vol. 2115: CEUR Workshop Proceedings.: CEUR-WS.org, 2018. P. 23–38.
This paper presents a modular approach to discover process models for multi-agent systems from event logs. System event logs are filtered according to individual agent behavior. We discover workflow nets for each agent using existing process discovery algorithms. We consider asynchronous interactions among agents. Given a specification of an interaction protocol, we propose a general ...
Added: June 21, 2018
Priority areas: IT and mathematics
Language: English
Text on another site
Keywords: business process modelingprocess discoveryevent data
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2018
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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
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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
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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, ...
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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 ...
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Using predefined vector systems to speed up neural network multimillion class classification
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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
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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 ...
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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 ...
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Эффективный алгоритм торговли на фондовом рынке: ретроспективный анализ, основанный на данных по S&P-500.
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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
Диаграммы деятельности студентов «Бизнес-информатики»: исследование восприятия и дефектов при их создании
Datsun N. N., Вестник Мининского университета 2025 Т. 13 № 1 Статья 2
Introduction. Successful mastery of the object-oriented modeling methodology of business processes requires students of Business Informatics to invest significant time and effort in practical activities. How do students of this specialty perceive UML activity diagrams? Why do the models they create contain defects that reduce the quality of the diagrams? Does the defects number in ...
Added: April 30, 2025
Discovering hierarchical process models: an approach based on events partitioning
A. K. Begicheva, I. A. Lomazova, R. A. Nesterov, Modeling and Analysis of Information Systems 2024 Vol. 31 No. 3 P. 294–315
Process mining is a field of computer science that deals with the discovery and analysis of process models based on automatically generated event logs. Currently, many companies are using this technology to optimize and improve their business processes. However, a discovered process model may be too detailed, sophisticated, and difficult for experts to understand. In ...
Added: September 14, 2024
Typed Petri Nets with Variable Arc Weights
Lomazova I. A., Mitsyuk A. A., Rivkin A., , in: Business Process Management Workshops. BPM 2023 International Workshops, Utrecht, The Netherlands, September 11–15, 2023, Revised Selected PapersVol. 492.: Switzerland: Springer, 2024. P. 483–495.
Object-centric processes have become increasingly popular in the last years mainly due to the establishment of object-centric process mining. One of the most popular formalisms for describing lifecycles of objects and capturing relationships between them are object-centric Petri nets. An important feature of such nets is the ability to transfer an arbitrary number of same-typed ...
Added: January 17, 2024
Business Process Management Workshops. BPM 2023 International Workshops, Utrecht, The Netherlands, September 11–15, 2023, Revised Selected Papers
Switzerland: Springer, 2024.
This book constitutes revised papers from the International Workshops held at the 21st International Conference on Business Process Management, BPM 2023, in Utrecht, The Netherlands, during September 2023. Papers from the following workshops are included: • 7th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2023) • 7th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT ...
Added: January 17, 2024
Discovering Process Models from Event Logs of Multi-Agent Systems Using Event Relations
A. A. Sherstyugina, R. A. Nesterov, Proceedings of the Institute for System Programming of the RAS 2023 Vol. 35 No. 3 P. 11–32
The structure of a process model directly discovered from an event log of a multi-agent system often does not reflect the behavior of individual agents and their interactions. We suggest analyzing the relations between events in an event log to localize actions executed by different agents and involved in their asynchronous interaction. Then, a process ...
Added: October 31, 2023
Discovering architecture-aware and sound process models of multi-agent systems: a compositional approach
Nesterov R., Bernardinello L., Lomazova I. A. et al., Software and Systems Modeling 2023 Vol. 22 P. 351–375
A process model discovered from an event log of a multi-agent system often does not fully cover certain viewpoints of its architecture. We consider those concerned with the structure of a model explicitly reflecting agent behavior and interactions. The direct discovery from an event log of a multi-agent system may result in an unclear model ...
Added: May 5, 2022
Method for Building UML Activity Diagrams from Event Logs
N. S. Zubkova, S. A. Shershakov, Proceedings of the Institute for System Programming of the RAS 2019 Vol. 31 No. 4 P. 139–150
UML Activity Diagrams are widely used models for representing software processes. Models built from event logs, recorded by information systems, can provide valuable insights into real flows in processes and suggest ways of improving those systems. This paper proposes a novel method for mining UML Activity Diagrams from event logs. The method is based on ...
Added: October 28, 2019
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
Specific features of graphical-analytical representation of a process model of managing innovation activity in the framework of software development for import substitution projects
Kosorukov O., Kravets O., Utyusheva L., Journal of Theoretical and Applied Information Technology 2017 Vol. 95 No. 14 P. 3337–3351
Added: March 7, 2019
Discovering high-level BPMN process models from event data
Kalenkova A. A., Burattin A., de Leoni M. et al., Business Process Management Journal 2019 Vol. 25 No. 5 P. 995–1019
Purpose – The purpose of this paper is to demonstrate that process mining techniques can help to discover process models from event logs, using conventional high-level process modeling languages, such as Business Process Model and Notation (BPMN), leveraging their representational bias. Design/methodology/approach – The integrated discovery approach presented in this work is aimed to mine: control, data and resource ...
Added: October 15, 2018
Compositional Discovery of Workflow Nets from Event Logs Using Morphisms
Bernardinello L., Irina Lomazova, Roman Nesterov et al., , in: Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2018Vol. 2115: CEUR Workshop Proceedings.: CEUR-WS.org, 2018. P. 23–38.
This paper presents a modular approach to discover process models for multi-agent systems from event logs. System event logs are filtered according to individual agent behavior. We discover workflow nets for each agent using existing process discovery algorithms. We consider asynchronous interactions among agents. Given a specification of an interaction protocol, we propose a general ...
Added: June 21, 2018
'Learning high-level process models from event data', Doctor of Philosophy, Department of Mathematics and Computer Science
Kalenkova A. A., TU/e Eindhoven, 2018.
Information systems in different domains, such as healthcare, tourism, banking, government and others, record operational behavior in the form of event logs. The process mining discipline offers dozens of techniques to discover, analyze, and visualize processes running in information systems, based on their event logs. The representational bias (the language for processes representation) plays an ...
Added: June 14, 2018
Области эффективного применения нотации IDEF0 для задач описания бизнес-процессов The Areas of IDEFO Notation Effective Application for Tasks of Business-Processes Description
Serova E., Ананьев И. В., Вестник Санкт-Петербургского университета. Серия 8. Менеджмент 2008 Т. 8 № 2 С. 161–173
Standard of business processes modeling IDEF0 (Integrated Computer-aided Manufacturing Definition) is getting widespread in the world. IDEF0 is accepted as standard in  some international organizations. Special modeling software packages are developed and used actively. The authors of article propose to consider four areas,  in which  function modeling of business processes is applied and then to ...
Added: May 28, 2018
E-Government Services: Comparing Real and Expected User Behavior
Kalenkova A. A., Агеев А. А., Lomazova I. A. et al., , in: BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised PapersVol. 308.: Springer, 2018. P. 484–496.
E-government web services are becoming increasingly popular among citizens of various countries. Usually, to receive a service, the user has to perform a sequence of steps. This sequence of steps forms a service rendering process. Using process mining techniques this process can be discovered from the information system’s event logs. A discovered process model of ...
Added: October 11, 2017
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