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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
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
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
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
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
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
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
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
Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.
We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 2025
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
Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.
Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...
Added: October 5, 2025
Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...
Added: October 5, 2025
Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.
Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...
Added: September 23, 2025
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.
We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon
by not intersecting diagonals. ...
Added: September 17, 2025
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
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
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
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
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
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
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
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
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
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
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