80 citations · 141 across the 10 of their papers we have counts for
10 papers
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov +6
The effectiveness of the machine learning methods for real-world tasks depends on the proper structure of the modeling pipeline. The proposed approach is aimed to automate the desi…
The multi-objective optimisation of breakwaters using evolutionary approach
Nikolay O. Nikitin, Iana S. Polonskaia, Anna V. Kalyuzhnaya +1
In engineering practice, it is often necessary to increase the effectiveness of existing protective constructions for ports and coasts (i. e. breakwaters) by extending their config…
On Classification Issues within Ensemble-Based Complex System Simulation Tasks
Sergey V. Kovalchuk, Aleksey V. Krikunov, Konstantin V. Knyazkov +2
Contemporary tasks of complex system simulation are often related to the issue of uncertainty management. It comes from the lack of information or knowledge about the simulated sys…
A Technology for BigData Analysis Task Description using Domain-Specific Languages
Sergey V. Kovalchuk, Artem V. Zakharchuk, Jiaqi Liao +2
The article presents a technology for dynamic knowledge-based building of Domain-Specific Languages (DSL) to describe data-intensive scientific discovery tasks using BigData techno…
Knowledge-based Expressive Technologies within Cloud Computing Environments
Sergey V. Kovalchuk, Pavel A. Smirnov, Konstantin V. Knyazkov +2
Presented paper describes the development of comprehensive approach for knowledge processing within e-Sceince tasks. Considering the task solving within a simulation-driven approac…
Distributed simulation of city inundation by coupled surface and subsurface porous flow for urban flood decision support system
V. V. Krzhizhanovskaya, N. B. Melnikova, A. M. Chirkin +3
We present a decision support system for flood early warning and disaster management. It includes the models for data-driven meteorological predictions, for simulation of atmospher…
Virtual Simulation Objects Concept as a Framework for System-Level Simulation
Sergey V. Kovalchuk, Pavel A. Smirnov, Sergey S. Kosukhin +1
This paper presents Virtual Simulation Objects (VSO) concept which forms theoretical basis for building tools and framework that is developed for system-level simulations using exi…
Continuous Models of Epidemic Spreading in Heterogeneous Dynamically Changing Random Networks
S. V. Ivanov, A. V. Boukhanovsky, P. M. A. Sloot
Modeling spreading processes in complex random networks plays an essential role in understanding and prediction of many real phenomena like epidemics or rumor spreading. The dynami…
Inference of the Russian drug community from one of the largest social networks in the Russian Federation
L. J. Dijkstra, A. V. Yakushev, P. A. C. Duijn +2
The criminal nature of narcotics complicates the direct assessment of a drug community, while having a good understanding of the type of people drawn or currently using drugs is vi…
Simulating City-level Airborne Infectious Diseases
Mei Shan, Zhou Xuan, Zhu Yifan +4
With the exponential growth in the world population and the constant increase in human mobility, the danger of outbreaks of epidemics is rising. Especially in high density urban ar…