80 citations · 154 across the 10 of their papers we have counts for
15 papers
MADD: Multi-Agent Drug Discovery Orchestra
Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova +18
Hit identification is a central challenge in early drug discovery, traditionally requiring substantial experimental resources. Recent advances in artificial intelligence, particula…
Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines
Nikolay O. Nikitin, Maiia Pinchuk, Valerii Pokrovskii +7
Automated machine learning (AutoML) systems propose an end-to-end solution to a given machine learning problem, creating either fixed or flexible pipelines. Fixed pipelines are tas…
Generative Design of Physical Objects using Modular Framework
Nikita O. Starodubcev, Nikolay O. Nikitin, Konstantin G. Gavaza +3
In recent years generative design techniques have become firmly established in numerous applied fields, especially in engineering. These methods are demonstrating intensive growth…
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks
Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
In the paper, a multi-objective evolutionary surrogate-assisted approach for the fast and effective generative design of coastal breakwaters is proposed. To approximate the computa…
Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering
Petr Andriushchenko, Irina Deeva, Anna Bubnova +4
The work focuses on the modelling and imputation of oil and gas reservoirs parameters, specifically, the problem of predicting the oil recovery factor (RF) using Bayesian networks…
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…