Nikolay O. Nikitin

Orcid: 0000-0002-6839-9957

According to our database1, Nikolay O. Nikitin authored at least 32 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Integration of evolutionary automated machine learning with structural sensitivity analysis for composite pipelines.
Knowl. Based Syst., 2024

GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolutionary Automated Machine Learning for Light-Weight Multi-Modal Pipelines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Lightweight Neural Ensemble Approach for Arctic Sea Ice Forecasting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Generative design of physical objects using modular framework.
Eng. Appl. Artif. Intell., March, 2023

Automated machine learning approach for time series classification pipelines using evolutionary optimization.
Knowl. Based Syst., 2023

Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines.
CoRR, 2023

Surrogate Modelling for Sea Ice Concentration using Lightweight Neural Ensemble.
CoRR, 2023

Interpretable Structural Analysis for Evolutionary Generative Design of Coastal Breakwaters.
Proceedings of the Optimization, Learning Algorithms and Applications, 2023

Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea.
Comput. Geosci., 2022

Automated evolutionary approach for the design of composite machine learning pipelines.
Future Gener. Comput. Syst., 2022

Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering.
CoRR, 2022

Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Evolutionary Automated Machine Learning for Multi-Scale Decomposition and Forecasting of Sensor Time Series.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning.
Entropy, 2021

Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models.
Proceedings of the Optimization, Learning Algorithms and Applications, 2021

Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks.
Proceedings of the Computational Science - ICCS 2021, 2021

Generative design of microfluidic channel geometry using evolutionary approach.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Multi-Objective Evolutionary Design of Composite Data-Driven Models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
A Machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI.
Remote. Sens., 2020

The multi-objective optimisation of breakwaters using evolutionary approach.
CoRR, 2020

Automatic evolutionary learning of composite models with knowledge enrichment.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model.
CoRR, 2019

Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model.
Proceedings of the Computational Science - ICCS 2019, 2019

Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation.
CoRR, 2018

A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification.
Complex., 2018

Evolutionary Ensemble Approach for Behavioral Credit Scoring.
Proceedings of the Computational Science - ICCS 2018, 2018

Precedent-Based Approach for the Identification of Deviant Behavior in Social Media.
Proceedings of the Computational Science - ICCS 2018, 2018

Towards management of complex modeling through a hybrid evolutionary identification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018


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