Oleg Boskin

Orcid: 0000-0001-7391-0986

According to our database1, Oleg Boskin authored at least 11 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
Regression Modeling for Monitoring Organochlorine Pesticide Residues.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023

2020
The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering.
Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020

Application of Inductive Bayesian Hierarchical Clustering Algorithm to Identify Brain Tumors.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2020

Expansion of the Capabilities of Chromatography-Mass Spectrometry Due to the Numerical Decomposition of the Signal with the Mutual Superposition of Mass Spectra.
DSMP (Selected Papers), 2020

Event-Based Approach to Multi-Hazard Risk Assessment.
Proceedings of the 1st International Workshop on Computational & Information Technologies for Risk-Informed Systems (CITRisk 2020) co-located with XX International scientific and technical conference on Information Technologies in Education and Management (ІТЕМ 2020), 2020

2019
Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019

Using a Bayesian Network to Assess the Atmospheric Pollution Influence on Immunological Parameters.
Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), 2019

About Innovation-Investment Designing of Complex Systems by Inductive Technology of System Information-Analytical Research.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

Application of a Combined Approach for Predicting a Peptide-Protein Binding Affinity Using Regulatory Regression Methods with Advance Reduction of Features.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

Development, Validation and Testing of the Bayesian Network of Educational Institutions Financing.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

Hybrid Immune Algorithms in the Gene Regulatory Networks Reconstruction Problems.
Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), 2019


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