Serge Olszewski

According to our database, Serge Olszewski authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Novel Methodology for Detecting Effective Features in Patients with Multiple Myeloma.

Malgorzata Szatkowska, Waldemar Wójcik, Wojciech Legiec, Iryna Lurie, Serge Olszewski, Volodymyr Lytvynenko, Mariia Voronenko

Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023

Regression Modeling for Monitoring Organochlorine Pesticide Residues.

Serge Olszewski, Iryna Lurie, Volodymyr Lytvynenko, Violetta Demchenko, Mariia Voronenko, Natalia Kornilovska, Oleg Boskin

Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023

2021

Streaming Algorithm to the Decomposition of a Polyatomic Molecules Mass Spectra on the Polychlorinated Biphenyls Molecule Example.

Serge Olszewski, Violetta Demchenko, Eva Zaets, Volodymyr Lytvynenko, Irina Lurie, Oleg Boskin, Sergiy Gnatyuk

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

2020

The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering.

Iryna Lurie, Volodymyr Lytvynenko, Serge Olszewski, Mariia Voronenko, Alexander I. Kornelyuk, Ulzhalgas Zhunissova, Oleg Boskin

Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020

Modeling and Predicting the Organochlorine Pesticides Concentration in the Child's Body Based on their Accumulation in the Mother's Body.

Violetta Demchenko, Serge Olszewski, Mariia Voronenko, Eva Zaets, Nataliia Savina, Iryna Lurie, Volodymyr Lytvynenko

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.

Iryna Lurie, Volodymyr Lytvynenko, Serge Olszewski, Mariia Voronenko, Waldemar Wóicik, Oleg Boskin, Ulzhalgas Zhunissova, Michael Sherstiuk

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.

Serge Olszewski, Yeva Zajets, Violetta Demchenko, Oleg Boskin, Mariia Voronenko, Volodymyr Lytvynenko, Iryna Perova, Dmitry Stepanchikov

DSMP (Selected Papers), 2020

2019

Some Features of the Numerical Deconvolution of Mixed Molecular Spectra.

Serge Olszewski, Pawel Komada, Andrzej Smolarz, Volodymyr Lytvynenko, Nataliia Savina, Mariia Voronenko, Svitlana Vyshemyrska, Anton Omelchuk, Iryna Lurie

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019

Application of a Combined Approach for Predicting a Peptide-Protein Binding Affinity Using Regulatory Regression Methods with Advance Reduction of Features.

Oleksandr Murzenko, Serge Olszewski, Oleg Boskin, Irina Lurie, Nataliia Savina, Mariia Voronenko, Volodymyr Lytvynenko

Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019