The Use of Inductive Methods for Determination of the Binding Affinity of Interacting Biological Molecules. - Iryna Lurie; Volodymyr Lytvynenko; Volodymyr Osypenko; Maria Voronenko (CSIT (1), 2018)

Hybrid Immune Algorithms in the Gene Regulatory Networks Reconstruction Problems. - Andrii Fefelov; Volodymyr Lytvynenko; Ali Taif; Natalia Savina; Maria Voronenko; Irina Lurie; Oleg Boskin (CMIS, 2019)

Inductive Technology of the Objective Cauterization of Enterprise's Economic Indicators of Ukraine. - Irina Lurie; Andrii Podlevskyi; Natalia Savina; Maria Voronenko; Anna Pashnina; Volodymyr Lytvynenko (CMIS, 2019)

The use of Bayesian methods in the task of localizing the narcotic substances distribution. - Volodymyr Lytvynenko; Irina Lurie; Mariia Voronenko; Andrey Fefelov; Nataliia Savina; Ivan Lopushynskyi; Jan Krejci; Petro Vorona (CSIT (2), 2019)

Dynamic Bayesian Networks in the Problem of Localizing the Narcotic Substances Distribution. - Volodymyr Lytvynenko; Nataliia Savina; Jan Krejci; Andrey Fefelov; Iryna Lurie; Mariia Voronenko; Ivan Lopushynskyi; Petro Vorona (CSIT, 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 (IDAACS, 2019)

About Innovation-Investment Designing of Complex Systems by Inductive Technology of System Information-Analytical Research. - Volodymyr Osypenko; Irina Lurie; Maryna Yakobchuk; Nataliia Savina; Oleg Boskin; Volodymyr Lytvynenko (IDAACS, 2019)

Using a Bayesian Network to Assess the Atmospheric Pollution Influence on Immunological Parameters. - Volodymyr Lytvynenko; Mariia Voronenko; Serge Sitalo; Oleg Boskin; Iryna Lurie; Natalia Savina; Yaroslav Tanasiichuk; Nataliia Krugla (IDDM, 2019)

Protein Tertiary Structure Prediction with Hybrid Clonal Selection and Differential Evolution Algorithms. - Iryna Fefelova; Andrey Fefelov; Volodymyr Lytvynenko; Róza Dzierzak; Iryna Lurie; Nataliia Savina; Mariia Voronenko; Svitlana Vyshemyrska (ISDMCI, 2019)

Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting. - Volodymyr Lytvynenko; Waldemar Wójcik; Andrey Fefelov; Iryna Lurie; Nataliia Savina; Mariia Voronenko; Oleg Boskin; Saule Smailova (ISDMCI, 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 (ISDMCI, 2019)

Two Step Density-Based Object-Inductive Clustering Algorithm. - Volodymyr Lytvynenko; Irina Lurie; Jan Krejci; Mariia Voronenko; Natalia Savina; Mohamed Ali Taif (MoMLeT, 2019)

Detecting Items with the Biggest Weight Based on Neural Network and Machine Learning Methods. - Vitaliy Danylyk; Victoria Vysotska; Vasyl Lytvyn; Svitlana Vyshemyrska; Iryna Lurie; Mykhailo Luchkevych (DSMP (Selected Papers), 2020)

Forest Cover Type Classification Based on Environment Characteristics and Machine Learning Technology. - Vasyl Kiyko; Vasyl Lytvyn; Lyubomyr Chyrun; Svitlana Vyshemyrska; Iryna Lurie; Mykhailo Hrubel (DSMP (Selected Papers), 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 (ISDMCI, 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 (MoMLeT+DS, 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 (MoMLeT+DS, 2020)

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 (ISDMCI, 2021)

A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product. - Mariia Voronenko; Elizaveta Mikhailova; Nataliia Savina; Iryna Lurie; Volodymyr Lytvynenko (ACIT, 2023)

Regression Modeling for Monitoring Organochlorine Pesticide Residues. - Serge Olszewski; Iryna Lurie; Volodymyr Lytvynenko; Violetta Demchenko; Mariia Voronenko; Natalia Kornilovska; Oleg Boskin (MoMLeT+DS, 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 (MoMLeT+DS, 2023)

Application of Mutual Information Estimation Methods for Feature Selection in Regression Problems of Aviation Traffic Forecasting. - Volodymyr Lytvynenko; Oleksandr Naumov; Mariia Voronenko; Olha Naumov; Iryna Lurie; Petro Radovenchuk (ACIT, 2024)

Comparing the Effectiveness of Generative Adversarial Networks for Clustering Tasks. - Volodymyr Lytvynenko; Serge Olszewski; Volodymyr Osypenko; Iryna Lurie; Violetta Demchenko; Dariia Dontsova (CSIT, 2024)