A Human Communication Network Model. - Oksana Pichugina; Babak Farzad (ICTERI, 2016)

Optimization on Combinatorial Configurations Using Genetic Algorithms. - Sergiy Yakovlev; Oleksii Kartashov; Oksana Pichugina (CMIS, 2019)

On Constrained Optimization of Polynomials on Permutation Set. - Sergiy Yakovlev; Oksana Pichugina (CMIS, 2019)

Quadratic Optimization Models and Convex Extensions on Permutation Matrix Set. - Oksana Pichugina; Sergiy Yakovlev (CSIT, 2019)

A Spherical Cutting-plane Method with Applications in Multimedia Flow Management. - Oksana Pichugina; Nadezhda Muravyova (DCSMart, 2019)

Euclidean Combinatorial Configurations: Continuous Representations and Convex Extensions. - Oksana Pichugina; Sergiy Yakovlev (ISDMCI, 2019)

A Horizontal Method of Localizing Values of a Linear Function in Permutation-Based Optimization. - Liudmyla Koliechkina; Oksana Pichugina (WCGO, 2019)

New Bounds in Linear Combinatorial Optimization. - Oksana Pichugina (ICST, 2020)

The Polyhedral-Surface Cutting-Plane Method for Linear Combinatorial Optimization. - Oksana Pichugina; Nadezhda Muravyova (ICST, 2020)

A Lower Bound for Optimization of Arbitrary Function on Permutations. - Sergiy Yakovlev; Oksana Pichugina; Liudmyla Koliechkina (ISDMCI, 2020)

Attributed Networks Formation Models with Application in Social Network Analysis. - Oksana Pichugina (COLINS, 2021)

Permutation-Matrix Approach to Optimal Assignment Design. - Olha Matsiy; Oksana Pichugina (IntSol, 2021)

Clustering Time Series of Complex Dynamics by Features. - Lyudmyla Kirichenko; Oksana Pichugina; Hlib Zinchenko (IT&I, 2021)

A Penalty Approach to Linear Programs with Many Two-Sided Constraints. - Petro Stetsyuk; Andreas Fischer 004; Oksana Pichugina (MOTOR, 2021)

Hybrid Approaches to Solving Classification Problems with Constraints. - Oksana Pichugina; Olha Matsiy (ProfIT AI, 2021)

Software Implementation of One VLSI Placement Optimization Problem. - Oksana Pichugina (COLINS, 2022)

Routing Problems in VLSI Design: New Mathematical Models with Practical and Software Implementation. - Oksana Pichugina; Olha Matsiy (COLINS, 2022)

Application of Wavelet Transform for Machine Learning Classification of Time Series. - Lyudmyla Kirichenko; Oksana Pichugina; Tamara Radivilova; Kyrylo Pavlenko (ISDMCI, 2022)

Trend Detection in Short Time Series Using Discrete Wavelet Transform. - Lyudmyla Kirichenko; Tamara Radivilova; Oksana Pichugina; Larysa Chala; Danyil Khandak (IT&I, 2022)

Evolutionary-Fragmentary Model of the One-Depot Vehicle Routing Problem. - Igor Kozin; Oksana Pichugina (ProfIT AI, 2022)

Binary classification: Ensemble Methods Utilizing Decision Theory Tools. - Oksana Pichugina; Lyudmyla Kirichenko; Tamara Radivilova (ProfIT AI, 2022)

Performance Comparison of Unbounded Knapsack Problem Formulations. - Oksana Pichugina; Olha Matsiy; Yuriy Skob (COLINS (3), 2023)

Trap Detection in Brownian Particle Trajectories Using Machine Learning Clustering Methods. - Lyudmyla Kirichenko; Daryna Khatsko; Oksana Pichugina (CSIT, 2023)

Constraint Community Detection: modelling approaches with applications. - Oksana Pichugina; Lyudmyla Kirichenko; Yurii Skob; Olha Matsiy (ProfIT AI, 2023)

Mathematical Modelling of Gas Admixtures Release, Dispersion and Explosion in Open Atmosphere. - Yurii Skob; Sergiy Yakovlev; Oksana Pichugina; Mykola Kalinichenko; Kyryl Korobchynskyi (ProfIT AI, 2023)

Exploring Stochastic Time Series Structure Through Wavelet Entropy. - Lyudmyla Kirichenko; Oksana Pichugina; Larysa Chala; Tamara Radivilova (ISDMCI (1), 2024)

Multicriteria Linear Assignment Problem in Healthcare Improvement. - Oksana Pichugina; Lyudmyla Kirichenko; Yurii Skob (ProfIT AI, 2024)

Mathematical Modeling of Pressure Effects from Hydrogen Explosion. - Yurii Skob; Oleksandr Khimich; Oksana Pichugina; Andrii Hulianytskyi; Oleksii Kartashov (ProfIT AI, 2024)