The Extended Multidimensional Neo-Fuzzy System and Its Fast Learning in Pattern Recognition Tasks. - Yevgeniy V. Bodyanskiy; Nonna Kulishova; Olha Chala (Data, 2018)

Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (IDDM, 2019)

Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (ACIT, 2020)

Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning. - Yevgeniy V. Bodyanskiy; Olha Chala; Iryna Pliss; Anastasiia O. Deineko (CSIT (1), 2020)

Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (CSIT, 2020)

Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala; Anna Nortsova (DSMP, 2020)

Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Olha Chala (IDDM, 2020)

Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning. - Yevgeniy V. Bodyanskiy; Olha Chala; Anastasiia O. Deineko; Iryna Pliss (CSIT (1), 2021)

Generalized Neo-Fuzzy-Neuron with Membership Functions of Special Type in Medical Diagnostics. - Yevgeniy V. Bodyanskiy; Olha Chala (IDDM, 2021)

Neo-Fuzzy System With Special Type Membership Functions Adaptation and Fast Tuning Of Synaptic Weights In Emotion Recognition Task. - Yevgeniy V. Bodyanskiy; Nonna Kulishova; Olha Chala (IntSol, 2021)

Adaptive Least-Squares Support Vector Machine and its Combined Learning-Selflearning in Image Recognition Task. - Yevgeniy V. Bodyanskiy; Sergiy Popov; Filip Brodetskyi; Olha Chala (CSIT, 2022)

Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks. - Yevgeniy V. Bodyanskiy; Olha Chala; Ivan Izonin; Sergiy Popov (IDDM, 2022)

Stacking Neuro-Neo-Fuzzy System for Pattern Recognition and Its Online Learning. - Yevgeniy V. Bodyanskiy; Olha Chala (ACIT, 2023)

Representation of Knowledge by Temporal Cases in Humanitarian Response. - Viktoriia Dyomina; Tetiana Bilova; Iryna Pobizhenko; Olha Chala; Tetiana Domina (COLINS (3), 2023)

Matrix Hyper-Basis Function Neural Network and Its Online Learning. - Olha Chala; Yevgeniy V. Bodyanskiy; Anatoliy Sachenko; Maciej Dobrowolski (IDAACS, 2023)

An improved ANN-based global-local approximation for small medical data analysis. - Ivan Izonin; Roman Tkachenko; Roman Bliakhar; Michal Kovác; Yevgeniy V. Bodyanskiy; Olha Chala (EAI Endorsed Trans. Pervasive Health Technol., 2023)

Neuro-Fuzzy System with Adaptive Membership-Activation Functions for Pattern Recognition. - Olha Chala; Ivan Izonin; Iryna Pliss; Yevgeniy V. Bodyanskiy (ACIT, 2024)

Artificial Intelligence in Medicine: Small Data Approach. - Ivan Izonin; Roman Tkachenko; Iryna Pliss; Yaroslav Tolstyak; Kyrylo Yemets; Olha Chala; Myroslav Havryliuk; Stéphane Chrétien (IDDM, 2024)

Probabilistic Neuro-Fuzzy System Based on Greed Partitioning Input Space and It's Fast Combined Learning. - Olha Chala; Anatoliy Sachenko; Yevgeniy V. Bodyanskiy; Leonid Bytsyura; Agnieszka Molga (IS, 2024)

Adaptive Bagging of Hybrid Systems of Computational Intelligence Using Metamodel Online Optimal Learning. - Yevgeniy V. Bodyanskiy; Olha Chala; Iryna Pliss; Sergiy Popov (ISDMCI (2), 2024)

Ontologically supported case-based reasoning for decision making in humanitarian response processes. - Olha Chala; Tetiana Bilova; Viktoriia Dyomina; Iryna Pobizhenko; Tetiana Domina (MoDaST, 2024)

A Modified Neuro-fuzzy Counterpropagation Network and Its Fast Adaptive Learning. - Sergiy Popov; Iryna Pliss; Olha Chala; Olexii Holovin (CMIS, 2025)