An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems. - Yevgeniy V. Bodyanskiy; Peter Otto; Irina Pliss; Sergiy Popov (KES, 2003)

Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks. - Yevgeniy V. Bodyanskiy; Yevgen Gorshkov; Vitaliy Kolodyazhniy; Irina Pliss (ICANN (2), 2005)

An adaptive learning algorithm for a wavelet neural network. - Yevgeniy V. Bodyanskiy; Nataliya Lamonova; Irina Pliss; Olena Vynokurova (Expert Syst. J. Knowl. Eng., 2005)

Modified Probabilistic Neuro-fuzzy Network for Text Documents Processing. - Yevgeniy V. Bodyanskiy; Irina Pliss; Valentyna Volkova (Int. J. Comput., 2012)

Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Galina Setlak; Iryna Pliss (CSIT, 2015)

Kernel evolving neural networks for sequential principal component analysis and its adaptive learning algorithm. - Anastasiia O. Deineko; Yana V. Kutsenko; Iryna Pliss; Maksym Shalamov (CSIT, 2015)

Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss; Dmytro Peleshko; Yuriy Rashkevych (DepCoS-RELCOMEX, 2016)

A fast learning algorithm of self-learning spiking neural network. - Yevgeniy V. Bodyanskiy; Artem Dolotov; Iryna Pliss; Mykola Malyar (DSMP, 2016)

Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss; Galina Setlak; Pavlo Mulesa (DSMP, 2016)

Neo-fuzzy approach for medical diagnostics tasks in online-mode. - Iryna Perova; Iryna Pliss; Gennadiy Churyumov; Franklin M. Eze; Samer Mohamed Kanaan Mahmoud (DSMP, 2016)

Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. - Galina Setlak; Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss (FedCSIS, 2016)

Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. - Yevgeniy V. Bodyanskiy; Olena Vynokurova; Iryna Pliss; Dmytro Peleshko; Yuriy Rashkevych (DepCoS-RELCOMEX, 2017)

Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network. - Galina Setlak; Yevgeniy V. Bodyanskiy; Iryna Pliss; Olena Vynokurova; Dmytro Peleshko; Illya Kobylin (EUSFLAT/IWIFSGN (3), 2017)

Diagnostic Neuro-Fuzzy System and Its Learning in Medical Data Mining Tasks in Conditions of Uncertainty about Numbers of Attributes and Diagnoses. - Iryna Pliss; Iryna Perova (Autom. Control. Comput. Sci., 2017)

The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. - Yevgeniy V. Bodyanskiy; Iryna Pliss; Olena Vynokurova (ACIT, 2018)

Matrix Deep Neural Network and Its Rapid Learning in Data Science Tasks. - Iryna Pliss; Olena O. Boiko; Valentyna Volkova; Yevgeniy V. Bodyanskiy (ACIT, 2018)

Deep 2D-Neural Network and its Fast Learning. - Yevgeniy V. Bodyanskiy; Iryna Pliss; Daria S. Kopaliani; Olena O. Boiko (DSMP, 2018)

Data Stream Online Clustering Based on Fuzzy Expectation-Maximization Approach. - Anastasiia O. Deineko; Polina Ye. Zhernova; Boris Gordon; Oleksandr O. Zayika; Iryna Pliss; Nelya Pabyrivska (DSMP, 2018)

Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning. - Yevgeniy V. Bodyanskiy; Galina Setlak; Olena Vynokurova; Iryna Pliss; Olena O. Boiko (FedCSIS, 2018)

Fuzzy Clusterization of Distorted by Missing Observations Data Sets Using Evolutionary Optimization. - Alina Shafronenko; Yevgeniy V. Bodyanskiy; Iryna Pliss; Kateryna Patlan (ACIT, 2019)

Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Valeriia Slepanska (DCSMart, 2019)

2D-Deep Neural Network and Its Online Rapid Learning. - Yevgeniy V. Bodyanskiy; Olena O. Boiko; Iryna Pliss; Valentyna Volkova (IDAACS, 2019)

The Extended Generalized Neo-Fuzzy Network and Its Online Learning in Image Recognition Problem. - Nonna Kulishova; Yevgeniy V. Bodyanskiy; Iryna Pliss (IDAACS, 2019)

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)

Evolving Neo-Fuzzy System for Distorted Data Online Processing. - Alina Shafronenko; Yevgeniy V. Bodyanskiy; Iryna Pliss; Sergiy Popov (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)

2-D Neural Network Based on M-neurons and its Learning. - Alina Albasova; Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss (ACIT, 2021)

Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function. - Alina Shafronenko; Yevgeniy V. Bodyanskiy; Irina Pliss; Klymova Irina (ACIT, 2021)

Adaptive Learning of Evolving Hyper Basis Function Neural Network. - Yevgeniy V. Bodyanskiy; Anastasiia O. Deineko; Iryna Pliss; Oleksandr Zeleniy (CMIS, 2021)

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)

Credibilistic Fuzzy Clustering Method Based on Evolutionary Approach of Crazy Wolfs in Online Mode. - Alina Shafronenko; Yevgeniy V. Bodyanskiy; Iryna Pliss (CMIS, 2023)

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

An Approach Towards Reducing Training Time of the Input Doubling Method via Clustering for Middle-Sized Data Analysis. - Ivan Izonin; Roman Tkachenko; Kyrylo Yemets; Michal Gregus; Yevhen Tomashy; Iryna Pliss (FNC/MobiSPC/SEIT, 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)

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)

Fuzzy Online Bagging Using Adaptive F-transform. - Sergiy Popov; Iryna Pliss; Olexii Holovin; Oleh Zolotukhin; Larysa Chala (ProfIT AI, 2024)

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

Adaptive neo-fuzzy bagging metamodel and its fast learning. - Yevgeniy V. Bodyanskiy; Ivan Izonin; Iryna Pliss; Olha Chala; Sergiy Popov (ISW-CoLInS, 2025)