Banks bankruptcy risk forecasting with application of FNN. - Yuriy P. Zaychenko (CSIT, 2016)

Structure optimization of new generation networks. - Yuriy P. Zaychenko; Helen Zaychenko; Galib Hamidov (CISP-BMEI, 2017)

The application of fuzzy neural networks in corporations bankruptcy risk forecasting. - Michael Zgurovsky; Yuriy P. Zaychenko (CSIT (1), 2017)

Evolving GMDH-neuro-fuzzy system with small number of tuning parameters. - Yevgeniy V. Bodyanskiy; Olena O. Boiko; Yuriy P. Zaychenko; Galib Hamidov (ICNC-FSKD, 2017)

The Fundamentals of Computational Intelligence: System Approach - Mikhail Z. Zgurovsky; Yuriy P. Zaychenko (Springer, 2017)

Investigation of Fuzzy Inductive Modeling Method in Forecasting Problems. - Yuriy P. Zaychenko (CSIT (1), 2018)

Spline-Orthogonal Extended Neo-Fuzzy Neuron. - Yevgeniy V. Bodyanskiy; Yuriy P. Zaychenko; Nonna Kulishova; Galib Hamidov (CISP-BMEI, 2019)

Banks Bankruptcy Risk Forecasting with Application of Computational Intelligence Methods. - Yuriy P. Zaychenko; Michael Zgurovsky (CSIT (1), 2019)

Hybrid Fuzzy CNN Network in the Problem of Medical Images Classification and Diagnostics. - Yuriy P. Zaychenko; Galib Hamidov (ICNC-FSKD, 2019)

Multicriteria Decision-Making Problems Under Uncertainty and Their Solution. - Yuriy P. Zaychenko; Helen Zaichenko (ICNC-FSKD, 2019)

Fuzzy Portfolio Optimization Problem Under Uncertainty and Its Solution. - Yuriy P. Zaychenko; Helen Zaychenko (CSIT (1), 2020)

Investigation of Convolutional Neural Networks in the Tasks of Medical Images Analysis and Classification of Breast Tumors. - Yuriy P. Zaychenko; Helen Zaichenko; Galib Hamidov (CISP-BMEI, 2021)

Hybrid Neo-Fuzzy Neural Networks Based on Self-Organization and Their Application for Forecasting in Financial Sphere. - Yuriy P. Zaychenko; Galib Hamidov (COLINS, 2021)

Investigation of recurrent networks LSTM in the problem of Covid-19 forecasting. - Yuriy P. Zaychenko; Helen Zaichenko; Galib Hamidov (CSIT (1), 2021)

Investigation of Hybrid Neo-fuzzy Neural Networks in the Problem of Pandemic Forecasting. - Yuriy P. Zaychenko; Helen Zaychenko; Galib Hamidov (IntSol, 2021)

Hybrid GMDH Deep Learning Networks - State-of Art and New Prospective Trends. - Yuriy P. Zaychenko; Galib Hamidov (IT&I, 2021)

Investigation of hybrid deep learning networks and LSTM in the short term forecasting in financial sphere. - Yuriy P. Zaychenko; Oleksii Kuzmenko (CSIT, 2022)

Investigation of Artificial Intelligence Methods in the Short-Term and Middle-Term Forecasting in Financial Sphere. - Yuriy P. Zaychenko; Helen Zaichenko; Oleksii Kuzmenko (IT&I, 2022)

Application of Hybrid Neural Networks based on bagging and Group Method of Data Handling for forecasting. - Yevgeniy V. Bodyanskiy; Oleksii Kuzmenko; Helen Zaichenko; Yuriy P. Zaychenko (CSIT, 2023)

Investigation of Hybrid Deep Learning Networks in Forecasting Energy Supply. - Yuriy P. Zaychenko; Helen Zaichenko; Oleksii Kuzmenko (IntSol, 2023)