Olena Vynokurova

发表

Adaptive controller for nonlinear dynamic non-stationary stochastic plant based on real time neo-fuzzy-model

Peter Pd Dr.-Ing. habil. Otto, Yevgeniy Dr.-Ing. habil. Bodyanskiy, Olena Vynokurova, 2010 .

Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions

Dmytro Peleshko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2018, DepCoS-RELCOMEX.

A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction

Dmytro Peleshko, Olena Vynokurova, Alexander Vlasenko, 2018, Data.

The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

Hybrid Deep Convolutional Neural Network with Multimodal Fusion

Olena Vynokurova, Dmytro Peleshko, Marta Peleshko, 2020, DSMP.

Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks

Yevgeniy Bodyanskiy, Pavlo Mulesa, Olena Vynokurova, 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

Least Squares Support Vector Machine Based on Wavelet-Neuron/ Uz wavelet neironiem balstītā minimālo kvadrātu atbalsta vektoru mašīna/ Машина опорных векторов наименьших квадратов на основе вэйвлет-нейрона

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2014 .

A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2019, Data.

Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network

Dmytro Peleshko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2017, EUSFLAT/IWIFSGN.

Deep evolving GMDH-SVM-neural network and its learning for Data Mining tasks

Olena Vynokurova, Yevgeniy V. Bodyanskiy, Iryna Pliss, 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning

Pavlo Mulesa, Dmytro Peleshko, Olena Vynokurova, 2017, Neurocomputing.

An Empirical Mode Decomposition Based Method to Synthesize Ensemble Multidimensional Gaussian Neuro-Fuzzy Models in Financial Forecasting

Olena Vynokurova, Alexander Vlasenko, Nataliia Vlasenko, 2020 .

Adaptive Fuzzy Clustering of Short Time Series with Unevenly Distributed Observations in Data Stream Mining Tasks

Olena Vynokurova, Oleg Kobylin, Yevgeniy Bodyanskiy, 2016 .

Hybrid Multidimensional Deep Convolutional Neural Network for Multimodal Fusion

Olena Vynokurova, Dmytro Peleshko, O. Vynokurova, 2020, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).

Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms

Dmytro Peleshko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2015, 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

Unraveling Bi-Lingual Multi-feature based Text Classification: A case study

Koen Vanhoof, Sergii Mashtalir, Volodymyr Mashtalir, 2017 .

An Enhancement of a Learning Procedure in Neuro-Fuzzy Model

Yevgeniy Bodyanskiy, Olena Vynokurova, Alexander Vlasenko, 2018, 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC).

Neo-Fuzzy Encoder and Its Adaptive Learning for Big Data Processing

Dmytro Peleshko, Olena Vynokurova, Yuriy Rashkevych, 2017 .

2D-Neo-Fuzzy Neuron and Its Adaptive Learning

Yevgeniy Bodyanskiy, Olena Vynokurova, Valentyna Volkova, 2018 .

Real-Time Flame Detection Using Hypotheses Generating Techniques

Dmytro Peleshko, Olena Vynokurova, Oleksii Maksymiv, 2019 .

A Hybrid Neuro-Fuzzy Model for Stock Market Time-Series Prediction

Olena Vynokurova, Alexander Vlasenko, Nataliia Vlasenko, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

Hybrid fuzzy-clustering algorithm of unevenly and asynchronously spaced time series in computer engineering

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2018, 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET).

Online Time Series Changes Detection Based on Neuro-Fuzzy Approach

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2019, Predictive Maintenance in Dynamic Systems.

Evolving spiking wavelet-neuro-fuzzy self-learning system

Olena Vynokurova, Yevgeniy V. Bodyanskiy, Artem Dolotov, 2014, Appl. Soft Comput..

An adaptive learning algorithm for a wavelet neural network

Olena Vynokurova, Yevgeniy V. Bodyanskiy, Irina Pliss, 2005, Expert Syst. J. Knowl. Eng..

Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis pdf

Pavlo Mulesa, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2016, ArXiv.

Robust Adaptive Identification of Non-Stationary Time Series Using Ensemble of Tuning Hybrid Adaptive Models

Yevgeniy Bodyanskiy, Pavlo Mulesa, Olena Vynokurova, 2016 .

Adaptive wavelet diagnostic neuro-fuzzy network for biomedical tasks

Iryna Perova, Yevgeniy Bodyanskiy, Ivan Izonin, 2018, 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET).

On-line Hybrid System of Computational Intelligence for Data Streams Adaptive Processing

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2015 .

A Hybrid EMD - Neuro-Fuzzy Model for Financial Time Series Analysis

Olena Vynokurova, Yuriy Rashkevych, Alexander Vlasenko, 2020, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).

Hybrid Adaptive Systems of Computational Intelligence and Their On-line Learning for Green IT in Energy Management Tasks

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2017 .

Diagnosis Wavelet-Neuro-Fuzzy System with Adaptive Wavelet Membership Function for Big Data Analysis Tasks

Yevgeniy Bodyanskiy, Pavlo Mulesa, Olena Vynokurova, 2016 .

Hybrid Wavelet-Neuro-Fuzzy Systems of Computational Intelligence in Data Mining Tasks

Oleksii K. Tyshchenko, Olena Vynokurova, Yevgeniy Bodyanskiy, 2017 .

Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder

Iryna Perova, Olena Vynokurova, Dmytro Peleshko, 2020, ISDMCI.

Learning wavelet neuron based on the RASP-function

Olena Vynokurova, Vitaliy Kolodyazhniy, Irina Pliss, 2004 .

Flexible Neo-fuzzy Neuron and Neuro-fuzzy Network for Monitoring Time Series Properties

Yevgeniy Bodyanskiy, Olena Vynokurova, Iryna Pliss, 2013 .

Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2015, 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT).

Adaptive robust models for identification of nonstationary systems in data stream mining tasks

Yevgeniy Bodyanskiy, Olena Vynokurova, Oleg Kobylin, 2016, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).

Hybrid Multidimensional Wavelet-Neuro-System and its Learning Using Cross Entropy Cost Function in Pattern Recognition

Dmytro Peleshko, Olena Vynokurova, Yuriy Borzov, 2018, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).

Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and its Rapid Learning

Olena Vynokurova, Yevgeniy V. Bodyanskiy, Olena O. Boiko, 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

Hybrid Type-2 Wavelet-neuro-fuzzy Network for Prediction of Business Processes

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2011 .

Least Squares Support Vector Machine Based on Wavelet-Neuron

Yevgeniy Bodyanskiy, Olena Vynokurova, Oleksandra Kharchenko, 2014 .

Hybrid Machine Learning System for Solving Fraud Detection Tasks

Olena Vynokurova, Dmytro Peleshko, Marta Peleshko, 2020, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).

Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2017, DepCoS-RELCOMEX.

Multidimensional Wavelet Neuron for Pattern Recognition Tasks in the Internet of Things Applications

Dmytro Peleshko, Olena Vynokurova, Semen Oskerko, 2018 .

Hybrid Generalised Additive Type-2 Fuzzy-Wavelet-Neural Network in Dynamic Data Mining

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2015 .

descriptions of classes (patterns), providing mass parallelism at data processing and significant acceleration of processes for solution making in the process of pattern recognition has been described.

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2008 .

HYBRID CASCADE NEURAL NETWORK BASED ON WAVELET-NEURON

Yevgeniy Bodyanskiy, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2011 .

Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning

Dmytro Peleshko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, 2016, DepCoS-RELCOMEX.

Single-frame image super-resolution based on singular square matrix operator

Natalia Lotoshynska, Ivan Izonin, Dmytro Peleshko, 2017, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).

ADAPTIVE WAVELET-NEURO-FUZZY NETWORK IN THE FORECASTING AND EMULATION TASKS

Olena Vynokurova, Iryna Pliss, O. Vynokurova, 2008 .

ITHEA MULTILAYER NEURO-FUZZY SYSTEM FOR SOLVING ON-LINE DIAGNOSTICS TASKS

Yevgeniy Bodyanskiy, Dmytro Peleshko, Olena Vynokurova, 2014 .