Anastasiia O. Deineko

Orcid: 0000-0002-3279-3135

Affiliations:
  • Kharkiv National University of Radio Electronics, Ukraine


According to our database1, Anastasiia O. Deineko authored at least 23 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Deep Neural Network with Adaptive Parametric Rectified Linear Units and its Fast Learning.
Int. J. Comput., 2022

2021
Kernel Online System for Fast Principal Component Analysis and its Adaptive Learning.
Int. J. Comput., 2021

Convolutional hyper basis function neural network and its online learning in the image recognition task.
Proceedings of the 2nd International Workshop on Intelligent Information Technologies & Systems of Information Security with CEUR-WS, 2021

Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning.
Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

Adaptive Learning of Evolving Hyper Basis Function Neural Network.
Proceedings of The Fourth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2021), 2021

2-D Neural Network Based on M-neurons and its Learning.
Proceedings of the 11th International Conference on Advanced Computer Information Technologies, 2021

2020
Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning.
Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

Adaptive Least-Squares Support Vector Machine and Its Online Learning.
Proceedings of the 2nd International Workshop on Information-Communication Technologies & Embedded Systems (ICTES 2020) Mykolaiv, 2020

Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task.
Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Multilayer Radial-basis Function Network and its Learning.
Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task.
Proceedings of the Advances in Intelligent Systems and Computing V, 2020

Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning.
Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning.
Proceedings of the 10th International Conference on Advanced Computer Information Technologies, 2020

2019
Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks.
Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), 2019

Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning.
Proceedings of the 1st International Workshop on Digital Content & Smart Multimedia (DCSMart 2019), 2019

2018
Kernel Fuzzy Kohonen's Clustering Neural Network and It's Recursive Learning.
Autom. Control. Comput. Sci., 2018

Adaptive Kernel Data Streams Clustering Based on Neural Networks Ensembles in Conditions of Uncertainty About Amount and Shapes of Clusters.
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Data Stream Online Clustering Based on Fuzzy Expectation-Maximization Approach.
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

2017
On-line kernel clustering based on the general regression neural network and T. Kohonen's self-organizing map.
Autom. Control. Comput. Sci., 2017

2016
An Evolving Neuro-Fuzzy System with Online Learning/Self-learning.
CoRR, 2016

Data streams fast EM-fuzzy clustering based on Kohonen's self-learning.
Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

2015
An evolving radial basis neural network with adaptive learning of its parameters and architecture.
Autom. Control. Comput. Sci., 2015

Kernel evolving neural networks for sequential principal component analysis and its adaptive learning algorithm.
Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015


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