Irina Pliss

According to our database, Irina Pliss authored at least 34 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Credibilistic Fuzzy Clustering Method Based on Evolutionary Approach of Crazy Wolfs in Online Mode.

Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss

Proceedings of The Sixth International Workshop on Computer Modeling and Intelligent Systems (CMIS 2023), 2023

2021

Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning.

Yevgeniy V. Bodyanskiy, Olha Chala, Anastasiia Deineko, Iryna Pliss

Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

Adaptive Learning of Evolving Hyper Basis Function Neural Network.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Oleksandr Zeleniy

Proceedings of The Fourth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2021), 2021

Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function.

Alina Shafronenko, Yevgeniy V. Bodyanskiy, Irina Pliss, Klymova Irina

Proceedings of the 11th International Conference on Advanced Computer Information Technologies, 2021

2-D Neural Network Based on M-neurons and its Learning.

Alina Albasova, Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss

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.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala

Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala, Anna Nortsova

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala

Proceedings of the Advances in Intelligent Systems and Computing V, 2020

Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning.

Yevgeniy V. Bodyanskiy, Olha Chala, Iryna Pliss, Anastasiia Deineko

Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

Evolving Neo-Fuzzy System for Distorted Data Online Processing.

Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Sergiy Popov

Proceedings of the 10th International Conference on Advanced Computer Information Technologies, 2020

Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala

Proceedings of the 10th International Conference on Advanced Computer Information Technologies, 2020

2019

Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Olha Chala

Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), 2019

The Extended Generalized Neo-Fuzzy Network and Its Online Learning in Image Recognition Problem.

Nonna Kulishova, Yevgeniy V. Bodyanskiy, Iryna Pliss

Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

2D-Deep Neural Network and Its Online Rapid Learning.

Yevgeniy V. Bodyanskiy, Olena O. Boiko, Iryna Pliss, Valentyna Volkova

Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning.

Yevgeniy V. Bodyanskiy, Anastasiia Deineko, Iryna Pliss, Valeriia Slepanska

Proceedings of the 1st International Workshop on Digital Content & Smart Multimedia (DCSMart 2019), 2019

Fuzzy Clusterization of Distorted by Missing Observations Data Sets Using Evolutionary Optimization.

Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Kateryna Patlan

Proceedings of the 9th International Conference on Advanced Computer Information Technologies, 2019

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

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 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

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Deep 2D-Neural Network and its Fast Learning.

Yevgeniy V. Bodyanskiy, Iryna Pliss, Daria S. Kopaliani, Olena O. Boiko

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Matrix Deep Neural Network and Its Rapid Learning in Data Science Tasks.

Iryna Pliss, Olena O. Boiko, Valentyna Volkova, Yevgeniy V. Bodyanskiy

Proceedings of the International Conference Advanced Computer Information Technologies, 2018

The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning.

Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova

Proceedings of the International Conference Advanced Computer Information Technologies, 2018

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

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

Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

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

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych

Proceedings of the Advances in Dependability Engineering of Complex Systems, 2017

2016

Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks.

Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Neo-fuzzy approach for medical diagnostics tasks in online-mode.

Iryna Perova, Iryna Pliss, Gennadiy Churyumov, Franklin M. Eze, Samer Mohamed Kanaan Mahmoud

Proceedings of the First International Conference on Data Stream Mining & Processing, 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

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

A fast learning algorithm of self-learning spiking neural network.

Yevgeniy V. Bodyanskiy, Artem Dolotov, Iryna Pliss, Mykola Malyar

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

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

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych

Proceedings of the Dependability Engineering and Complex Systems, 2016

2015

Kernel evolving neural networks for sequential principal component analysis and its adaptive learning algorithm.

Anastasiia Deineko, Yana V. Kutsenko, Iryna Pliss, Maksym Shalamov

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015

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

Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015

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

Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks.

Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Irina Pliss

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2003

An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems.

Yevgeniy V. Bodyanskiy, Peter Otto, Irina Pliss, Sergiy Popov

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003