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ORCIDIrina Pliss
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Journal Articles
- 2017
[j3]Iryna Pliss, Iryna Perova
:
Diagnostic Neuro-Fuzzy System and Its Learning in Medical Data Mining Tasks in Conditions of Uncertainty about Numbers of Attributes and Diagnoses. Autom. Control. Comput. Sci. 51(6): 391-398 (2017)- 2012
- [j2]Yevgeniy V. Bodyanskiy, Irina Pliss, Valentyna Volkova:
Modified Probabilistic Neuro-fuzzy Network for Text Documents Processing. Int. J. Comput. 11(4): 391-396 (2012) - 2005
- [j1]Yevgeniy V. Bodyanskiy, Nataliya Lamonova, Irina Pliss, Olena Vynokurova:
An adaptive learning algorithm for a wavelet neural network. Expert Syst. J. Knowl. Eng. 22(5): 235-240 (2005)
Conference and Workshop Papers
- 2024
- [c34]Olha Chala, Ivan Izonin, Iryna Pliss, Yevgeniy V. Bodyanskiy:
Neuro-Fuzzy System with Adaptive Membership-Activation Functions for Pattern Recognition. ACIT 2024: 140-143 - [c33]Sergiy Popov, Iryna Pliss, Olexii Holovin, Oleh Zolotukhin, Larysa Chala:
Fuzzy Online Bagging Using Adaptive F-transform. ProfIT AI 2024: 369-376 - 2023
- [c32]Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss:
Credibilistic Fuzzy Clustering Method Based on Evolutionary Approach of Crazy Wolfs in Online Mode. CMIS 2023: 141-150 - 2021
- [c31]Alina Albasova, Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss:
2-D Neural Network Based on M-neurons and its Learning. ACIT 2021: 700-703 - [c30]Alina Shafronenko, Yevgeniy V. Bodyanskiy, Irina Pliss, Klymova Irina:
Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function. ACIT 2021: 704-707 - [c29]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Oleksandr Zeleniy:
Adaptive Learning of Evolving Hyper Basis Function Neural Network. CMIS 2021: 12-21 - [c28]Yevgeniy V. Bodyanskiy, Olha Chala, Anastasiia O. Deineko, Iryna Pliss:
Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning. CSIT (1) 2021: 5-8 - 2020
- [c27]Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Sergiy Popov:
Evolving Neo-Fuzzy System for Distorted Data Online Processing. ACIT 2020: 352-355 - [c26]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala:
Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning. ACIT 2020: 465-468 - [c25]Yevgeniy V. Bodyanskiy, Olha Chala, Iryna Pliss, Anastasiia O. Deineko:
Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning. CSIT (1) 2020: 96-99 - [c24]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala:
Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task. CSIT 2020: 371-382 - [c23]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala, Anna Nortsova:
Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task. DSMP 2020: 33-36 - [c22]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala:
Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning. IDDM 2020: 29-35 - 2019
- [c21]Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Kateryna Patlan:
Fuzzy Clusterization of Distorted by Missing Observations Data Sets Using Evolutionary Optimization. ACIT 2019: 217-220 - [c20]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Valeriia Slepanska:
Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning. DCSMart 2019: 14-22 - [c19]Nonna Kulishova, Yevgeniy V. Bodyanskiy, Iryna Pliss:
The Extended Generalized Neo-Fuzzy Network and Its Online Learning in Image Recognition Problem. IDAACS 2019: 34-39 - [c18]Yevgeniy V. Bodyanskiy, Olena O. Boiko, Iryna Pliss, Valentyna Volkova:
2D-Deep Neural Network and Its Online Rapid Learning. IDAACS 2019: 304-307 - [c17]Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala:
Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks. IDDM 2019: 1-15 - 2018
- [c16]Iryna Pliss, Olena O. Boiko, Valentyna Volkova, Yevgeniy V. Bodyanskiy:
Matrix Deep Neural Network and Its Rapid Learning in Data Science Tasks. ACIT 2018: 141-144 - [c15]Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova:
The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. ACIT 2018: 161-164 - [c14]Anastasiia O. Deineko, Polina Ye. Zhernova, Boris Gordon, Oleksandr O. Zayika, Iryna Pliss, Nelya Pabyrivska:
Data Stream Online Clustering Based on Fuzzy Expectation-Maximization Approach. DSMP 2018: 171-176 - [c13]Yevgeniy V. Bodyanskiy, Iryna Pliss, Daria S. Kopaliani, Olena O. Boiko:
Deep 2D-Neural Network and its Fast Learning. DSMP 2018: 519-523 - [c12]Yevgeniy V. Bodyanskiy, Galina Setlak, Olena Vynokurova, Iryna Pliss, Olena O. Boiko:
Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning. FedCSIS 2018: 29-33 - 2017
- [c11]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych:
Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. DepCoS-RELCOMEX 2017: 49-59 - [c10]Galina Setlak, Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova, Dmytro Peleshko, Illya Kobylin:
Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network. EUSFLAT/IWIFSGN (3) 2017: 308-315 - 2016
- [c9]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych:
Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. DepCoS-RELCOMEX 2016: 51-61 - [c8]Iryna Perova, Iryna Pliss, Gennadiy Churyumov, Franklin M. Eze, Samer Mohamed Kanaan Mahmoud:
Neo-fuzzy approach for medical diagnostics tasks in online-mode. DSMP 2016: 34-37 - [c7]Yevgeniy V. Bodyanskiy, Artem Dolotov, Iryna Pliss, Mykola Malyar:
A fast learning algorithm of self-learning spiking neural network. DSMP 2016: 104-107 - [c6]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Galina Setlak, Pavlo Mulesa:
Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks. DSMP 2016: 257-262 - [c5]Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss:
Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. FedCSIS 2016: 141-145 - 2015
- [c4]Anastasiia O. Deineko, Yana V. Kutsenko, Iryna Pliss, Maksym Shalamov:
Kernel evolving neural networks for sequential principal component analysis and its adaptive learning algorithm. CSIT 2015: 107-110 - [c3]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss:
Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. CSIT 2015: 111-114 - 2005
- [c2]Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Irina Pliss:
Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks. ICANN (2) 2005: 59-65 - 2003
- [c1]Yevgeniy V. Bodyanskiy, Peter Otto, Irina Pliss, Sergiy Popov:
An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems. KES 2003: 967-972
Coauthor Index
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