A multidimensional extended neo-fuzzy neuron for facial expression recognition Z Hu, YV Bodyanskiy, NY Kulishova, OK Tyshchenko International Journal of Intelligent Systems and Applications (IJISA) 9 (9 …, 2017 | 77 | 2017 |
Video shots’ matching via various length of multidimensional time sequences Z Hu, SV Mashtalir, OK Tyshchenko, MI Stolbovyi International Journal of Intelligent Systems and Applications 9 (11), 10, 2017 | 50 | 2017 |
Fuzzy clustering data arrays with omitted observations Z Hu, YV Bodyanskiy, OK Tyshchenko, VM Tkachov International Journal of Intelligent Systems and Applications (IJISA) 9 (6 …, 2017 | 41 | 2017 |
Adaptive learning of an evolving cascade neo-fuzzy system in data stream mining tasks YV Bodyanskiy, OK Tyshchenko, DS Kopaliani Evolving Systems 7 (2), 107-116, 2016 | 41 | 2016 |
An evolving connectionist system for data stream fuzzy clustering and its online learning YV Bodyanskiy, OK Tyshchenko, DS Kopaliani Neurocomputing 262, 41-56, 2017 | 38 | 2017 |
Fuzzy clustering data given in the ordinal scale Z Hu, YV Bodyanskiy, OK Tyshchenko, VO Samitova arXiv preprint arXiv:1701.03571, 2017 | 36 | 2017 |
Possibilistic fuzzy clustering for categorical data arrays based on frequency prototypes and dissimilarity measures Z Hu, YV Bodyanskiy, OK Tyshchenko, VO Samitova International Journal of Intelligent Systems and Applications 9 (5), 55, 2017 | 34 | 2017 |
Fuzzy clustering data given on the ordinal scale based on membership and likelihood functions sharing Z Hu, YV Bodyanskiy, OK Tyshchenko, VO Samitova arXiv preprint arXiv:1702.01200, 2017 | 32 | 2017 |
An extended neo-fuzzy neuron and its adaptive learning algorithm YV Bodyanskiy, OK Tyshchenko, DS Kopaliani arXiv preprint arXiv:1610.06483, 2016 | 32 | 2016 |
A neuro-fuzzy Kohonen network for data stream possibilistic clustering and its online self-learning procedure Z Hu, YV Bodyanskiy, OK Tyshchenko, OO Boiko Applied soft computing 68, 710-718, 2018 | 30 | 2018 |
An evolving cascade system based on a set of neo fuzzy nodes Z Hu, YV Bodyanskiy, OK Tyshchenko, OO Boiko arXiv preprint arXiv:1610.06484, 2016 | 29 | 2016 |
A hybrid cascade neural network with an optimized pool in each cascade Y Bodyanskiy, O Tyshchenko, D Kopaliani Soft Computing 19, 3445-3454, 2015 | 29 | 2015 |
Clustering matrix sequences based on the iterative dynamic time deformation procedure Z Hu, SV Mashtalir, OK Tyshchenko, MI Stolbovyi International Journal of Intelligent Systems and Applications 10 (7), 66-73, 2018 | 26 | 2018 |
A hybrid cascade neuro-fuzzy network with pools of extended neo-fuzzy neurons and its deep learning YV Bodyanskiy, OK Tyshchenko International Journal of Applied Mathematics and Computer Science 29 (3), 2019 | 25 | 2019 |
Fuzzy Clustering High-Dimensional Data Using Information Weighting YV Bodyanskiy, OK Tyshchenko, SV Mashtalir International Conference on Artificial Intelligence and Soft Computing, 385-395, 2019 | 24 | 2019 |
A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering Z Hu, YV Bodyanskiy, OK Tyshchenko 2016 XIth International Scientific and Technical Conference Computer …, 2016 | 23 | 2016 |
A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering Z Hu, YV Bodyanskiy, OK Tyshchenko 2016 IEEE First International Conference on Data Stream Mining & Processing …, 2016 | 23 | 2016 |
GEOCLUS: A Fuzzy-Based Learning Algorithm for Clustering Expression Datasets Z Hu, E Kashyap, OK Tyshchenko International Conference on Computer Science, Engineering and Education …, 2022 | 18 | 2022 |
An evolving neuro-fuzzy system with online learning/self-learning YV Bodyanskiy, OK Tyshchenko, AO Deineko arXiv preprint arXiv:1610.06488, 2016 | 18 | 2016 |
An evolving neuro-fuzzy system for online fuzzy clustering Y Bodyanskiy, O Tyshchenko, D Kopaliani 2015 Xth International Scientific and Technical Conference" Computer …, 2015 | 18 | 2015 |