Application of fuzzy decision tree for signal classification J Rabcan, V Levashenko, E Zaitseva, M Kvassay, S Subbotin IEEE Transactions on Industrial Informatics 15 (10), 5425-5434, 2019 | 45 | 2019 |
Review of methods for EEG signal classification and development of new fuzzy classification-based approach J Rabcan, V Levashenko, E Zaitseva, M Kvassay Ieee Access 8, 189720-189734, 2020 | 40 | 2020 |
Non-destructive diagnostic of aircraft engine blades by Fuzzy Decision Tree J Rabcan, V Levashenko, E Zaitseva, M Kvassay, S Subbotin Engineering Structures 197, 109396, 2019 | 39 | 2019 |
Application of the Structure Function in the Evaluation of the Human Factor in Healthcare E Zaitseva, V Levashenko, J Rabcan, E Krsak Symmetry 12 (1), 93, 2020 | 29 | 2020 |
EEG signal classification based on fuzzy classifiers J Rabcan, V Levashenko, E Zaitseva, M Kvassay IEEE Transactions on Industrial Informatics 18 (2), 757-766, 2021 | 28 | 2021 |
Timing of tracheostomy for prolonged respiratory wean in critically ill coronavirus disease 2019 patients: a machine learning approach A Takhar, P Surda, I Ahmad, N Amin, A Arora, L Camporota, P Denniston, ... Critical Care Explorations 2 (11), e0279, 2020 | 19 | 2020 |
A new method for analysis of Multi-State systems based on Multi-valued decision diagram under epistemic uncertainty E Zaitseva, V Levashenko, J Rabcan Reliability Engineering & System Safety 229, 108868, 2023 | 16 | 2023 |
Application of generalized reed–muller expression for development of non-binary circuits E Zaitseva, V Levashenko, I Lukyanchuk, J Rabcan, M Kvassay, ... Electronics 9 (1), 12, 2019 | 14 | 2019 |
Reliability evaluation of the factors that influenced COVID-19 patients’ condition V Levashenko, J Rabcan, E Zaitseva Applied Sciences 11 (6), 2589, 2021 | 13 | 2021 |
Selection of appropriate candidates for a type position using C4. 5 decision tree J Rabcan, M Vaclavkova, R Blasko 2017 International Conference on Information and Digital Technologies (IDT …, 2017 | 13 | 2017 |
Development of programmable logic array for multiple-valued logic functions V Levashenko, I Lukyanchuk, E Zaitseva, M Kvassay, J Rabcan, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 12 | 2020 |
Electroencephalogram Signals Classification by Ordered Fuzzy Decision Tree. J Rabcan, M Kvassay ICTERI, 72-87, 2017 | 12 | 2017 |
Importance analysis of decision making factors based on fuzzy decision trees E Zaitseva, J Rabcan, V Levashenko, M Kvassay Applied Soft Computing 134, 109988, 2023 | 9 | 2023 |
Classification by fuzzy decision trees inducted based on Cumulative Mutual Information J Rabcan, P Rusnak, S Subbotin 2018 14th International Conference on Advanced Trends in Radioelecrtronics …, 2018 | 9 | 2018 |
Multiple-valued logic in analysis of critical states of multi-state system M Kvassay, J Rabcan, P Rusnak 2017 International Conference on Information and Digital Technologies (IDT …, 2017 | 9 | 2017 |
A new fuzzy-based classification method for use in smart/precision medicine E Zaitseva, V Levashenko, J Rabcan, M Kvassay Bioengineering 10 (7), 838, 2023 | 8 | 2023 |
Time-dependent analysis of series-parallel multistate systems using structure function and markov processes M Kvassay, P Rusnak, J Rabcan Advances in system reliability engineering, 131-165, 2019 | 8 | 2019 |
Fuzzy decision tree based method in decision-making of COVID-19 patients’ treatment J Rabcan, E Zaitseva, V Levashenko, M Kvassay, P Surda, D Macekova Mathematics 9 (24), 3282, 2021 | 7 | 2021 |
Reliability evaluation of multi-state system based on incompletely specified data and structure function E Zaitseva, V Levashenko, J Rabcan, M Kvassay, P Rusnak 2019 10th IEEE International Conference on Intelligent Data Acquisition and …, 2019 | 7 | 2019 |
Multiple-valued and fuzzy logics application to remote sensing data analysis E Zaitseva, I Piestova, J Rabcan, P Rusnak 2018 26th Telecommunications Forum (TELFOR), 1-4, 2018 | 7 | 2018 |