Michal Jezewski
Orcid: 0000-0002-6026-0264
According to our database1,
Michal Jezewski
authored at least 31 papers
between 2006 and 2023.
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Bibliography
2023
Refining the rule base of fuzzy classifier to support the evaluation of fetal condition.
Appl. Soft Comput., November, 2023
2021
Expert Syst. Appl., 2021
Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis.
IEEE Access, 2021
2020
Fuzzy Ordered $c$-Means Clustering and Least Angle Regression for Fuzzy Rule-Based Classifier: Study for Imbalanced Data.
IEEE Trans. Fuzzy Syst., 2020
New Method for Beat-to-Beat Fetal Heart Rate Measurement Using Doppler Ultrasound Signal.
Sensors, 2020
Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine.
Sensors, 2020
Passive Fetal Monitoring by Advanced Signal Processing Methods in Fetal Phonocardiography.
IEEE Access, 2020
Combining ε-similar Fuzzy Rules for Efficient Classification of Cardiotocographic Signals.
Proceedings of the 27th International Conference on Mixed Design of Integrated Circuits and System, 2020
Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Fuzzy classifier based on clustering with pairs of ε-hyperballs and its application to support fetal state assessment.
Expert Syst. Appl., 2019
2017
Proceedings of the Artificial Intelligence and Soft Computing, 2017
Fuzzy Clustering with \varepsilon -Hyperballs and Its Application to Data Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2017
Proceedings of the Theory and Applications of Ordered Fuzzy Numbers, 2017
Proceedings of the Theory and Applications of Ordered Fuzzy Numbers, 2017
2016
Selected design issues of the medical cyber-physical system for telemonitoring pregnancy at home.
Microprocess. Microsystems, 2016
Clustering with Pairs of Prototypes to Support Automated Assessment of the Fetal State.
Appl. Artif. Intell., 2016
Fuzzy Analysis of Delivery Outcome Attributes for Improving the Automated Fetal State Assessment.
Appl. Artif. Intell., 2016
Design and interfacing aspects of the medical instrumentation for modern hospital system for pregnancy and labour monitoring.
Proceedings of the 2016 MIXDES, 2016
2015
Proceedings of the Man-Machine Interactions 4, 2015
2013
Application of the Conditional Fuzzy Clustering with Prototypes Pairs to Classification.
Proceedings of the Man-Machine Interactions 3, 2013
Nonlinear Extension of the IRLS Classifier Using Clustering with Pairs of Prototypes.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013
2012
Robust extraction of fuzzy rules with artificial neural network based on fuzzy inference system.
Int. J. Intell. Inf. Database Syst., 2012
Computerized analysis of fetal heart rate signals as the predictor of neonatal acidemia.
Expert Syst. Appl., 2012
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012
2011
Proceedings of the Computer Recognition Systems 4, 2011
An Application of Fuzzy Clustering Method to Cardiotocographic Signals Classification.
Proceedings of the Man-Machine Interactions 2, 2011
2010
Predicting the risk of low-fetal birth weight from cardiotocographic signals using ANBLIR system with deterministic annealing and epsilon-insensitive learning.
IEEE Trans. Inf. Technol. Biomed., 2010
Proceedings of the Intelligent Information and Database Systems, 2010
2008
The Prediction of Fetal Outcome by Applying Neural Network for Evaluation of CTG Records.
Proceedings of the Computer Recognition Systems 2, 2008
Prediction of Newborn Sex with Neural Networks Approach to Fetal Cardiotocograms Classification.
Proceedings of the Information Technologies in Biomedicine, 2008
2006
Evaluation of Fetal Heart Rate Baseline Estimation Method Using Testing Signals Based on a Statistical Model.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006