Evaluation of Fetal Heart Rate Baseline Estimation Method Using Testing Signals Based on a Statistical Model. - Tomasz Kupka; Janusz Wrobel; Janusz Jezewski; Adam Gacek; Michal Jezewski (EMBC, 2006)

Prediction of Newborn Sex with Neural Networks Approach to Fetal Cardiotocograms Classification. - Michal Jezewski; Robert Czabanski; Krzysztof Horoba; Janusz Wrobel; Janusz Jezewski (Information Technologies in Biomedicine, 2008)

The Prediction of Fetal Outcome by Applying Neural Network for Evaluation of CTG Records. - Michal Jezewski; Janusz Wrobel; Krzysztof Horoba; Adam Gacek; Norbert Henzel; Jacek M. Leski (Computer Recognition Systems 2, 2008)

Robust Prediction with ANNBFIS System. - Robert Czabanski; Michal Jezewski; Krzysztof Horoba; Janusz Jezewski; Janusz Wrobel (ACIIDS (2), 2010)

Predicting the risk of low-fetal birth weight from cardiotocographic signals using ANBLIR system with deterministic annealing and epsilon-insensitive learning. - Robert Czabanski; Michal Jezewski; Janusz Wrobel; Janusz Jezewski; Krzysztof Horoba (IEEE Trans. Inf. Technol. Biomed., 2010)

An Application of Fuzzy Clustering Method to Cardiotocographic Signals Classification. - Michal Jezewski; Jacek M. Leski (ICMMI, 2011)

Fuzzy Clustering Finding Prototypes on Classes Boundary. - Michal Jezewski; Jacek M. Leski (Computer Recognition Systems 4, 2011)

Two-Step Analysis of the Fetal Heart Rate Signal as a Predictor of Distress. - Robert Czabanski; Janusz Wrobel; Janusz Jezewski; Michal Jezewski (ACIIDS (2), 2012)

Computerized analysis of fetal heart rate signals as the predictor of neonatal acidemia. - Robert Czabanski; Janusz Jezewski; Adam Matonia; Michal Jezewski (Expert Syst. Appl., 2012)

Robust extraction of fuzzy rules with artificial neural network based on fuzzy inference system. - Robert Czabanski; Michal Jezewski; Janusz Jezewski; Janusz Wrobel; Krzysztof Horoba (Int. J. Intell. Inf. Database Syst., 2012)

Nonlinear Extension of the IRLS Classifier Using Clustering with Pairs of Prototypes. - Michal Jezewski; Jacek M. Leski (CORES, 2013)

Application of the Conditional Fuzzy Clustering with Prototypes Pairs to Classification. - Michal Jezewski; Jacek M. Leski (ICMMI, 2013)

Classification Based on Incremental Fuzzy (1+p) ( 1 + p ) -Means Clustering. - Michal Jezewski; Jacek M. Leski; Robert Czabanski (ICMMI, 2015)

Design and interfacing aspects of the medical instrumentation for modern hospital system for pregnancy and labour monitoring. - Krzysztof Horoba; Janusz Jezewski; Janusz Wrobel; Tomasz Kupka; Adam Pawlak; Robert Czabanski; Michal Jezewski (MIXDES, 2016)

Fuzzy Analysis of Delivery Outcome Attributes for Improving the Automated Fetal State Assessment. - Robert Czabanski; Michal Jezewski; Krzysztof Horoba; Janusz Jezewski; Jacek M. Leski (Appl. Artif. Intell., 2016)

Clustering with Pairs of Prototypes to Support Automated Assessment of the Fetal State. - Michal Jezewski; Robert Czabanski; Krzysztof Horoba; Jacek M. Leski (Appl. Artif. Intell., 2016)

Selected design issues of the medical cyber-physical system for telemonitoring pregnancy at home. - Janusz Jezewski; Adam Pawlak; Krzysztof Horoba; Janusz Wrobel; Robert Czabanski; Michal Jezewski (Microprocess. Microsystems, 2016)

Introduction to Fuzzy Systems. - Robert Czabanski; Michal Jezewski; Jacek M. Leski (Theory and Applications of Ordered Fuzzy Numbers, 2017)

Introduction to Fuzzy Sets. - Michal Jezewski; Robert Czabanski; Jacek M. Leski (Theory and Applications of Ordered Fuzzy Numbers, 2017)

Fuzzy Clustering with varepsilon -Hyperballs and Its Application to Data Classification. - Michal Jezewski; Robert Czabanski; Jacek M. Leski (ICAISC (2), 2017)

Robust Detection of Systolic Peaks in Arterial Blood Pressure Signal. - Tomasz Pander; Robert Czabanski; Tomasz Przybyla; Stanislaw Pietraszek; Michal Jezewski (ICAISC (1), 2017)

Fuzzy classifier based on clustering with pairs of ε-hyperballs and its application to support fetal state assessment. - Michal Jezewski; Robert Czabanski; Jacek M. Leski; Janusz Jezewski (Expert Syst. Appl., 2019)

Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State. - Robert Czabanski; Michal Jezewski; Jacek M. Leski; Tomasz Kupka; Radek Martinek (BIBE, 2020)

Combining ε-similar Fuzzy Rules for Efficient Classification of Cardiotocographic Signals. - Michal Jezewski; Robert Czabanski; Jacek M. Leski; Adam Matonia; Radek Martinek (MIXDES, 2020)

Passive Fetal Monitoring by Advanced Signal Processing Methods in Fetal Phonocardiography. - Radek Martinek; Katerina Barnova; Rene Jaros; Radana Kahankova; Tomasz Kupka; Michal Jezewski; Robert Czabanski; Adam Matonia; Janusz Jezewski; Krzysztof Horoba (IEEE Access, 2020)

Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine. - Robert Czabanski; Krzysztof Horoba; Janusz Wrobel; Adam Matonia; Radek Martinek; Tomasz Kupka; Michal Jezewski; Radana Kahankova; Janusz Jezewski; Jacek M. Leski (Sensors, 2020)

New Method for Beat-to-Beat Fetal Heart Rate Measurement Using Doppler Ultrasound Signal. - Tomasz Kupka; Adam Matonia; Michal Jezewski; Janusz Jezewski; Krzysztof Horoba; Janusz Wrobel; Robert Czabanski; Radek Martinek (Sensors, 2020)

Fuzzy Ordered $c$-Means Clustering and Least Angle Regression for Fuzzy Rule-Based Classifier: Study for Imbalanced Data. - Jacek M. Leski; Robert Czabanski; Michal Jezewski; Janusz Jezewski (IEEE Trans. Fuzzy Syst., 2020)

Non-Invasive Fetal Electrocardiogram Extraction Based on Novel Hybrid Method for Intrapartum ST Segment Analysis. - Radek Martinek; Radana Kahankova; Rene Jaros; Katerina Barnova; Adam Matonia; Michal Jezewski; Robert Czabanski; Krzysztof Horoba; Janusz Jezewski (IEEE Access, 2021)

On ε-insensitive simplification of fuzzy rules for fetal distress assessment. - Michal Jezewski; Robert Czabanski; Jacek M. Leski; Adam Matonia; Radana Kahankova (Expert Syst. Appl., 2021)

Refining the rule base of fuzzy classifier to support the evaluation of fetal condition. - Robert Czabanski; Michal Jezewski; Jacek M. Leski; Krzysztof Horoba; Janusz Wrobel; Radek Martinek; Katerina Barnova (Appl. Soft Comput., 2023)