Robert Czabanski

Orcid: 0000-0003-4737-2138

According to our database1, Robert Czabanski authored at least 35 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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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
On ε-insensitive simplification of fuzzy rules for fetal distress assessment.
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

New Possibilities for Fetal Monitoring Using Unobtrusive Abdominal Electrocardiography.
Proceedings of the 26th International Conference on Mixed Design of Integrated Circuits and Systems, 2019

Recognition of Atrial Fibrilation Episodes in Heart Rate Variability Signals Using a Machine Learning Approach.
Proceedings of the 26th International Conference on Mixed Design of Integrated Circuits and Systems, 2019

2017
Robust Detection of Systolic Peaks in Arterial Blood Pressure Signal.
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

Introduction to Fuzzy Sets.
Proceedings of the Theory and Applications of Ordered Fuzzy Numbers, 2017

Introduction to Fuzzy Systems.
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

Electrical Activity of Uterus as Reliable Information on Contractions During Pregnancy and Labour.
Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

2015
Classification Based on Incremental Fuzzy (1+p) ( 1 + p ) -Means Clustering.
Proceedings of the Man-Machine Interactions 4, 2015

2014
The Application of Median Fuzzy Clustering and Robust Weighted Averaging for Electronystagmography Signal Processing.
Proceedings of the Intelligent Systems'2014, 2014

2013
Fuzzy Approach to Saccades Detection in Optokinetic Nystagmus.
Proceedings of the Man-Machine Interactions 3, 2013

Classification of Uterine Electrical Activity Patterns for Early Detection of Preterm Birth.
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

A new method of saccadic eye movement detection for optokinetic nystagmus analysis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Two-Step Analysis of the Fetal Heart Rate Signal as a Predictor of Distress.
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

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

Robust Prediction with ANNBFIS System.
Proceedings of the Intelligent Information and Database Systems, 2010

2008
An Approach to Estimation of the Angular Eye-Ball Speed Based on the EOG Signal.
Proceedings of the Information Technologies in Biomedicine, 2008

Prediction of Newborn Sex with Neural Networks Approach to Fetal Cardiotocograms Classification.
Proceedings of the Information Technologies in Biomedicine, 2008

Detection of Eyes Position Based on Electrooculography Signal Analysis.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

2006
Deterministic Annealing Integrated with <i>epsilon</i>-Insensitive Learning in Neuro-fuzzy Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2006


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