Jacek M. Leski

65 papers C 1Misc 1Journal 38Unranked 21
YearRankTypeTitle / Venue / Authors
2023 J jnl
Fuzzy double-ordered
Fuzzy Sets Syst.
Jacek M. Leski
2023 J jnl
OWA-based robust fuzzy clustering of time series with typicality degrees.
Inf. Sci.
Pierpaolo D'Urso, Jacek M. Leski
2023 J jnl
Refining the rule base of fuzzy classifier to support the evaluation of fetal condition.
Appl. Soft Comput.
Robert Czabanski, Michal Jezewski, Jacek M. Leski, Krzysztof Horoba, Janusz Wrobel, Radek Martinek, Katerina Barnova
2021 J jnl
Clustering based multiple state-space projections.
Signal Process.
Marian P. Kotas, Adam Dyrek, Michal Piela, Jacek M. Leski
2021 J jnl
On ε-insensitive simplification of fuzzy rules for fetal distress assessment.
Expert Syst. Appl.
Michal Jezewski, Robert Czabanski, Jacek M. Leski, Adam Matonia, Radana Kahankova
2021 J jnl
Practical aspects of equivalence of Baldwin's and Zadeh's fuzzy inference.
J. Intell. Fuzzy Syst.
Przemyslaw Kudlacik, Jacek M. Leski
2021 J jnl
Robust nonlinear aggregation operator for ECG powerline interference reduction.
Biomed. Signal Process. Control.
Jacek M. Leski
2020 C conf
Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State.
BIBE
Robert Czabanski, Michal Jezewski, Jacek M. Leski, Tomasz Kupka, Radek Martinek
2020 — conf
Combining ε-similar Fuzzy Rules for Efficient Classification of Cardiotocographic Signals.
MIXDES
Michal Jezewski, Robert Czabanski, Jacek M. Leski, Adam Matonia, Radek Martinek
2020 J jnl
Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine.
Sensors
Robert Czabanski, Krzysztof Horoba, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Michal Jezewski, Radana Kahankova, Janusz Jezewski, Jacek M. Leski
2020 J jnl
Fuzzy Ordered $c$-Means Clustering and Least Angle Regression for Fuzzy Rule-Based Classifier: Study for Imbalanced Data.
IEEE Trans. Fuzzy Syst.
Jacek M. Leski, Robert Czabanski, Michal Jezewski, Janusz Jezewski
2020 J jnl
Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging.
Fuzzy Sets Syst.
Pierpaolo D'Urso, Jacek M. Leski
2019 — conf
Application of Spatio-Temporal Filtering for Atrial Activity Waveforms Enhancement.
SSIP
Jader Giraldo-Guzmán, Marian Kotas, Michal Piela, Francisco Castells, Jacek M. Leski, Sonia H. Contreras Ortiz
2019 J jnl
Fuzzy classifier based on clustering with pairs of ε-hyperballs and its application to support fetal state assessment.
Expert Syst. Appl.
Michal Jezewski, Robert Czabanski, Jacek M. Leski, Janusz Jezewski
2019 — conf
Recognition of Atrial Fibrilation Episodes in Heart Rate Variability Signals Using a Machine Learning Approach.
MIXDES
Krzysztof Horoba, Robert Czabanski, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Radana Kahankova, Jacek M. Leski, Slawomir Graczyk
2018 J jnl
Linguistically Defined Clustering of Data.
Int. J. Appl. Math. Comput. Sci.
Jacek M. Leski, Marian P. Kotas
2018 J jnl
On clustering based nonlinear projective filtering of biomedical signals.
Biomed. Signal Process. Control.
Tomasz Przybyla, Marian Kotas, Jacek M. Leski
2017 — conf
Averaging of Nonlinearly Aligned Evoked Potentials in Impulsive Noise Environment.
ICMMI
Marian Kotas, Tomasz Pander, Jacek M. Leski, Tomasz Moron
2017 — conf
Fuzzy Clustering with \varepsilon -Hyperballs and Its Application to Data Classification.
ICAISC (2)
Michal Jezewski, Robert Czabanski, Jacek M. Leski
2017 — conf
Hierarchical Agglomerative Clustering of Time-Warped Series.
ICMMI
Marian Kotas, Jacek M. Leski, Tomasz Moron, Jader Giraldo-Guzmán
2017 — conf
Introduction to Fuzzy Sets.
Theory and Applications of Ordered Fuzzy Numbers
Michal Jezewski, Robert Czabanski, Jacek M. Leski
2017 — conf
Introduction to Fuzzy Systems.
Theory and Applications of Ordered Fuzzy Numbers
Robert Czabanski, Michal Jezewski, Jacek M. Leski
2016 J jnl
Clustering with Pairs of Prototypes to Support Automated Assessment of the Fetal State.
Appl. Artif. Intell.
Michal Jezewski, Robert Czabanski, Krzysztof Horoba, Jacek M. Leski
2016 J jnl
Fuzzy Analysis of Delivery Outcome Attributes for Improving the Automated Fetal State Assessment.
Appl. Artif. Intell.
Robert Czabanski, Michal Jezewski, Krzysztof Horoba, Janusz Jezewski, Jacek M. Leski
2016 J jnl
Fuzzy c-ordered medoids clustering for interval-valued data.
Pattern Recognit.
Pierpaolo D'Urso, Jacek M. Leski
2016 J jnl
Fuzzy c-ordered-means clustering.
Fuzzy Sets Syst.
Jacek M. Leski
2015 J jnl
Averaging of nonlinearly aligned signal cycles for noise suppression.
Biomed. Signal Process. Control.
Marian Kotas, Tomasz Pander, Jacek M. Leski
2015 — conf
Classification Based on Incremental Fuzzy (1+p) ( 1 + p ) -Means Clustering.
ICMMI
Michal Jezewski, Jacek M. Leski, Robert Czabanski
2015 — conf
Dynamic Time Warping Based on Modified Alignment Costs for Evoked Potentials Averaging.
ICMMI
Marian Kotas, Jacek M. Leski, Tomasz Moron
2015 J jnl
Fuzzy (c+p)-Means Clustering and Its Application to a Fuzzy Rule-Based Classifier: Toward Good Generalization and Good Interpretability.
IEEE Trans. Fuzzy Syst.
Jacek M. Leski
2015 J jnl
Hierarchical clustering with planar segments as prototypes.
Pattern Recognit. Lett.
Jacek M. Leski, Marian Kotas
2015 J jnl
On robust fuzzy c-regression models.
Fuzzy Sets Syst.
Jacek M. Leski, Marian Kotas
2015 — conf
PCA Based Hierarchical Clustering with Planar Segments as Prototypes and Maximum Density Linkage.
ICMMI
Jacek M. Leski, Marian Kotas, Tomasz Moron
2015 — conf
Principal Component Analysis and Dynamic Time-Warping in Subbands for ECG Reconstruction.
ICMMI
Tomasz Moron, Marian Kotas, Jacek M. Leski
2013 — conf
An Application of Fuzzy C-Regression Models to Characteristic Point Detection in Biomedical Signals.
ICMMI
Alina Momot, Michal Momot, Jacek M. Leski
2013 — conf
Application of the Conditional Fuzzy Clustering with Prototypes Pairs to Classification.
ICMMI
Michal Jezewski, Jacek M. Leski
2013 — conf
Design of Linear-Phase FIR Filters with Time and Frequency Domains Constraints by Means of AI Based Method.
ICMMI
Norbert Henzel, Jacek M. Leski
2013 — conf
Generalized Constraint Design of Linear-Phase FIR Digital Filters.
CORES
Norbert Henzel, Jacek M. Leski
2013 — conf
Nonlinear Extension of the IRLS Classifier Using Clustering with Pairs of Prototypes.
CORES
Michal Jezewski, Jacek M. Leski
2013 — conf
Time Series of Fuzzy Sets in Classification of Electrocardiographic Signals.
CORES
Jacek M. Leski, Norbert Henzel
2011 — conf
An Application of Fuzzy Clustering Method to Cardiotocographic Signals Classification.
ICMMI
Michal Jezewski, Jacek M. Leski
2011 — ch.
Fuzzy Clustering Finding Prototypes on Classes Boundary.
Computer Recognition Systems 4
Michal Jezewski, Jacek M. Leski
2011 — ch.
Robust Estimation of Respiratory Rate Based on Linear Regression.
Computer Recognition Systems 4
Jacek M. Leski, Norbert Henzel, Alina Momot, Michal Momot, Joanna Sledzik
2008 — ch.
The Prediction of Fetal Outcome by Applying Neural Network for Evaluation of CTG Records.
Computer Recognition Systems 2
Michal Jezewski, Janusz Wrobel, Krzysztof Horoba, Adam Gacek, Norbert Henzel, Jacek M. Leski
2006 J jnl
On support vector regression machines with linguistic interpretation of the kernel matrix.
Fuzzy Sets Syst.
Jacek M. Leski
2005 — conf
A Hybrid epsilon-Insensitive Learning of Fuzzy Systems.
CORES
Tomasz Czogala, Jacek M. Leski
2005 J jnl
A time-domain-constrained fuzzy clustering method and its application to signal analysis.
Fuzzy Sets Syst.
Jacek M. Leski, Aleksander J. Owczarek
2005 J jnl
ECG baseline wander and powerline interference reduction using nonlinear filter bank.
Signal Process.
Jacek M. Leski, Norbert Henzel
2005 — conf
Multi-Channels Time-Domain-Constrained Fuzzy
CORES
Aleksander J. Owczarek, Adam Gacek, Jacek M. Leski
2005 J jnl
TSK-fuzzy modeling based on ε-insensitive learning.
IEEE Trans. Fuzzy Syst.
Jacek M. Leski
2004 Misc conf
A New Fuzzy Clustering Method with Constraints in Time Domain.
ICAISC
Jacek M. Leski, Aleksander J. Owczarek
2004 J jnl
An ε-margin nonlinear classifier based on fuzzy if-then rules.
IEEE Trans. Syst. Man Cybern. Part B
Jacek M. Leski
2004 J jnl
Computationally effective algorithm for robust weighted averaging.
IEEE Trans. Biomed. Eng.
Jacek M. Leski, Adam Gacek
2004 J jnl
Fuzzy c-varieties/elliptotypes clustering in reproducing kernel Hilbert space.
Fuzzy Sets Syst.
Jacek M. Leski
2004 J jnl
ε-insensitive fuzzy c-regression models: introduction to ε-insensitive fuzzy modeling.
IEEE Trans. Syst. Man Cybern. Part B
Jacek M. Leski
2003 J jnl
Generalized weighted conditional fuzzy clustering.
IEEE Trans. Fuzzy Syst.
Jacek M. Leski
2003 J jnl
Ho-Kashyap classifier with generalization control.
Pattern Recognit. Lett.
Jacek M. Leski
2003 J jnl
Neuro-fuzzy system with learning tolerant to imprecision.
Fuzzy Sets Syst.
Jacek M. Leski
2003 J jnl
Towards a robust fuzzy clustering.
Fuzzy Sets Syst.
Jacek M. Leski
2002 J jnl
Robust weighted averaging [of biomedical signals].
IEEE Trans. Biomed. Eng.
Jacek M. Leski
2001 J jnl
On equivalence of approximate reasoning results using different interpretations of fuzzy if-then rules.
Fuzzy Sets Syst.
Ernest Czogala, Jacek M. Leski
2000 — book
Fuzzy and Neuro-Fuzzy Intelligent Systems
Ernest Czogala, Jacek M. Leski
1999 J jnl
A Classifier Based on Neuro-Fuzzy Inference System Ernest.
J. Adv. Comput. Intell. Intell. Informatics
Ernest Czogala, Jacek M. Leski, Yoichi Hayashi
1999 J jnl
A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications.
Fuzzy Sets Syst.
Jacek M. Leski, Ernest Czogala
1998 J jnl
Application of entropy and energy measures of fuzziness to processing of ECG signal.
Fuzzy Sets Syst.
Ernest Czogala, Jacek M. Leski