J. Leski

发表

Robust weighted averaging.

J. Leski, 2002, IEEE transactions on bio-medical engineering.

Chapter 2 Introduction to Fuzzy Systems

J. Leski, R. Czabanski, M. Jezewski, 2019 .

Validation of Emotiv EPOC+ for extracting ERP correlates of emotional face processing

Jacek M. Leski, Katarzyna Stapor, Marian Kotas, 2018 .

Could we really determine the duration of the T-wave? An answer comes from T-wave triggered signal averaged ECG

J. Leski, M. Sosnowski, T. Petelenz, 1995, Computers in Cardiology 1995.

The coherence spectrum for quantifying beat-to-beat adaptation of RT intervals to heart rate in normal subjects and in postinfarction patients

M. Tendera, J. Leski, M. Sosnowski, 1996, Computers in Cardiology 1996.

Minimum hypervolume clustering algorithm

N. Henzel, J. Leski, 2002 .

/spl epsiv/-insensitive fuzzy c-regression models: introduction to /spl epsiv/-insensitive fuzzy modeling

J. Leski, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Increased QRS complex dispersion in postinfarction patients: is it clinically important?

M. Tendera, J. Leski, M. Sosnowski, 1997, Computers in Cardiology 1997.

Introduction to Fuzzy Sets

Jacek M. Leski, Michal Jezewski, Robert Czabanski, 2017, Theory and Applications of Ordered Fuzzy Numbers.

Introduction to Fuzzy Systems

Jacek M. Leski, Michal Jezewski, Robert Czabanski, 2017, Theory and Applications of Ordered Fuzzy Numbers.

Clustering based multiple state-space projections

Jacek M. Leski, Marian Kotas, Adam Dyrek, 2021, Signal Process..

Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine

Radek Martinek, Janusz Jezewski, Janusz Wrobel, 2020, Sensors.

Hierarchical clustering with planar segments as prototypes

Jacek M. Leski, Marian Kotas, M. Kotas, 2015, Pattern Recognit. Lett..

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

A. Matonia, J. Leski, M. Jezewski, 2021, Expert Syst. Appl..

Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State

Radek Martinek, Jacek M. Leski, Tomasz Kupka, 2020, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).

Fuzzy classifier based on clustering with pairs of ε-hyperballs and its application to support fetal state assessment

Jacek M. Leski, Janusz Jezewski, Michal Jezewski, 2019, Expert Syst. Appl..

TSK-fuzzy modeling based on /spl epsiv/-insensitive learning

Jacek M. Leski, J. Leski, 2005, IEEE Transactions on Fuzzy Systems.

On equivalence of approximate reasoning results using different interpretations of fuzzy if-then rules

Jacek M. Leski, Ernest Czogala, E. Czogala, 2001, Fuzzy Sets Syst..

Tool condition monitoring using artificial intelligence methods

Krzysztof Jemielniak, E. Czogala, Marek Balazinski, 2002 .

Sequential separation of twin pregnancy electrocardiograms

Jacek M. Leski, Janusz Wrobel, M. Kotas, 2016 .

Fuzzy c-ordered medoids clustering for interval-valued data

Pierpaolo D'Urso, Jacek M. Leski, J. Leski, 2016, Pattern Recognit..

Cardiotocographic Signals Classification Based on Clustering and Fuzzy If-Then Rules

Jacek M. Leski, Michal Jezewski, J. Leski, 2011 .

Towards a robust fuzzy clustering

Jacek M. Leski, J. Leski, 2003, Fuzzy Sets Syst..

Fuzzy and Neuro-Fuzzy Intelligent Systems

Jacek M. Leski, Ernest Czogala, E. Czogala, 2000, Studies in Fuzziness and Soft Computing.

Improved robust weighted averaging for event-related potentials in EEG

K. Stapor, J. Leski, K. Kotowski, 2019, Biocybernetics and Biomedical Engineering.

An Application of Fuzzy C-Regression Models to Characteristic Point Detection in Biomedical Signals

Alina Momot, Jacek M. Leski, Michal Momot, 2013, ICMMI.

Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging

Pierpaolo D'Urso, Jacek M. Leski, J. Leski, 2020, Fuzzy Sets Syst..

An /spl epsiv/-margin nonlinear classifier based on fuzzy if-then rules

J.M. Leski, J. Leski, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

On support vector regression machines with linguistic interpretation of the kernel matrix

Jacek M. Leski, J. Leski, 2006, Fuzzy Sets Syst..

A time and frequency domain analysis of atrial late potentials for paroxysmal atrial fibrillation risk assessment

J. Leski, M. Sosnowski, T. Petelenz, 1993, Proceedings of Computers in Cardiology Conference.

On clustering based nonlinear projective filtering of biomedical signals

Jacek M. Leski, Tomasz Przybyla, Marian Kotas, 2018, Biomed. Signal Process. Control..

ECG baseline wander and powerline interference reduction using nonlinear filter bank

Jacek M. Leski, Norbert Henzel, N. Henzel, 2005, Signal Process..

Practical aspects of equivalence of Baldwin's and Zadeh's fuzzy inference

Przemyslaw Kudlacik, Jacek M. Leski, J. Leski, 2021, J. Intell. Fuzzy Syst..

Radek Martinek, Jacek M. Leski, Michal Jezewski, 2020, MIXDES.

Some Practical Remarks on Neural Networks Approach to Fetal Cardiotocograms Classification

J. Jezewski, K. Horoba, P. Labaj, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Clustering with Pairs of Prototypes to Support Automated Assessment of the Fetal State

Jacek M. Leski, Michal Jezewski, Robert Czabanski, 2016, Appl. Artif. Intell..

Fuzzy c-varieties/elliptotypes clustering in reproducing kernel Hilbert space

Jacek M. Leski, J. Leski, 2004, Fuzzy Sets Syst..

Repeat return map distinguishes patients in the chronic phase after myocardial infarction with different risk for future cardiac events

J. Leski, M. Sosnowski, T. Petelenz, 1995, Computers in Cardiology 1995.

Robust nonlinear aggregation operator for ECG powerline interference reduction

Jacek M. Leski, J. Leski, 2021, Biomed. Signal Process. Control..

Fuzzy Analysis of Delivery Outcome Attributes for Improving the Automated Fetal State Assessment

Jacek M. Leski, Janusz Jezewski, Michal Jezewski, 2016, Appl. Artif. Intell..

Time Series of Fuzzy Sets in Classification of Electrocardiographic Signals

Jacek M. Leski, Norbert Henzel, N. Henzel, 2013, CORES.

Fuzzy Ordered $c$-Means Clustering and Least Angle Regression for Fuzzy Rule-Based Classifier: Study for Imbalanced Data

Jacek M. Leski, Janusz Jezewski, Michal Jezewski, 2020, IEEE Transactions on Fuzzy Systems.

Fuzzy c-ordered-means clustering

Jacek M. Leski, J. Leski, 2016, Fuzzy Sets Syst..

On robust fuzzy c-regression models

Jacek M. Leski, Marian Kotas, M. Kotas, 2015, Fuzzy Sets Syst..

A time-domain-constrained fuzzy clustering method and its application to signal analysis

Jacek M. Leski, Aleksander J. Owczarek, J. Leski, 2005, Fuzzy Sets Syst..

Fuzzy double-ordered c-regression models based on fuzzy S-estimators

J. Leski, 2023, Fuzzy Sets Syst..

Linguistically Defined Clustering of Data

Jacek M. Leski, Marian Kotas, M. Kotas, 2018, International Journal of Applied Mathematics and Computer Sciences.

Application of Spatio-Temporal Filtering for Atrial Activity Waveforms Enhancement

Sonia H. Contreras Ortiz, F. Castells, M. Kotas, 2019, SSIP.

Fuzzy $(c+p)$-Means Clustering and Its Application to a Fuzzy Rule-Based Classifier: Toward Good Generalization and Good Interpretability

Jacek M. Leski, J. Leski, 2015, IEEE Transactions on Fuzzy Systems.

R. Martínek, A. Matonia, J. Leski, 2020, International Conference on Mixed Design of Integrated Circuits and Systems.

Averaging of nonlinearly aligned signal cycles for noise suppression

Jacek M. Leski, Tomasz Pander, Marian Kotas, 2015, Biomed. Signal Process. Control..

Robust estimation of respiratory rate based on linear regression

N. Henzel, J. Leski, M. Momot, 2015, 2015 Signal Processing Symposium (SPSympo).

Classification Based on Incremental Fuzzy (1+p) ( 1 + p ) -Means Clustering

Jacek M. Leski, Michal Jezewski, Robert Czabanski, 2015, ICMMI.

An Attempt to Optimize the Cardiotocographic Signal Feature Set for Fetal State Assessment

Jacek M. Leski, Michal Jezewski, Robert Czabanski, 2015 .

Nonlinear Extension of the IRLS Classifier Using Clustering with Pairs of Prototypes

Jacek M. Leski, Michal Jezewski, J. Leski, 2013, CORES.

Application of the Conditional Fuzzy Clustering with Prototypes Pairs to Classification

Jacek M. Leski, Michal Jezewski, J. Leski, 2013, ICMMI.

The Prediction of Fetal Outcome by Applying Neural Network for Evaluation of CTG Records

Adam Gacek, Jacek M. Leski, Janusz Wrobel, 2008, Computer Recognition Systems 2.