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Jacek M. Leski
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2020 – today
- 2023
- [j38]Robert Czabanski, Michal Jezewski, Jacek M. Leski, Krzysztof Horoba, Janusz Wrobel, Radek Martinek, Katerina Barnova:
Refining the rule base of fuzzy classifier to support the evaluation of fetal condition. Appl. Soft Comput. 147: 110790 (2023) - [j37]Jacek M. Leski:
Fuzzy double-ordered c-regression models based on fuzzy S-estimators. Fuzzy Sets Syst. 465: 108531 (2023) - [j36]Pierpaolo D'Urso, Jacek M. Leski:
OWA-based robust fuzzy clustering of time series with typicality degrees. Inf. Sci. 651: 119706 (2023) - 2021
- [j35]Jacek M. Leski:
Robust nonlinear aggregation operator for ECG powerline interference reduction. Biomed. Signal Process. Control. 69: 102675 (2021) - [j34]Michal Jezewski, Robert Czabanski, Jacek M. Leski, Adam Matonia, Radana Kahankova:
On ε-insensitive simplification of fuzzy rules for fetal distress assessment. Expert Syst. Appl. 179: 115052 (2021) - [j33]Przemyslaw Kudlacik, Jacek M. Leski:
Practical aspects of equivalence of Baldwin's and Zadeh's fuzzy inference. J. Intell. Fuzzy Syst. 40(3): 4617-4636 (2021) - [j32]Marian Kotas, Adam Dyrek, Michal Piela, Jacek M. Leski:
Clustering based multiple state-space projections. Signal Process. 178: 107762 (2021) - 2020
- [j31]Pierpaolo D'Urso, Jacek M. Leski:
Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging. Fuzzy Sets Syst. 389: 1-28 (2020) - [j30]Robert Czabanski, Krzysztof Horoba, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Michal Jezewski, Radana Kahankova, Janusz Jezewski, Jacek M. Leski:
Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine. Sensors 20(3): 765 (2020) - [j29]Jacek M. Leski, Robert Czabanski, Michal Jezewski, Janusz Jezewski:
Fuzzy Ordered $c$-Means Clustering and Least Angle Regression for Fuzzy Rule-Based Classifier: Study for Imbalanced Data. IEEE Trans. Fuzzy Syst. 28(11): 2799-2813 (2020) - [c23]Robert Czabanski, Michal Jezewski, Jacek M. Leski, Tomasz Kupka, Radek Martinek:
Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State. BIBE 2020: 358-364 - [c22]Michal Jezewski, Robert Czabanski, Jacek M. Leski, Adam Matonia, Radek Martinek:
Combining ε-similar Fuzzy Rules for Efficient Classification of Cardiotocographic Signals. MIXDES 2020: 213-217
2010 – 2019
- 2019
- [j28]Michal Jezewski, Robert Czabanski, Jacek M. Leski, Janusz Jezewski:
Fuzzy classifier based on clustering with pairs of ε-hyperballs and its application to support fetal state assessment. Expert Syst. Appl. 118: 109-126 (2019) - [c21]Krzysztof Horoba, Robert Czabanski, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Radana Kahankova, Jacek M. Leski, Slawomir Graczyk:
Recognition of Atrial Fibrilation Episodes in Heart Rate Variability Signals Using a Machine Learning Approach. MIXDES 2019: 419-424 - [c20]Jader Giraldo-Guzmán, Marian Kotas, Michal Piela, Francisco Castells, Jacek M. Leski, Sonia H. Contreras Ortiz:
Application of Spatio-Temporal Filtering for Atrial Activity Waveforms Enhancement. SSIP 2019: 67-72 - 2018
- [j27]Jacek M. Leski, Marian Kotas:
Linguistically Defined Clustering of Data. Int. J. Appl. Math. Comput. Sci. 28(3): 545-557 (2018) - [j26]Tomasz Przybyla, Marian Kotas, Jacek M. Leski:
On clustering based nonlinear projective filtering of biomedical signals. Biomed. Signal Process. Control. 44: 237-246 (2018) - 2017
- [c19]Michal Jezewski, Robert Czabanski, Jacek M. Leski:
Introduction to Fuzzy Sets. Theory and Applications of Ordered Fuzzy Numbers 2017: 3-22 - [c18]Robert Czabanski, Michal Jezewski, Jacek M. Leski:
Introduction to Fuzzy Systems. Theory and Applications of Ordered Fuzzy Numbers 2017: 23-43 - [c17]Michal Jezewski, Robert Czabanski, Jacek M. Leski:
Fuzzy Clustering with \varepsilon -Hyperballs and Its Application to Data Classification. ICAISC (2) 2017: 84-93 - [c16]Marian Kotas, Jacek M. Leski, Tomasz Moron, Jader Giraldo-Guzmán:
Hierarchical Agglomerative Clustering of Time-Warped Series. ICMMI 2017: 207-216 - [c15]Marian Kotas, Tomasz Pander, Jacek M. Leski, Tomasz Moron:
Averaging of Nonlinearly Aligned Evoked Potentials in Impulsive Noise Environment. ICMMI 2017: 217-227 - 2016
- [j25]Robert Czabanski, Michal Jezewski, Krzysztof Horoba, Janusz Jezewski, Jacek M. Leski:
Fuzzy Analysis of Delivery Outcome Attributes for Improving the Automated Fetal State Assessment. Appl. Artif. Intell. 30(6): 556-571 (2016) - [j24]Michal Jezewski, Robert Czabanski, Krzysztof Horoba, Jacek M. Leski:
Clustering with Pairs of Prototypes to Support Automated Assessment of the Fetal State. Appl. Artif. Intell. 30(6): 572-589 (2016) - [j23]Jacek M. Leski:
Fuzzy c-ordered-means clustering. Fuzzy Sets Syst. 286: 114-133 (2016) - [j22]Pierpaolo D'Urso, Jacek M. Leski:
Fuzzy c-ordered medoids clustering for interval-valued data. Pattern Recognit. 58: 49-67 (2016) - 2015
- [j21]Marian Kotas, Tomasz Pander, Jacek M. Leski:
Averaging of nonlinearly aligned signal cycles for noise suppression. Biomed. Signal Process. Control. 21: 157-168 (2015) - [j20]Jacek M. Leski, Marian Kotas:
On robust fuzzy c-regression models. Fuzzy Sets Syst. 279: 112-129 (2015) - [j19]Jacek M. Leski, Marian Kotas:
Hierarchical clustering with planar segments as prototypes. Pattern Recognit. Lett. 54: 1-10 (2015) - [j18]Jacek M. Leski:
Fuzzy (c+p)-Means Clustering and Its Application to a Fuzzy Rule-Based Classifier: Toward Good Generalization and Good Interpretability. IEEE Trans. Fuzzy Syst. 23(4): 802-812 (2015) - [c14]Marian Kotas, Jacek M. Leski, Tomasz Moron:
Dynamic Time Warping Based on Modified Alignment Costs for Evoked Potentials Averaging. ICMMI 2015: 305-314 - [c13]Tomasz Moron, Marian Kotas, Jacek M. Leski:
Principal Component Analysis and Dynamic Time-Warping in Subbands for ECG Reconstruction. ICMMI 2015: 315-325 - [c12]Jacek M. Leski, Marian Kotas, Tomasz Moron:
PCA Based Hierarchical Clustering with Planar Segments as Prototypes and Maximum Density Linkage. ICMMI 2015: 507-516 - [c11]Michal Jezewski, Jacek M. Leski, Robert Czabanski:
Classification Based on Incremental Fuzzy (1+p) ( 1 + p ) -Means Clustering. ICMMI 2015: 563-572 - 2013
- [c10]Norbert Henzel, Jacek M. Leski:
Generalized Constraint Design of Linear-Phase FIR Digital Filters. CORES 2013: 53-62 - [c9]Michal Jezewski, Jacek M. Leski:
Nonlinear Extension of the IRLS Classifier Using Clustering with Pairs of Prototypes. CORES 2013: 121-130 - [c8]Jacek M. Leski, Norbert Henzel:
Time Series of Fuzzy Sets in Classification of Electrocardiographic Signals. CORES 2013: 541-550 - [c7]Norbert Henzel, Jacek M. Leski:
Design of Linear-Phase FIR Filters with Time and Frequency Domains Constraints by Means of AI Based Method. ICMMI 2013: 239-246 - [c6]Alina Momot, Michal Momot, Jacek M. Leski:
An Application of Fuzzy C-Regression Models to Characteristic Point Detection in Biomedical Signals. ICMMI 2013: 257-263 - [c5]Michal Jezewski, Jacek M. Leski:
Application of the Conditional Fuzzy Clustering with Prototypes Pairs to Classification. ICMMI 2013: 397-405 - 2011
- [c4]Michal Jezewski, Jacek M. Leski:
An Application of Fuzzy Clustering Method to Cardiotocographic Signals Classification. ICMMI 2011: 315-322 - [p3]Michal Jezewski, Jacek M. Leski:
Fuzzy Clustering Finding Prototypes on Classes Boundary. Computer Recognition Systems 4 2011: 177-186 - [p2]Jacek M. Leski, Norbert Henzel, Alina Momot, Michal Momot, Joanna Sledzik:
Robust Estimation of Respiratory Rate Based on Linear Regression. Computer Recognition Systems 4 2011: 559-568
2000 – 2009
- 2008
- [p1]Michal Jezewski, Janusz Wrobel, Krzysztof Horoba, Adam Gacek, Norbert Henzel, Jacek M. Leski:
The Prediction of Fetal Outcome by Applying Neural Network for Evaluation of CTG Records. Computer Recognition Systems 2 2008: 532-541 - 2006
- [j17]Jacek M. Leski:
On support vector regression machines with linguistic interpretation of the kernel matrix. Fuzzy Sets Syst. 157(8): 1092-1113 (2006) - 2005
- [j16]Jacek M. Leski, Aleksander J. Owczarek:
A time-domain-constrained fuzzy clustering method and its application to signal analysis. Fuzzy Sets Syst. 155(2): 165-190 (2005) - [j15]Jacek M. Leski, Norbert Henzel:
ECG baseline wander and powerline interference reduction using nonlinear filter bank. Signal Process. 85(4): 781-793 (2005) - [j14]Jacek M. Leski:
TSK-fuzzy modeling based on ε-insensitive learning. IEEE Trans. Fuzzy Syst. 13(2): 181-193 (2005) - [c3]Tomasz Czogala, Jacek M. Leski:
A Hybrid epsilon-Insensitive Learning of Fuzzy Systems. CORES 2005: 145-152 - [c2]Aleksander J. Owczarek, Adam Gacek, Jacek M. Leski:
Multi-Channels Time-Domain-Constrained Fuzzy c -Regression Models. CORES 2005: 263-270 - 2004
- [j13]Jacek M. Leski:
Fuzzy c-varieties/elliptotypes clustering in reproducing kernel Hilbert space. Fuzzy Sets Syst. 141(2): 259-280 (2004) - [j12]Jacek M. Leski, Adam Gacek:
Computationally effective algorithm for robust weighted averaging. IEEE Trans. Biomed. Eng. 51(7): 1280-1284 (2004) - [j11]Jacek M. Leski:
ε-insensitive fuzzy c-regression models: introduction to ε-insensitive fuzzy modeling. IEEE Trans. Syst. Man Cybern. Part B 34(1): 4-15 (2004) - [j10]Jacek M. Leski:
An ε-margin nonlinear classifier based on fuzzy if-then rules. IEEE Trans. Syst. Man Cybern. Part B 34(1): 68-76 (2004) - [c1]Jacek M. Leski, Aleksander J. Owczarek:
A New Fuzzy Clustering Method with Constraints in Time Domain. ICAISC 2004: 640-645 - 2003
- [j9]Jacek M. Leski:
Towards a robust fuzzy clustering. Fuzzy Sets Syst. 137(2): 215-233 (2003) - [j8]Jacek M. Leski:
Neuro-fuzzy system with learning tolerant to imprecision. Fuzzy Sets Syst. 138(2): 427-439 (2003) - [j7]Jacek M. Leski:
Ho-Kashyap classifier with generalization control. Pattern Recognit. Lett. 24(14): 2281-2290 (2003) - [j6]Jacek M. Leski:
Generalized weighted conditional fuzzy clustering. IEEE Trans. Fuzzy Syst. 11(6): 709-715 (2003) - 2002
- [j5]Jacek M. Leski:
Robust weighted averaging [of biomedical signals]. IEEE Trans. Biomed. Eng. 49(8): 796-804 (2002) - 2001
- [j4]Ernest Czogala, Jacek M. Leski:
On equivalence of approximate reasoning results using different interpretations of fuzzy if-then rules. Fuzzy Sets Syst. 117(2): 279-296 (2001) - 2000
- [b1]Ernest Czogala, Jacek M. Leski:
Fuzzy and Neuro-Fuzzy Intelligent Systems. Studies in Fuzziness and Soft Computing 47, Springer 2000, ISBN 978-3-662-00389-3, pp. 1-180
1990 – 1999
- 1999
- [j3]Jacek M. Leski, Ernest Czogala:
A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications. Fuzzy Sets Syst. 108(3): 289-297 (1999) - [j2]Ernest Czogala, Jacek M. Leski, Yoichi Hayashi:
A Classifier Based on Neuro-Fuzzy Inference System Ernest. J. Adv. Comput. Intell. Intell. Informatics 3(4): 282-288 (1999) - 1998
- [j1]Ernest Czogala, Jacek M. Leski:
Application of entropy and energy measures of fuzziness to processing of ECG signal. Fuzzy Sets Syst. 97(1): 9-18 (1998)
Coauthor Index
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