default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJacek M. Leski
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:10 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
