J. Łęski

发表

THE FUZZY RELEVANCE VECTOR MACHINE AND ITS APPLICATION TO NOISE REDUCTION IN ECG SIGNAL

Alina Momot, M. Momot, J. Łęski, 2005 .

Improving the quality of the fetal state assessment with epsilon-insensitive learning methods

J. Łęski, Janusz Jezewski, Janusz Wrobel, 2014 .

The influence of cardiotocogram signal feature selection method on fetal state assessment efficacy

J. Łęski, Michal Jezewski, Robert Czabanski, 2014 .

A New Fuzzy Inference System Based on Artificial Neural Network and Its Applications

J. Łęski, E. Czogała, 1999 .

THE PREDICTION OF THE LOW FETAL BIRTH WEIGHT BASED ON QUANTITATIVE DESCRIPTION OF CARDIOTOCOGRAPHIC SIGNALS

J. Łęski, Janusz Jezewski, Janusz Wrobel, 2008 .

INFLUENCE OF GESTATIONAL AGE ON NEURAL NETWORKS INTERPRETATION OF FETAL MONITORING SIGNALS

J. Łęski, Janusz Jezewski, Janusz Wrobel, 2008 .

Clustering algorithm for classification methods

J. Łęski, M. Jeżewski, J. Łȩski, 2012 .

Iteratively reweighted least squares classifier and its l2- and l1-regularized Kernel versions

J. Łęski, J. Łȩski, 2010 .

Szereg czasowy zbiorów rozmytych w opisie i analizie sygnałów elektrokardiograficznych

J. Łęski, Norbert Henzel, A. Gacek, 2011 .

EMPIRICAL BAYESIAN AVERAGING METHOD AND ITS APPLICATION TO NOISE REDUCTION IN ECG SIGNAL

Alina Momot, M. Momot, J. Łęski, 2006 .

WEIGHTED AVERAGING OF ECG SIGNALS BASED ON PARTITION OF INPUT SET IN TIME DOMAIN

Alina Momot, M. Momot, J. Łęski, 2007 .

Robust possibilistic clustering

J. Łęski, 2000 .

Bayesian and empirical Bayesian approach to weighted averaging of ECG signal

J. Łęski, J. Łȩski, A. Mamot, 2007 .

Computationally effective algorithm to the epsilon -insensitive fuzzy clustering.

J. Łęski, 2002 .

A Neuro-Fuzzy System Based on Logical Interpretation of If-then Rules

J. Łęski, N. Henzel, 2000 .