• Cover Page
• Editorial Board and Information for Authors
• Aims and Scope
• Contents
Contents
Special section
Cierniak R.
An analytical iterative statistical algorithm for image reconstruction from projections . . . . . . . . . . . . . . . . . . 7
Kowal M. and Filipczuk P.
Nuclei segmentation for computer-aided diagnosis of breast cancer . . . . . . . . . . . . . . . . . 19
Markiewicz T., Dziekiewicz M., Maruszyński M., Bogusławska-Walecka R. and Kozłowski W.
Recognition
of atherosclerotic plaques and their extended dimensioning with computerized tomography angiography
imaging. . . . . . .33
Mazurek P. and Oszutowska-Mazurek D.
From the slit-island method to the Ising model: Analysis of irregular
grayscale objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .49
Regular section
Karampetakis N.P. and Karamichalis R.
Discretization of singular systems and error estimation . . . . . . . . . . . . . . . 65
Kapustyan V. and Maksimov V.
On attaining the prescribed quality of a controlled fourth order system . . . . . . . . . . 75
Bartoszewicz A. and Leśniewski P.
An optimal sliding mode congestion controller for connection-oriented
communication networkswith lossy links . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .87
Janiszowski K.B.
Approximation of a linear dynamic process model using the frequency approach and a nonquadraticmeasure of themodel error . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . 99
Martinović G., Bajer D. and Zorić B.
A differential evolution approach to dimensionality reduction for classification
needs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111
Gangl S., Mongus D. and Žalik B.
An efficient eigenspace updating scheme for high-dimensional systems . . . . . . . .123
Kulczycki P. and Łukasik S.
An algorithmfor reducing the dimension and size of a sample for data exploration
procedures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133
Sabo K.
Center-based l1-clusteringmethod. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151
Pławiak P. and Tadeusiewicz R.
Approximation of phenol concentration using novel hybrid computational
intelligence methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .165
Jaśkowski W., Krawiec K. and Wieloch B.
Cross-task code reuse in genetic programming applied to visual
learning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183
Shaker A. and Hüllermeier E.
Survival analysis on data streams: Analyzing temporal events in dynamically
changing environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .199
Szwed P. and Skrzyński P.
A new lightweight method for security risk assessment based on fuzzy cognitive maps .. . 213