Leon Bobrowski
Leon Bobrowski
Verified email at pb.edu.pl
Title
Cited by
Cited by
Year
C-means clustering with the l/sub l/and l/sub infinity/norms
L Bobrowski, JC Bezdek
IEEE Transactions on Systems, Man, and Cybernetics 21 (3), 545-554, 1991
2371991
Design of piecewise linear classifiers from formal neurons by a basis exchange technique
L Bobrowski
Pattern Recognition 24 (9), 863-870, 1991
811991
A method of synthesis of linear discriminant function in the case of nonseparability
L Bobrowski, W Niemiro
Pattern Recognition 17 (2), 205-210, 1984
361984
Feature selection based on some homogeneity coefficient
L Bobrowski
[1988 Proceedings] 9th International Conference on Pattern Recognition, 544-546, 1988
281988
Feature selection based on relaxed linear separability
L Bobrowski, T Łukaszuk
Biocybernetics and Biomedical Engineering 29 (2), 43-59, 2009
262009
Design of neural classifying networks by using dipolar criterions
L Bobrowski, M Kretowska, M Kretowski
Proc. of the Third Conference on Neural Networks and Their Applications …, 1997
261997
Piecewise-linear classifiers, formal neurons and separability of the learning sets
L Bobrowski
Proceedings of 13th International Conference on Pattern Recognition 4, 224-228, 1996
261996
Eksploracja danych oparta na wypukłych i odcinkowo-liniowych funkcjach kryterialnych
L Bobrowski
Wydaw. Politechniki Białostockiej, 2005
232005
Relaxed linear separability (RLS) approach to feature (gene) subset selection
L Bobrowski, T Łukaszuk
Selected works in bioinformatics, 103-118, 2011
222011
Eksploracja danych oparta na wypukłych i odcinkowo-liniowych funkcjach kryterialnych (Data mining based on convex and piecewise linear (CPL) criterion functions)
L Bobrowski
Technical University Białystok, 2005
212005
Data mining based on convex and piecewise linear (CPL) criterion functions
L Bobrowski
Technical University Białystok, 2005
192005
Induction of multivariate decision trees by using dipolar criteria
L Bobrowski, M Kretowski
European Conference on Principles of Data Mining and Knowledge Discovery …, 2000
192000
HEPAR: Computer system for diagnosis support and data analysis
L Bobrowski
Prace IBIB 31, 27-48, 1992
171992
Improving the K-NN classification with the Euclidean distance through linear data transformations
L Bobrowski, M Topczewska
Industrial Conference on Data Mining, 23-32, 2004
152004
Discovering main vertexical planes in a multivariate data space by using CPL functions
L Bobrowski
Industrial Conference on Data Mining, 200-213, 2014
142014
Selection of the linearly separable feature subsets
L Bobrowski, T Lukaszuk
International Conference on Artificial Intelligence and Soft Computing, 544-549, 2004
142004
Diagnosis supporting rules of the Hepar system.
L Bobrowski, H Wasyluk
Studies in health technology and informatics 84 (Pt 2), 1309-1313, 2001
142001
Linear discrimination with symmetrical models
L Bobrowski
Pattern recognition 19 (1), 101-109, 1986
141986
Linear classifiers by window training
L Bobrowski, J Sklansky
IEEE transactions on systems, man, and cybernetics 25 (1), 1-9, 1995
131995
Learning processes in multilayer threshold nets
L Bobrowski
Biological Cybernetics 31 (1), 1-6, 1978
101978
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