Learning Bayesian network classifiers by risk
minimization
R Kelner and B Lerner
International Journal of
Approximate Reasoning, vol. 53, pp. 248-272, 2012.
Machine learning in predicting and explaining failure using class-imbalance FAB data
H Belyavin and B Lerner
21st
Inter. Conf. on Production Research (ICPR21), Stuttgart, Germany,
2011.
Trading between classification accuracy and information in
production
M Wienreb, B Lerner and G Rabinowitz
21st
Inter. Conf. on Production Research (ICPR21), Stuttgart, Germany,
2011.
Structure-based
identification of catalytic residues
R Yahalom, D Reshef,
A Wiener, S Frankel, N Kalisman,
B Lerner and C Keasar
Proteins: Structure, Function, and Bioinformatics, vol. 79, pp. 1952-1963, 2011.
Y Meidan, B Lerner, G Rabinowitz and M Hassoun
IEEE Transactions on Semiconductor Manufacturing, vol. 24, pp. 237-248, 2011.
Investigation of
the K2 algorithm in learning Bayesian network classifiers
B Lerner and R Malka
Applied Artificial
Intelligence,
vol. 25, pp. 74-96, 2011.
Bayesian
Network Structure Learning by Recursive Autonomy Identification
R Yehezkel and B Lerner
The Journal of Machine Learning
Research,
vol. 10, pp. 1527-1570, 2009.
Advanced
Developments and Applications of the Fuzzy ARTMAP
Neural Network in Pattern Classification
B Lerner and H Guterman
Computational Intelligence
Paradigms - Innovative Applications, (eds.) L C Jain and Sato, Springer-Verlag,
pp. 77-107, 2008.
B Vigdor and B Lerner
IEEE Transactions on Neural Networks, vol. 18(6), pp. 1628-1644,
2007.
Localization and
Magnetic Moment Estimation of a Ferromagnetic Target by Simmulated
Annealing
A Sheinker, B Lerner, N Salomonski, B Ginzburg, L Frumkis and BZ
Kaplan
Measurement Science and
Technology,
vol. 18, pp. 3451-3457, 2007.
B Lerner, L Koushnir
and J Yeshaya
IEEE Transactions on
Information Technology in Biomedicine, vol. 11(4), pp. 443-449, 2007.
On the
Classification of a Small Imbalanced Cytogenetic Image Database
B Lerner, J Yeshaya
and L Koushnir
IEEE Transactions on
Computational Biology & Bioinformatics, vol. 4(2), pp. 204-215, 2007.
Bayesian
Class-Matched Multinet Classifier
Y Gurwicz and B Lerner
SSPR/SPR, ser. Lecture Notes in Computer Science, vol. 4109, pp. 145-153,
2006.
Bayesian Network
Structure Learning by Recursive Autonomy Identification
R Yehezkel and B Lerner
SSPR/SPR, ser. Lecture Notes in Computer Science, vol. 4109, pp. 154-162,
2006.
Learning Bayesian Networks
for Pattern Classification
B Lerner
Invited tutorial at the 18th International Conference on
Pattern Recognition (ICPR2006), Hong-Kong, August
2006.
B Vigdor and B Lerner
IEEE Transactions on Neural
Networks,
vol. 17(5), pp. 1288-1300, 2006.
Bayesian
Network Classification using Spline-Approximated
Kernel Density Estimation
Y Gurwicz and B Lerner
Pattern Recognition Letters, vol. 26(11), pp. 1761-1771,
2005.
Recursive
Autonomy Identification for Bayesian Network Structure Learning
R Yehezkel and B Lerner
The 10th International Workshop on Artificial Intelligence
& Statistics, AISTATS 2005, 6-8 January,
2005, Barbados, pages 429-436.
Support Vector
Machine-based Image Classification for Genetic Syndrome Diagnosis
A David and B Lerner
Pattern Recognition Letters, vol. 26(8), pp. 1029-1038,
2005.
Classification
of Fluorescence In-Situ Hybridization Images using Belief Networks
R Malka and B Lerner
Pattern Recognition Letters, vol. 25(16), pp. 1777-1785,
2004.
Bayesian Fluorescence
in-situ Hybridization Signal Classification
B Lerner
Artificial Intelligence in Medicine, vol. 30(3), A special issue on Bayesian Models in Medicine, pp. 301-316,
2004.
Signal
Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis
A David and B Lerner
17th International Conference on Pattern Recognition (ICPR2004), 23-26 August, 2004, Cambridge, UK, Vol. 3, pp. 490-493.
Rapid Spline-based Kernel Density Estimation for Bayesian
Networks
Y Gurwicz and B Lerner
17th International Conference on Pattern Recognition (ICPR2004), 23-26 August, 2004, Cambridge, UK, Vol. 3, pp. 700-703.
An Empirical Study
of Fuzzy ARTMAP Applied to Cytogenetics
B Lerner and B Vigdor
23rd IEEE Convention of Electrical & Electronics
Engineers in Israel,
6-7 September, 2004 (IEEEI2004), Tel-Aviv,
Israel, pp. 301-304.
Belief Networks for
Cytogenetic Image Categorization
B Lerner and R Malka
23rd IEEE Convention of Electrical & Electronics
Engineers in Israel,
6-7 September, 2004 (IEEEI2004), Tel-Aviv,
Israel, pp. 297-300.
Fluorescence
In-Situ Hybridization Signal Discrimination in Medical Genetics
B Lerner
NNESMED 2003/CIMED 2003, Sheffield, pp. 29-34, 2003.
Introduction to Learning Probabilistic Graphical Models
B Lerner
Invited tutorial at Computational
Intelligence: Methods & Applications (CIMA'2001), ICSC
Academic Press, NL, 2001.
A Comparison of
State-of-the-Art Classification Techniques with Application to Cytogenetics
B Lerner and N D Lawrence
Neural Computing &
Applications,
vol. 10(1), pp. 39-47, 2001.
B Lerner, W F Clocksin, S Dhanjal, M A Hult'en and C M
Bishop
IEEE Transactions on Systems, Man
and Cybernetics, Part A: Systems & Humans, vol. 31(6), pp. 655-665,
2001.
Automatic Signal
Classification in Fluorescence in-situ Hybridization Images
B Lerner, W F Clocksin, S Dhanjal, M A Hult'en and C M
Bishop
Cytometry, vol.
43(2), pp. 87-93, 2001.
GELFISH
- Graphical Environment for Labelling Fluorescence
in-situ Hybridization Images
B Lerner, S Dhanjal and M A Hult'en
Journal of Microscopy, vol. 203(3), pp. 258-268,
2001.
On the Initialisation of Sammon's
Nonlinear Mapping
B Lerner, H Guterman, M Aladjem and I Dinstein
Pattern Analysis and
Applications,
3(1), 61-68, 2000.
A Comparative
Study of Neural Network based Feature Extraction Paradigms
B Lerner, H Guterman, M Aladjem and I Dinstein
Pattern Recognition Letters, vol. 20(1), pp. 7-14, 1999.
On Pattern
Classification with Sammon's Nonlinear Mapping - An
Experimental Study
B Lerner, H Guterman, M Aladjem, I
Dinstein and Y Romem
Pattern Recognition, vol. 31(4), pp. 371-381,
1998.
Toward a Completely
Automatic Neural Network based Human Chromosome Analysis
B Lerner
IEEE Transactions on Systems, Man
and Cybernetics. Special issue on Artificial Neural Networks, vol. 28(4), Part B, pp. 544-552, 1998.
B Lerner, H Guterman and I Dinstein
IEEE Transactions on Signal
Processing,
vol. 46(10), pp. 2841-2847, 1998.
Feature Extraction by
Neural Network Nonlinear Mapping for Pattern Classification
B Lerner, H Guterman, M Aladjem, I
Dinstein and Y Romem
The 13th International
Conference on Pattern Recognition, ICPR13, Vienna, vol. 4, pp 320-324, 1996.
Human Chromosome
Classification using Multilayer Perceptron Neural
Network
B Lerner, H Guterman, I Dinstein
and Y Romem
International Journal of
Neural Systems,
vol. 6(3), pp 359-370, 1995.
Medial
Axis Transform based Features and a Neural Network for Human Chromosome
Classification
B Lerner, H Guterman, I Dinstein
and Y Romem
Pattern Recognition, vol. 28(11), pp 1673-1683,
1995.
Unsupervized Feature Extraction for Nonlinear Supervized
Classification with Application to Chromosome Analysis
B Lerner, H Guterman, M Aladjem and I Dinstein
The International Conference
on Neural Information Processing, ICONIP95, Beijing, vol. 1, pp 279-284, 1995.
Feature Selection and
Learning Curves of a Multilayer Perceptron Chromosome
Classifier
B Lerner, H Guterman, I Dinstein
and Y Romem
The 12th International
Conference on Pattern Recognition, 12ICPR, Jerusalem, vol. 2, pp 497-499, 1994.
Medial Axis Transform based
Features and a Neural Network for Human Chromosome Classification
B Lerner, B Rosenberg, M Levinstein,
H Guterman, I Dinstein and Y Romem
World Congress on Neural
Networks, WCNN94,
San Diego, vol. 3, pp 173-178, 1994.
Feature
Selection and Chromosome Classification using a Multilayer Perceptron
Neural Network
B Lerner, M Levinstein, B
Rosenberg, H Guterman, I Dinstein and Y Romem
World Congress on
Computational Intelligence, WCCI'94, Orlando, vol. 6, pp 3540-3545, 1994.
A
Comparison of Multilayer Perceptron Neural Network
and and Bayes Piecewise
Classifier for Chromosome Classification
B Lerner, H Guterman, I Dinstein
and Y Romem
World Congress on
Computational Intelligence, WCCI'94, Orlando, vol. 6, pp 3472-3477, 1994.
B Lerner, H Guterman, I Dinstein
and Y Romem
World Congress on Neural
Networks, WCCN'94,
San Diego, vol. 3, pp 248-253, 1994.
`Tailored' Neural Networks to
Improve Image Classification
B Lerner, H Guterman, I Dinstein
and Y Romem
World Congress on Neural
Networks, WCNN94,
San Diego, vol. 4.
pp 327-331, 1994.
Classification of Human Chromosomes
by Two-Dimensional Fourier Transform Components
B Lerner, H Guterman and I Dinstein
World Congress on Neural
Networks, WCNN93,
Portland, vol. 3, pp 793-796, 1993.
Multilayer
Perceptron as a Human Chromosome Classifier
B Lerner, B Rosenberg, M Levinstein,
H Guterman, I Dinstein and Y Romem
Artificial Intelligence,
Computer Vision and Neural Networks, AICVNN'93, Kfar-Maccabiah,
207-216, 1993.
On
Classification of Human Chromosomes
B Lerner, H Guterman and I Dinstein
Neural Networks for Learning,
Recognition and Control,
Boston University, 1992.
Two-Frequency
Intensity Fluctuations in a Random Medium
B Lerner, M Tur
and Z Azar
SPIE, vol.
1038, 569-576, Tel-Aviv, 1988.
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maintained by Boaz Lerner (boaz@bgu.ac.il)