2008 |
24 | EE | Boaz Lerner,
Hugo Guterman:
Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification.
Computational Intelligence Paradigms 2008: 77-107 |
2007 |
23 | EE | Boaz Lerner,
Lev Koushnir,
Josepha Yeshaya:
Segmentation and Classification of Dot and Non-Dot-Like Fluorescence in situ Hybridization Signals for Automated Detection of Cytogenetic Abnormalities.
IEEE Transactions on Information Technology in Biomedicine 11(4): 443-449 (2007) |
22 | EE | Boaz Vigdor,
Boaz Lerner:
The Bayesian ARTMAP.
IEEE Transactions on Neural Networks 18(6): 1628-1644 (2007) |
21 | EE | Boaz Lerner,
Josepha Yeshaya,
Lev Koushnir:
On the Classification of a Small Imbalanced Cytogenetic Image Database.
IEEE/ACM Trans. Comput. Biology Bioinform. 4(2): 204-215 (2007) |
2006 |
20 | EE | Boaz Lerner,
Roy Malka:
Learning Bayesian Networks for Cytogenetic Image Classification.
ICPR (2) 2006: 772-775 |
19 | EE | Boaz Lerner,
Boaz Vigdor:
Image Classification for Genetic Diagnosis using Fuzzy ARTMAP.
ICPR (3) 2006: 362-365 |
18 | EE | Yaniv Gurwicz,
Boaz Lerner:
Bayesian Class-Matched Multinet Classifier.
SSPR/SPR 2006: 145-153 |
17 | EE | Raanan Yehezkel,
Boaz Lerner:
Bayesian Network Structure Learning by Recursive Autonomy Identification.
SSPR/SPR 2006: 154-162 |
16 | EE | Boaz Vigdor,
Boaz Lerner:
Accurate and Fast Off and Online Fuzzy ARTMAP-Based Image Classification With Application to Genetic Abnormality Diagnosis.
IEEE Transactions on Neural Networks 17(5): 1288-1300 (2006) |
2005 |
15 | EE | Yaniv Gurwicz,
Boaz Lerner:
Bayesian network classification using spline-approximated kernel density estimation.
Pattern Recognition Letters 26(11): 1761-1771 (2005) |
14 | EE | Amit David,
Boaz Lerner:
Support vector machine-based image classification for genetic syndrome diagnosis.
Pattern Recognition Letters 26(8): 1029-1038 (2005) |
2004 |
13 | EE | Amit David,
Boaz Lerner:
Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis.
ICPR (3) 2004: 490-493 |
12 | EE | Yaniv Gurwicz,
Boaz Lerner:
Rapid Spline-based Kernel Density Estimation for Bayesian Networks.
ICPR (3) 2004: 700-703 |
11 | EE | Boaz Lerner:
Bayesian fluorescence in situ hybridisation signal classification.
Artificial Intelligence in Medicine 30(3): 301-316 (2004) |
10 | EE | Roy Malka,
Boaz Lerner:
Classification of fluorescence in situ hybridization images using belief networks.
Pattern Recognition Letters 25(16): 1777-1785 (2004) |
2001 |
9 | | Boaz Lerner,
W. F. Clocksin,
S. Dhanjal,
M. A. Hulten,
Christopher M. Bishop:
Feature representation and signal classification in fluorescence in-situ hybridization image analysis.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 31(6): 655-665 (2001) |
8 | EE | Boaz Lerner,
Neil D. Lawrence:
A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics.
Neural Computing and Applications 10(1): 39-47 (2001) |
2000 |
7 | EE | W. F. Clocksin,
Boaz Lerner:
Automatic Analysis of Fluorescence In-Situ Hybridisation Images.
BMVC 2000 |
6 | EE | Boaz Lerner,
Hugo Guterman,
Mayer Aladjem,
Its'hak Dinstein:
On the Initialisation of Sammon's Nonlinear Mapping.
Pattern Anal. Appl. 3(1): 61-68 (2000) |
1999 |
5 | EE | Boaz Lerner,
Hugo Guterman,
Mayer Aladjem,
Its'hak Dinstein:
A comparative study of neural network based feature extraction paradigms.
Pattern Recognition Letters 20(1): 7-14 (1999) |
1998 |
4 | | Boaz Lerner:
Toward a completely automatic neural-network-based human chromosome analysis.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(4): 544-552 (1998) |
3 | EE | Boaz Lerner,
Hugo Guterman,
Mayer Aladjem,
Its'hak Dinstein,
Yitzhak Romem:
On pattern classification with Sammon's nonlinear mapping an experimental study.
Pattern Recognition 31(4): 371-381 (1998) |
1995 |
2 | EE | Boaz Lerner,
Hugo Guterman,
Its'hak Dinstein,
Yitzhak Romem:
Human chromosome classification using multilayer perceptron neural network.
Int. J. Neural Syst. 6(3): 359-370 (1995) |
1 | EE | Boaz Lerner,
Hugo Guterman,
Its'hak Dinstein,
Yitzhak Romem:
Medial axis transform-based features and a neural network for human chromosome classification.
Pattern Recognition 28(11): 1673-1683 (1995) |