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Boaz Lerner
Boaz Lerner
Professor of Machine Learning, Ben-Gurion University
Verified email at bgu.ac.il - Homepage
Title
Cited by
Cited by
Year
Analyzing large-scale human mobility data: a survey of machine learning methods and applications
E Toch, B Lerner, E Ben-Zion, I Ben-Gal
Knowledge and Information Systems 58, 501-523, 2019
1712019
Toward a completely automatic neural-network-based human chromosome analysis
B Lerner
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998
1511998
Bayesian Network Structure Learning by Recursive Autonomy Identification.
R Yehezkel, B Lerner
Journal of Machine Learning Research 10 (7), 2009
127*2009
A comparative study of neural network based feature extraction paradigms
B Lerner, H Guterman, M Aladjem, I Dinstein
Pattern Recognition Letters 20 (1), 7-14, 1999
1201999
Cycle-time key factor identification and prediction in semiconductor manufacturing using machine learning and data mining
Y Meidan, B Lerner, G Rabinowitz, M Hassoun
IEEE transactions on semiconductor manufacturing 24 (2), 237-248, 2011
112*2011
The bayesian artmap
B Vigdor, B Lerner
IEEE Transactions on Neural Networks 18 (6), 1628-1644, 2007
1012007
On pattern classification with Sammon's nonlinear mapping an experimental study
B Lerner, H Guterman, M Aladjem, Y Romem
Pattern Recognition 31 (4), 371-381, 1998
851998
Medial axis transform-based features and a neural network for human chromosome classification
B Lerner, H Guterman, I Dinstein, Y Romem
Pattern Recognition 28 (11), 1673-1683, 1995
851995
Support vector machine-based image classification for genetic syndrome diagnosis
A David, B Lerner
Pattern Recognition Letters 26 (8), 1029-1038, 2005
81*2005
Localization and magnetic moment estimation of a ferromagnetic target by simulated annealing
A Sheinker, B Lerner, N Salomonski, B Ginzburg, L Frumkis, BZ Kaplan
Measurement Science and Technology 18 (11), 3451, 2007
802007
Feature selection and chromosome classification using a multilayer perceptron neural network
B Lerner, M Levinstein, B Rosenberg, H Guterman, I Dinstein, Y Romem
Neural Networks, 1994. IEEE World Congress on Computational Intelligence …, 1994
731994
A classification-driven partially occluded object segmentation (CPOOS) method with application to chromosome analysis
B Lerner, H Guterman, I Dinstein
IEEE Transactions on signal Processing 46 (10), 2841-2847, 1998
661998
Automatic signal classification in fluorescence in situ hybridization images
B Lerner, WF Clocksin, S Dhanjal, MA Hultén, CM Bishop
Cytometry: The Journal of the International Society for Analytical Cytology …, 2001
632001
Investigation of the K2 algorithm in learning Bayesian network classifiers
B Lerner, R Malka*
Applied Artificial Intelligence 25 (1), 74-96, 2011
602011
Accurate and fast off and online fuzzy ARTMAP-based image classification with application to genetic abnormality diagnosis
B Vigdor, B Lerner
IEEE Transactions on Neural Networks 17 (5), 1288-1300, 2006
60*2006
Feature representation and signal classification in fluorescence in-situ hybridization image analysis
B Lerner, WF Clocksin, S Dhanjal, MA Hultén, CM Bishop
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2001
58*2001
Bayesian fluorescence in situ hybridisation signal classification
B Lerner
Artificial Intelligence in Medicine 30 (3), 301-316, 2004
452004
Feature extraction by neural network nonlinear mapping for pattern classification
B Lerner, H Guterman, M Aladjem, I Dinstein, Y Romem
Proceedings of 13th International Conference on Pattern Recognition 4, 320-324, 1996
401996
A comparison of state-of-the-art classification techniques with application to cytogenetics
B Lerner, ND Lawrence
Neural Computing & Applications 10, 39-47, 2001
392001
Human chromosome classification using multilayer perceptron neural network
B Lerner, H Guterman, I Dinstein, Y Romem
International Journal of Neural Systems 6 (03), 359-370, 1995
36*1995
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