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 | 181 | 2019 |
Toward a completely automatic neural-network-based human chromosome analysis B Lerner IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998 | 150 | 1998 |
Bayesian Network Structure Learning by Recursive Autonomy Identification. R Yehezkel, B Lerner Journal of Machine Learning Research 10 (7), 2009 | 131* | 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 | 121 | 1999 |
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 | 115* | 2011 |
The bayesian artmap B Vigdor, B Lerner IEEE Transactions on Neural Networks 18 (6), 1628-1644, 2007 | 102 | 2007 |
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 | 86 | 1998 |
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 | 84 | 1995 |
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 | 82 | 2007 |
Support vector machine-based image classification for genetic syndrome diagnosis A David, B Lerner Pattern Recognition Letters 26 (8), 1029-1038, 2005 | 82* | 2005 |
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 | 72 | 1994 |
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 | 65 | 1998 |
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 | 63 | 2001 |
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 | 61* | 2006 |
Investigation of the K2 algorithm in learning Bayesian network classifiers B Lerner, R Malka* Applied Artificial Intelligence 25 (1), 74-96, 2011 | 60 | 2011 |
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 | 45 | 2004 |
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 | 41 | 1996 |
A comparison of state-of-the-art classification techniques with application to cytogenetics B Lerner, ND Lawrence Neural Computing & Applications 10, 39-47, 2001 | 39 | 2001 |
A machine-learning model for automatic detection of movement compensations in stroke patients S Kashi, RF Polak, B Lerner, L Rokach, S Levy-Tzedek IEEE Transactions on Emerging Topics in Computing 9 (3), 1234-1247, 2020 | 37 | 2020 |