Nathan Intrator

	2011
50		Sasha Apartsin, Leon N. Cooper, Nathan Intrator: Biosonar-inspired Source Localization in Low SNR. BIOSIGNALS 2011: 399-404
49		Yehudit Hasson-Meir, Andrey Zhdanov, Talma Hendler, Nathan Intrator: Inference of Brain Mental States from Spatio-temporal Analysis of EEG Single Trials. BIOSIGNALS 2011: 59-66
48		David Hadas, Galit Yovel, Nathan Intrator: Using unsupervised incremental learning to cope with gradual concept drift. Connect. Sci. 23(1): 65-83 (2011)
	2009
47		Tal Steinherz, David S. Doermann, Ehud Rivlin, Nathan Intrator: Offline Loop Investigation for Handwriting Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 193-209 (2009)
	2008
46		Guy Amit, Jonathan Lessick, Noam Gavriely, Nathan Intrator: Acoustic Indices of Cardiac Functionality. BIOSIGNALS (2) 2008: 77-83
	2007
45		Omer Berkman, Nathan Intrator: Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. MCS 2007: 479-489
44		Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator: Ensemble-based Feature Selection Criteria. MLDM Posters 2007: 168-182
	2006
43		Kio Kim, Nicola Neretti, Nathan Intrator: Video Enhancement for Underwater Exploration Using Forward Looking Sonar. ACIVS 2006: 554-563
	2005
42		Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf: Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. NIPS 2005
41		Tal Steinherz, Ehud Rivlin, Nathan Intrator, Predrag Neskovic: An Integration of Online and Pseudo-Online Information for Cursive Word Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 669-683 (2005)
	2004
40		Shimon Cohen, Nathan Intrator: On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network. IJPRAI 18(5): 847-865 (2004)
	2003
39		Shimon Cohen, Nathan Intrator: Ensemble of hybrid networks with strong regularization. ESANN 2003: 337-342
38		Shimon Cohen, Nathan Intrator: A Study of Ensemble of Hybrid Networks with Strong Regularization. Multiple Classifier Systems 2003: 227-235
37		Shimon Edelman, Nathan Intrator: Towards structural systematicity in distributed, statically bound visual representations. Cognitive Science 27(1): 73-109 (2003)
36		Shimon Edelman, Nathan Intrator: Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel. Cognitive Science 27(2): 331-332 (2003)
35		Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani: The Effect of Noise on a Class of Energy-Based Learning Rules. Neural Computation 15(7): 1621-1640 (2003)
	2002
34		Shimon Edelman, Nathan Intrator, Judah S. Jacobson: Unsupervised Learning of Visual Structure. Biologically Motivated Computer Vision 2002: 629-642
33		Shimon Cohen, Nathan Intrator: Forward and Backward Selection in Regression Hybrid Network. Multiple Classifier Systems 2002: 98-107
32		Shimon Cohen, Nathan Intrator: Automatic model selection in a hybrid perceptron/radial network. Information Fusion 3(4): 259-266 (2002)
31		Daniel Remondini, Nathan Intrator, Gastone C. Castellani, F. Bersani, Leon N. Cooper: Optimal spontaneous activity in neural network modeling. Neurocomputing 44-46: 591-595 (2002)
30		Shimon Cohen, Nathan Intrator: A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global Optimisation. Pattern Anal. Appl. 5(2): 113-120 (2002)
	2001
29		Shimon Cohen, Nathan Intrator: Automatic Model Selection in a Hybrid Perceptron/Radial Network. Multiple Classifier Systems 2001: 440-454
28		Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Nathan Intrator: Probabilistic principles in unsupervised learning of visual structure: human data and a model. NIPS 2001: 19-26
	2000
27		Inna Stainvas, Nathan Intrator: Blurred Face Recognition via a Hybrid Network Architecture. ICPR 2000: 2805-2808
26		Shimon Cohen, Nathan Intrator: A Hybrid Projection Based and Radial Basis Function Architecture. Multiple Classifier Systems 2000: 147-156
25		Shimon Edelman, Nathan Intrator: A Productive, Systematic Framework for the Representation of Visual Structure. NIPS 2000: 10-16
	1999
24		Tal Steinherz, Nathan Intrator, Ehud Rivlin: Skew Detection via Principal Components Analysis. ICDAR 1999: 153-156
23		Tal Steinherz, Ehud Rivlin, Nathan Intrator: Offline cursive script word recognition - a survey. IJDAR 2(2-3): 90-110 (1999)
22		Ran Avnimelech, Nathan Intrator: Boosted Mixture Of Experts: An Ensemble Learning Scheme. Neural Computation 11(2): 483-497 (1999)
21		Ran Avnimelech, Nathan Intrator: Boosting Regression Estimators. Neural Computation 11(2): 499-520 (1999)
	1998
20		Yocheved Dotan, Nathan Intrator: Multimodality exploration by an unsupervised projection pursuit neural network. IEEE Transactions on Neural Networks 9(3): 464-472 (1998)
19		Yair Shimshoni, Nathan Intrator: Classification of seismic signals by integrating ensembles of neural networks. IEEE Transactions on Signal Processing 46(5): 1194-1201 (1998)
18		Q. Q. Huynh, Leon N. Cooper, Nathan Intrator, Harel Z. Shouval: Classification of underwater mammals using feature extraction based on time-frequency analysis and BCM theory. IEEE Transactions on Signal Processing 46(5): 1202-1207 (1998)
17		Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper: Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. Neural Computation 10(7): 1797-1813 (1998)
	1997
16		Ariel Tankus, Hezy Yeshurun, Nathan Intrator: Face Detection by Direct Convexity Estimation. AVBPA 1997: 43-50
15		Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper: Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. NIPS 1997
14		Ariel Tankus, Yehezkel Yeshurun, Nathan Intrator: Face detection by direct convexity estimation. Pattern Recognition Letters 18(9): 913-922 (1997)
	1996
13		David Horn, Ury Naftaly, Nathan Intrator: Large Ensemble Averaging. Neural Networks: Tricks of the Trade 1996: 133-139
12		Nathan Intrator: Making a Low-dimensional Representation Suitable for Diverse Tasks. Connect. Sci. 8(2): 205-224 (1996)
11		Yuval Raviv, Nathan Intrator: Bootstrapping with Noise: An Effective Regularization Technique. Connect. Sci. 8(3): 355-372 (1996)
10		Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun: Face recognition using a hybrid supervised/unsupervised neural network. Pattern Recognition Letters 17(1): 67-76 (1996)
	1993
9		Nathan Intrator, Joshua I. Gold: Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features. Neural Computation 5(1): 61-74 (1993)
8		Nathan Intrator: Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks. Neural Computation 5(3): 443-455 (1993)
	1992
7		Gary Tajchman, Nathan Intrator: Phonetic classification of timit segments preprocessed with lyon's cochlear model using a supervised/unsupervised hybrid neural network. ICSLP 1992
6		Nathan Intrator: On the Use of Projection Pursuit Constraints for Training Neural Networks. NIPS 1992: 3-10
5		Nathan Intrator: Feature Extraction Using an Unsupervised Neural Network. Neural Computation 4(1): 98-107 (1992)
4		Nathan Intrator, Leon N. Cooper: Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions. Neural Networks 5(1): 3-17 (1992)
	1991
3		Nathan Intrator, Joshua I. Gold, Heinrich H. Bülthoff, Shimon Edelman: 3D Object Recognition Using Unsupervised Feature Extraction. NIPS 1991: 460-467
	1990
2		Nathan Intrator: Exploratory Feature Extraction in Speech Signals. NIPS 1990: 241-247
	1989
1		Nathan Intrator: A Neural Network for Feature Extraction. NIPS 1989: 719-726

Coauthor Index

1	Guy Amit	[46]
2	Sasha Apartsin	[50]
3	Yaniv Assaf	[42]
4	Ran Avnimelech	[21] [22]
5	Armando Bazzani	[35]
6	Omer Berkman	[45]
7	F. Bersani	[31]
8	Brian S. Blais	[15] [17]
9	Heinrich H. Bülthoff	[3]
10	Gastone C. Castellani	[31] [35]
11	Shimon Cohen	[26] [29] [30] [32] [33] [38] [39] [40]
12	Leon N. Cooper	[4] [15] [17] [18] [31] [50]
13	David S. Doermann	[47]
14	Yocheved Dotan	[20]
15	Shimon Edelman	[3] [25] [28] [34] [36] [37]
16	Niv Effron	[44]
17	Noam Gavriely	[46]
18	Joshua I. Gold	[3] [9]
19	David Hadas	[48]
20	Yehudit Hasson-Meir	[49]
21	Talma Hendler	[49]
22	Benjamin P. Hiles	[28]
23	David Horn	[13]
24	Q. Q. Huynh	[18]
25	Judah S. Jacobson	[34]
26	Kio Kim	[43]
27	Jonathan Lessick	[46]
28	Ury Naftaly	[13]
29	Nicola Neretti	[43]
30	Predrag Neskovic	[41]
31	Ofer Pasternak	[42]
32	Matthew Prior	[44]
33	Yuval Raviv	[11]
34	Daniel Reisfeld	[10]
35	Daniel Remondini	[31] [35]
36	Ehud Rivlin	[23] [24] [41] [47]
37	Yair Shimshoni	[19]
38	Harel Z. Shouval	[15] [17] [18]
39	Nir A. Sochen	[42]
40	Inna Stainvas	[27]
41	Tal Steinherz	[23] [24] [41] [47]
42	Gary Tajchman	[7]
43	Ariel Tankus	[14] [16]
44	Terry Windeatt	[44]
45	Hwajin Yang	[28]
46	Hezy Yeshurun	[16]
47	Yehezkel Yeshurun	[10] [14]
48	Galit Yovel	[48]
49	Andrey Zhdanov	[49]

Colors in the list of coauthors

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