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ORCIDNathan Intrator
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- affiliation: Tel Aviv University, Blavatnik School of Computer Science, Israel
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Journal Articles
- 2019
[j41]Noam Goldway, Jacob Ablin, Omer Lubin, Yoav Zamir, Nimrod Jakob Keynan, Ayelet Or-Borichev, Marc Cavazza, Fred Charles
, Nathan Intrator, Silviu Brill, Eti Ben-Simon, Haggai Sharon, Talma Hendler:
Volitional limbic neuromodulation exerts a beneficial clinical effect on Fibromyalgia. NeuroImage 186: 758-770 (2019)- 2016
- [j40]Gaddi Blumrosen, Yael Miron, Nathan Intrator, Meir Plotnik:
A Real-Time Kinect Signature-Based Patient Home Monitoring System. Sensors 16(11): 1965 (2016) - 2015
- [j39]Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator:
Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds. IEEE Trans. Biomed. Eng. 62(4): 1169-1178 (2015) - 2014
- [j38]Sivan Kinreich, Ilana Podlipsky, Shahar Jamshy, Nathan Intrator, Talma Hendler:
Neural dynamics necessary and sufficient for transition into pre-sleep induced by EEG NeuroFeedback. NeuroImage 97: 19-28 (2014) - [j37]Yehudit Meir-Hasson, Sivan Kinreich, Ilana Podlipsky, Talma Hendler, Nathan Intrator:
An EEG Finger-Print of fMRI deep regional activation. NeuroImage 102: 128-141 (2014) - [j36]Alexander Apartsin, Leon N. Cooper, Nathan Intrator:
Energy-Efficient Time-of-Flight Estimation in the Presence of Outliers: A Machine Learning Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1306-1313 (2014) - [j35]Alexander Apartsin, Leon N. Cooper, Nathan Intrator:
Time-of-Flight Estimation in the Presence of Outliers Part I - Single Echo Processing. IEEE Trans. Geosci. Remote. Sens. 52(6): 3382-3392 (2014) - [j34]Alexander Apartsin, Leon N. Cooper, Nathan Intrator:
Time-of-Flight Estimation in the Presence of Outliers. Part II - Multiple Echo Processing. IEEE Trans. Geosci. Remote. Sens. 52(7): 3843-3850 (2014) - 2012
- [j33]Svetlana Kofman, Amitai Bickel, Arie Eitan, Atalia Weiss, Noam Gavriely, Nathan Intrator:
Discovery of multiple level heart-sound morphological variability resulting from changes in physiological states. Biomed. Signal Process. Control. 7(4): 315-324 (2012) - [j32]Nimrod Bar-Yaakov, Zehava Grossman, Nathan Intrator:
Using Iterative Ridge Regression to Explore Associations Between Conditioned Variables. J. Comput. Biol. 19(5): 504-518 (2012) - 2011
- [j31]Sivan Kinreich, Nathan Intrator, Talma Hendler:
Functional Cliques in the Amygdala and Related Brain Networks Driven by Fear Assessment Acquired During Movie Viewing. Brain Connect. 1(6): 484-495 (2011) - [j30]David Hadas, Galit Yovel, Nathan Intrator:
Using unsupervised incremental learning to cope with gradual concept drift. Connect. Sci. 23(1): 65-83 (2011) - 2009
- [j29]Guy Amit, Noam Gavriely, Nathan Intrator:
Cluster analysis and classification of heart sounds. Biomed. Signal Process. Control. 4(1): 26-36 (2009) - [j28]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
- [j27]Kio Kim, Nicola Neretti, Nathan Intrator:
MAP fusion method for superresolution of images with locally varying pixel quality. Int. J. Imaging Syst. Technol. 18(4): 242-250 (2008) - 2007
- [j26]Andrey Zhdanov, Talma Hendler, Leslie Ungerleider, Nathan Intrator:
Inferring Functional Brain States Using Temporal Evolution of Regularized Classifiers. Comput. Intell. Neurosci. 2007 (2007) - 2005
- [j25]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
- [j24]Shimon Cohen, Nathan Intrator:
On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network. Int. J. Pattern Recognit. Artif. Intell. 18(5): 847-865 (2004) - [j23]Nicola Neretti, Nathan Intrator, Leon N. Cooper:
Adaptive pulse optimization for improved sonar range accuracy. IEEE Signal Process. Lett. 11(4): 409-412 (2004) - 2003
- [j22]Shimon Edelman, Nathan Intrator:
Towards structural systematicity in distributed, statically bound visual representations. Cogn. Sci. 27(1): 73-109 (2003) - [j21]Shimon Edelman, Nathan Intrator:
Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel. Cogn. Sci. 27(2): 331-332 (2003) - [j20]Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani:
The Effect of Noise on a Class of Energy-Based Learning Rules. Neural Comput. 15(7): 1621-1640 (2003) - 2002
- [j19]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) - [j18]Shimon Cohen, Nathan Intrator:
Automatic model selection in a hybrid perceptron/radial network. Inf. Fusion 3(4): 259-266 (2002) - [j17]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) - 1999
- [j16]Tal Steinherz, Ehud Rivlin, Nathan Intrator:
Offline cursive script word recognition - a survey. Int. J. Document Anal. Recognit. 2(2-3): 90-110 (1999) - [j15]Ran Avnimelech, Nathan Intrator:
Boosted Mixture Of Experts: An Ensemble Learning Scheme. Neural Comput. 11(2): 483-497 (1999) - [j14]Ran Avnimelech, Nathan Intrator:
Boosting Regression Estimators. Neural Comput. 11(2): 499-520 (1999) - 1998
- [j13]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 Comput. 10(7): 1797-1813 (1998) - [j12]Yocheved Dotan, Nathan Intrator:
Multimodality exploration by an unsupervised projection pursuit neural network. IEEE Trans. Neural Networks 9(3): 464-472 (1998) - [j11]Yair Shimshoni, Nathan Intrator:
Classification of seismic signals by integrating ensembles of neural networks. IEEE Trans. Signal Process. 46(5): 1194-1201 (1998) - [j10]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 Trans. Signal Process. 46(5): 1202-1207 (1998) - 1997
- [j9]Ariel Tankus, Yehezkel Yeshurun, Nathan Intrator:
Face detection by direct convexity estimation. Pattern Recognit. Lett. 18(9): 913-922 (1997) - 1996
- [j8]Nathan Intrator:
Making a Low-dimensional Representation Suitable for Diverse Tasks. Connect. Sci. 8(2): 205-224 (1996) - [j7]Yuval Raviv, Nathan Intrator:
Bootstrapping with Noise: An Effective Regularization Technique. Connect. Sci. 8(3): 355-372 (1996) - [j6]Harel Z. Shouval, Nathan Intrator, C. Charles Law, Leon N. Cooper:
Effect of Binocular Cortical Misalignment on Ocular Dominance and Orientation Selectivity. Neural Comput. 8(5): 1021-1040 (1996) - [j5]Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun:
Face recognition using a hybrid supervised/unsupervised neural network. Pattern Recognit. Lett. 17(1): 67-76 (1996) - 1993
- [j4]Nathan Intrator, Joshua I. Gold:
Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features. Neural Comput. 5(1): 61-74 (1993) - [j3]Nathan Intrator:
Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks. Neural Comput. 5(3): 443-455 (1993) - 1992
- [j2]Nathan Intrator:
Feature Extraction Using an Unsupervised Neural Network. Neural Comput. 4(1): 98-107 (1992) - [j1]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)
Conference and Workshop Papers
- 2022
- [c36]Neta B. Maimon, Lior Molcho, Efraim Jaul, Nathan Intrator, Jeremy Barron, Oded Meiron:
EEG reactivity changes captured via mobile BCI device following tDCS intervention - a pilot-study in disorders of consciousness (DOC) patients. BCI 2022: 1-3 - 2021
- [c35]Neta B. Maimon, Lior Molcho, Nathan Intrator, Dominique Lamy:
Novel Single-Channel EEG Features Correlate with Working Memory Load. LifeTech 2021: 471-472 - 2015
- [c34]Gaddi Blumrosen, Yael Miron, Meir Plotnik, Nathan Intrator:
Towards a real time kinect signature based human activity assessment at home. BSN 2015: 1-6 - 2011
- [c33]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 - [c32]Yehudit Meir-Hasson, Andrey Zhdanov, Talma Hendler, Nathan Intrator:
A Robust and Efficient Spatio-Temporal Feature Selection for Interpretation of EEG Single Trials. BIOSTEC (Selected Papers) 2011: 219-232 - [c31]Sasha Apartsin, Leon N. Cooper, Nathan Intrator:
Biosonar-inspired Source Localization in Low SNR. BIOSIGNALS 2011: 399-404 - [c30]Shahar Jamshy, Omri Perez, Yehezkel Yeshurun, Talma Hendler, Nathan Intrator:
Searchlight Based Feature Extraction. MLINI 2011: 17-25 - [c29]Sivan Kinreich, Ilana Podlipsky, Nathan Intrator, Talma Hendler:
Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation. MLINI 2011: 108-115 - 2008
- [c28]Guy Amit, Jonathan Lessick, Noam Gavriely, Nathan Intrator:
Acoustic Indices of Cardiac Functionality. BIOSIGNALS (2) 2008: 77-83 - 2007
- [c27]Omer Berkman, Nathan Intrator:
Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. MCS 2007: 479-489 - [c26]Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator:
Ensemble-based Feature Selection Criteria. MLDM Posters 2007: 168-182 - 2006
- [c25]Kio Kim, Nicola Neretti, Nathan Intrator:
Video Enhancement for Underwater Exploration Using Forward Looking Sonar. ACIVS 2006: 554-563 - 2005
- [c24]Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf:
Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. NIPS 2005: 1075-1080 - 2004
- [c23]Kio Kim, Nathan Intrator, Nicola Neretti:
Image registration and mosaicing of noisy acoustic camera images. ICECS 2004: 527-530 - 2003
- [c22]Shimon Cohen, Nathan Intrator:
Ensemble of hybrid networks with strong regularization. ESANN 2003: 337-342 - [c21]Shimon Cohen, Nathan Intrator:
A Study of Ensemble of Hybrid Networks with Strong Regularization. Multiple Classifier Systems 2003: 227-235 - 2002
- [c20]Shimon Edelman, Nathan Intrator, Judah S. Jacobson:
Unsupervised Learning of Visual Structure. Biologically Motivated Computer Vision 2002: 629-642 - [c19]David S. Doermann, Nathan Intrator, Ehud Rivlin, Tal Steinherz:
Hidden loop recovery for handwriting recognition. IWFHR 2002: 375-380 - [c18]Shimon Cohen, Nathan Intrator:
Forward and Backward Selection in Regression Hybrid Network. Multiple Classifier Systems 2002: 98-107 - [c17]Nicola Neretti, Nathan Intrator:
An adaptive approach to wavelet filters design. NNSP 2002: 317-326 - 2001
- [c16]Shimon Cohen, Nathan Intrator:
Automatic Model Selection in a Hybrid Perceptron/Radial Network. Multiple Classifier Systems 2001: 440-454 - [c15]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
- [c14]Inna Stainvas, Nathan Intrator:
Blurred Face Recognition via a Hybrid Network Architecture. ICPR 2000: 2805-2808 - [c13]Shimon Cohen, Nathan Intrator:
A Hybrid Projection Based and Radial Basis Function Architecture. Multiple Classifier Systems 2000: 147-156 - [c12]Shimon Edelman, Nathan Intrator:
A Productive, Systematic Framework for the Representation of Visual Structure. NIPS 2000: 10-16 - 1999
- [c11]Tal Steinherz, Nathan Intrator, Ehud Rivlin:
Skew Detection via Principal Components Analysis. ICDAR 1999: 153-156 - 1997
- [c10]Orna Intrator, Nathan Intrator:
Robust Interpretation of Neural Network models. AISTATS 1997: 255-262 - [c9]Ariel Tankus, Hezy Yeshurun, Nathan Intrator:
Face Detection by Direct Convexity Estimation. AVBPA 1997: 43-50 - [c8]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: 423-429 - 1994
- [c7]Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun:
Face recognition using a hybrid supervised/unsupervised neural network. ICPR (2) 1994: 50-54 - [c6]Ury Naftaly, Iris Ginzburg, David Horn, Nathan Intrator:
Averaged and decorrelated neural networks as a time-series predictor. ICPR (2) 1994: 429-432 - 1992
- [c5]Gary N. Tajchman, Nathan Intrator:
Phonetic classification of timit segments preprocessed with lyon's cochlear model using a supervised/unsupervised hybrid neural network. ICSLP 1992: 77-80 - [c4]Nathan Intrator:
On the Use of Projection Pursuit Constraints for Training Neural Networks. NIPS 1992: 3-10 - 1991
- [c3]Nathan Intrator, Joshua I. Gold, Heinrich H. Bülthoff, Shimon Edelman:
3D Object Recognition Using Unsupervised Feature Extraction. NIPS 1991: 460-467 - 1990
- [c2]Nathan Intrator:
Exploratory Feature Extraction in Speech Signals. NIPS 1990: 241-247 - 1989
- [c1]Nathan Intrator:
A Neural Network for Feature Extraction. NIPS 1989: 719-726
Parts in Books or Collections
- 2012
- [p3]David Horn, Ury Naftaly, Nathan Intrator:
Large Ensemble Averaging. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 131-137 - 1998
- [p2]Nathan Intrator, Shimon Edelman:
Making a Low-Dimensional Representation Suitable for Diverse Tasks. Learning to Learn 1998: 135-157 - 1996
- [p1]David Horn, Ury Naftaly, Nathan Intrator:
Large Ensemble Averaging. Neural Networks: Tricks of the Trade 1996: 133-139
Coauthor Index
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