Nathan Intrator

Publication Activity (10 Years)

Years Active: 1989-2022
Publications (10 Years): 4

Top Topics

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

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)
Neta B. Maimon, Lior Molcho, Nathan Intrator, Dominique Lamy
Novel Single-Channel EEG Features Correlate with Working Memory Load. LifeTech (2021)
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 (2019)
Gaddi Blumrosen, Yael Miron, Nathan Intrator, Meir Plotnik
A Real-Time Kinect Signature-Based Patient Home Monitoring System. Sensors 16 (11) (2016)
Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator
Heart Sounds. IEEE Trans. Biomed. Eng. 62 (4) (2015)
Gaddi Blumrosen, Yael Miron, Meir Plotnik, Nathan Intrator
Towards a real time kinect signature based human activity assessment at home. BSN (2015)
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) (2014)
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 (2014)
Yehudit Meir-Hasson, Sivan Kinreich, Ilana Podlipsky, Talma Hendler, Nathan Intrator
An EEG Finger-Print of fMRI deep regional activation. NeuroImage 102 (2014)
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) (2014)
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) (2014)
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) (2012)
Nimrod Bar-Yaakov, Zehava Grossman, Nathan Intrator
Using Iterative Ridge Regression to Explore Associations Between Conditioned Variables. J. Comput. Biol. 19 (5) (2012)
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) (2011)
Sasha Apartsin, Leon N. Cooper, Nathan Intrator
Biosonar-inspired Source Localization in Low SNR. BIOSIGNALS (2011)
Shahar Jamshy, Omri Perez, Yehezkel Yeshurun, Talma Hendler, Nathan Intrator
Searchlight Based Feature Extraction. MLINI (2011)
David Hadas, Galit Yovel, Nathan Intrator
Using unsupervised incremental learning to cope with gradual concept drift. Connect. Sci. 23 (1) (2011)
Yehudit Hasson-Meir, Andrey Zhdanov, Talma Hendler, Nathan Intrator
Inference of Brain Mental States from Spatio-temporal Analysis of EEG Single Trials. BIOSIGNALS (2011)
Sivan Kinreich, Ilana Podlipsky, Nathan Intrator, Talma Hendler
Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation. MLINI (2011)
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)
Tal Steinherz, David S. Doermann, Ehud Rivlin, Nathan Intrator
Offline Loop Investigation for Handwriting Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 31 (2) (2009)
Guy Amit, Noam Gavriely, Nathan Intrator
Cluster analysis and classification of heart sounds. Biomed. Signal Process. Control. 4 (1) (2009)
Guy Amit, Jonathan Lessick, Noam Gavriely, Nathan Intrator
Acoustic Indices of Cardiac Functionality. BIOSIGNALS (2) (2008)
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) (2008)
Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator
Ensemble-based Feature Selection Criteria. MLDM Posters (2007)
Andrey Zhdanov, Talma Hendler, Leslie Ungerleider, Nathan Intrator
Inferring Functional Brain States Using Temporal Evolution of Regularized Classifiers. Comput. Intell. Neurosci. 2007 (2007)
Omer Berkman, Nathan Intrator
Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. MCS (2007)
Kio Kim, Nicola Neretti, Nathan Intrator
Video Enhancement for Underwater Exploration Using Forward Looking Sonar. ACIVS (2006)
Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf
Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. NIPS (2005)
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) (2005)
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) (2004)
Kio Kim, Nathan Intrator, Nicola Neretti
Image registration and mosaicing of noisy acoustic camera images. ICECS (2004)
Nicola Neretti, Nathan Intrator, Leon N. Cooper
Adaptive pulse optimization for improved sonar range accuracy. IEEE Signal Process. Lett. 11 (4) (2004)
Shimon Edelman, Nathan Intrator
Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel. Cogn. Sci. 27 (2) (2003)
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) (2003)
Shimon Cohen, Nathan Intrator
A Study of Ensemble of Hybrid Networks with Strong Regularization. Multiple Classifier Systems (2003)
Shimon Edelman, Nathan Intrator
Towards structural systematicity in distributed, statically bound visual representations. Cogn. Sci. 27 (1) (2003)
Shimon Cohen, Nathan Intrator
Ensemble of hybrid networks with strong regularization. ESANN (2003)
Daniel Remondini, Nathan Intrator, Gastone C. Castellani, F. Bersani, Leon N. Cooper
Optimal spontaneous activity in neural network modeling. Neurocomputing (2002)
David S. Doermann, Nathan Intrator, Ehud Rivlin, Tal Steinherz
Hidden loop recovery for handwriting recognition. IWFHR (2002)
Shimon Edelman, Nathan Intrator, Judah S. Jacobson
Unsupervised Learning of Visual Structure. Biologically Motivated Computer Vision (2002)
Shimon Cohen, Nathan Intrator
Forward and Backward Selection in Regression Hybrid Network. Multiple Classifier Systems (2002)
Shimon Cohen, Nathan Intrator
A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global Optimisation. Pattern Anal. Appl. 5 (2) (2002)
Nicola Neretti, Nathan Intrator
An adaptive approach to wavelet filters design. NNSP (2002)
Shimon Cohen, Nathan Intrator
Automatic model selection in a hybrid perceptron/radial network. Inf. Fusion 3 (4) (2002)
Shimon Cohen, Nathan Intrator
Automatic Model Selection in a Hybrid Perceptron/Radial Network. Multiple Classifier Systems (2001)
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Nathan Intrator
Probabilistic principles in unsupervised learning of visual structure: human data and a model. NIPS (2001)
Inna Stainvas, Nathan Intrator
Blurred Face Recognition via a Hybrid Network Architecture. ICPR (2000)
Shimon Edelman, Nathan Intrator
A Productive, Systematic Framework for the Representation of Visual Structure. NIPS (2000)
Shimon Cohen, Nathan Intrator
A Hybrid Projection Based and Radial Basis Function Architecture. Multiple Classifier Systems (2000)
Ran Avnimelech, Nathan Intrator
Boosting Regression Estimators. Neural Comput. 11 (2) (1999)
Tal Steinherz, Nathan Intrator, Ehud Rivlin
Skew Detection via Principal Components Analysis. ICDAR (1999)
Tal Steinherz, Ehud Rivlin, Nathan Intrator
Offline cursive script word recognition - a survey. Int. J. Document Anal. Recognit. 2 (2-3) (1999)
Ran Avnimelech, Nathan Intrator
Boosted Mixture Of Experts: An Ensemble Learning Scheme. Neural Comput. 11 (2) (1999)
Yair Shimshoni, Nathan Intrator
Classification of seismic signals by integrating ensembles of neural networks. IEEE Trans. Signal Process. 46 (5) (1998)
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) (1998)
Yocheved Dotan, Nathan Intrator
Multimodality exploration by an unsupervised projection pursuit neural network. IEEE Trans. Neural Networks 9 (3) (1998)
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) (1998)
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)
Ariel Tankus, Yehezkel Yeshurun, Nathan Intrator
Face detection by direct convexity estimation. Pattern Recognit. Lett. 18 (9) (1997)
Orna Intrator, Nathan Intrator
Robust Interpretation of Neural Network models. AISTATS (1997)
Ariel Tankus, Hezy Yeshurun, Nathan Intrator
Face Detection by Direct Convexity Estimation. AVBPA (1997)
Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun
Face recognition using a hybrid supervised/unsupervised neural network. Pattern Recognit. Lett. 17 (1) (1996)
Yuval Raviv, Nathan Intrator
Bootstrapping with Noise: An Effective Regularization Technique. Connect. Sci. 8 (3) (1996)
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) (1996)
Nathan Intrator
Making a Low-dimensional Representation Suitable for Diverse Tasks. Connect. Sci. 8 (2) (1996)
Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun
Face recognition using a hybrid supervised/unsupervised neural network. ICPR (2) (1994)
Ury Naftaly, Iris Ginzburg, David Horn, Nathan Intrator
Averaged and decorrelated neural networks as a time-series predictor. ICPR (2) (1994)
Nathan Intrator, Joshua I. Gold
Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features. Neural Comput. 5 (1) (1993)
Nathan Intrator
Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks. Neural Comput. 5 (3) (1993)
Nathan Intrator
Feature Extraction Using an Unsupervised Neural Network. Neural Comput. 4 (1) (1992)
Nathan Intrator, Leon N. Cooper
Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions. Neural Networks 5 (1) (1992)
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)
Nathan Intrator
On the Use of Projection Pursuit Constraints for Training Neural Networks. NIPS (1992)
Nathan Intrator, Joshua I. Gold, Heinrich H. Bülthoff, Shimon Edelman
3D Object Recognition Using Unsupervised Feature Extraction. NIPS (1991)
Nathan Intrator
Exploratory Feature Extraction in Speech Signals. NIPS (1990)
Nathan Intrator
A Neural Network for Feature Extraction. NIPS (1989)