Nathan Intrator

According to our database, Nathan Intrator authored at least 76 papers between 1989 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

EEG reactivity changes captured via mobile BCI device following tDCS intervention - a pilot-study in disorders of consciousness (DOC) patients.

Neta B. Maimon, Lior Molcho, Efraim Jaul, Nathan Intrator, Jeremy Barron, Oded Meiron

Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

2021

Novel Single-Channel EEG Features Correlate with Working Memory Load.

Neta B. Maimon, Lior Molcho, Nathan Intrator, Dominique Lamy

Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

2019

Volitional limbic neuromodulation exerts a beneficial clinical effect on Fibromyalgia.

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

NeuroImage, 2019

2016

A Real-Time Kinect Signature-Based Patient Home Monitoring System.

Gaddi Blumrosen, Yael Miron, Nathan Intrator, Meir Plotnik

Sensors, 2016

2015

Monitoring Cardiac Stress Using Features Extracted From S₁ Heart Sounds.

Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator

IEEE Trans. Biomed. Eng., 2015

Towards a real time kinect signature based human activity assessment at home.

Gaddi Blumrosen, Yael Miron, Meir Plotnik, Nathan Intrator

Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

2014

Time-of-Flight Estimation in the Presence of Outliers. Part II - Multiple Echo Processing.

Alexander Apartsin, Leon N. Cooper, Nathan Intrator

IEEE Trans. Geosci. Remote. Sens., 2014

Time-of-Flight Estimation in the Presence of Outliers Part I - Single Echo Processing.

Alexander Apartsin, Leon N. Cooper, Nathan Intrator

IEEE Trans. Geosci. Remote. Sens., 2014

Energy-Efficient Time-of-Flight Estimation in the Presence of Outliers: A Machine Learning Approach.

Alexander Apartsin, Leon N. Cooper, Nathan Intrator

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

An EEG Finger-Print of fMRI deep regional activation.

Yehudit Meir-Hasson, Sivan Kinreich, Ilana Podlipsky, Talma Hendler, Nathan Intrator

NeuroImage, 2014

Neural dynamics necessary and sufficient for transition into pre-sleep induced by EEG NeuroFeedback.

Sivan Kinreich, Ilana Podlipsky, Shahar Jamshy, Nathan Intrator, Talma Hendler

NeuroImage, 2014

2012

Large Ensemble Averaging.

David Horn, Ury Naftaly, Nathan Intrator

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Using Iterative Ridge Regression to Explore Associations Between Conditioned Variables.

Nimrod Bar-Yaakov, Zehava Grossman, Nathan Intrator

J. Comput. Biol., 2012

Discovery of multiple level heart-sound morphological variability resulting from changes in physiological states.

Svetlana Kofman, Amitai Bickel, Arie Eitan, Atalia Weiss, Noam Gavriely, Nathan Intrator

Biomed. Signal Process. Control., 2012

2011

Using unsupervised incremental learning to cope with gradual concept drift.

David Hadas, Galit Yovel, Nathan Intrator

Connect. Sci., 2011

Functional Cliques in the Amygdala and Related Brain Networks Driven by Fear Assessment Acquired During Movie Viewing.

Sivan Kinreich, Nathan Intrator, Talma Hendler

Brain Connect., 2011

Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation.

Sivan Kinreich, Ilana Podlipsky, Nathan Intrator, Talma Hendler

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Searchlight Based Feature Extraction.

Shahar Jamshy, Omri Perez, Yehezkel Yeshurun, Talma Hendler, Nathan Intrator

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

A Robust and Efficient Spatio-Temporal Feature Selection for Interpretation of EEG Single Trials.

Yehudit Meir-Hasson, Andrey Zhdanov, Talma Hendler, Nathan Intrator

Proceedings of the Biomedical Engineering Systems and Technologies, 2011

Inference of Brain Mental States from Spatio-temporal Analysis of EEG Single Trials.

Yehudit Hasson-Meir, Andrey Zhdanov, Talma Hendler, Nathan Intrator

Proceedings of the BIOSIGNALS 2011, 2011

Biosonar-inspired Source Localization in Low SNR.

Sasha Apartsin, Leon N. Cooper, Nathan Intrator

Proceedings of the BIOSIGNALS 2011, 2011

2009

Offline Loop Investigation for Handwriting Analysis.

Tal Steinherz, David S. Doermann, Ehud Rivlin, Nathan Intrator

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Cluster analysis and classification of heart sounds.

Guy Amit, Noam Gavriely, Nathan Intrator

Biomed. Signal Process. Control., 2009

2008

MAP fusion method for superresolution of images with locally varying pixel quality.

Kio Kim, Nicola Neretti, Nathan Intrator

Int. J. Imaging Syst. Technol., 2008

Acoustic Indices of Cardiac Functionality.

Guy Amit, Jonathan Lessick, Noam Gavriely, Nathan Intrator

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007

Inferring Functional Brain States Using Temporal Evolution of Regularized Classifiers.

Andrey Zhdanov, Talma Hendler, Leslie Ungerleider, Nathan Intrator

Comput. Intell. Neurosci., 2007

Ensemble-based Feature Selection Criteria.

Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data.

Omer Berkman, Nathan Intrator

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006

Video Enhancement for Underwater Exploration Using Forward Looking Sonar.

Kio Kim, Nicola Neretti, Nathan Intrator

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006

2005

An Integration of Online and Pseudo-Online Information for Cursive Word Recognition.

Tal Steinherz, Ehud Rivlin, Nathan Intrator, Predrag Neskovic

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI.

Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

Adaptive pulse optimization for improved sonar range accuracy.

Nicola Neretti, Nathan Intrator, Leon N. Cooper

IEEE Signal Process. Lett., 2004

On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network.

Shimon Cohen, Nathan Intrator

Int. J. Pattern Recognit. Artif. Intell., 2004

Image registration and mosaicing of noisy acoustic camera images.

Kio Kim, Nathan Intrator, Nicola Neretti

Proceedings of the 2004 11th IEEE International Conference on Electronics, 2004

2003

The Effect of Noise on a Class of Energy-Based Learning Rules.

Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani

Neural Comput., 2003

Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel.

Shimon Edelman, Nathan Intrator

Cogn. Sci., 2003

Towards structural systematicity in distributed, statically bound visual representations.

Shimon Edelman, Nathan Intrator

Cogn. Sci., 2003

A Study of Ensemble of Hybrid Networks with Strong Regularization.

Shimon Cohen, Nathan Intrator

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Ensemble of hybrid networks with strong regularization.

Shimon Cohen, Nathan Intrator

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002

A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global Optimisation.

Shimon Cohen, Nathan Intrator

Pattern Anal. Appl., 2002

Automatic model selection in a hybrid perceptron/radial network.

Shimon Cohen, Nathan Intrator

Inf. Fusion, 2002

Optimal spontaneous activity in neural network modeling.

Daniel Remondini, Nathan Intrator, Gastone C. Castellani, F. Bersani, Leon N. Cooper

Neurocomputing, 2002

An adaptive approach to wavelet filters design.

Nicola Neretti, Nathan Intrator

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Forward and Backward Selection in Regression Hybrid Network.

Shimon Cohen, Nathan Intrator

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Hidden loop recovery for handwriting recognition.

David S. Doermann, Nathan Intrator, Ehud Rivlin, Tal Steinherz

Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002

Unsupervised Learning of Visual Structure.

Shimon Edelman, Nathan Intrator, Judah S. Jacobson

Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

2001

Probabilistic principles in unsupervised learning of visual structure: human data and a model.

Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Nathan Intrator

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

A Productive, Systematic Framework for the Representation of Visual Structure.

Shimon Edelman, Nathan Intrator

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A Hybrid Projection Based and Radial Basis Function Architecture.

Shimon Cohen, Nathan Intrator

Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Blurred Face Recognition via a Hybrid Network Architecture.

Inna Stainvas, Nathan Intrator

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

Boosting Regression Estimators.

Ran Avnimelech, Nathan Intrator

Neural Comput., 1999

Boosted Mixture Of Experts: An Ensemble Learning Scheme.

Ran Avnimelech, Nathan Intrator

Neural Comput., 1999

Offline cursive script word recognition - a survey.

Tal Steinherz, Ehud Rivlin, Nathan Intrator

Int. J. Document Anal. Recognit., 1999

Skew Detection via Principal Components Analysis.

Tal Steinherz, Nathan Intrator, Ehud Rivlin

Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

1998

Classification of seismic signals by integrating ensembles of neural networks.

Yair Shimshoni, Nathan Intrator

IEEE Trans. Signal Process., 1998

Classification of underwater mammals using feature extraction based on time-frequency analysis and BCM theory.

Q. Q. Huynh, Leon N. Cooper, Nathan Intrator, Harel Z. Shouval

IEEE Trans. Signal Process., 1998

Multimodality exploration by an unsupervised projection pursuit neural network.

Yocheved Dotan, Nathan Intrator

IEEE Trans. Neural Networks, 1998

Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules.

Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper

Neural Comput., 1998

Making a Low-Dimensional Representation Suitable for Diverse Tasks.

Nathan Intrator, Shimon Edelman

Proceedings of the Learning to Learn., 1998

1997

Face detection by direct convexity estimation.

Ariel Tankus, Yehezkel Yeshurun, Nathan Intrator

Pattern Recognit. Lett., 1997

Robust Interpretation of Neural Network models.

Orna Intrator, Nathan Intrator

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996

Face recognition using a hybrid supervised/unsupervised neural network.

Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun

Pattern Recognit. Lett., 1996

Effect of Binocular Cortical Misalignment on Ocular Dominance and Orientation Selectivity.

Harel Z. Shouval, Nathan Intrator, C. Charles Law, Leon N. Cooper

Neural Comput., 1996

Bootstrapping with Noise: An Effective Regularization Technique.

Yuval Raviv, Nathan Intrator

Connect. Sci., 1996

Making a Low-dimensional Representation Suitable for Diverse Tasks.

Nathan Intrator

Connect. Sci., 1996

Large Ensemble Averaging.

David Horn, Ury Naftaly, Nathan Intrator

Proceedings of the Neural Networks: Tricks of the Trade, 1996

1994

Averaged and decorrelated neural networks as a time-series predictor.

Ury Naftaly, Iris Ginzburg, David Horn, Nathan Intrator

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993

Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features.

Nathan Intrator, Joshua I. Gold

Neural Comput., 1993

Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks.

Nathan Intrator

Neural Comput., 1993

1992

Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions.

Nathan Intrator, Leon N. Cooper

Neural Networks, 1992

Feature Extraction Using an Unsupervised Neural Network.

Nathan Intrator

Neural Comput., 1992

On the Use of Projection Pursuit Constraints for Training Neural Networks.

Nathan Intrator

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Phonetic classification of timit segments preprocessed with lyon's cochlear model using a supervised/unsupervised hybrid neural network.

Gary N. Tajchman, Nathan Intrator

Proceedings of the Second International Conference on Spoken Language Processing, 1992

1991

3D Object Recognition Using Unsupervised Feature Extraction.

Nathan Intrator, Joshua I. Gold, Heinrich H. Bülthoff, Shimon Edelman

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990

Exploratory Feature Extraction in Speech Signals.

Nathan Intrator

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

A Neural Network for Feature Extraction.

Nathan Intrator

Proceedings of the Advances in Neural Information Processing Systems 2, 1989