A Neural Network for Feature Extraction. - Nathan Intrator (NIPS, 1989)

Exploratory Feature Extraction in Speech Signals. - Nathan Intrator (NIPS, 1990)

3D Object Recognition Using Unsupervised Feature Extraction. - Nathan Intrator; Joshua I. Gold; Heinrich H. Bülthoff; Shimon Edelman (NIPS, 1991)

Phonetic classification of timit segments preprocessed with lyon's cochlear model using a supervised/unsupervised hybrid neural network. - Gary N. Tajchman; Nathan Intrator (ICSLP, 1992)

On the Use of Projection Pursuit Constraints for Training Neural Networks. - Nathan Intrator (NIPS, 1992)

Feature Extraction Using an Unsupervised Neural Network. - Nathan Intrator (Neural Comput., 1992)

Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions. - Nathan Intrator; Leon N. Cooper (Neural Networks, 1992)

Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks. - Nathan Intrator (Neural Comput., 1993)

Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features. - Nathan Intrator; Joshua I. Gold (Neural Comput., 1993)

Averaged and decorrelated neural networks as a time-series predictor. - Ury Naftaly; Iris Ginzburg; David Horn 001; Nathan Intrator (ICPR (2), 1994)

Large Ensemble Averaging. - David Horn 001; Ury Naftaly; Nathan Intrator (Neural Networks: Tricks of the Trade, 1996)

Making a Low-dimensional Representation Suitable for Diverse Tasks. - Nathan Intrator (Connect. Sci., 1996)

Bootstrapping with Noise: An Effective Regularization Technique. - Yuval Raviv; Nathan Intrator (Connect. Sci., 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)

Face recognition using a hybrid supervised/unsupervised neural network. - Nathan Intrator; Daniel Reisfeld; Yehezkel Yeshurun (Pattern Recognit. Lett., 1996)

Robust Interpretation of Neural Network models. - Orna Intrator; Nathan Intrator (AISTATS, 1997)

Face detection by direct convexity estimation. - Ariel Tankus; Yehezkel Yeshurun; Nathan Intrator (Pattern Recognit. Lett., 1997)

Making a Low-Dimensional Representation Suitable for Diverse Tasks. - Nathan Intrator; Shimon Edelman (Learning to Learn, 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)

Multimodality exploration by an unsupervised projection pursuit neural network. - Yocheved Dotan; Nathan Intrator (IEEE Trans. Neural Networks, 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)

Classification of seismic signals by integrating ensembles of neural networks. - Yair Shimshoni; Nathan Intrator (IEEE Trans. Signal Process., 1998)

Skew Detection via Principal Components Analysis. - Tal Steinherz; Nathan Intrator; Ehud Rivlin (ICDAR, 1999)

Offline cursive script word recognition - a survey. - Tal Steinherz; Ehud Rivlin; Nathan Intrator (Int. J. Document Anal. Recognit., 1999)

Boosted Mixture Of Experts: An Ensemble Learning Scheme. - Ran Avnimelech; Nathan Intrator (Neural Comput., 1999)

Boosting Regression Estimators. - Ran Avnimelech; Nathan Intrator (Neural Comput., 1999)

Blurred Face Recognition via a Hybrid Network Architecture. - Inna Stainvas; Nathan Intrator (ICPR, 2000)

A Hybrid Projection Based and Radial Basis Function Architecture. - Shimon Cohen 001; Nathan Intrator (Multiple Classifier Systems, 2000)

A Productive, Systematic Framework for the Representation of Visual Structure. - Shimon Edelman; Nathan Intrator (NIPS, 2000)

Probabilistic principles in unsupervised learning of visual structure: human data and a model. - Shimon Edelman; Benjamin P. Hiles; Hwajin Yang; Nathan Intrator (NIPS, 2001)

Unsupervised Learning of Visual Structure. - Shimon Edelman; Nathan Intrator; Judah S. Jacobson (Biologically Motivated Computer Vision, 2002)

Hidden loop recovery for handwriting recognition. - David S. Doermann; Nathan Intrator; Ehud Rivlin; Tal Steinherz (IWFHR, 2002)

Forward and Backward Selection in Regression Hybrid Network. - Shimon Cohen 001; Nathan Intrator (Multiple Classifier Systems, 2002)

An adaptive approach to wavelet filters design. - Nicola Neretti; Nathan Intrator (NNSP, 2002)

Optimal spontaneous activity in neural network modeling. - Daniel Remondini; Nathan Intrator; Gastone C. Castellani; F. Bersani; Leon N. Cooper (Neurocomputing, 2002)

Automatic model selection in a hybrid perceptron/radial network. - Shimon Cohen 001; Nathan Intrator (Inf. Fusion, 2002)

A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global Optimisation. - Shimon Cohen 001; Nathan Intrator (Pattern Anal. Appl., 2002)

Ensemble of hybrid networks with strong regularization. - Shimon Cohen 001; Nathan Intrator (ESANN, 2003)

A Study of Ensemble of Hybrid Networks with Strong Regularization. - Shimon Cohen 001; Nathan Intrator (Multiple Classifier Systems, 2003)

Towards structural systematicity in distributed, statically bound visual representations. - Shimon Edelman; Nathan Intrator (Cogn. Sci., 2003)

Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel. - Shimon Edelman; Nathan Intrator (Cogn. Sci., 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)

Image registration and mosaicing of noisy acoustic camera images. - Kio Kim; Nathan Intrator; Nicola Neretti (ICECS, 2004)

On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network. - Shimon Cohen 001; Nathan Intrator (Int. J. Pattern Recognit. Artif. Intell., 2004)

Adaptive pulse optimization for improved sonar range accuracy. - Nicola Neretti; Nathan Intrator; Leon N. Cooper (IEEE Signal Process. Lett., 2004)

Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. - Ofer Pasternak; Nir A. Sochen; Nathan Intrator; Yaniv Assaf (NIPS, 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)

Video Enhancement for Underwater Exploration Using Forward Looking Sonar. - Kio Kim; Nicola Neretti; Nathan Intrator (ACIVS, 2006)

Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. - Omer Berkman; Nathan Intrator (MCS, 2007)

Ensemble-based Feature Selection Criteria. - Terry Windeatt; Matthew Prior; Niv Effron; Nathan Intrator (MLDM Posters, 2007)

Inferring Functional Brain States Using Temporal Evolution of Regularized Classifiers. - Andrey Zhdanov; Talma Hendler; Leslie Ungerleider; Nathan Intrator (Comput. Intell. Neurosci., 2007)

Acoustic Indices of Cardiac Functionality. - Guy Amit; Jonathan Lessick; Noam Gavriely; Nathan Intrator (BIOSIGNALS (2), 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)

Cluster analysis and classification of heart sounds. - Guy Amit; Noam Gavriely; Nathan Intrator (Biomed. Signal Process. Control., 2009)

Offline Loop Investigation for Handwriting Analysis. - Tal Steinherz; David S. Doermann; Ehud Rivlin; Nathan Intrator (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Biosonar-inspired Source Localization in Low SNR. - Sasha Apartsin; Leon N. Cooper; Nathan Intrator (BIOSIGNALS, 2011)

Inference of Brain Mental States from Spatio-temporal Analysis of EEG Single Trials. - Yehudit Hasson-Meir; Andrey Zhdanov; Talma Hendler; Nathan Intrator (BIOSIGNALS, 2011)

A Robust and Efficient Spatio-Temporal Feature Selection for Interpretation of EEG Single Trials. - Yehudit Meir-Hasson; Andrey Zhdanov; Talma Hendler; Nathan Intrator (BIOSTEC (Selected Papers), 2011)

Searchlight Based Feature Extraction. - Shahar Jamshy; Omri Perez; Yehezkel Yeshurun; Talma Hendler; Nathan Intrator (MLINI, 2011)

Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation. - Sivan Kinreich; Ilana Podlipsky; Nathan Intrator; Talma Hendler (MLINI, 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)

Using unsupervised incremental learning to cope with gradual concept drift. - David Hadas; Galit Yovel; Nathan Intrator (Connect. Sci., 2011)

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)

Using Iterative Ridge Regression to Explore Associations Between Conditioned Variables. - Nimrod Bar-Yaakov; Zehava Grossman; Nathan Intrator (J. Comput. Biol., 2012)

Large Ensemble Averaging. - David Horn 001; Ury Naftaly; Nathan Intrator (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

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)

An EEG Finger-Print of fMRI deep regional activation. - Yehudit Meir-Hasson; Sivan Kinreich; Ilana Podlipsky; Talma Hendler; Nathan Intrator (NeuroImage, 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)

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)

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)

Towards a real time kinect signature based human activity assessment at home. - Gaddi Blumrosen; Yael Miron; Meir Plotnik; Nathan Intrator (BSN, 2015)

Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds. - Jonathan Herzig; Amitai Bickel; Arie Eitan; Nathan Intrator (IEEE Trans. Biomed. Eng., 2015)

A Real-Time Kinect Signature-Based Patient Home Monitoring System. - Gaddi Blumrosen; Yael Miron; Nathan Intrator; Meir Plotnik (Sensors, 2016)

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; et al. (NeuroImage, 2019)

Novel Single-Channel EEG Features Correlate with Working Memory Load. - Neta B. Maimon; Lior Molcho; Nathan Intrator; Dominique Lamy (LifeTech, 2021)

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 (BCI, 2022)