Nathan Intrator

80 papers A 2B 3C 1Journal 41Unranked 30

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	EEG reactivity changes captured via mobile BCI device following tDCS intervention - a pilot-study in disorders of consciousness (DOC) patients. BCI Neta B. Maimon, Lior Molcho, Efraim Jaul, Nathan Intrator, Jeremy Barron, Oded Meiron
2021	—	`conf`	Novel Single-Channel EEG Features Correlate with Working Memory Load. LifeTech Neta B. Maimon, Lior Molcho, Nathan Intrator, Dominique Lamy
2019	J	`jnl`	Volitional limbic neuromodulation exerts a beneficial clinical effect on Fibromyalgia. NeuroImage 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
2016	J	`jnl`	A Real-Time Kinect Signature-Based Patient Home Monitoring System. Sensors Gaddi Blumrosen, Yael Miron, Nathan Intrator, Meir Plotnik
2015	J	`jnl`	Monitoring Cardiac Stress Using Features Extracted From S IEEE Trans. Biomed. Eng. Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator
2015	C	`conf`	Towards a real time kinect signature based human activity assessment at home. BSN Gaddi Blumrosen, Yael Miron, Meir Plotnik, Nathan Intrator
2014	J	`jnl`	An EEG Finger-Print of fMRI deep regional activation. NeuroImage Yehudit Meir-Hasson, Sivan Kinreich, Ilana Podlipsky, Talma Hendler, Nathan Intrator
2014	J	`jnl`	Energy-Efficient Time-of-Flight Estimation in the Presence of Outliers: A Machine Learning Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Alexander Apartsin, Leon N. Cooper, Nathan Intrator
2014	J	`jnl`	Neural dynamics necessary and sufficient for transition into pre-sleep induced by EEG NeuroFeedback. NeuroImage Sivan Kinreich, Ilana Podlipsky, Shahar Jamshy, Nathan Intrator, Talma Hendler
2014	J	`jnl`	Time-of-Flight Estimation in the Presence of Outliers Part I - Single Echo Processing. IEEE Trans. Geosci. Remote. Sens. Alexander Apartsin, Leon N. Cooper, Nathan Intrator
2014	J	`jnl`	Time-of-Flight Estimation in the Presence of Outliers. Part II - Multiple Echo Processing. IEEE Trans. Geosci. Remote. Sens. Alexander Apartsin, Leon N. Cooper, Nathan Intrator
2012	J	`jnl`	Discovery of multiple level heart-sound morphological variability resulting from changes in physiological states. Biomed. Signal Process. Control. Svetlana Kofman, Amitai Bickel, Arie Eitan, Atalia Weiss, Noam Gavriely, Nathan Intrator
2012	—	`ch.`	Large Ensemble Averaging. Neural Networks: Tricks of the Trade (2nd ed.) David Horn, Ury Naftaly, Nathan Intrator
2012	J	`jnl`	Using Iterative Ridge Regression to Explore Associations Between Conditioned Variables. J. Comput. Biol. Nimrod Bar-Yaakov, Zehava Grossman, Nathan Intrator
2011	—	`conf`	A Robust and Efficient Spatio-Temporal Feature Selection for Interpretation of EEG Single Trials. BIOSTEC (Selected Papers) Yehudit Meir-Hasson, Andrey Zhdanov, Talma Hendler, Nathan Intrator
2011	—	`conf`	Biosonar-inspired Source Localization in Low SNR. BIOSIGNALS Sasha Apartsin, Leon N. Cooper, Nathan Intrator
2011	—	`conf`	Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation. MLINI Sivan Kinreich, Ilana Podlipsky, Nathan Intrator, Talma Hendler
2011	J	`jnl`	Functional Cliques in the Amygdala and Related Brain Networks Driven by Fear Assessment Acquired During Movie Viewing. Brain Connect. Sivan Kinreich, Nathan Intrator, Talma Hendler
2011	—	`conf`	Inference of Brain Mental States from Spatio-temporal Analysis of EEG Single Trials. BIOSIGNALS Yehudit Hasson-Meir, Andrey Zhdanov, Talma Hendler, Nathan Intrator
2011	—	`conf`	Searchlight Based Feature Extraction. MLINI Shahar Jamshy, Omri Perez, Yehezkel Yeshurun, Talma Hendler, Nathan Intrator
2011	J	`jnl`	Using unsupervised incremental learning to cope with gradual concept drift. Connect. Sci. David Hadas, Galit Yovel, Nathan Intrator
2009	J	`jnl`	Cluster analysis and classification of heart sounds. Biomed. Signal Process. Control. Guy Amit, Noam Gavriely, Nathan Intrator
2009	J	`jnl`	Offline Loop Investigation for Handwriting Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Tal Steinherz, David S. Doermann, Ehud Rivlin, Nathan Intrator
2008	—	`conf`	Acoustic Indices of Cardiac Functionality. BIOSIGNALS (2) Guy Amit, Jonathan Lessick, Noam Gavriely, Nathan Intrator
2008	J	`jnl`	MAP fusion method for superresolution of images with locally varying pixel quality. Int. J. Imaging Syst. Technol. Kio Kim, Nicola Neretti, Nathan Intrator
2007	—	`conf`	Ensemble-based Feature Selection Criteria. MLDM Posters Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator
2007	J	`jnl`	Inferring Functional Brain States Using Temporal Evolution of Regularized Classifiers. Comput. Intell. Neurosci. Andrey Zhdanov, Talma Hendler, Leslie Ungerleider, Nathan Intrator
2007	—	`conf`	Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. MCS Omer Berkman, Nathan Intrator
2006	B	`conf`	Video Enhancement for Underwater Exploration Using Forward Looking Sonar. ACIVS Kio Kim, Nicola Neretti, Nathan Intrator
2005	J	`jnl`	An Integration of Online and Pseudo-Online Information for Cursive Word Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Tal Steinherz, Ehud Rivlin, Nathan Intrator, Predrag Neskovic
2005	—	`conf`	Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. NIPS Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf
2004	J	`jnl`	Adaptive pulse optimization for improved sonar range accuracy. IEEE Signal Process. Lett. Nicola Neretti, Nathan Intrator, Leon N. Cooper
2004	—	`conf`	Image registration and mosaicing of noisy acoustic camera images. ICECS Kio Kim, Nathan Intrator, Nicola Neretti
2004	J	`jnl`	On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network. Int. J. Pattern Recognit. Artif. Intell. Shimon Cohen, Nathan Intrator
2003	—	`conf`	A Study of Ensemble of Hybrid Networks with Strong Regularization. Multiple Classifier Systems Shimon Cohen, Nathan Intrator
2003	J	`jnl`	Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel. Cogn. Sci. Shimon Edelman, Nathan Intrator
2003	B	`conf`	Ensemble of hybrid networks with strong regularization. ESANN Shimon Cohen, Nathan Intrator
2003	J	`jnl`	The Effect of Noise on a Class of Energy-Based Learning Rules. Neural Comput. Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani
2003	J	`jnl`	Towards structural systematicity in distributed, statically bound visual representations. Cogn. Sci. Shimon Edelman, Nathan Intrator
2002	J	`jnl`	A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global Optimisation. Pattern Anal. Appl. Shimon Cohen, Nathan Intrator
2002	—	`conf`	An adaptive approach to wavelet filters design. NNSP Nicola Neretti, Nathan Intrator
2002	J	`jnl`	Automatic model selection in a hybrid perceptron/radial network. Inf. Fusion Shimon Cohen, Nathan Intrator
2002	—	`conf`	Forward and Backward Selection in Regression Hybrid Network. Multiple Classifier Systems Shimon Cohen, Nathan Intrator
2002	—	`conf`	Hidden loop recovery for handwriting recognition. IWFHR David S. Doermann, Nathan Intrator, Ehud Rivlin, Tal Steinherz
2002	J	`jnl`	Optimal spontaneous activity in neural network modeling. Neurocomputing Daniel Remondini, Nathan Intrator, Gastone C. Castellani, F. Bersani, Leon N. Cooper
2002	—	`conf`	Unsupervised Learning of Visual Structure. Biologically Motivated Computer Vision Shimon Edelman, Nathan Intrator, Judah S. Jacobson
2001	—	`conf`	Automatic Model Selection in a Hybrid Perceptron/Radial Network. Multiple Classifier Systems Shimon Cohen, Nathan Intrator
2001	—	`conf`	Probabilistic principles in unsupervised learning of visual structure: human data and a model. NIPS Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Nathan Intrator
2000	—	`conf`	A Hybrid Projection Based and Radial Basis Function Architecture. Multiple Classifier Systems Shimon Cohen, Nathan Intrator
2000	—	`conf`	A Productive, Systematic Framework for the Representation of Visual Structure. NIPS Shimon Edelman, Nathan Intrator
2000	B	`conf`	Blurred Face Recognition via a Hybrid Network Architecture. ICPR Inna Stainvas, Nathan Intrator
1999	J	`jnl`	Boosted Mixture Of Experts: An Ensemble Learning Scheme. Neural Comput. Ran Avnimelech, Nathan Intrator
1999	J	`jnl`	Boosting Regression Estimators. Neural Comput. Ran Avnimelech, Nathan Intrator
1999	J	`jnl`	Offline cursive script word recognition - a survey. Int. J. Document Anal. Recognit. Tal Steinherz, Ehud Rivlin, Nathan Intrator
1999	A	`conf`	Skew Detection via Principal Components Analysis. ICDAR Tal Steinherz, Nathan Intrator, Ehud Rivlin
1998	J	`jnl`	Classification of seismic signals by integrating ensembles of neural networks. IEEE Trans. Signal Process. Yair Shimshoni, Nathan Intrator
1998	J	`jnl`	Classification of underwater mammals using feature extraction based on time-frequency analysis and BCM theory. IEEE Trans. Signal Process. Q. Q. Huynh, Leon N. Cooper, Nathan Intrator, Harel Z. Shouval
1998	—	`ch.`	Making a Low-Dimensional Representation Suitable for Diverse Tasks. Learning to Learn Nathan Intrator, Shimon Edelman
1998	J	`jnl`	Multimodality exploration by an unsupervised projection pursuit neural network. IEEE Trans. Neural Networks Yocheved Dotan, Nathan Intrator
1998	J	`jnl`	Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. Neural Comput. Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper
1997	—	`conf`	Face Detection by Direct Convexity Estimation. AVBPA Ariel Tankus, Hezy Yeshurun, Nathan Intrator
1997	J	`jnl`	Face detection by direct convexity estimation. Pattern Recognit. Lett. Ariel Tankus, Yehezkel Yeshurun, Nathan Intrator
1997	—	`conf`	Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. NIPS Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper
1997	A	`conf`	Robust Interpretation of Neural Network models. AISTATS Orna Intrator, Nathan Intrator
1996	J	`jnl`	Bootstrapping with Noise: An Effective Regularization Technique. Connect. Sci. Yuval Raviv, Nathan Intrator
1996	J	`jnl`	Effect of Binocular Cortical Misalignment on Ocular Dominance and Orientation Selectivity. Neural Comput. Harel Z. Shouval, Nathan Intrator, C. Charles Law, Leon N. Cooper
1996	J	`jnl`	Face recognition using a hybrid supervised/unsupervised neural network. Pattern Recognit. Lett. Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun
1996	—	`ch.`	Large Ensemble Averaging. Neural Networks: Tricks of the Trade David Horn, Ury Naftaly, Nathan Intrator
1996	J	`jnl`	Making a Low-dimensional Representation Suitable for Diverse Tasks. Connect. Sci. Nathan Intrator
1994	—	`conf`	Averaged and decorrelated neural networks as a time-series predictor. ICPR (2) Ury Naftaly, Iris Ginzburg, David Horn, Nathan Intrator
1994	—	`conf`	Face recognition using a hybrid supervised/unsupervised neural network. ICPR (2) Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun
1993	J	`jnl`	Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks. Neural Comput. Nathan Intrator
1993	J	`jnl`	Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features. Neural Comput. Nathan Intrator, Joshua I. Gold
1992	J	`jnl`	Feature Extraction Using an Unsupervised Neural Network. Neural Comput. Nathan Intrator
1992	J	`jnl`	Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions. Neural Networks Nathan Intrator, Leon N. Cooper
1992	—	`conf`	On the Use of Projection Pursuit Constraints for Training Neural Networks. NIPS Nathan Intrator
1992	—	`conf`	Phonetic classification of timit segments preprocessed with lyon's cochlear model using a supervised/unsupervised hybrid neural network. ICSLP Gary N. Tajchman, Nathan Intrator
1991	—	`conf`	3D Object Recognition Using Unsupervised Feature Extraction. NIPS Nathan Intrator, Joshua I. Gold, Heinrich H. Bülthoff, Shimon Edelman
1990	—	`conf`	Exploratory Feature Extraction in Speech Signals. NIPS Nathan Intrator
1989	—	`conf`	A Neural Network for Feature Extraction. NIPS Nathan Intrator