Nathan Intrator
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Parents
Sign in to add mentor| Leon N. Cooper | grad student | 1991 | Brown | |
| (Feature extraction using an exploratory projection pursuit neural network) | ||||
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| Meir-Hasson Y, Keynan JN, Kinreich S, et al. (2016) One-Class FMRI-Inspired EEG Model for Self-Regulation Training. Plos One. 11: e0154968 |
| Apartsin A, Cooper LN, Intrator N. (2014) Time-of-flight estimation in the presence of outliers. Part II - Multiple echo processing Ieee Transactions On Geoscience and Remote Sensing. 52: 3843-3850 |
| Apartsin A, Cooper LN, Intrator N. (2014) Energy-efficient time-of-flight estimation in the presence of outliers: A machine learning approach Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7: 1306-1313 |
| Apartsin A, Cooper LN, Intrator N. (2012) Semi-coherent time of arrival estimation using regression. The Journal of the Acoustical Society of America. 132: 832-7 |
| Podlipsky I, Ben-Simon E, Hendler T, et al. (2012) Robust modeling based on optimized EEG bands for functional brain state inference. Journal of Neuroscience Methods. 203: 377-85 |
| Apartsin A, Cooper LN, Intrator N. (2010) SNR-dependent filtering for time of arrival estimation in high noise Proceedings of the 2010 Ieee International Workshop On Machine Learning For Signal Processing, Mlsp 2010. 427-431 |
| Amit G, Gavriely N, Intrator N. (2009) Cluster analysis and classification of heart sounds Biomedical Signal Processing and Control. 4: 26-36 |
| Apartsin A, Intrator N. (2008) A data fusion and multiple ping method for improving the resolution of low‐power acoustic and seismic sensing. Journal of the Acoustical Society of America. 124: 2597-2597 |
| Kim K, Neretti N, Intrator N. (2008) MAP fusion method for superresolution of images with locally varying pixel quality International Journal of Imaging Systems and Technology. 18: 242-250 |
| Zhdanov A, Hendler T, Ungerleider L, et al. (2007) Inferring functional brain states using temporal evolution of regularized classifiers. Computational Intelligence and Neuroscience. 52609 |