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The Ornstein-Uhlenbeck third-order Gaussian process (OUGP) applied directly to the un-resampled heart rate variability (HRV) tachogram for detrending and low-pass filtering.

, , , and . Medical Biol. Eng. Comput., 50 (7): 737-742 (2012)

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A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification., , , , , and . IJCNN (6), page 253-258. IEEE Computer Society, (2000)0-7695-0619-4.Survival analysis in cancer using a partial logistic neural network model with Bayesian regularisation framework: a validation study., , , , , and . Int. J. Knowl. Eng. Soft Data Paradigms, 1 (3): 277-295 (2009)A Neural Network-based approach to system identification for whitening interferometer spectra., , , , and . WIRN, page 165-171. Springer, (2001)A web-based tool for the assessment of discrimination and calibration properties of prognostic models., , , and . Comput. Biol. Medicine, 38 (7): 785-791 (2008)Neural networks in astronomy, , , , , , , , , and 3 other author(s). Neural Networks, 16 (3–4): 297 - 319 (2003)Neural Network Analysis of Complex Scientific Data: Astronomy and Geosciences.An Efficient Time-Varying Filter for Detrending and Bandwidth Limiting the Heart Rate Variability Tachogram without Resampling: MATLAB Open-Source Code and Internet Web-Based Implementation., , , and . Comput. Math. Methods Medicine, (2012)Support Vector Machines for Survival Regression., and . CIBB, volume 7548 of Lecture Notes in Computer Science, page 176-189. Springer, (2011)A novel neural network-based survival analysis model., , , , and . Neural Networks, 16 (5-6): 855-864 (2003)Conditional Hazard Estimating Neural Networks., , , , and . Encyclopedia of Artificial Intelligence, IGI Global, (2009)The Ornstein-Uhlenbeck third-order Gaussian process (OUGP) applied directly to the un-resampled heart rate variability (HRV) tachogram for detrending and low-pass filtering., , , and . Medical Biol. Eng. Comput., 50 (7): 737-742 (2012)