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Importance Sampling for Objective Function Estimations in Neural Detector Training Driven by Genetic Algorithms., , , , and . Neural Processing Letters, 32 (3): 249-268 (2010)Enlarging Training Sets for Neural Networks., , , and . ANNs, page 25-33. INSTICC Press, (2004)On the Capability of Neural Networks to Approximate the Neyman-Pearson Detector: A Theoretical Study., , , and . ANNs, page 69-76. INSTICC Press, (2004)A machine learning approach for computationally and energy efficient speech enhancement in binaural hearing aids., , and . ICASSP, page 6515-6519. IEEE, (2016)A new algorithm for fast search of the k nearest patterns., , , and . EUSIPCO, page 1887-1891. IEEE, (2007)Robustness with respect to the signal-to-noise ratio of MLP-based detectors in Weibull clutter., , , , and . EUSIPCO, page 1736-1740. IEEE, (2007)Wavelet denoising with edge detection for speckle reduction in SAR images., , , , and . EUSIPCO, page 1098-1102. IEEE, (2007)A new perceptual entropy-based method to achieve a signal adapted wavelet tree in a low bit rate perceptual audio coder., , , and . EUSIPCO, page 1-4. IEEE, (2000)Coherent Detection of Swerling 0 Targets in Sea-Ice Weibull-Distributed Clutter Using Neural Networks., , , and . IEEE Trans. Instrumentation and Measurement, 59 (12): 3139-3151 (2010)Analysis of the Effects of Finite Precision in Neural Network-Based Sound Classifiers for Digital Hearing Aids., , , , and . EURASIP J. Adv. Sig. Proc., (2009)