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Noise benefits in nonlinear signal processing
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Reproducible large-scale inference in high-dimensional nonlinear models
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Predicting alcohol use: a nonlinear model with expectancies and memory associations
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Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems
Adaptive detection of stationary optical and IR targets using correlated scenes
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Improved contrast in ultrasound imaging using dual apodization with cross-correlation
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A novel hybrid probabilistic framework for model validation
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Econometric analysis of nonlinear dynamics in a behavioral institutional model of stock price fluctuation
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Problems in detection and estimation
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Quantitative methods of edge detection
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Higher-order correlation-based approach to modulation classification
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Dendritic computation and plasticity in neuromorphic circuits
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Low -complexity iterative algorithms for near-optimal detection in like -signal interference
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Dynamical system approach to heart rate variability: QT versus RR interval
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Item response theory, structural equation modeling, and Mantel-Haenszel statistics in the study of item invariance
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Characterization of environmental variability in identified dynamic properties of a soil-foundation-structure system
Circuit design with nano electronic devices for biomimetic neuromorphic systems
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Optimizing statistical decisions by adding noise
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Process data analytics and monitoring based on causality analysis techniques
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Differential methylation analysis of colon tissues
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Modeling astrocyte-neural interactions in CMOS neuromorphic circuits
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Modeling the integration of salamander vision and behavior
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Multiple humnas tracking by learning appearance and motion patterns
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Failure prediction for rod pump artificial lift systems
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