Electrospray deposition of physical unclonable functions for drug anti-counterfeiting von Kingsley, Bryce J., Schaffer, J. David, Chiarot, Paul R.

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Boundary waves in a microfluidic device as a model for intramural periarterial drainage von Coloma, Mikhail, Schaffer, J. David, Huang, Peter, Chiarot, Paul R.

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The Art and Science of Machine Intelligence: With an Innovative Application for Alzheimer's Detection from Speech von Land Jr., Walker H, Schaffer, J. David

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Flow in temporally and spatially varying porous media: a model for transport of interstitial fluid in the brain von Joshi, Ketaki, Diaz, Adrian, O’Keeffe, Katherine, Schaffer, J. David, Chiarot, Paul R., Huang, Peter

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Towards an Automatic Speech-Based Diagnostic Test for Alzheimer’s Disease von Sadeghian, Roozbeh, Schaffer, J. David, Zahorian, Stephen A.

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A novel approach to signal classification with an application to identifying the alcoholic brain von Roy, Arnab, David Schaffer, J., Laramee, Craig B.

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Automated analysis of food-borne pathogens using a novel microbial cell culture, sensing and classification system von Xiang, Kun, Li, Yinglei, Ford, William, Land, Walker, Schaffer, J David, Congdon, Robert, Zhang, Jing, Sadik, Omowunmi

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A Bayesian Network Concept for Pain Assessment von Sadik, Omowunmi, Schaffer, J David, Land, Walker, Xue, Huize, Yazgan, Idris, Kafesçiler, Korkut, Sungur, Mürvet

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Taste-specific cell assemblies in a biologically informed model of the nucleus of the solitary tract von Rosen, Andrew M, Sichtig, Heike, Schaffer, J David, Di Lorenzo, Patricia M

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Developing an Evolutionary Algorithm to Search for an Optimal Multi-Mother Wavelet Packets Combination von Tov, Ohad Bar Siman, Schaffer, J. David, McLeod, Kenneth J.

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Evolving Spike Neural Network Sensors to Characterize the Alcoholic Brain Using Visually Evoked Response Potential von Roy, Arnab, Schaffer, J. David, Laramee, Craig B.

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Initial Experiments Evolving Spiking Neural Networks with Supervised Learning Capability von Schaffer, J. David

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Using automatic speech recognition to identify dementia in early stages von Sadeghian, Roozbeh, Schaffer, David J., Zahorian, Stephen A.

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Predicting with Confidence: Classifiers that Know What They Don’t Know von Schaffer, J. David, Land, Walker H.

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The Uncertainty Area Metric: a Method for Comparing Learning Machines on What They Don’t Know von Land, Walker H., Schaffer, J. David

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A Machine Intelligence Designed Bayesian Network Applied to Alzheimer's Detection Using Demographics and Speech Data von Land, Walker H., Schaffer, J. David

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Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions von Land, Walker H., Schaffer, J. David

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Automated analysis of food-borne pathogens using a novel microbial cell culture, sensing and classification systemElectronic supplementary information (ESI) available. See DOI: 10.... von Xiang, Kun, Li, Yinglei, Ford, William, Land, Walker, Schaffer, J. David, Congdon, Robert, Zhang, Jing, Sadik, Omowunmi

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On the Preservation of Input/Output Directed Graph Informativeness under Crossover von Pape, Andreas Duus, Schaffer, J. David, Sayama, Hiroki, Zosh, Christopher

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Evolving Spiking Neural Networks for predicting transcription factor binding sites von Sichtig, Heike, Schaffer, J David, Riva, Alberto

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