Empirical study of informational regularizations in learning useful and interpretable representations
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Simulation and machine learning at exascale
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Understanding normative influence of neighborhoods: a multilevel approach to promoting Latinas’ cervical cancer prevention behaviors in urban ethnic communities
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Automated synthesis of domain-specific model interpreters
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Integrating Landsat and California pesticide exposure estimation at aggregated analysis scales: accuracy assessment of rurality
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Incorporating aggregate feature statistics in structured dynamical models for human activity recognition
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An FPGA-friendly, mixed-computation inference accelerator for deep neural networks
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Discovering implicit academic science norms through the experience of historically underrepresented STEM faculty
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Mining sequential data through layered phases
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Local-aware deep learning: methodology and applications
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A framework for intelligent assessment and resolution of commercial-off-the-shelf product incompatibilities
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Species distribution modeling to predict the spread of Spartium junceum in the Angeles National Forest
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A unified geodatabase design for sinkhole inventories in the United States
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Investigation of sacrificial layer and building block for layered nanofabrication (LNF)
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The microbiome of gorgonian octocorals, Muricea, with a description of a novel, photosynthetic protistan symbiont
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Multi-view three-dimensional object description with uncertain reasoning and machine learning
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Envisioning seismic Los Angeles: data visualization techniques for an interactive seismicity and building response map application
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Some scale-up methodologies for advanced manufacturing
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Synaptic integration in dendrites: theories and applications
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Synaptic mechanisms for basic auditory processing
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Schema architecture for language-vision interactions: a computational cognitive neuroscience model of language use
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Application of neural nets to coding and communications
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Next generation neural interfaces for neural modulation and prosthesis
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The effect of microhydration on ionization energy and proton transfer in nucleobases: analysis and method development
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Feature learning for imaging and prior model selection
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