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A computational framework for diversity in ensembles of humans and machine systems
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The relationship between small ensemble experiences, empathy, and emotional self-regulation skills in music students
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Nonlinear modeling of causal interrelationships in neuronal ensembles: an application to the rat hippocampus
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Facial age grouping and estimation via ensemble learning
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A learning‐based approach to image quality assessment
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Labeling cost reduction techniques for deep learning: methodologies and applications
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Exploring complexity reduction in deep learning
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Bayesian methods for autonomous learning systems
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A comparison of a hierarchical vocal function warm-up regimen and a routine calisthenic warm-up procedure in the choral ensemble rehearsal
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Novel algorithms for large scale supervised and one class learning
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Learning multi-annotator subjective label embeddings
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Tensor learning for large-scale spatiotemporal analysis
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Human appearance analysis and synthesis using deep learning
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Teaching and learning with digital media: learning ecologies and digital pedagogies
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Forecasting traffic volume using machine learning and kriging methods
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Machine learning of DNA shape and spatial geometry
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Handling attacker’s preference in security domains: robust optimization and learning approaches
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When AI helps wildlife conservation: learning adversary behavior in green security games
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Comparison of Cox regression and machine learning methods for survival analysis of prostate cancer
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Flymodeller: an interactive machine learning platform for automatic fly behavior annotation
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Leveraging training information for efficient and robust deep learning
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The perception of high school instrumental music students regarding their musical leisure activities
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Learning in dynamic synapse neural networks
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