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Programming Abstractions for GPU-Accelerated Agent-Based Simulations
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Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images
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Towards Mental Workload Time Series Classification and Interpretation for Real-Time Feedback in Brain-Computer Interfacing Video Games
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Frequent Pattern Mining Analytics
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Learning From Small Samples: A Machine Learning Model of Belief Polarization
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The Impact of Latency on Players in First-person Shooter Games
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MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning Inference
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Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms
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Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of Probabilities through Data Visualizations
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Big Time Series Analytics Using a Distributed Infrastructure
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