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Predictive coding tools in multi-view video compression
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Predicting bladder cancer behavior by molecular expression profiling
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Computational model for predicting ionic solubility
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Development of data-driven user-centered building façade design guideline models: machine learning-based approaches to predict user preferences
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Prediction of energy consumption behavior in component-based distributed systems
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Predicting mission power requirement for mobile robots
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Prediction models for dynamic decision making in smart grid
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Real-world evaluation and deployment of wildlife crime prediction models
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Prediction and feature selection with regularized regression in integrative genomics
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Between genes and phenotypes: an integrative network-based Monte Carlo method for the prediction of human-gene phenotype associations
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Data worth analysis in geostatistics and spatial prediction
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Predicting cognitive decline and dementia in elderly twins from indicators of early life oral health
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Species distribution modeling to predict the spread of Spartium junceum in the Angeles National Forest
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Invariant representation learning for robust and fair predictions
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Channel state information feedback, prediction and scheduling for the downlink of MIMO-OFDM wireless systems
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Progression of human immunodeficiency virus infection predicted by clustered profiles of immune activation markers
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The fusion of predictive and prescriptive analytics via stochastic programming
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Predicting the presence of historic and prehistoric campsites in Virginia’s Chesapeake Bay counties
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Older adults with visual impairments: the role of health dimensions in predicting falls
Modeling and predicting with spatial‐temporal social networks
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Identity is the lens through which moral values predict action
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Groundwater contaminant transport predictions in a sustainable water management scenario
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When it's good to feel bad: how responses to virtual environments predict real-life sexual risk-reduction
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A probabilistic model predicting retinal ganglion cell responses to natural stimuli
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Cell-specific case studies of enhancer function prediction using machine learning
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