Verification, learning and control in cyber-physical systems
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Deep learning architectures for characterization and forecasting of fluid flow in subsurface systems
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Advanced techniques for object classification: methodologies and performance evaluation
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Hashcode representations of natural language for relation extraction
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Federated and distributed machine learning at scale: from systems to algorithms to applications
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When AI helps wildlife conservation: learning adversary behavior in green security games
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Multi-scale quantum dynamics and machine learning for next generation energy applications
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Deep learning for subsurface characterization and forecasting
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Enhancing phenotype prediction through integrative analysis of heterogeneous microbiome studies
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Predicting autism severity classification by machine learning models
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Machine-learning approaches for modeling of complex materials and media
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Deep learning models for temporal data in health care
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Building straggler-resilient and private machine learning systems in the cloud
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Green learning for 3D point cloud data processing
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Application of statistical learning on breast cancer dataset
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Differentially private learned models for location services
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Forecasting traffic volume using machine learning and kriging methods
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Experimental and computational explorations of different forms of plasticity in motor learning and stroke recovery
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Photoplethysmogram-based biomarker for assessing risk of vaso-occlusive crisis in sickle cell disease: machine learning approaches
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Effective graph representation and vertex classification with machine learning techniques
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Mutual information estimation and its applications to machine learning
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A rigorous study of game-theoretic attribution and interaction methods for machine learning explainability
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Sparse feature learning for dynamic subsurface imaging
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Experimental design and evaluation methodology for human-centric visual quality assessment
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Deep learning techniques for supervised pedestrian detection and critically-supervised object detection
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