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High throughput computational framework for synthesis and accelerated discovery of dielectric polymer materials using polarizable reactive molecular dynamics and graph neural networks
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Object classification based on neural-network-inspired image transforms
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Theory of memory-enhanced neural systems and image-assisted neural machine translation
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Deep learning techniques for supervised pedestrian detection and critically-supervised object detection
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Exploring complexity reduction in deep learning
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Brain tumor segmentation
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Developing a neural prosthesis for hippocampus: proof-of-concept using the in vitro slice
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A data-driven approach to image splicing localization
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Optimal designs for high throughput stream processing using universal RAM-based permutation network
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Machine learning methods for 2D/3D shape retrieval and classification
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Machine learning techniques for perceptual quality enhancement and semantic image segmentation
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Biologically inspired approaches to computer vision
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Human appearance analysis and synthesis using deep learning
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Understanding sources of variability in learning robust deep audio representations
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Computer vision aided object localization for the visually impaired
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Evaluating machine learning tools for humanitarian road network mapping
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Molecular classification of breast cancer specimens from tissue morphology
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A deep learning approach to online single and multiple object tracking
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3D deep learning for perception and modeling
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Nonlinear physiological system modeling with Laguerre-Volterra networks: Methods and applications
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Data-driven 3D hair digitization
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Recording, reconstructing, and relighting virtual humans
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Video object segmentation and tracking with deep learning techniques
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Functional models of fMRI BOLD signal in the visual cortex
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Data-driven approaches to studying protein-DNA interactions from a structural point of view
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