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Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with Limited Labeled Data
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Visual Analytics for Smartphone Health Phenotyping
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MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning Inference
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Many-Light Real-Time Global Illumination using Sparse Voxel Octree
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Using Bandwidth Estimation to Optimize Buffer and Rate Selection for Streaming Multimedia over IEEE 802.11 Wireless Networks
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Targeted Prioritized Processing in Overloaded Data Stream Systems
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The Study of Energy Consumption of Acceleration Structures for Dynamic CPU and GPU Ray Tracing
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Predicting TBI by using Smartphone-sensed mobility patterns, gait and balance
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Contributions to Collective Dynamical Clustering-Modeling of Discrete Time Series
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Pattern Mining and Sense-Making Support for Enhancing the User Experience
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ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD Codes using BERT Models
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Body Deformation Correction for SPECT Imaging
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Automatic Emotion Detection in Text Messages using Supervised Learning
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Recurring Query Processing on Big Data
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Remote Execution for 3D Graphics
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Adaptive Spectral Mapping for Real-Time Dispersive Refraction
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Investigating Gyroscope Sway Features, Normalization, and Personalization in Detecting Intoxication in Smartphone Users
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Searching for Contextual Subtasks for Semantic Segmentation
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A Context-Aware Smartphone Application to Mitigate Sedentary Lifestyle
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Traumatic Brain Injury (TBI) detection and bioscore generation for ailment monitoring using smartphone sensor data
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