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Machine Learning Models for Passive Pre-symptomatic Detection of Covid-19 from Smart Wearable Data
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Machine Learning for Optimizing Cognitive Radar Waveforms
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A Deep Semantic Segmentation Framework for Digitizing Paper Electrocardiograms with Data Augmentation using a Diffusion Model
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Mobile Paralinguistic Health Assessment from Speech: Energy-Efficient and Privacy-Preserving Neural Network Models
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Pressure Injury Stage Image Classification using Cross-Shaped Window Attention Vision Transformers
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Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images
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MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning Inference
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Visual Analytics for Smartphone Health Phenotyping
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Searching for Contextual Subtasks for Semantic Segmentation
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ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD Codes using BERT Models
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