Tracking and tracing in the UK: a dynamic causal modelling study
By equipping a previously reported dynamic causal model of COVID-19 with an
isolation state, we modelled the effects of self-isolation consequent on
t...
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Find all the TopTabular papers. Links to pdf, code repos and demos are provided.
By equipping a previously reported dynamic causal model of COVID-19 with an
isolation state, we modelled the effects of self-isolation consequent on
t...
see more
An interesting inference drawn by some Covid-19 epidemiological models is
that there exists a proportion of the population who are not susceptible to
...
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We report a droplet microfluidic method to target and sort individual cells directly from complex microbiome samples, and to prepare these cells for b...
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Feature selection is indispensable in microbiome data analysis, but it can be particularly challenging as microbiome data sets are high-dimensional, u...
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Microbiome studies have recently transitioned from experimental designs with a few hundred samples to designs spanning tens of thousands of samples. M...
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Deep learning models have shown great promise in various healthcare monitoring applications. However, most healthcare datasets with high-quality (gold...
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Deep learning models have shown great promise in various healthcare applications. However, most models are developed and validated on small-scale data...
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To date, research on sensor-equipped mobile devices has primarily focused on the purely supervised task of human activity recognition (walking, runnin...
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Cardiorespiratory fitness is an established predictor of metabolic disease and mortality. Fitness is directly measured as maximal oxygen consumption (...
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Presents SelfHAR, a semi-supervised model designed to enhance Human Activity Recognition (HAR) by effectively utilizing unlabeled datasets to improve ...
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Wearable devices such as smartwatches are becoming increasingly popular tools for objectively monitoring physical activity in free-living conditions. ...
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Introduces a novel algorithm for minimizing nonlinear dependencies among feature dimensions in neural networks, extending beyond traditional linear de...
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