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If a model was trained in this way, the similarity of the representations of distinct tissue samples would hinder the ability of the model to distinguish between tissue types. We instead used a recent method 5 where a model is simultaneously trained to align the representations of the original and altered inputs, while also learning the best alteration to align samples.
Emma Slade Edmondson: I was born in Edgware, grew up in Harrow and then moved to Bushey when I was about 9. My mum was a huge influence on my fashion sense. She was always really into fashion, so ...
A late-fusion model is proposed, where each omics is passed through its own sub-network, the outputs of which are averaged and passed to the pretraining or downstream objective function. Multi-modal pretraining is shown to improve predictions from a single omics, and we argue that this is useful for datasets with many unlabelled multi-modal samples, but few labelled unimodal samples.
3 days ago · Writing a book and making fashion choices might not seem related, but for Emma Slade Edmondson and Nicole Ocran, they go hand-in-hand. The dopamine-inducing, eclectic dressing duo have just ...
The Ising model, as it is known in the language of statistical physics, is a particularly well-known approach which can be used to understand the underlying correlations in any form of binary data (“spins”) via pairwise and single-site interactions, often represented as a nxn matrix for a system of n spins. Inferring this matrix, however, is computationally demanding and often intractable ...
Emma Slade University of Bristol, United Kingdom Nripendra P. Rana Swansea University, United Kingdom Yogesh K. Dwivedi Swansea University, United Kingdom Abstract The aim of this research is to synthesise findings from existing studies on the characteristics of source credibility of electronic word of mouth (eWOM) communications in a single model
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AU - Slade, Emma. AU - Rana, Nripendra P. AU - Dwivedi, Yogesh K. PY - 2020/3. Y1 - 2020/3. N2 - The aim of this research is to synthesise findings from existing studies on the characteristics of source credibility of electronic word of mouth (eWOM) communications in a single model by using meta-analysis.
