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Interpreting and predicting the economy flows: A time-varying parameter global vector autoregressive integrated the machine learning model
The paper proposes a time-varying parameter global vector autoregressive (TVP-GVAR) framework for predicting and analysing developed region economic variables.
The impact of spatio-temporal travel distance on epidemics using an interpretable attention-based sequence-to-sequence model
We unveil the geographical variations in the influence of population movement at different travel distances on the dynamics of epidemic spread.
Computational analysis of pathological image enables interpretable prediction for microsatellite instability
Microsatellite instability (MSI) is associated with several tumor types and its status has become increasingly vital in guiding patient treatment decisions.
A Fast and Effective Method of Macula Automatic Detection for Retina Images
Retina image processing is one of the crucial and popular topics of medical image processing.
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