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Found 6 papers, 0 papers with code
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation
Accurately predicting hospital length-of-stay at the time a patient is admitted to hospital may help guide clinical decision making and resource allocation.
Prediction of the 2023 Turkish Presidential Election Results Using Social Media Data
Social media platforms influence the way political campaigns are run and therefore they have become an increasingly important tool for politicians to directly interact with citizens.
Interpretable Time Series Clustering Using Local Explanations
The explanations are used to obtain insights into the clustering models.
Improved $α$-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning
On a synthetic dataset of connected 3D spheres and ellipsoids, our model can generate fully connected 3D shapes with similar geometrical characteristics to that of training data.
VARGAN: Variance Enforcing Network Enhanced GAN
Generative adversarial networks (GANs) are one of the most widely used generative models.
An empirical study on using CNNs for fast radio signal prediction
We compare deep learning-based prediction models including RadioUNET and four different variations of the UNET model for the power prediction task.
