The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

This work presents parameterized deep quantile regression for short-term probabilistic net-load forecasting at the distribution level. To be precise, we use a Deep Neural Network (DNN) to learn both ...

Background Coarctation of the aorta (CoA) has good modern results, but large multicentre longitudinal data on outcomes, especially hospital resource utilisation through childhood and adolescence, are ...

Therefore, in this paper, a logistic quantile regression (QR) model is provided to fill this gap and deal with continuous bounded outcomes with crash rate prediction. The crash data set from 2003 to ...

deep-learning tensorflow keras regression-models quantile-regression extreme-value-statistics Updated on Jun 2 R ...