Efficient Training of Probabilistic Neural Networks for Survival Analysis
CM Lillelund, M Magris… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Variational Inference (VI) is a commonly used technique for approximate Bayesian inference
and uncertainty estimation in deep learning models, yet it comes at a computational cost, as …
and uncertainty estimation in deep learning models, yet it comes at a computational cost, as …
Supervised Electrocardiogram (ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction
An electrocardiogram (ECG) provides crucial information about an individual's health status.
Researchers utilize ECG data to develop learners for a variety of tasks, ranging from …
Researchers utilize ECG data to develop learners for a variety of tasks, ranging from …
A probabilistic estimation of remaining useful life from censored time-to-event data
CM Lillelund, F Pannullo, MO Jakobsen… - arXiv preprint arXiv …, 2024 - arxiv.org
Predicting the remaining useful life (RUL) of ball bearings plays an important role in
predictive maintenance. A common definition of the RUL is the time until a bearing is no …
predictive maintenance. A common definition of the RUL is the time until a bearing is no …