B Cui, H Wang - Process Safety and Environmental Protection, 2024 - Elsevier
This study developed an ensemble Bayesian Neural Network (BNN) model for pipeline corrosion prediction incorporating uncertainty analysis. The performance of the proposed …
In this paper, we seek to improve the faithfulness of TempRel extraction models from two perspectives. The first perspective is to extract genuinely based on contextual description …
The ongoing coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on patients and healthcare systems across the world. Distinguishing non-COVID-19 patients …
We present a novel Cascade Reliability Framework (CRF) that integrates two independent cascade layers of reliability (ie, variational temperature scaling and conformal prediction) …
We investigate the cold posterior effect through the lens of PAC-Bayes generalization bounds. We argue that in the non-asymptotic setting, when the number of training samples is …
W Aldhahi, T Albusair, S Sull - Electronics, 2022 - mdpi.com
The most mysterious question humans have ever attempted to answer for centuries is,“What is beauty, and how does the brain decide what beauty is?”. The main problem is that beauty …
K Pitas, J Arbel - Proceedings of Machine Learning …, 2023 - proceedings.mlr.press
Our case can be seen as a greatly simplified case of Online Variational Inference Chérief- Abdellatif et al.(2019) for the set Zvalidation∪ Ztrain. In fact, in a truly Bayesian approach we …
F Küppers - arXiv preprint arXiv:2302.02622, 2023 - arxiv.org
Image-based environment perception is an important component especially for driver assistance systems or autonomous driving. In this scope, modern neuronal networks are …
Probabilistic calibration of a binary classifier, applied to detecting sleeping state in a car drive Page 1 P osted on 26 Apr 2024 — The cop yrigh t holder is the author/funder. All righ ts reserv …