A Comprehensive Survey on Evidential Deep Learning and Its Applications
Reliable uncertainty estimation has become a crucial requirement for the industrial
deployment of deep learning algorithms, particularly in high-risk applications such as …
deployment of deep learning algorithms, particularly in high-risk applications such as …
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
F Fakour, A Mosleh, R Ramezani - arXiv preprint arXiv:2406.00332, 2024 - arxiv.org
The adaptation and use of Machine Learning (ML) in our daily lives has led to concerns in
lack of transparency, privacy, reliability, among others. As a result, we are seeing research in …
lack of transparency, privacy, reliability, among others. As a result, we are seeing research in …
Enhancing deforestation monitoring in the Brazilian Amazon: A semi-automatic approach leveraging uncertainty estimation
JAC Martinez, GAOP da Costa, CG Messias… - ISPRS Journal of …, 2024 - Elsevier
Official governmental monitoring of deforestation in the Brazilian Amazon relies on human
experts conducting visual analyzes of remote sensing images, an approach that is very …
experts conducting visual analyzes of remote sensing images, an approach that is very …
Efficient, robust and uncertainty aware mobile health
L Qendro - 2023 - repository.cam.ac.uk
Sensor-equipped smartphones and wearables are transforming various mobile applications,
including health monitoring. As the difference between consumer health wearables and …
including health monitoring. As the difference between consumer health wearables and …
Reliable and decentralised deep learning for physiological data
T Xia - 2024 - repository.cam.ac.uk
Physiological data encompass measurements from various bodily functions and processes.
By employing machine learning to model these data, especially with the advancement of …
By employing machine learning to model these data, especially with the advancement of …