[HTML][HTML] Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram
Artificial Intelligence (AI) use in automated Electrocardiogram (ECG) classification has
continuously attracted the research community's interest, motivated by their promising …
continuously attracted the research community's interest, motivated by their promising …
An extensive analysis of machine learning techniques with hyper-parameter tuning by Bayesian optimized SVM kernel for the detection of human lung disease
P Ramadevi, R Das - IEEE Access, 2024 - ieeexplore.ieee.org
The COVID-19 coronavirus epidemic started in Wuhan in 2019, had a detrimental impact on
millions of people's lives, and caused many fatalities. Different limitation choices were made …
millions of people's lives, and caused many fatalities. Different limitation choices were made …
Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images
R Morales, A Martinez-Arroyo, E Aguilar - Sensors, 2024 - mdpi.com
Deep networks can facilitate the monitoring of a balanced diet to help prevent various health
problems related to eating disorders. Large, diverse, and clean data are essential for …
problems related to eating disorders. Large, diverse, and clean data are essential for …
[PDF][PDF] UNCERTAINTY IN MACHINE LEARNING
MDASG BARANDAS - 2023 - run.unl.pt
Uncertainty is an inevitable and essential aspect of the world we live in and a fundamental
aspect of human decision-making. It is no different in the realm of machine learning. Just as …
aspect of human decision-making. It is no different in the realm of machine learning. Just as …
Uncertainty Quantification Based on Gaussian Processes for Image Segmentation Tasks
B Gao, R Chen, T Yu - 2024 2nd International Conference On …, 2024 - ieeexplore.ieee.org
Over the past several years, deep neural networks have permeated many fields of science
research and have become an essential part of real-world applications. However, when the …
research and have become an essential part of real-world applications. However, when the …
Uncertainty in Machine Learning a Safety Perspective on Biomedical Applications
MSG Barandas - 2023 - search.proquest.com
Uncertainty is an inevitable and essential aspect of the worldwe live in and a fundamental
aspect of human decision-making. It is no different in the realm of machine learning. Just as …
aspect of human decision-making. It is no different in the realm of machine learning. Just as …