Challenges in the real world use of classification accuracy metrics: From recall and precision to the Matthews correlation coefficient
GM Foody - Plos one, 2023 - journals.plos.org
The accuracy of a classification is fundamental to its interpretation, use and ultimately
decision making. Unfortunately, the apparent accuracy assessed can differ greatly from the …
decision making. Unfortunately, the apparent accuracy assessed can differ greatly from the …
Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis
Abstract Domain generalization-based fault diagnosis (DGFD) has garnered significant
attention due to its ability to generalize prior diagnostic knowledge to unseen working …
attention due to its ability to generalize prior diagnostic knowledge to unseen working …
Margin-aware rectified augmentation for long-tailed recognition
The long-tailed data distribution is prevalent in real world and it poses great challenge on
deep neural network training. In this paper, we propose Margin-aware Rectified …
deep neural network training. In this paper, we propose Margin-aware Rectified …
深度长尾学习研究综述
韩佳艺， 刘建伟， 陈德华， 徐璟东， 代琪， 夏鹏飞 - 自动化学报, 2024 - aas.net.cn
深度学习是一门依赖于数据的科学, 传统深度学习方法假定在平衡数据集上训练模型, 然而,
现实世界中大规模数据集通常表现出长尾分布现象, 样本数量众多的少量头部类主导模型训练 …
现实世界中大规模数据集通常表现出长尾分布现象, 样本数量众多的少量头部类主导模型训练 …
Computer aided diagnosis of melanoma using deep neural networks and game theory: application on dermoscopic images of skin lesions
Early detection of melanoma remains a daily challenge due to the increasing number of
cases and the lack of dermatologists. Thus, AI-assisted diagnosis is considered as a …
cases and the lack of dermatologists. Thus, AI-assisted diagnosis is considered as a …
A video-based augmented reality system for human-in-the-loop muscle strength assessment of juvenile dermatomyositis
As the most common idiopathic inflammatory myopathy in children, juvenile dermatomyositis
(JDM) is characterized by skin rashes and muscle weakness. The childhood myositis …
(JDM) is characterized by skin rashes and muscle weakness. The childhood myositis …
Multi-domain Class-imbalance Generalization with Fault Relationship-induced Augmentation for Intelligent Fault Diagnosis
Domain generalization-based fault diagnosis (DGFD) has attracted considerable attention
due to its potential to extend diagnostic knowledge to previously unseen operational …
due to its potential to extend diagnostic knowledge to previously unseen operational …
Improving the heavy rainfall forecasting using a weighted deep learning model
Weather forecasting has been playing an important role in socio-economics. However,
operational numerical weather prediction (NWP) is insufficiently accurate in terms of …
operational numerical weather prediction (NWP) is insufficiently accurate in terms of …
Dual-branch network with hypergraph feature augmentation and adaptive logits adjustment for long-tailed visual recognition
J Han, J Liu, J Xu - Applied Soft Computing, 2024 - Elsevier
The long-tailed distribution presents issues of data scarcity and significant class imbalance,
which causes the model to increase the prediction tendency for the head classes and …
which causes the model to increase the prediction tendency for the head classes and …
Hierarchical block aggregation network for long-tailed visual recognition
S Pang, W Wang, R Zhang, W Hao - Neurocomputing, 2023 - Elsevier
It is usually supposed that training database is manually balanced in traditional visual
recognition tasks. However, in nature, data tends to follow long-tailed distributions. In recent …
recognition tasks. However, in nature, data tends to follow long-tailed distributions. In recent …