VisActive: Visual-concept-based Active Learning for Image Classification under Class Imbalance
Active learning methods recommend the most informative images from a large unlabeled
dataset for manual labeling. These methods improve the performance of an image classifier …
dataset for manual labeling. These methods improve the performance of an image classifier …
基于SHAP-RF 框架的越野车辆路面识别算法研究
赵健， 刘彦辰， 朱冰， 李扬， 李雅欣， 孔德成， 姜泓屹 - 力学学报, 2022 - lxxb.cstam.org.cn
根据越野车辆在不同路面上行驶时的动力学响应特征, 可以实现路面类型的在线识别,
为面向路面特征调整底盘控制子系统参数从而获取更好的行驶性能奠定基础 …
为面向路面特征调整底盘控制子系统参数从而获取更好的行驶性能奠定基础 …
Research on Road Recognition Algorithm of Off-Road Vehicle Based on Shap-Rf Framework
Z Jian, L Yanchen, Z Bing, L Yang, L Yaxin… - Chinese Journal of …, 2022 - lxxb.cstam.org.cn
The road identification of off-road vehicles can be carried out according to the dynamic
response on different road surfaces, which lays a foundation for adjusting the parameters of …
response on different road surfaces, which lays a foundation for adjusting the parameters of …
Interpreting deep text quantification models
YQ Bang, M Khaleel, W Tavanapong - International Conference on …, 2023 - Springer
Quantification learning is a relatively new deep learning task. Differing from a classic
classification problem where the class of a single instance is predicted, a quantification …
classification problem where the class of a single instance is predicted, a quantification …
Improve the trustworthiness of medical text interpretations
S Song, T Chen, G Antoniou - 2022 IEEE-EMBS International …, 2022 - ieeexplore.ieee.org
Currently, how to make a concrete and correct disease prediction is a popular research
trend. Researchers made more efforts to develop various models to provide interpretations …
trend. Researchers made more efforts to develop various models to provide interpretations …