.png){kind=icon}
返回
Virtual sample generation for small sample learning: A survey, recent developments and future prospects
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2024.128934.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Virtual sample generation (VSG) technology aims to generate virtual samples based on real samples, in order to expand the size of the datasets and improve model performance. However, there is limited research summarizing VSG technology, which motivates this paper. In recent years, VSG technology has grown as a crucial tool for augmenting datasets and enhancing model performance, particularly in the fields like image recognition, medicine, and quality control where small datasets are common issues. This paper aims to provide an updated review of VSG technology, focusing on three key techniques which are important for small sample analysis studies, including sampling-based, information diffusion-based, and Generative Adversarial Networks (GANs)based technology. In this review, we seek to identify the key trends in this field and to provide insights regarding the opportunities and challenges.
Keyword:
Virtual sample generation
Small datasets
Sampling
Information diffusion
Generative adversarial networks
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
USING A THROMBODYNAMICS TEST FOR DIAGNOSTICS OF HYPERCOAGULATION IN CANCER PATIENTS AND PREDICTION OF THROMBOEMBOLIC COMPLICATIONS: PRELIMINARY RESEARCH RESULTS使用血栓动力学试验对癌症患者的高凝状态进行诊断及血栓栓塞并发症的预测：初步研究结果
PREAI
分享收藏Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation用于复杂免疫荧光核图像分割的深度学习体系结构的评估
OAAI
OAAI分享收藏分享收藏A Monte Carlo and PSO based virtual sample generation method for enhancing the energy prediction and energy optimization on small data problem: An empirical study of petrochemical industries.png)
APPLIED ENERGY
APPLIED ENERGYIF11
PREAI
分享收藏A novel virtual sample generation method to improve the quality of data and the accuracy of data-driven modelsNEUROCOMPUTINGOAAI
NEUROCOMPUTINGIF6.5
OAAI分享收藏Handling limited datasets with neural networks in medical applications: A small-data approach在医疗应用中使用神经网络处理有限的数据集: 一种小数据方法OAAI
OAAI分享收藏RegGAN: A Virtual Sample Generative Network for Developing Soft Sensors with Small DataACS OMEGAOAAI
ACS OMEGAIF4.3
OAAI分享收藏
查看更多内容