An automatic diagnostic network using skew-robust adversarial discriminative domain adaptation to evaluate the severity of depression

Sun Bo; Zhang Yinghui; He Jun; Xiao Yongkang; Xiao Rong

首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >An automatic diagnostic network using skew-robust adversarial discriminative domain adaptation to evaluate the severity of depression

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An automatic diagnostic network using skew-robust adversarial discriminative domain adaptation to evaluate the severity of depression

机译：一种自动诊断网络，使用歪斜强大的对抗鉴别域适应来评估抑郁症的严重程度

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摘要

Background and Objective: Deep learning provides an automatic and robust solution to depression severity evaluation. However, despite it is powerful, there is a trade-off between robust performance and the cost of manual annotation.

机译：背景和目的：深度学习为抑郁严重性评估提供自动和强大的解决方案。但是，尽管它是强大的，但在强大的性能和手动注释的成本之间存在权衡。

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《Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice》 |2019年第2019期|共11页
作者
Sun Bo; Zhang Yinghui; He Jun; Xiao Yongkang; Xiao Rong;
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作者单位

Beijing Normal Univ Informat Sci &

Technol Coll Intelligent Comp &

Software Res Ctr 19 Xinjiekou;

Beijing Normal Univ Informat Sci &

Technol Coll Intelligent Comp &

Software Res Ctr 19 Xinjiekou;

Beijing Normal Univ Informat Sci &

Technol Coll Intelligent Comp &

Software Res Ctr 19 Xinjiekou;

Beijing Normal Univ Informat Sci &

Technol Coll Intelligent Comp &

Software Res Ctr 19 Xinjiekou;

Beijing Normal Univ Informat Sci &

Technol Coll Intelligent Comp &

Software Res Ctr 19 Xinjiekou;

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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
Deep learning; Domain adaptation; Skew-robustness; Adversarial learning; Knowledge evolution;

机译：深度学习;领域适应;歪斜鲁棒性;对抗学习;知识进化;

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1. An automatic diagnostic network using skew-robust adversarial discriminative domain adaptation to evaluate the severity of depression [J] . Sun Bo, Zhang Yinghui, He Jun, Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2019,第期

机译：一种自动诊断网络，使用歪斜强大的对抗鉴别域适应来评估抑郁症的严重程度
2. Robust adversarial discriminative domain adaptation for real-world cross-domain visual recognition [J] . Yang Jianfei, Zou Han, Zhou Yuxun, Neurocomputing . 2021,第Apra14期

机译：真正的对抗歧视域适应真实世界跨域视觉识别
3. Cross-domain speaker recognition using domain adversarial siamese network with a domain discriminator [J] . Chen Zhigao, Miao Xiaoxiao, Xiao Runqiu, Electronics Letters . 2020,第14期

机译：跨域扬声器识别使用域对抗暹罗网络具有域鉴别器
4. Adversarial Domain Adaptation with a Domain Similarity Discriminator for Semantic Segmentation of Urban Areas [C] . Liang Yan, Bin Fan, Shiming Xiang, IEEE International Conference on Image Processing . 2018

机译：具有域相似度鉴别器的对抗性域自适应，用于城市区域语义分割
5. Acoustic modeling for automatic speech recognition: Deriving discriminative Gaussian networks. [D] . Teunen, Remco. 2003

机译：用于自动语音识别的声学模型：推导判别式高斯网络。
6. Cross-Machine Fault Diagnosis with Semi-Supervised Discriminative Adversarial Domain Adaptation [O] . Xiaodong Wang, Feng Liu, Dongdong Zhao 2020

机译：半监督歧视性对抗域适应交叉机故障诊断
7. ADVERSARIAL DISCRIMINATIVE DOMAIN ADAPTATION FOR DEFORESTATION DETECTION [O] . J. Noa, P. J. Soto, G. A. O. P. Costa, 2021

机译：对砍伐森林检测的对抗鉴别域适应

An automatic diagnostic network using skew-robust adversarial discriminative domain adaptation to evaluate the severity of depression

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