Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Deep learning for depression recognition with audiovisual cues: A review
With the acceleration of the pace of work and life, people are facing more and more
pressure, which increases the probability of suffering from depression. However, many …
pressure, which increases the probability of suffering from depression. However, many …
Automatic assessment of depression based on visual cues: A systematic review
Automatic depression assessment based on visual cues is a rapidly growing research
domain. The present exhaustive review of existing approaches as reported in over sixty …
domain. The present exhaustive review of existing approaches as reported in over sixty …
Challenges for artificial intelligence in recognizing mental disorders
Artificial Intelligence (AI) appears to be making important advances in the prediction and
diagnosis of mental disorders. Researchers have used visual, acoustic, verbal, and …
diagnosis of mental disorders. Researchers have used visual, acoustic, verbal, and …
Toward a social psychophysics of face communication
As a highly social species, humans are equipped with a powerful tool for social
communication—the face. Although seemingly simple, the human face can elicit multiple …
communication—the face. Although seemingly simple, the human face can elicit multiple …
Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A …
Mental disorders are rapidly increasing each year and have become a major challenge
affecting the social and financial well-being of individuals. There is a need for phenotypic …
affecting the social and financial well-being of individuals. There is a need for phenotypic …
Deep neural networks for depression recognition based on 2d and 3d facial expressions under emotional stimulus tasks
The proportion of individuals with depression has rapidly increased along with the growth of
the global population. Depression has been the currently most prevalent mental health …
the global population. Depression has been the currently most prevalent mental health …
[HTML][HTML] Fusing features of speech for depression classification based on higher-order spectral analysis
X Miao, Y Li, M Wen, Y Liu, IN Julian, H Guo - Speech Communication, 2022 - Elsevier
Approximately 300 million people worldwide suffer from depression, and more than 60% of
psychiatric patients do not have access to mental health services due to the shortage of …
psychiatric patients do not have access to mental health services due to the shortage of …
Automatic identification of depression using facial images with deep convolutional neural network
X Kong, Y Yao, C Wang, Y Wang… - … Medical Journal of …, 2022 - pmc.ncbi.nlm.nih.gov
Background Depression is a common disease worldwide, with about 280 million people
having depression. The unique facial features of depression provide a basis for automatic …
having depression. The unique facial features of depression provide a basis for automatic …
A Comprehensive Analysis of Speech Depression Recognition Systems
Being the third most common cause of disability globally, clinical depression is a serious
global health concern that is characterized by melancholy, loneliness, and low self-esteem …
global health concern that is characterized by melancholy, loneliness, and low self-esteem …
Enacting 'more-than-human'care: Clients' and counsellors' views on the multiple affordances of chatbots in alcohol and other drug counselling
Forms of artificial intelligence (AI), such as chatbots that provide automated online
counselling, promise to revolutionise alcohol and other drug treatment. Although the …
counselling, promise to revolutionise alcohol and other drug treatment. Although the …