Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Nian Yi"'
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
ObjectivesConsidering the importance of mental health help-seeking, researchers have closely examined the relationship between mental health literacy (MHL) and help-seeking intention (HSI). Furthermore, the high impact of stigma and the potential val
Externí odkaz:
https://doaj.org/article/e8f3a8a0e72a43a2a4ceae9a90e6391f
How can we automatically select an out-of-distribution (OOD) detection model for various underlying tasks? This is crucial for maintaining the reliability of open-world applications by identifying data distribution shifts, particularly in critical do
Externí odkaz:
http://arxiv.org/abs/2410.03074
Publikováno v:
Proceedings of the 2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE), 2024, pp. 214-218
In the ever-evolving landscape of social network advertising, the volume and accuracy of data play a critical role in the performance of predictive models. However, the development of robust predictive algorithms is often hampered by the limited size
Externí odkaz:
http://arxiv.org/abs/2404.13812
Publikováno v:
Proceedings of the 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), 2024, pp. 681-685
This study explores innovative methods for improving Visual Question Answering (VQA) using Generative Adversarial Networks (GANs), autoencoders, and attention mechanisms. Leveraging a balanced VQA dataset, we investigate three distinct strategies. Fi
Externí odkaz:
http://arxiv.org/abs/2404.13565
Publikováno v:
Journal of Engineering Science and Technology Review, Vol 11, Iss 1, Pp 174-179 (2018)
Externí odkaz:
https://doaj.org/article/e5cc74528ec2461a946d726fa35fbd2a
Autor:
Hu, Xinyue, Sun, Zenan, Nian, Yi, Wang, Yichen, Dang, Yifang, Li, Fang, Feng, Jingna, Yu, Evan, Tao, Cui
Background: Alzheimer's disease and related dementias (ADRD) ranks as the sixth leading cause of death in the US, underlining the importance of accurate ADRD risk prediction. While recent advancement in ADRD risk prediction have primarily relied on i
Externí odkaz:
http://arxiv.org/abs/2309.06584
Publikováno v:
Yearb Med Inform . 2023 Aug;32(1):215-224. Epub 2023 Dec 26
Graph representation learning (GRL) has emerged as a pivotal field that has contributed significantly to breakthroughs in various fields, including biomedicine. The objective of this survey is to review the latest advancements in GRL methods and thei
Externí odkaz:
http://arxiv.org/abs/2306.10456
Graph neural networks (GNNs) have emerged as a powerful model to capture critical graph patterns. Instead of treating them as black boxes in an end-to-end fashion, attempts are arising to explain the model behavior. Existing works mainly focus on loc
Externí odkaz:
http://arxiv.org/abs/2306.10447
Autor:
Nian, Yi, Hu, Xinyue, Zhang, Rui, Feng, Jingna, Du, Jingcheng, Li, Fang, Chen, Yong, Tao, Cui
Publikováno v:
BMC Bioinformatics volume 23, Article number: 407 (2022)
To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic representation for heterogeneous data, and have been successfully leveraged in many biomedical applications includ
Externí odkaz:
http://arxiv.org/abs/2202.08712
To date, there are no effective treatments for most neurodegenerative diseases. However, certain foods may be associated with these diseases and bring an opportunity to prevent or delay neurodegenerative progression. Our objective is to construct a k
Externí odkaz:
http://arxiv.org/abs/2109.06123