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In self-supervised contrastive learning, a widely-adopted objective function is InfoNCE, which uses the heuristic cosine similarity for the representation comparison, and is closely related to maximizing the Kullback-Leibler (KL)-based mutual informa
Externí odkaz:
http://arxiv.org/abs/2402.10150
Publikováno v:
BMJ Open, Vol 14, Iss 8 (2024)
Background This study aimed to assess the cost-effectiveness of durvalumab as a treatment option for patients with inoperable stage III non-small cell lung cancer (NSCLC) from healthcare and partial societal perspectives in Vietnam.Method A lifetime
Externí odkaz:
https://doaj.org/article/2a133f504fe44857839d1a2c73b03d8e
Publikováno v:
BMJ Open, Vol 14, Iss 8 (2024)
Objective This study was conducted with the objective of exploring the usage of health-related quality of life (HRQOL) outcomes and willingness of health technology assessment (HTA) and public health stakeholders to use the EQ-5D-5L instrument in hea
Externí odkaz:
https://doaj.org/article/859b62ff81ed47c695b72b711dd81d3d
Autor:
Guo, Hongyu, Sun, Sun
Augmented graphs play a vital role in regularizing Graph Neural Networks (GNNs), which leverage information exchange along edges in graphs, in the form of message passing, for learning. Due to their effectiveness, simple edge and node manipulations (
Externí odkaz:
http://arxiv.org/abs/2204.10390
Publikováno v:
In Transportation Research Part C June 2024 163
Autor:
Sun, Sun, Guo, Hongyu
Leveraging the framework of Optimal Transport, we introduce a new family of generative autoencoders with a learnable prior, called Symmetric Wasserstein Autoencoders (SWAEs). We propose to symmetrically match the joint distributions of the observed d
Externí odkaz:
http://arxiv.org/abs/2106.13024
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0297450 (2024)
Several literature review studies have been conducted on cost-effectiveness threshold values. However, only a few are systematic literature reviews, and most did not investigate the different methods, especially in-depth reviews of directly eliciting
Externí odkaz:
https://doaj.org/article/8df73adf2e4d481d989f162201c7132e
Autor:
Lim, Sun Sun, Bouffanais, Roland
Publikováno v:
IEEE Technology and Society Magazine, (38):4, pp. 17-19, 2019
Social media have been seen to accelerate the spread of negative content such as disinformation and hate speech, often unleashing reckless herd mentality within networks, further aggravated by malicious entities using bots for amplification. So far,
Externí odkaz:
http://arxiv.org/abs/1910.01303