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pro vyhledávání: '"Yu, Jen"'
Multicomponent phase separation is a routine occurrence in both living and synthetic systems. Thermodynamics provides a straightforward path to determine the phase boundaries that characterize these transitions for systems at equilibrium. The prevale
Externí odkaz:
http://arxiv.org/abs/2409.07620
Autor:
Kao, Chia-Hao, Chien, Cheng, Tseng, Yu-Jen, Chen, Yi-Hsin, Gnutti, Alessandro, Lo, Shao-Yuan, Peng, Wen-Hsiao, Leonardi, Riccardo
This paper presents the first-ever study of adapting compressed image latents to suit the needs of downstream vision tasks that adopt Multimodal Large Language Models (MLLMs). MLLMs have extended the success of large language models to modalities (e.
Externí odkaz:
http://arxiv.org/abs/2407.19651
The robust instability of an unstable plant subject to stable perturbations is of significant importance and arises in the study of sustained oscillatory phenomena in nonlinear systems. This paper analyzes the robust instability of linear discrete-ti
Externí odkaz:
http://arxiv.org/abs/2407.02802
Autor:
Kong, Qingpeng, Chiu, Ching-Hao, Zeng, Dewen, Chen, Yu-Jen, Ho, Tsung-Yi, hu, Jingtong, Shi, Yiyu
Numerous studies have revealed that deep learning-based medical image classification models may exhibit bias towards specific demographic attributes, such as race, gender, and age. Existing bias mitigation methods often achieve high level of fairness
Externí odkaz:
http://arxiv.org/abs/2405.08681
Fairness has become increasingly pivotal in machine learning for high-risk applications such as machine learning in healthcare and facial recognition. However, we see the deficiency in the previous logits space constraint methods. Therefore, we propo
Externí odkaz:
http://arxiv.org/abs/2402.13061
In medical image diagnosis, fairness has become increasingly crucial. Without bias mitigation, deploying unfair AI would harm the interests of the underprivileged population and potentially tear society apart. Recent research addresses prediction bia
Externí odkaz:
http://arxiv.org/abs/2401.08066
Autor:
Chun-Hou Liao, Xiao-Wen Tseng, Chellappan Praveen Rajneesh, Yu-Jen Chang, Ming-Song Tsai, Wen-Chun Hsu, Kuo-Chiang Chen, Yi-No Wu
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Background Intracavernous (IC) injections of stem cells has been shown to ameliorate cavernous nerve (CN)-induced erectile dysfunction (ED). However, the regenerative effects underlying the recovery of erectile function (EF) in human amnioti
Externí odkaz:
https://doaj.org/article/f005deb4391b4b5ea8d75b5b70c685f5
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-7 (2024)
Abstract Background Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is a rare disease seen in the general population and has been reported as showing an increased incidence in the peritoneal dialysis (PD) population, as documented in
Externí odkaz:
https://doaj.org/article/453935db5ec041adb6654da719d84827
Autor:
Li-Yang Chan, Yih-Jong Chern, Yu-Jen Hsu, Bor-Kang Jong, I-Li Lai, Pao-Shiu Hsieh, Chun-Kai Liao, Jeng-Fu You
Publikováno v:
World Journal of Surgical Oncology, Vol 22, Iss 1, Pp 1-12 (2024)
Abstract Purpose Conventional minimally invasive surgery requires mini-laparotomy to extract the pathological specimen. However, by using a natural orifice as the delivery route, natural orifice specimen extraction (NOSE) surgery avoids the need for
Externí odkaz:
https://doaj.org/article/d2103c88e44045788ca70b346351c01c
Fairness has become increasingly pivotal in medical image recognition. However, without mitigating bias, deploying unfair medical AI systems could harm the interests of underprivileged populations. In this paper, we observe that while features extrac
Externí odkaz:
http://arxiv.org/abs/2306.14518