Zobrazeno 1 - 10
of 931
pro vyhledávání: '"Hsi, Wen"'
Convolutional Neural Networks (CNNs) have dominated the majority of computer vision tasks. However, CNNs' vulnerability to adversarial attacks has raised concerns about deploying these models to safety-critical applications. In contrast, the Human Vi
Externí odkaz:
http://arxiv.org/abs/2405.06345
As deep generative models advance, we anticipate deepfakes achieving "perfection"-generating no discernible artifacts or noise. However, current deepfake detectors, intentionally or inadvertently, rely on such artifacts for detection, as they are exc
Externí odkaz:
http://arxiv.org/abs/2405.00483
Support-query shift few-shot learning aims to classify unseen examples (query set) to labeled data (support set) based on the learned embedding in a low-dimensional space under a distribution shift between the support set and the query set. However,
Externí odkaz:
http://arxiv.org/abs/2309.02088
Autor:
Tzu-Ruei Liao, Yuan-Wen Lee, Chuen-Chau Chang, Alan Hsi-Wen Liao, Yen-Chun Lai, Chih-Chung Liu
Publikováno v:
Perioperative Medicine, Vol 13, Iss 1, Pp 1-8 (2024)
Abstract Background The effect of elevated preoperative liver enzyme levels on postoperative outcomes is a topic of concern to clinicians. This study explored the association between elevated preoperative liver enzyme levels and surgical outcomes in
Externí odkaz:
https://doaj.org/article/78573c0614c5445391145feed6bdf89e
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift
Few-shot learning methods aim to embed the data to a low-dimensional embedding space and then classify the unseen query data to the seen support set. While these works assume that the support set and the query set lie in the same embedding space, a d
Externí odkaz:
http://arxiv.org/abs/2205.03817
With the successful creation of high-quality image-to-image (Img2Img) translation GANs comes the non-ethical applications of DeepFake and DeepNude. Such misuses of img2img techniques present a challenging problem for society. In this work, we tackle
Externí odkaz:
http://arxiv.org/abs/2110.02516
Autor:
Timson, Rebecca C., Khan, Artem, Uygur, Beste, Saad, Marwa, Yeh, Hsi-Wen, DelGaudio, Nicole L., Weber, Ross, Alwaseem, Hanan, Gao, Jing, Yang, Chingwen, Birsoy, Kıvanç
Publikováno v:
In Journal of Biological Chemistry February 2024 300(2)
Online social networks have become a crucial medium to disseminate the latest political, commercial, and social information. Users with high visibility are often selected as seeds to spread information and affect their adoption in target groups. We s
Externí odkaz:
http://arxiv.org/abs/2011.08946
Autor:
Ming-Yang Tsai, Bor-Ling Shih, Ren-Bao Liaw, Wen-Tsen Chen, Tsung-Yu Lee, Hsi-Wen Hung, Kuo-Hsiang Hung, Yih-Fwu Lin
Publikováno v:
Animal Bioscience, Vol 36, Iss 4, Pp 609-618 (2023)
Objective TLRI 211-1 is a novel Bacillus subtilis strain. This experiment was to investigate dietary supplementation of TLRI 211-1 on laying performance, egg quality and blood characteristics of layers. Methods One hundred and twenty 65-wk-old Leghor
Externí odkaz:
https://doaj.org/article/db22b7ea7def422f8b223fe98322da97
Autor:
Wen, Zhi-Hong, Kuo, Hsiao-Mei, Shih, Po-Chang, Hsu, Ling-Chen, Chuang, Jimmy Ming-Jung, Chen, Nan-Fu, Sun, Hsi-Wen, Liu, Hsin-Tzu, Sung, Chun-Sung, Chen, Wu-Fu
Publikováno v:
In Biomedicine & Pharmacotherapy April 2023 160