Zobrazeno 1 - 10
of 30 220
pro vyhledávání: '"Yu-Jin So"'
Publikováno v:
Journal of Pharmacopuncture, Vol 27, Iss 4, Pp 308-321 (2024)
Objectives: Among the various treatment methods involving the use of natural substances, pharmacopuncture using animal venom is a relatively new form of acupuncture that has been developed in South Korea and is gaining popularity worldwide. Pharmacop
Externí odkaz:
https://doaj.org/article/c0599d3ceaad48cb935b4eca7acacf51
Cone-beam computed tomography (CBCT) typically requires hundreds of X-ray projections, which raises concerns about radiation exposure. While sparse-view reconstruction reduces the exposure by using fewer projections, it struggles to achieve satisfact
Externí odkaz:
http://arxiv.org/abs/2411.00900
Publikováno v:
International Conference on Machine Learning (ICML), 2024
We aim to address Multi-Task Learning (MTL) with a large number of tasks by Multi-Task Grouping (MTG). Given N tasks, we propose to simultaneously identify the best task groups from 2^N candidates and train the model weights simultaneously in one-sho
Externí odkaz:
http://arxiv.org/abs/2407.05082
Publikováno v:
International Conference on Learning Representations (ICLR), 2024
We aim at exploiting additional auxiliary labels from an independent (auxiliary) task to boost the primary task performance which we focus on, while preserving a single task inference cost of the primary task. While most existing auxiliary learning m
Externí odkaz:
http://arxiv.org/abs/2405.05695
Autor:
Ming, Yu, Wu, Zihao, Yang, Jie, Li, Danyi, Gao, Yuan, Gao, Changxin, Xia, Gui-Song, Li, Yuanqing, Liang, Li, Yu, Jin-Gang
Nucleus instance segmentation from histopathology images suffers from the extremely laborious and expert-dependent annotation of nucleus instances. As a promising solution to this task, annotation-efficient deep learning paradigms have recently attra
Externí odkaz:
http://arxiv.org/abs/2402.16280
Publikováno v:
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence(IJCAI 2023). Main Track. Pages 1142-1150
Weakly supervised instance segmentation (WSIS) using only image-level labels is a challenging task due to the difficulty of aligning coarse annotations with the finer task. However, with the advancement of deep neural networks (DNNs), WSIS has garner
Externí odkaz:
http://arxiv.org/abs/2402.07633
Autor:
Yae-Jee Baek, Yun-Suk Cho, Moo-Hyun Kim, Jong-Hoon Hyun, Yu-Jin Sohn, Song-Yee Kim, Su-Jin Jeong, Moo-Suk Park, Jin-Gu Lee, Hyo-Chae Paik
Publikováno v:
Journal of Fungi, Vol 7, Iss 8, p 639 (2021)
(1) Background: Lung transplant recipients (LTRs) are at substantial risk of invasive fungal disease (IFD), although no consensus has been reached on the use of antifungal agents (AFAs) after lung transplantation (LTx). This study aimed to assess the
Externí odkaz:
https://doaj.org/article/738a4644c5c04486bbc320c316f8e34f
Bridge detection in remote sensing images (RSIs) plays a crucial role in various applications, but it poses unique challenges compared to the detection of other objects. In RSIs, bridges exhibit considerable variations in terms of their spatial scale
Externí odkaz:
http://arxiv.org/abs/2312.02481
Autor:
Seunghan Lee, Mohammad Moniruzzaman, Jinho Bae, Minji Seong, Yu-jin Song, Bakshish Dosanjh, Sungchul C. Bai
Publikováno v:
Fisheries and Aquatic Sciences, Vol 19, Iss 1, Pp 1-6 (2016)
Abstract A feeding trial was conducted to evaluate the effects of two different sizes of extruded pellets (EP) (EP1 - 3 mm or EP2 - 5 mm) and a moist pellet (MP) in olive flounder, Paralichthys olivaceus, reared in semi-recirculation system. A total
Externí odkaz:
https://doaj.org/article/06f23370d5b6400e94ff6379bc099c83
Autor:
Shen, Dong-Xiang, Li, Gang, Abdusamatjan, Iskandar, Fu, Jian-Ning, Zhu, Chun-Hua, Yu, Jin-Long, Zhang, Yu, Lv, Guo-Liang, Zhai, Nan-Nan, Liu, Jin-Zhong
Magnetic hot stars refer to the stars, which effective temperatures approximately in the range from 7,000 to 50,000 K, and with large-scale globally organized magnetic fields. These magnetic fields exhibit strengths ranging from tens of Gauss to tens
Externí odkaz:
http://arxiv.org/abs/2308.15687