Zobrazeno 1 - 10
of 60 698
pro vyhledávání: '"Liu, Ying"'
Autor:
Rangnekar, Aneesh, Boehm, Kevin M., Aherne, Emily A., Nikolovski, Ines, Gangai, Natalie, Liu, Ying, Zamarin, Dimitry, Roche, Kara L., Shah, Sohrab P., Lakhman, Yulia, Veeraraghavan, Harini
Two self-supervised pretrained transformer-based segmentation models (SMIT and Swin UNETR) fine-tuned on a dataset of ovarian cancer CT images provided reasonably accurate delineations of the tumors in an independent test dataset. Tumors in the adnex
Externí odkaz:
http://arxiv.org/abs/2406.17666
On 2022 March 28 two successive coronal mass ejections (CMEs) were observed by multiple spacecraft and resulted in a magnetic cloud (MC) at 1 AU. We investigate the propagation and interaction properties of the two CMEs correlated with the MC using c
Externí odkaz:
http://arxiv.org/abs/2406.13603
Autor:
Li, Min, Chen, Chen, Xiong, Zhuang, Liu, Ying, Rong, Pengfei, Shan, Shanshan, Liu, Feng, Sun, Hongfu, Gao, Yang
Quantitative susceptibility mapping (QSM) is an MRI phase-based post-processing technique to extract the distribution of tissue susceptibilities, demonstrating significant potential in studying neurological diseases. However, the ill-conditioned natu
Externí odkaz:
http://arxiv.org/abs/2406.12300
Autor:
Li, Shilong, Bai, Ge, Zhang, Zhang, Liu, Ying, Lu, Chenji, Guo, Daichi, Liu, Ruifang, Sun, Yong
Predicting unseen relations that cannot be observed during the training phase is a challenging task in relation extraction. Previous works have made progress by matching the semantics between input instances and label descriptions. However, fine-grai
Externí odkaz:
http://arxiv.org/abs/2406.11429
Autor:
Liu, Ying, Niu, Ranming, Uriach, Roger, Pesquera, David, Roque, Jose Manuel Caicedo, Santiso, Jose, Cairney, Julie M, Liao, Xiaozhou, Arbiol, Jordi, Catalan, Gustau
Whereas ferroelectricity may vanish in ultra-thin ferroelectric films, it is expected to emerge in ultra-thin anti-ferroelectric films, sparking people's interest in using antiferroelectric materials as an alternative to ferroelectric ones for high-d
Externí odkaz:
http://arxiv.org/abs/2406.07808
Autor:
Yang, Runyan, Yang, Huibao, Zhang, Xiqing, Ye, Tiantian, Liu, Ying, Gao, Yingying, Zhang, Shilei, Deng, Chao, Feng, Junlan
Recently, there have been attempts to integrate various speech processing tasks into a unified model. However, few previous works directly demonstrated that joint optimization of diverse tasks in multitask speech models has positive influence on the
Externí odkaz:
http://arxiv.org/abs/2406.07801
While nationality is a pivotal demographic element that enhances the performance of language models, it has received far less scrutiny regarding inherent biases. This study investigates nationality bias in ChatGPT (GPT-3.5), a large language model (L
Externí odkaz:
http://arxiv.org/abs/2405.06996
Sequential recommender systems explore users' preferences and behavioral patterns from their historically generated data. Recently, researchers aim to improve sequential recommendation by utilizing massive user-generated multi-modal content, such as
Externí odkaz:
http://arxiv.org/abs/2404.17238
Autor:
Liu, Yong, Kang, Mengtian, Gao, Shuo, Zhang, Chi, Liu, Ying, Li, Shiming, Qi, Yue, Nathan, Arokia, Xu, Wenjun, Tang, Chenyu, Occhipinti, Edoardo, Yusufu, Mayinuer, Wang, Ningli, Bai, Weiling, Occhipinti, Luigi
Fundus diseases are major causes of visual impairment and blindness worldwide, especially in underdeveloped regions, where the shortage of ophthalmologists hinders timely diagnosis. AI-assisted fundus image analysis has several advantages, such as hi
Externí odkaz:
http://arxiv.org/abs/2404.13388