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pro vyhledávání: '"HAO Chao"'
The vision-language modeling capability of multi-modal large language models has attracted wide attention from the community. However, in medical domain, radiology report generation using vision-language models still faces significant challenges due
Externí odkaz:
http://arxiv.org/abs/2408.12141
The action anticipation task refers to predicting what action will happen based on observed videos, which requires the model to have a strong ability to summarize the present and then reason about the future. Experience and common sense suggest that
Externí odkaz:
http://arxiv.org/abs/2408.02769
Camouflaged object detection (COD) and salient object detection (SOD) are two distinct yet closely-related computer vision tasks widely studied during the past decades. Though sharing the same purpose of segmenting an image into binary foreground and
Externí odkaz:
http://arxiv.org/abs/2402.18922
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on global health and economies, resulting in millions of infections and deaths. This retrospective cohort study aimed to investigate the effect of antif
Externí odkaz:
https://doaj.org/article/569af4dba306417b9769afbe60868144
The Five-hundred-meter Aperture Spherical radio Telescope (FAST) is the most sensitive ground-based, single-dish radio telescope on Earth. However, the original HI spectra produced by FAST are affected by standing waves. To maximize the power of FAST
Externí odkaz:
http://arxiv.org/abs/2206.14544
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Accurate alignment of transcribed RNA to reference genomes is a critical step in the analysis of gene expression, which in turn has broad applications in biomedical research and in the basic sciences. We reveal that widely used splice-aware
Externí odkaz:
https://doaj.org/article/b8e5aab6833249a59acd5741ac2c1baa
Autor:
Ales Varabyou, Markus J. Sommer, Beril Erdogdu, Ida Shinder, Ilia Minkin, Kuan-Hao Chao, Sukhwan Park, Jakob Heinz, Christopher Pockrandt, Alaina Shumate, Natalia Rincon, Daniela Puiu, Martin Steinegger, Steven L. Salzberg, Mihaela Pertea
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-16 (2023)
Abstract CHESS 3 represents an improved human gene catalog based on nearly 10,000 RNA-seq experiments across 54 body sites. It significantly improves current genome annotation by integrating the latest reference data and algorithms, machine learning
Externí odkaz:
https://doaj.org/article/20e94c3931d244779a6859df07d6e08f
Publikováno v:
Land, Vol 13, Iss 7, p 1025 (2024)
Amid rapid urbanization, shantytown redevelopment profoundly transforms urban environments and catalyzes substantial changes in social, economic, and family structures. Yet, most previous studies have focused narrowly on the outcomes of single reside
Externí odkaz:
https://doaj.org/article/e9eb8de30abd4d0f8425bea81eb16e49
Using prompts to utilize language models to perform various downstream tasks, also known as prompt-based learning or prompt-learning, has lately gained significant success in comparison to the pre-train and fine-tune paradigm. Nonetheless, virtually
Externí odkaz:
http://arxiv.org/abs/2109.03564
Autor:
Yu, Yun-Jiang, Tian, Jing-Lin, Zheng, Tong, Kuang, Hong-Xuan, Li, Zong-Rui, Hao, Chao-Jie, Xiang, Ming-Deng, Li, Zhen-Chi
Publikováno v:
In Journal of Hazardous Materials 5 March 2024 465