Zobrazeno 1 - 10
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pro vyhledávání: '"HUANG, Ling"'
Multimodal survival analysis aims to combine heterogeneous data sources (e.g., clinical, imaging, text, genomics) to improve the prediction quality of survival outcomes. However, this task is particularly challenging due to high heterogeneity and noi
Externí odkaz:
http://arxiv.org/abs/2412.01215
Time-to-event analysis provides insights into clinical prognosis and treatment recommendations. However, this task is more challenging than standard regression problems due to the presence of censored observations. Additionally, the lack of confidenc
Externí odkaz:
http://arxiv.org/abs/2411.07853
Autor:
Lin, Qika, Zhu, Yifan, Mei, Xin, Huang, Ling, Ma, Jingying, He, Kai, Peng, Zhen, Cambria, Erik, Feng, Mengling
The rapid development of artificial intelligence has constantly reshaped the field of intelligent healthcare and medicine. As a vital technology, multimodal learning has increasingly garnered interest due to data complementarity, comprehensive modeli
Externí odkaz:
http://arxiv.org/abs/2408.12880
\noindent We are concerned with positive normalized solutions $(u,\lambda)\in H^1(\mathbb{R}^2)\times\mathbb{R}$ to the following semi-linear Schr\"{o}dinger equations $$ -\Delta u+\lambda u=f(u), \quad\text{in}~\mathbb{R}^2, $$ satisfying the mass c
Externí odkaz:
http://arxiv.org/abs/2407.10258
Visual tracking has advanced significantly in recent years, mainly due to the availability of large-scale training datasets. These datasets have enabled the development of numerous algorithms that can track objects with high accuracy and robustness.H
Externí odkaz:
http://arxiv.org/abs/2407.05235
Publikováno v:
BELIEF2024
We introduce an evidential model for time-to-event prediction with censored data. In this model, uncertainty on event time is quantified by Gaussian random fuzzy numbers, a newly introduced family of random fuzzy subsets of the real line with associa
Externí odkaz:
http://arxiv.org/abs/2406.13487
Publikováno v:
Industrial Management & Data Systems, 2024, Vol. 124, Issue 12, pp. 3274-3297.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IMDS-09-2023-0615
