Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Dong, Xishuang"'
In contrast to pedagogies like evidence-based teaching, personalized adaptive learning (PAL) distinguishes itself by closely monitoring the progress of individual students and tailoring the learning path to their unique knowledge and requirements. A
Externí odkaz:
http://arxiv.org/abs/2405.05134
Fairness AI aims to detect and alleviate bias across the entire AI development life cycle, encompassing data curation, modeling, evaluation, and deployment-a pivotal aspect of ethical AI implementation. Addressing data bias, particularly concerning s
Externí odkaz:
http://arxiv.org/abs/2312.12560
The identification of key factors such as medications, diseases, and relationships within electronic health records and clinical notes has a wide range of applications in the clinical field. In the N2C2 2022 competitions, various tasks were presented
Externí odkaz:
http://arxiv.org/abs/2306.07297
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19). Imaging tests such as chest X-ray (CXR) and computed tomography (CT) can provide useful information to clinical staff for facilitating a diagnosi
Externí odkaz:
http://arxiv.org/abs/2206.00002
Autor:
Dong, Xishuang, Qian, Lijun
Social media has become an effective platform to generate and spread fake news that can mislead people and even distort public opinion. Centralized methods for fake news detection, however, cannot effectively protect user privacy during the process o
Externí odkaz:
http://arxiv.org/abs/2201.02048
In this paper, we studied the problem of localizing a generic set of keypoints across multiple quadruped or four-legged animal species from images. Due to the lack of large scale animal keypoint dataset with ground truth annotations, we developed a n
Externí odkaz:
http://arxiv.org/abs/2108.13958
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic in over 200 countries and territories, which has resulted in a great public health concern across the international community. Analysis of X-ray imaging data can play a critical role i
Externí odkaz:
http://arxiv.org/abs/2103.06140
In order to extract knowledge from the large data collected by edge devices, traditional cloud based approach that requires data upload may not be feasible due to communication bandwidth limitation as well as privacy and security concerns of end user
Externí odkaz:
http://arxiv.org/abs/2005.04563
Cell type identification from single-cell transcriptomic data is a common goal of single-cell RNA sequencing (scRNAseq) data analysis. Neural networks have been employed to identify cell types from scRNAseq data with high performance. However, it req
Externí odkaz:
http://arxiv.org/abs/2005.03994
Social media is a popular platform for timely information sharing. One of the important challenges for social media platforms like Twitter is whether to trust news shared on them when there is no systematic news verification process. On the other han
Externí odkaz:
http://arxiv.org/abs/2004.12500