Zobrazeno 1 - 10
of 408
pro vyhledávání: '"Wang Hanzhang"'
Publikováno v:
Open Medicine, Vol 16, Iss 1, Pp 816-825 (2021)
Emerging evidence has related inflammation-based biomarkers to numerous carcinomas, including bladder carcinoma (BC). However, the role of inflammatory biomarkers in the prognosis of BC remains inconclusive. This study aimed to compare preoperative p
Externí odkaz:
https://doaj.org/article/de88d257b8bf4a84b989ef94c9049d9e
Autor:
WANG HanZhang
Publikováno v:
Jixie qiangdu, Vol 41, Pp 814-820 (2019)
Aiming at the fact that the fault diagnosis performance of relevance vector machine（RVM） in motor bearing highly depends on the parameters selection, a motor bearing fault diagnosis method based on RVM optimized by fruit fly optimization algorith
Externí odkaz:
https://doaj.org/article/4686b47b88474ba5828a16ca03992106
Autor:
Wang, Hanzhang, Tangirala, Gowtham Kumar, Naidu, Gilkara Pranav, Mayville, Charles, Roy, Arighna, Sun, Joanne, Mandava, Ramesh Babu
We present a machine learning-based anomaly detection product, AI Detect and Respond (AIDR), that monitors Walmart's business and system health in real-time. During the validation over 3 months, the product served predictions from over 3000 models to
Externí odkaz:
http://arxiv.org/abs/2404.16887
Autor:
Yu, Zhongrui, Wang, Haoran, Yang, Jinze, Wang, Hanzhang, Xie, Zeke, Cai, Yunfeng, Cao, Jiale, Ji, Zhong, Sun, Mingming
Novel View Synthesis (NVS) for street scenes play a critical role in the autonomous driving simulation. The current mainstream technique to achieve it is neural rendering, such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS). Althou
Externí odkaz:
http://arxiv.org/abs/2403.20079
Autor:
Wang, Hanzhang, Wang, Haoran, Yang, Jinze, Yu, Zhongrui, Xie, Zeke, Tian, Lei, Xiao, Xinyan, Jiang, Junjun, Liu, Xianming, Sun, Mingming
The goal of Arbitrary Style Transfer (AST) is injecting the artistic features of a style reference into a given image/video. Existing methods usually focus on pursuing the balance between style and content, whereas ignoring the significant demand for
Externí odkaz:
http://arxiv.org/abs/2401.05870
Recent works have studied implicit biases in deep learning, especially the behavior of last-layer features and classifier weights. However, they usually need to simplify the intermediate dynamics under gradient flow or gradient descent due to the int
Externí odkaz:
http://arxiv.org/abs/2312.07841
Graph Neural Networks (GNNs) have been widely applied to different tasks such as bioinformatics, drug design, and social networks. However, recent studies have shown that GNNs are vulnerable to adversarial attacks which aim to mislead the node or sub
Externí odkaz:
http://arxiv.org/abs/2212.13607
Autor:
Behzadi, Mohammad Mahdi, Madani, Mohammad, Wang, Hanzhang, Bai, Jun, Bhardwaj, Ankit, Tarakanova, Anna, Yamase, Harold, Nam, Ga Hie, Nabavi, Sheida
Prostate cancer is the most common cancer in men worldwide and the second leading cause of cancer death in the United States. One of the prognostic features in prostate cancer is the Gleason grading of histopathology images. The Gleason grade is assi
Externí odkaz:
http://arxiv.org/abs/2212.12844
Publikováno v:
In Proceedings of the 2019 11th International Conference on Machine Learning and Computing (pp. 81-85) (2019, February)
Accurate prediction of users' responses to items is one of the main aims of many computational advising applications. Examples include recommending movies, news articles, songs, jobs, clothes, books and so forth. Accurate prediction of inactive users
Externí odkaz:
http://arxiv.org/abs/2212.08901
Autor:
Zhao, Ting, Denize, Thomas, Wang, Hanzhang, Fisch, Adam S., Wu, Shulin, Wu, Chin-Lee, Cornejo, Kristine M.
Publikováno v:
In Human Pathology November 2024 153