Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Xian, Xiaochen"'
Sequential change point detection for multivariate autocorrelated data is a very common problem in practice. However, when the sensing resources are limited, only a subset of variables from the multivariate system can be observed at each sensing time
Externí odkaz:
http://arxiv.org/abs/2404.00220
The Internet of Federated Things (IoFT) represents a network of interconnected systems with federated learning as the backbone, facilitating collaborative knowledge acquisition while ensuring data privacy for individual systems. The wide adoption of
Externí odkaz:
http://arxiv.org/abs/2310.01537
Publikováno v:
Engineering Applications of Artificial Intelligence, 119, 105741 (2023)
Resource-constrained classification tasks are common in real-world applications such as allocating tests for disease diagnosis, hiring decisions when filling a limited number of positions, and defect detection in manufacturing settings under a limite
Externí odkaz:
http://arxiv.org/abs/2207.09196
Autor:
Jiao, Meng, Xian, Xiaochen, Wang, Boyu, Zhang, Yu, Yang, Shihao, Chen, Spencer, Sun, Hai, Liu, Feng
Publikováno v:
In NeuroImage 1 October 2024 299
Publikováno v:
In Information Sciences August 2024 676
Publikováno v:
In Engineering Applications of Artificial Intelligence March 2023 119
Publikováno v:
Technometrics. Dec2024, p1-25. 25p. 13 Illustrations, 4 Charts.
Publikováno v:
IISE Transactions; Dec2024, Vol. 56 Issue 12, p1279-1293, 15p
Publikováno v:
Technometrics; Nov2024, Vol. 66 Issue 4, p600-613, 14p
Autor:
Hanson, Andrew D., McCarty, Donald R., Henry, Christopher S., Xian, Xiaochen, Joshi, Jaya, Patterson, Jenelle A., García-García, Jorge D., Fleischmann, Scott D., Tivendale, Nathan D., Millar, A. Harvey
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Mar . 118(13), 1-9.
Externí odkaz:
https://www.jstor.org/stable/27039822