Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Xiangrui Li"'
Publikováno v:
AAAI
Deep convolutional neural networks (CNNs) trained with logistic and softmax losses have made significant advancement in visual recognition tasks in computer vision. When training data exhibit class imbalances, the class-wise reweighted version of log
Autor:
Zhong-Lin Lu, Giwon Bahg, Xiangrui Li, Jay I. Myung, Mark A. Pitt, Brandon M. Turner, Per B. Sederberg
Publikováno v:
Computational Brain & Behavior. 3:400-429
Efficient data collection is an important goal in cognitive neuroimaging studies because of the high cost of data acquisition. One method of improving efficiency is to maximize the informativeness of the data collected on each trial. We propose an Ad
Publikováno v:
ACPR
Low-rank or sparse tensor recovery finds many applications in computer vision and machine learning. The recently proposed regularized multilinear regression and selection (Remurs) model assumes the true tensor to be simultaneously low-Tucker-rank and
Autor:
Dongxiao Zhu, Sushane Gupta, Peter S. Pang, Morgan B White, P. Medado, Sarah Henry, Phillip D. Levy, Xiangrui Li, Sarah Meram, Nicholas E Harrison
BackgroundNon-invasive finger-cuff monitors measuring cardiac index and vascular tone (SVRI) classify emergency department (ED) patients with acute heart failure (AHF) into three otherwise-indistinguishable subgroups. Our goals were to validate these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13f1b947f6f6d19ed6cbf991e6a9c6dd
https://doi.org/10.1101/2021.11.18.21266430
https://doi.org/10.1101/2021.11.18.21266430
Publikováno v:
Applied optics. 60(27)
A photonic instantaneous frequency measurement receiver based on frequency to optical power mapping is proposed and experimentally demonstrated. One channel of a dense wavelength-division multiplexer (DWDM) is used as an optical filter to establish a
Publikováno v:
Multimedia Tools and Applications. 79:35503-35518
Robust road segmentation is a key challenge in self-driving research. Though many image based methods have been studied and high performances in dataset evaluations have been reported, developing robust and reliable road segmentation is still a major
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 18, Iss S4, Pp 45-53 (2018)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Accurate predictive modeling in clinical research enables effective early intervention that patients are most likely to benefit from. However, due to the complex biological nature of disease progression, capturing the highly non-linear inf
Autor:
Rui-Si Hu, Qin-Li Liang, Xiangrui Li, Xing-Quan Zhu, Xiaokai Song, Ruofeng Yan, Muhammad Ehsan, Jun-Ling Hou
Publikováno v:
Vaccines, Vol 8, Iss 555, p 555 (2020)
The gastrointestinal nematode parasite Haemonchus contortus (H. contortus) is a resident of tropical and subtropical regions worldwide that imposes significant production losses, economic losses, and animal health issues in the small ruminant industr
Publikováno v:
ISBI
Understanding human fetal neurodevelopment is of great clinical importance as abnormal development is linked to adverse neuropsychiatric outcomes after birth. Recent advances in functional Magnetic Resonance Imaging (fMRI) have provided new insight i
Publikováno v:
IEEE Photonics Technology Letters. 30:1297-1300
We propose a photonic pre-distortion technique to perform self-interference cancellation for radio-frequency signals. The intensity-modulation direct-detection system is modified by adding a Mach-Zehnder modulator and an optical delay line. With a pr