Results 171 to 180 of about 510,572 (297)

AI-generated artwork detection using self-distilled transformers with global-local feature learning and Grad-CAM interpretability. [PDF]

Sci Rep
Yinghua W, Linyan L, Wenjuan M, Yunzhe Z.   +3 more
europepmc   +1 more source

Spectral Geometry of Feature Learning: Unifying Generalization in PAC and Deep Models

Revista, Zen, MATH, 10
openalex   +1 more source

Evaluation of a novel EHR sidecar application to display RA clinical outcomes during clinic visits: results of a stepped‐wedge cluster randomized pragmatic trial

Arthritis Care &Research, Accepted Article.
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk, Jing Li, Cathy Nasrallah, Cherish Wilson, Alicia Hamblin, Christine Hariz, Cammie Young, Stephen Shiboski, Emma Kersey, Mary Nakamura, Judith F. Ashouri, Mehrdad Matloubian, Andrew J. Gross, Jennifer Barton, Beth Berrean, Jonathan Prugh, Jinoos Yazdany   +16 more
wiley   +1 more source

Spatiotemporal Feature Learning for Daily-Life Cough Detection Using FMCW Radar. [PDF]

Bioengineering (Basel)
Lu S, Liu Y, He G, Bai Z, Li Z, Wu P, Chen X, Du L, Wang P, Fang Z.   +9 more
europepmc   +1 more source

Normalization and Standardization in Deep Learning: An Empirical Benchmarking Towards Optimal Feature Scaling Strategies

Revista, Zen, IA, 10
openalex   +1 more source

Selective Multi-Scale Feature Learning by Discriminative Local Representation [PDF]

, 2019
Chengji Xu, Xiaofeng Wang, Yadong Yang
openalex   +1 more source

Retractions in rheumatology: trends, causes, and implications for research integrity

Arthritis Care &Research, Accepted Article.
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley   +1 more source

CrossAlignNet: a self-supervised feature learning framework for 3D point cloud understanding. [PDF]

PeerJ Comput Sci
Wang F, Dong X, Wu J, Zhang W, Zhou T.
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Assistive communication system using deep sparse autoencoder with feature learning to assist people with hearing disabilities. [PDF]

Sci Rep
Maashi M, Aljohani N, Alsahafi YA, Rizwanullah M.   +3 more
europepmc   +1 more source