Results 181 to 190 of about 2,204,167 (303)

TCR representation learning with protein language models: a comprehensive review. [PDF]

Int Immunol
Kinoshita K, Kobayashi TJ.
europepmc   +1 more source

Sparse representation for Massive MIMO Satellite channel based on Joint Dictionary Learning [PDF]

Qingyang Guan
openalex   +1 more source

A Study on Hybrid Hierarchical Network Representation Learning

, 2021
HU Yong-xiang
openalex   +2 more sources

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

Deep-learning based representation and recognition for genome variants—from SNVs to structural variants

Songbo Wang, Kai Ye
openalex   +1 more source

Self-supervised Representation Learning for Cell Event Recognition through Time Arrow Prediction [PDF]

Cangxiong Chen, Vinay P. Namboodiri, Julia Sero   +2 more
openalex   +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

Self-supervised representation learning on gene expression data. [PDF]

Bioinformatics
Dradjat K, Hamidi M, Bartet P, Hanczar B.   +3 more
europepmc   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Prompt-based multimodal representation learning for drug repurposing. [PDF]

Brief Bioinform
Liu J, U K, Rana D, Meixuan Zhang S, Yu J, Yang S, Jin B, Wang X, Yang Z, Tang H, Zhao J.   +10 more
europepmc   +1 more source