Results 121 to 130 of about 726,041 (339)
Nonparametric sparsity and regularization
45 pages, 11 ...
ROSASCO, LORENZO +4 more
openaire +3 more sources
Objective This study aimed to characterize the pharmacokinetics, pharmacodynamics, safety, and exploratory efficacy of subcutaneous belimumab in pediatric patients with active systemic lupus erythematosus (SLE) receiving standard therapy. Methods This single‐arm, multicenter, open‐label trial (GSK study 200908; NCT04179032) used three‐weight‐band ...
Hermine I. Brunner +14 more
wiley +1 more source
Robust multi‐feature visual tracking via multi‐task kernel‐based sparse learning [PDF]
Bin Kang, Wei‐Ping Zhu, Dong Liang
openalex +1 more source
Faster exact solution of sparse MaxCut and QUBO problems [PDF]
Daniel Rehfeldt +2 more
openalex +1 more source
Objective We aimed to validate the Pediatric Arthritis Ultrasound Scoring System (PAUSS) for upper extremity joints in children with juvenile idiopathic arthritis (JIA). Methods Children with JIA were evaluated for elbow, wrist, or finger arthritis by clinical examination (CE) and musculoskeletal ultrasound (MSUS) with images scored according to the ...
Patricia Vega‐Fernandez +12 more
wiley +1 more source
In recent years, the study of recommendation systems has become crucial, capturing the interest of scientists and academics worldwide. Music, books, movies, news, conferences, courses, and learning materials are some examples of using the recommender ...
Lamyae El Youbi El Idrissi +3 more
doaj +1 more source
A Confidence Machine for Sparse High-Order Interaction Model [PDF]
Diptesh Das +2 more
openalex +1 more source
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 +16 more
wiley +1 more source
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

