Results 191 to 200 of about 1,099,722 (325)
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. [PDF]
IEEE EMBS Int Conf Biomed Health Inform, 2019 Peng B +5 more
europepmc +1 more source
Correcting for Selection Bias in Learning-to-rank Systems
, 2020 Zohreh Ovaisi +4 more
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
Sorting protein decoys by machine-learning-to-rank. [PDF]
Sci Rep, 2016 Jing X, Wang K, Lu R, Dong Q.
europepmc +1 more source
Symmetric low-rank preserving projections for subspace learning
, 2018 Jie Chen +3 more
openalex +2 more sources
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 +2 more
wiley +1 more source
MQAPRank: improved global protein model quality assessment by learning-to-rank. [PDF]
BMC Bioinformatics, 2017 Jing X, Dong Q.
europepmc +1 more source
Fixed-Rank Supervised Metric Learning on Riemannian Manifold
, 2016 Yadong Mu
openalex +2 more sources
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
MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank. [PDF]
J Biomed Semantics, 2017 Mao Y, Lu Z.
europepmc +1 more source