NeuRank: learning to rank with neural networks for drug-target interaction prediction. [PDF]
Wu X, Zeng W, Lin F, Zhou X.
europepmc +1 more source
Learning to rank videos personally using multiple clues [PDF]
Songhua Xu, Hao Jiang, Francis C. M. Lau
openalex +1 more source
ABSTRACT Objective Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age‐ and BMI‐adjusted) with absolute concentrations for the prediction of response to disease‐modifying therapy.
Maximilian Einsiedler+43 more
wiley +1 more source
Large scale image annotation: learning to rank with joint word-image embeddings [PDF]
Jason Weston+2 more
openalex +1 more source
How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution
Wisely utilizing the internal and external learning methods is a new challenge in super-resolution problem. To address this issue, we analyze the attributes of two methodologies and find two observations of their recovered details: 1) they are ...
Ji, Peiyuan+4 more
core
Learning incoherent sparse and low-rank patterns from multiple tasks [PDF]
Jianhui Chen, Ji Liu, Jieping Ye
openalex +1 more source
Cytokine, Chemokine, and Neurofilament Light Chain Signatures in LGI1 Autoimmune Encephalitis
ABSTRACT Objectives To investigate the value of cytokine, chemokine, and neurofilament light chain (NfL) concentrations in predicting relapse risk, chronic epilepsy, and functional impairment in LGI1 autoimmune encephalitis (AE). Methods Cytokines/chemokines (IL‐1‐beta, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8/CXCL8, IL‐10, IL‐12p70, IL‐13, IL‐17A, GM‐CSF, TNF ...
Albert Aboseif+17 more
wiley +1 more source
Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process. [PDF]
Miyachi Y, Ishii O, Torigoe K.
europepmc +1 more source
Limited Rank Matrix Learning, discriminative dimension reduction and visualization [PDF]
Kerstin Bunte+5 more
openalex +1 more source
ABSTRACT Background Stroke is a leading cause of long‐term disability in adults, with upper limb hemiparesis being a common impairment. Traditional training is mostly aimed at paralyzed limbs, but the effect of bilateral training is still unclear.
Fangfang Qian+7 more
wiley +1 more source