Results 111 to 120 of about 822,037 (305)
Siamese Dense Neural Network for Software Defect Prediction With Small Data
IEEE Access, 2019 Software defect prediction (SDP) exerts a major role in software development, concerning reducing software costs and ensuring software quality. However, developing an accurate SDP model is still a severe and challenging task with the lack of training ...
Linchang Zhao +4 more
doaj +1 more source
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
FEBS Open Bio, EarlyView.This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
Beyond <formula formulatype="inline"><tex Notation="TeX">${\chi^2}$</tex> </formula> Difference: Learning Optimal Metric for Boundary Detection [PDF]
, 2014 Fei He, Shengjin Wang
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin +12 more
wiley +1 more source
Metric Learning Combining With Boosting for User Distance Measure in Multiple Social Networks
IEEE Access, 2017 How to model user distance from multiple social networks is an important challenge. People often simultaneously appear in multiple social networks that can provide complementary services.
Yufei Liu, Dechang Pi, Lin Cui
doaj +1 more source
, 2018 Metric learning learns a metric function from training data to calculate the similarity or distance between samples. From the perspective of feature learning, metric learning essentially learns a new feature space by feature transformation (e.g ...
Gao, Yang +5 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Neuronal pentraxin 2 (NPTX2) is a synaptic protein involved in synaptic plasticity and regulation of neuronal excitability. Lower baseline cerebrospinal fluid (CSF) NPTX2 levels have been shown to be associated with an earlier onset of mild cognitive impairment (MCI), a pre‐dementia syndrome, even after CSF Alzheimer's Disease (AD)
Juan P. Vazquez +12 more
wiley +1 more source
Non-Convex Metric Learning-Based Trajectory Clustering Algorithm
MathematicsTo address the issue of suboptimal clustering performance arising from the limitations of distance measurement in traditional trajectory clustering methods, this paper presents a novel trajectory clustering strategy that integrates the bag-of-words model
Xiaoyan Lei, Hongyan Wang
doaj +1 more source
Multi-view Metric Learning in Vector-valued Kernel Spaces
, 2018 We consider the problem of metric learning for multi-view data and present a novel method for learning within-view as well as between-view metrics in vector-valued kernel spaces, as a way to capture multi-modal structure of the data.
Capponi, Cécile +2 more
core
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source