Results 71 to 80 of about 53,359 (288)
Local feature weighting in nearest prototype classification [PDF]
, 2008 The distance metric is the corner stone of nearest neighbor (NN)-based methods, and therefore, of nearest prototype (NP) algorithms. That is because they classify depending on the similarity of the data.
Isasi, Pedro +2 more
core +1 more source
Advanced Healthcare Materials, EarlyView.We measure the cell‐specific responses of administering infusible ECM (iECM) in acute myocardial infarction (MI) across multiple timepoints. Using single‐nucleus RNA sequencing and spatial transcriptomics, we measure macrophage activation, fibroblast remodeling, increased vascular development, lymphangiogenesis, cardioprotection, and neurogenesis ...
Joshua M. Mesfin +18 more
wiley +1 more source
Complex & Intelligent SystemsUnsupervised feature selection (UFS) methods play a crucial role in improving the efficiency of extracting relevant information and reducing computational complexity in the context of big data analysis.
Xiangguang Dai +6 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.Human periosteum‐derived cell spheroids bioprinted at high density within a hyaluronic acid matrix promote fusion and hypertrophic cartilage formation in vitro. Early encapsulation enhances spheroid interaction and matrix maturation, generating scalable cartilage templates intended for endochondral bone regeneration.
Ane Albillos Sanchez +6 more
wiley +1 more source
Alexandria Engineering JournalIn high-dimensional data analysis, unsupervised feature selection plays a crucial role in enhancing model interpretability and reducing computational cost. While Principal Component Analysis (PCA) and Multi-Criteria Decision-Making (MCDM) methods such as
Mohsen Habibollahi +5 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.An AuNPs/fMWCNT nanocomposite‐modified screen‐printed carbon electrode was engineered via sequential electrodeposition and integrated into a 3D‐printed microfluidic platform for ultrasensitive methylglyoxal detection. The non‐invasive sensing platform enables rapid analysis in saliva and sweat, highlighting strong potential for wearable point‐of‐care ...
Ahadul Amin Soshi +3 more
wiley +1 more source
Unsupervised Feature Subset Selection
, 2003 This master thesis has been developed in the domain of Decision Support Systems and it covers the sparsely researched area of unsupervised feature subset selection for data clustering.
Thomsen, Casper +1 more
core +1 more source
Unsupervised graph-based feature selection via subspace and pagerank centrality [PDF]
, 2018 Feature selection has become an indispensable part of intelligent systems, especially with the proliferation of high dimensional data. It identifies the subset of discriminative features leading to better learning performances, i.e., higher learning ...
Gouin-Vallerand, Charles +2 more
core +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
UDSFS: Unsupervised deep sparse feature selection
, 2016 In this paper, we focus on unsupervised feature selection. As we have known, the combination of several feature units into a whole feature vector is broadly adopted for effective object representation, which may inevitably includes some irrelevant ...
Fan BJ(范保杰) +4 more
core