Results 111 to 120 of about 5,879,357 (336)
When confronted with limited labelled samples, most studies adopt an unsupervised feature learning scheme and incorporate the extracted features into a traditional classifier (e.g., support vector machine, SVM) to deal with hyperspectral imagery ...
Cong Wang +3 more
doaj +1 more source
Nurr1 Orchestrates Claustrum Development and Functionality
Nurr1 (Nr4a2) is the master transcription factor to control claustrum morphogenesis and cell fate decision postmitotically by inhibiting intracellular G‐protein signaling. Nurr1 deficiency alters the transcriptomic profiles of subcortical claustral neurons into neocortical insular neurons, resulting in defected claustrum development, impaired axonal ...
Kuo Yan +12 more
wiley +1 more source
Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey
In decentralized systems, the quest for heightened security and integrity within blockchain networks becomes an issue. This survey investigates anomaly detection techniques in blockchain ecosystems through the lens of unsupervised learning, delving into ...
Christos Cholevas +4 more
doaj +1 more source
Immune Predictors of Radiotherapy Outcomes in Cervical Cancer
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang +8 more
wiley +1 more source
Semantic cell segmentation from microscopic images is essential for the quantitative evaluation of cell morphology. Although supervised deep-learning-based models offer accurate segmentation, their performance degrades for unknown cell types.
Shintaro Miyaki +5 more
doaj +1 more source
Guiding new physics searches with unsupervised learning [PDF]
Andrea De Simone, Thomas Jacques
openalex +1 more source
p16Ink4a‐Positive Hepatocytes Drive Liver Fibrosis Through Activation of LIFR Family Pathway
This study found that, following the long‐term CCl4 treatment, p16high hepatocytes appeared in zone 3, spatially co‐localizing with fibrotic areas. A specific cluster of p16high hepatocytes upregulated CTF1/LIF expression which induced HSC activation and further liver fibrosis, as revealed by single cell transcriptomic analysis.
Koji Nishikawa +23 more
wiley +1 more source
Neural Predictive Coding Using Convolutional Neural Networks Toward Unsupervised Learning of Speaker Characteristics [PDF]
Arindam Jati, Panayiotis Georgiou
openalex +1 more source
Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning [PDF]
Chenghao Fan, Ziao Li, Wei Wei
openalex +1 more source
This study integrated early‐stage patient specimens with publicly available datasets encompassing non‐malignant lung tissues and advanced‐stage LUAD through single‐cell sequencing, revealing a dynamically remodeled tumor microenvironment characterized by a hypoxia‐adapted malignant subset (C5), immunosuppressive LGMN+ macrophages, STAT1‐driven ...
Bomiao Qing +10 more
wiley +1 more source

