Results 231 to 240 of about 136,861 (303)

Functional Brain Asymmetry Reveals Heterogeneous Subtypes in Autism Spectrum Disorder

Autism Research, EarlyView.
ABSTRACT Heterogeneity is a critical factor in understanding inter‐individual brain and behavioral variability in autism spectrum disorder (ASD). Since individuals with ASD exhibit atypical communication and social interaction skills closely linked to brain lateralization, this study investigated ASD heterogeneity using an asymmetry index that captures
Chae Yeon Kim, Sunghun Kim, Bo‐yong Park   +2 more
wiley   +1 more source

Riemannian Manifolds for Biological Imaging Applications Based on Unsupervised Learning. [PDF]

J Imaging
Larin I, Karabelsky A.
europepmc   +1 more source

Tumor detection on bronchoscopic images by unsupervised learning. [PDF]

Sci Rep
Liu Q, Zheng H, Jia Z, Shi Z.
europepmc   +1 more source

Brain Health Deviation Index: A Comprehensive Brain Health Assessment Biomarker for Predicting Cognitive Decline and Polyvascular Stenosis

Brain Health, EarlyView.
ABSTRACT Assessing and quantifying brain health remains a pressing challenge, despite its importance for overall well‐being. Traditional methods that focus on isolated brain measures often fail to capture the multifaceted nature of brain health and may miss early signs of dysfunction.
Ziyang Liu, Shaodong Ding, Hao Liu, Jing Jing, Jian Cheng, Huaguang Zheng, Jiyang Jiang, Wei Wen, Zhe Zhang, Wanlin Zhu, Shiping Li, Yuesong Pan, Xueli Cai, Yijun Zhou, Chang Liu, Xia Meng, Yilong Wang, Hao Li, Yong Jiang, Haijun Niu, Nicole Kochan, Henry Brodaty, Tiemin Wei, Yubo Fan, Zixiao Li, Perminder S. Sachdev, Tao Liu, Yongjun Wang   +27 more
wiley   +1 more source

EmbedTAD Using Graph Embedding and Unsupervised Learning to Identify TADs from High-Resolution Hi-C Data. [PDF]

Commun Biol
Chowdhury HMAM, Oluwadare O.
europepmc   +1 more source

Spatial metrics in fire ecology: seeking consistency amidst complexity

Biological Reviews, EarlyView.
ABSTRACT Technological advances, including remote sensing, have led to a proliferation of metrics used in ecological studies to examine spatial patterns of fire regimes and their ecological effects. Researchers can use many different metrics to analyse spatial variation in both fire events and resulting fire regimes, including fire size, shape ...
Alexander R. Carey, Geoffrey J. Cary, Teigan Cremona, Hugh F. Davies, Brett P. Murphy, Sam C. Banks   +5 more
wiley   +1 more source

Acquisition of covert contrasts: an unsupervised learning approach

, 2014
Kirby, J.P.
core  

Unsupervised Learning-Derived Complex Metabolic Signatures Refine Cardiometabolic Risk. [PDF]

JACC Adv
Zhou Y, Xiang B, Yang X, Ren Y, Gu X, Zhou X.   +5 more
europepmc   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source

A data augmentation model integrating supervised and unsupervised learning for recommendation. [PDF]

Sci Rep
Chen J, Zhu Z, Li H, Jiang W, Jeon G, Qian Y.   +5 more
europepmc   +1 more source