Results 61 to 70 of about 21,136,484 (286)
Deep Learning Pose Estimation for Phenotyping of Co-Occurring Hyperkinetic Movement Disorders. [PDF]
Ann Clin Transl NeurolABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Cif L +17 more
europepmc +2 more sources
Molecular Oncology, EarlyView.Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Unsupervised multi-label text classification using a world knowledge ontology [PDF]
, 2012 The development of text classification techniques has been largely promoted in the past decade due to the increasing availability and widespread use of digital documents. Usually, the performance of text classification relies on the quality of categories
Hua Wang +8 more
core +2 more sources
Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering
IEEE Access, 2017 Multi-view feature learning aims at improving the performances of learning tasks, by fusing various kinds of features (views), such as heterogeneous features and/or homogeneous features.
Guo-Sen Xie +5 more
doaj +1 more source
Molecular Oncology, EarlyView.Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
Deep Multi-label Classification in Affine Subspaces [PDF]
, 2019 Multi-label classification (MLC) problems are becoming increasingly popular in the context of medical imaging. This has in part been driven by the fact that acquiring annotations for MLC is far less burdensome than for semantic segmentation and yet ...
Sznitman, Raphael +7 more
core +1 more source
Molecular Oncology, EarlyView.Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
A survey on canonical correlation analysis based multi-view learning
智能科学与技术学报, 2022 Multi-view learning (MVL) is a strategy for fusing data from different sources or subsets.Canonical correlation analysis (CCA) is very important in MVL, whose main idea is to maximize the correlation of different views.The traditional CCA can only ...
Chenfeng GUO, Dongrui WU
doaj
Remote Sensing, 2020 Traditional classification methods used for very high-resolution (VHR) remote sensing images require a large number of labeled samples to obtain higher classification accuracy. Labeled samples are difficult to obtain and costly.
Cheng Shi +4 more
doaj +1 more source
Weighted Ensemble Classification of Multi-label Data Streams
, 2017 Many real world applications involve classification of multilabel data streams. However, most existing classification models mostly focused on classifying single-label data streams.
Hong Shen +8 more
core +1 more source