Results 111 to 120 of about 5,782,720 (331)
During the last decades, Caspian forests have been attacked by human interference. Easy access, abundance and diversity of valuable forest products have led to the increase in population density, the creation of new residential areas and the activity of ...
Mohammadreza Tabesh +4 more
doaj +1 more source
Self-labeling techniques for semi-supervised time series classification: an empirical study [PDF]
An increasing amount of unlabeled time series data available render the semi-supervised paradigm a suitable approach to tackle classification problems with a reduced quantity of labeled data.
Triguero, Isaac +4 more
core +1 more source
Decoupled self-supervised label augmentation for fully-supervised image classification
Self-supervised label augmentation has emerged as an effective means to overcome the data scarcity problem for supervised vision tasks. Existing rotation-based self-supervised label augmentation methods either impose or relax the rotation invariance ...
Xia, Qihui +9 more
core +1 more source
Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba +5 more
wiley +1 more source
Local Feature Discriminant Projection [PDF]
In this paper, we propose a novel subspace learning algorithm called Local Feature Discriminant Projection (LFDP) for supervised dimensionality reduction of local features.
Zhen, Xiantong +3 more
core +1 more source
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David +12 more
wiley +1 more source
Hesitant Neural Gas for Supervised and Semi-supervised Classification [PDF]
Neural Gas is a neural network algorithm for vector quantization. It has not arbitrary established network topology, instead its topology is changing dynamically during training process. Originally, the Neural Gas is an unsupervised algorithm. However, there are several extensions that enables Neural Gas to use the information about sample’s class ...
Piotr Plonski, Krzysztof Zaremba
openaire +2 more sources
Self-supervised transfer learning for few-shot classification on marine plankton images
The classification of marine plankton images is of great significance in ecological studies and environmental monitoring. In practical applications, plankton image classification faces several challenges, including sample imbalance, distinguishing ...
Xuxiang Zhong +3 more
doaj +1 more source
Reprogramming tumor cells with LCOR mRNA nanotherapy to enhance immunotherapy
LCOR (Ligand‐dependent corepressor) mRNA encapsulated in polymeric nanoparticles restores LCOR activity in tumor cells, constraining aggressive tumor cell states and increasing tumor immunogenicity. This reprogramming makes tumor cells more vulnerable to T‐cell attack and enhances their response to immune‐checkpoint immunotherapy.
Gabriel Serra‐Mir +9 more
wiley +1 more source
Supervised hyperspectral image classification with rejection
Hyperspectral image classification is a challenging problem as obtaining complete and representative training sets is costly, pixels can belong to unknown classes, and it is generally an ill-posed problem. The need to achieve high classification accuracy may surpass the need to classify the entire image.
Filipe Condessa +2 more
openaire +3 more sources

