Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data [PDF]
, 2023 Pramit Saha +2 more
openalex +1 more source
Function‐driven design of a surrogate interleukin‐2 receptor ligand
FEBS Letters, EarlyView.Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang +9 more
wiley +1 more source
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Self-Supervised Learning for Vehicle Noise Prediction With Limited Labeled Data
IEEE AccessWith advancements in artificial intelligence, its application for developing quieter vehicles is increasingly researched in the automotive industry.
Sunhyeok Hwang, Seoung Bum Kim
doaj +1 more source
Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data
, 2017 The development of audio event recognition models requires labeled training data, which are generally hard to obtain. One promising source of recordings of audio events is the large amount of multimedia data on the web.
Kumar, Anurag, Raj, Bhiksha
core
Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions
FEBS Letters, EarlyView.Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf +6 more
wiley +1 more source
Classification of Few Labeled Images Based on Integrated GMM Clustering
Xibei Gongye Daxue Xuebao, 2019 In order to improve the classifier classification accuracy of by using convolutional neural network training, a large amount of labeled data is often required, but sometimes labeled data is not easily obtained.This paper proposes a solution based on the ...
doaj +1 more source
Eculizumab monotherapy for NMOSD: Data from PREVENT and its open-label extension [PDF]
, 2021 Sean J. Pittock +13 more
openalex +1 more source
The newfound relationship between extrachromosomal DNAs and excised signal circles
FEBS Letters, EarlyView.Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
Fine-grained fashion classification with limited labeled data via generative augmentation
Intelligent and Converged NetworksFine-grained classification of fashion items is essential for enhancing user experiences in online shopping, enabling more effective categorization and personalized recommendations. While recent advances in Artificial Intelligence (AI) have shown promise,
Hongbi Jeong +4 more
doaj +1 more source