Results 81 to 90 of about 389,599 (264)

Privacy-Preserving Unsupervised Domain Adaptation in Federated Setting

IEEE Access, 2020
The training of deep neural networks relies on massive high-quality labeled data which is expensive in practice. To tackle this problem, domain adaptation is proposed to transfer knowledge from label-rich source domain to unlabeled target domain to learn
Lei Song, Chunguang Ma, Guoyin Zhang, Yun Zhang   +3 more
doaj   +1 more source

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

FEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt, Ana‐Maria Sandru, Georg Vucak, Sebastian Didusch, Biljana Riemelmoser, Karin Ehrenreiter, Markus Hartl, Lukas A. Huber, Manuela Baccarini   +8 more
wiley   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

FEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Spatial–Temporal Temperature Forecasting Using Deep-Neural-Network-Based Domain Adaptation

Atmosphere
Accurate temperature forecasting is critical for various sectors, yet traditional methods struggle with complex atmospheric dynamics. Deep neural networks (DNNs), especially transformer-based DNNs, offer potential advantages, but face challenges with ...
Vu Tran, François Septier, Daisuke Murakami, Tomoko Matsui   +3 more
doaj   +1 more source

TADA: Taxonomy Adaptive Domain Adaptation.

CoRR, 2021
Traditional domain adaptation addresses the task of adapting a model to a novel target domain under limited or no additional supervision. While tackling the input domain gap, the standard domain adaptation settings assume no domain change in the output space.
Gong, R., Danelljan, M., Dai, D., Wang, W., Paudel, D., Chhatkuli, A., Yu, F., Van Gool, L.   +7 more
openaire   +2 more sources

Epigenetic reprogramming of lineage switching in cancer

FEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı, Burcu Akman, Ezgi Bağırsakçı, Nese Atabey, Serap Erkek‐Ozhan   +4 more
wiley   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

FEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee, Mingming Tong, Anna L. Gloyn   +2 more
wiley   +1 more source

Domain Adaptation of Time Series Classification

IEEE Access
In the era of big data and the rapid development of sensor technology, the time series classification problem has become an important research direction in the field of data mining.
Xinli Wang, Rencheng Sun
doaj   +1 more source

Pseudo-Label-Driven Intra-class Domain Alignment: Cross-Domain Open Set Fault Diagnosis [PDF]

Jisuanji kexue yu tansuo
Currently, domain adaptation-based fault diagnosis methods have been widely applied, typically assuming that training and testing data share the same label space.
JIANG Dehong, LU Jiahui, LI Yan
doaj   +1 more source

Consistency Regularization for Domain Adaptation

, 2023
ECCV 2022 workshop ...
Kian Boon Koh, Basura Fernando
openaire   +4 more sources