Results 61 to 70 of about 389,599 (264)
A framework for self-supervised federated domain adaptation
EURASIP Journal on Wireless Communications and Networking, 2022 Unsupervised federated domain adaptation uses the knowledge from several distributed unlabelled source domains to complete the learning on the unlabelled target domain.
Bin Wang +5 more
doaj +1 more source
Wasserstein Uncertainty Estimation for Adversarial Domain Matching
Frontiers in Big Data, 2022 Domain adaptation aims at reducing the domain shift between a labeled source domain and an unlabeled target domain, so that the source model can be generalized to target domains without fine tuning.
Rui Wang, Ruiyi Zhang, Ricardo Henao
doaj +1 more source
Partial Domain Adaptation Without Domain Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 10 pages.
Weikai Li 0003, Songcan Chen
openaire +4 more sources
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
DC-LoRA: Domain correlation low-rank adaptation for domain incremental learning
High-Confidence ComputingContinual learning, characterized by the sequential acquisition of multiple tasks, has emerged as a prominent challenge in deep learning. During the process of continual learning, deep neural networks experience a phenomenon known as catastrophic ...
Lin Li +4 more
doaj +1 more source
Distribution matching and structure preservation for domain adaptation
Complex & Intelligent Systems, 2022 Cross-domain classification refers to completing the corresponding classification task in a target domain which lacks label information, by exploring useful knowledge in a related source domain but with different data distribution.
Ping Li, Zhiwei Ni, Xuhui Zhu, Juan Song
doaj +1 more source
Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Domain adaptation has proven to be suitable for alleviating domain discrepancies, which hinder the generalization capacity of classifiers. Among a few alternatives, domain adaptation techniques that align features in a domain-agnostic space through ...
Pedro Juan Soto Vega +4 more
doaj +1 more source
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Domain Adaptation with Incomplete Target Domains
CoRR, 2020 Domain adaptation, as a task of reducing the annotation cost in a target domain by exploiting the existing labeled data in an auxiliary source domain, has received a lot of attention in the research community. However, the standard domain adaptation has assumed perfectly observed data in both domains, while in real world applications the existence of ...
Zhenpeng Li +5 more
openaire +3 more sources
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source