Results 221 to 230 of about 389,599 (264)

Prediction of Alzheimer's Disease Based on Multi-Modal Domain Adaptation. [PDF]

Brain Sci
Fu B, Shen C, Liao S, Wu F, Liao B.
europepmc   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

ADAM-Net: Anatomy-Guided Attentive Unsupervised Domain Adaptation for Joint MG Segmentation and MGD Grading. [PDF]

J Imaging
Fang J, He X, Jiang Y, Wang MH.
europepmc   +1 more source

Application of hierarchical self-supervised contrastive learning in domain adaptation matching of multimodal remote sensing image. [PDF]

Sci Rep
Li Y, Luo Z, Zhu G, Chen T, Zhao H, Zhong C, Jin D, Dang Y, Yang F, Li X.   +9 more
europepmc   +1 more source

Practical Test-Time Domain Adaptation for Industrial Condition Monitoring by Leveraging Normal-Class Data. [PDF]

Sensors (Basel)
Goodarzi P, Schütze A.
europepmc   +1 more source

Optimized loss and self attention for enhanced domain adaptation in remote sensing image classification. [PDF]

Sci Rep
Kumar P, Mathew J, Sanodiya RK.
europepmc   +1 more source

DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction. [PDF]

PLoS Comput Biol
Yan F, Du Z, Huang YA.
europepmc   +1 more source

Sim-to-Real Domain Adaptation for Early Alzheimer's Detection from Handwriting Kinematics Using Hybrid Deep Learning. [PDF]

Sensors (Basel)
Bazarbekov I, Almisreb A, Ipalakova M, Bazarbekova M, Daineko Y.   +4 more
europepmc   +1 more source

Bridging domain gaps in agricultural 3D point cloud classification using adversarial domain adaptation. [PDF]

Sci Rep
Fatima Z, Zardari S, Tanveer MH.
europepmc   +1 more source

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Domain Neural Adaptation

IEEE Transactions on Neural Networks and Learning Systems, 2023
Domain adaptation is concerned with the problem of generalizing a classification model to a target domain with little or no labeled data, by leveraging the abundant labeled data from a related source domain. The source and target domains possess different joint probability distributions, making it challenging for model generalization.
Sentao Chen, Zijie Hong, Mehrtash Harandi, Xiaowei Yang 0003   +3 more
openaire   +3 more sources