ADMGCN: graph convolutional network for Alzheimer's disease diagnosis with a meta-learning paradigm. [PDF]
Sun X, Li J, Yan G, Han R.
europepmc +1 more source
A meta learning framework for few shot personalized gait cycle generation and reconstruction. [PDF]
Yadav RK, Nandi A, Sharma DAK, Garg PL.
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Design of an integrated evidence-driven few-shot meta-learning for zero-day malware detection and forensic attributions. [PDF]
Beg R +6 more
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EEG-TriNet++: A Transformer-Guided Meta-Learning Framework for Robust and Generalizable Motor Imagery Classification. [PDF]
Tibermacine A +5 more
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A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting. [PDF]
Qiu Q, Huang Y, Huang X, Zhou W.
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Correction: A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas. [PDF]
Chen Y +14 more
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Exploring Chemoinformatics Aspects of Few-Shot Meta-Learning by Example of an Infinite Dilution Activity Coefficient in Ionic Liquid Prediction. [PDF]
Baran K, Kloskowski A.
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Adaptive multimodal learning for driver cognitive state monitoring using transformer-based fusion with personalized meta-learning and federated optimization. [PDF]
Abinaya G, Dinakaran K.
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Few-shot cross-domain fault diagnosis via adversarial meta-learning. [PDF]
Guo Y, Dai J, Zhang J.
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Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products. [PDF]
Butt CM, Walker AS.
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