Multi-Variable Transformer-Based Meta-Learning for Few-Shot Fault Diagnosis of Large-Scale Systems. [PDF]
Sensors (Basel)Li W, Nie Y, Yang F.
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Pushing the boundaries of few-shot learning for low-data drug discovery with a Bayesian meta-learning hypernetwork framework. [PDF]
Brief BioinformYi J +6 more
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Reassessing deep learning (and meta-learning) computer vision as an efficient method to determine taphonomic agency in bone surface modifications. [PDF]
Biol Methods ProtocDomínguez-Rodrigo M +3 more
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A meta-learning framework to mitigate negative transfer in transfer learning applicable to drug design. [PDF]
Sci RepMera A, Vogt M, Bajorath J.
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Few-shot drug synergy prediction via rapid cross-tier adaptation meta-optimization. [PDF]
Brief BioinformFeng YH +4 more
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MACML: Marrying attention and convolution-based meta-learning method for few-shot IoT intrusion detection. [PDF]
PLoS OneXu C, Yang J, Li P.
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Structure-enhanced graph meta learning for few-shot gene regulatory network inference. [PDF]
Genome BiolYu W, Chen Z, Hu Y, Qin J, Ou-Yang L.
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Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization. [PDF]
Sci RepChen C, Gong Z.
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Few-shot learning for non-vitrified ice segmentation. [PDF]
Sci RepVivas-Lago A, Castaño-Díez D.
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FedMedSecure: federated few-shot learning with cross-attention mechanisms and explainable AI for collaborative healthcare cybersecurity. [PDF]
Sci RepTawfik M +4 more
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