Reassessing deep learning (and meta-learning) computer vision as an efficient method to determine taphonomic agency in bone surface modifications. [PDF]
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The role of Notch signalling and its crosstalk with oestrogen receptor signalling in breast cancer. [PDF]
Azadova A, Isayev O, Marco A, Brooke GN.
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MACML: Marrying attention and convolution-based meta-learning method for few-shot IoT intrusion detection. [PDF]
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A meta-learning framework to mitigate negative transfer in transfer learning applicable to drug design. [PDF]
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Few-shot drug synergy prediction via rapid cross-tier adaptation meta-optimization. [PDF]
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Machine learning assisted malaria detection using photonic crystal fibre optical sensors. [PDF]
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A convenient method for the accurate identification of Citri Reticulatae Pericarpium using image and multi-stream. [PDF]
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Structure-enhanced graph meta learning for few-shot gene regulatory network inference. [PDF]
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Automated Trading Experiments with Maml
2002MAML (Multi-Agent Modeling Language) is a macro-language for Swarm. Its aim is to ease the creation of the most common set of agent-based models by providing a couple of high level constructs and structures in the form of specialized keywords. In this paper we introduce the concepts of MAML through an extension of Chris Preist’s auction model on ...
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Improving the Generalization of MAML in Few-Shot Classification via Bi-Level Constraint
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