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Found 3 papers, 1 papers with code
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially in drug-drug interactions (DDIs).
Application of attention-based Siamese composite neural network in medical image recognition
Aiming at the problem of few-shot samples, a Siamese neural network suitable for classification model is proposed.
Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks
The bound scales with the spectral complexity, the dominant factor of which is the spectral norm product of weight matrices.
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