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Co-learning synaptic delays, weights and adaptation in spiking neural networks
Spiking neural networks (SNN) distinguish themselves from artificial neural networks (ANN) because of their inherent temporal processing and spike-based computations, enabling a power-efficient implementation in neuromorphic hardware.
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text
We present a semantically interpretable system for automated ICD coding of clinical text documents.
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