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• Graph neural networks for epileptic seizure detection
  ..., 7, 8] using iEEG signals to detect two distinct states of brain activity in patients with epilepsy, i.e., interictal (= between seizures) and ictal (= ...with convolutional networks (GCNs), achieving state-of-the-art performance in public datasets [13].[14] proposed a temporal GCN to tackle the task of sei
  10 KB (1,306 words) - 19:58, 10 March 2024
• Resource-Constrained Few-Shot Learning for Keyword Spotting (1S)
  ...eviate the limited access to data, yet its scope can feasibly be extended. In the current work, our goal is to obtain a few-shot learning pipeline target ...ent rates are low and data sets at each single institution are too small". In this occasions, one possible solution is few-shot learning.
  12 KB (1,869 words) - 17:37, 1 September 2023

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