… Based on the attention mechanism and the convolutional neural network, an epilepsy automatic
detection and … Epileptic seizures detection using deep learning techniques: A review[ J]. …

… recognition research based on deep learning and transfer learning. … Detection of
epileptic electroencephalogram based on … with capsule network and attention mechanism[J].Computers …

… Secondly, this paper uses the multihead self-attention mechanism to … -view deep learning
method for epileptic seizure detection … for automated detection of epileptic seizures using SVM …

… (recurrent neural networks) model based on attention mechanism is … A novel machine
learning model for the detection … epilepsy and epileptic seizures using electroencephalographic …

… The deep learning-based automatic detection of epilepsy … attention, and its effectiveness
mainly depends on the deep … information flow caused by seizures to enhance the difference …

… of Groundness identification. With the continuous development of deep learning, its advantages
… , CBAM ( Convolutional Block Attention Module ) attention mechanism and CA attention …

… can greatly accelerate the drug discovery process 7. To be … necessary to use graph based
deep learning methods in this … -attention mechanism, which may improve model accuracy. …

… application of deep learning algorithm in epilepsy detection. … under frequency-domain
attention mechanism[J].Journal of Xi… deep learning network for the prediction of epileptic seizures …

… in the current machine learning based models and guiding future research directions. …
definition of diagnosis codes, which additionally applies a per-label attention mechanism, where …

… staging method based on the channel attention mechanism and … recalibrated using the
channel attention mechanism to obtain time… Deep learning for automated feature discovery and …