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Greatest papers with code

SGDR: Stochastic Gradient Descent with Warm Restarts

13 Aug 2016rwightman/pytorch-image-models

Partial warm restarts are also gaining popularity in gradient-based optimization to improve the rate of convergence in accelerated gradient schemes to deal with ill-conditioned functions.

EEG STOCHASTIC OPTIMIZATION

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

19 Nov 2015pbashivan/EEGLearn

One of the challenges in modeling cognitive events from electroencephalogram (EEG) data is finding representations that are invariant to inter- and intra-subject differences, as well as to inherent noise associated with such data.

EEG TIME SERIES VIDEO CLASSIFICATION

Decoding P300 Variability using Convolutional Neural Networks

Frontiers in Human Neuroscience 2019 vlawhern/arl-eegmodels

Deep convolutional neural networks (CNN) have previously been shown to be useful tools for signal decoding and analysis in a variety of complex domains, such as image processing and speech recognition.

EEG EEG DECODING SPEECH RECOGNITION

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials

12 Mar 2018vlawhern/arl-eegmodels

Steady-State Visual Evoked Potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli.

EEG

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces

23 Nov 2016vlawhern/arl-eegmodels

We introduce the use of depthwise and separable convolutions to construct an EEG-specific model which encapsulates well-known EEG feature extraction concepts for BCI.

EEG

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

12 Mar 2017akaraspt/deepsleepnet

This demonstrated that, without changing the model architecture and the training algorithm, our model could automatically learn features for sleep stage scoring from different raw single-channel EEGs from different datasets without utilizing any hand-engineered features.

EEG SLEEP STAGE DETECTION

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

18 Dec 2016pulp-platform/pulp

Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data is stored or sent over the network at various stages of the analytics pipeline.

EEG FACE DETECTION SEIZURE DETECTION

Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals

25 Jun 2020SuperBruceJia/EEG-DL

In previous studies, decoding electroencephalography (EEG) signals has not considered the topological relationship of EEG electrodes.

EEG INTENT DETECTION SEIZURE PREDICTION

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

16 Jun 2020SuperBruceJia/EEG-DL

To conclude, the GCNs-Net filters EEG signals based on the functional topological relationship, which manages to decode relevant features for brain motor imagery.

EEG