File Exchange

image thumbnail

Kaggle: seizure prediction MATLAB solution -- auto encoder approach

version 1.0.0.0 (4.34 KB) by Jianghao Wang
Starter code for completing the Kaggle seizure prediction competition with MATLAB

3 Downloads

Updated 22 Sep 2016

View License

This is a MATLAB solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction (https://www.kaggle.com/c/melbourne-university-seizure-prediction).
It is built upon using autoencoders and neural nets from the Neural Network Toolbox.

The zip file contains:
1. autoencoder_train.m,
a script that constructs a deep network using autoencoders as explained in the example here: http://www.mathworks.com/help/nnet/ug/construct-deep-network-using-autoencoders.html. After constructing the deep or stacked network, the deep network is adapted with more training data.

2. autoencoder_test.m,
a script that loads the neural net constructed from the training data, and make predictions of validation and test data.

Cite As

Jianghao Wang (2021). Kaggle: seizure prediction MATLAB solution -- auto encoder approach (https://www.mathworks.com/matlabcentral/fileexchange/59122-kaggle-seizure-prediction-matlab-solution-auto-encoder-approach), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

chethan patel

HI Sir, i tried executing this code but am getting an error. please help me in getting the output.

Error using fprintf
Invalid file identifier. Use fopen to generate a valid file identifier.

Error in autoencoder_test (line 47)
fprintf(filePtr,'%6s %8s\n','File', 'Class');

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!