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Kaggle: seizure prediction MATLAB solution -- auto encoder approach

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


Updated 22 Sep 2016

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This is a MATLAB solution to the Melbourne University AES/MathWorks/NIH 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: 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 (, 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

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