Kaggle: Difference between revisions

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We use this wiki to archive information. We use this google group to communicate with each other:
We use this wiki to archive information. We use this google group to communicate with each other:
https://groups.google.com/forum/#!forum/nbkaggle


https://groups.google.com/forum/#!forum/nbkaggle
The Noisebridge neuro hacking dream team has a lot of useful stuff on their reading list:
https://noisebridge.net/wiki/DreamTeam/Reading#Seizure_Detection


Here is a link to the competition:
Here is a link to the competition:
https://www.kaggle.com/c/melbourne-university-seizure-prediction/data
https://www.kaggle.com/c/melbourne-university-seizure-prediction/data



Revision as of 21:26, 7 September 2016

Noisebridge Kaggle team!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

We use this wiki to archive information. We use this google group to communicate with each other: https://groups.google.com/forum/#!forum/nbkaggle

The Noisebridge neuro hacking dream team has a lot of useful stuff on their reading list: https://noisebridge.net/wiki/DreamTeam/Reading#Seizure_Detection

Here is a link to the competition: https://www.kaggle.com/c/melbourne-university-seizure-prediction/data

Papers

Random papers from google searching "machine learning seizure detection"

Application of Machine Learning To Epileptic Seizure Detection

Ali Shoeb, John Guttag Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139

https://drive.google.com/open?id=0ByjOj5sb0Oj_SGduRjduNVdfX1k

EEG-based neonatal seizure detection with Support Vector Machines

A. Temko a,*, E. Thomas a, W. Marnane a,b, G. Lightbody a,b, G. Boylan a,c a Neonatal Brain Research Group, University College Cork, Ireland b Department of Electrical and Electronic Engineering, University College Cork, Ireland c Department of Paediatrics and Child Health, University College Cork, Ireland

https://drive.google.com/open?id=0ByjOj5sb0Oj_UzVxdGpkcTNPV0E


Code

How should we organize our code? A github organization?

reading the data

Here is a python function to load a file from the matplotlib file format.


from scipy.io import loadmat

def load(fn):
    return loadmat(fn, struct_as_record=False)['dataStruct'][0, 0].data