SIMDA Version 1.0 (Feb, 2019) (Matlab code)

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Copyright (c) 2019 Yuyang Gao
George Mason University
ygao13@gmu.edu

Please cite the following paper in any work that uses this code:

Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang. "Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype Forecasting". In Proceedings of the Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019),


Together with this Read me.txt are the codes and an example dataset.

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ENVIRONMENT: 
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Matlab 2011-2019 (previous version may also work)


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INSTALLATION: 
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Before running the codes, please first download and include the deep learning toolbox DeepLearnToolbox in the same folder of the code.
DeepLearnToolbox can be download at: https://github.com/rasmusbergpalm/DeepLearnToolbox.


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EXAMPLE RUN:
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An example dataset 'china_air.mat' has been included along with the code. 
To run the code with the example data, type the following command in matlab command window:
>> run_SIMDA


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DATA FORMAT: 
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Please refer to the example dataset 'china_air.mat' and the comments in 'SIMDA.m' for the details of input data formulation.

If there is any problem, please contact Yuyang Gao via ygao13@gmu.edu.