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📚 Code for paper "Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by means of a Convolutional DNN", IWANN 2019
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NN.py
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README.md

Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by means of a Convolutional DNN

F. Carrillo-Perez, L.J. Herrera, J.M. Carceller & A. Guillén

Code for the conference paper Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by means of a Convolutional DNN presented at the International Work-Conference on Artificial Neural Networks 2019 in Gran Canaria, Spain.

Disclaimer

Given that data used for this paper belongs to the Pierre Auger International Collaboration, it is not public. Therefore, functions to read data have been ommited.

Citation

If you find this work useful for your research, please cite:

@inproceedings{carrillo2019improving,
  title={Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN},
  author={Carrillo-Perez, Francisco and Herrera, Luis Javier and Carceller, Juan Miguel and Guill{\'e}n, Alberto},
  booktitle={International Work-Conference on Artificial Neural Networks},
  pages={222--232},
  year={2019},
  organization={Springer}
}

Contact

Please contact me if there is any question (Francisco Carrillo-Perez: franciscocp@correo.ugr.es).

License

MIT

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