The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Morala P, Cifuentes J, Lillo R, Ucar I (2021). “Towards a mathematical framework to inform neural network modelling via polynomial regression.” Neural Networks, 142, 57–72. doi:10.1016/j.neunet.2021.04.036.
Morala P, Cifuentes J, Lillo R, Ucar I (2023). “NNN2Poly: A Polynomial Representation for Deep Feed-Forward Artificial Neural Networks.” IEEE Transactions on Neural Networks and Learning Systems. doi:10.1109/TNNLS.2023.3330328.
Corresponding BibTeX entries:
@Article{,
title = {Towards a mathematical framework to inform neural network
modelling via polynomial regression},
author = {Pablo Morala and J. Alexandra Cifuentes and Rosa E. Lillo
and I{\~n}aki Ucar},
journal = {Neural Networks},
month = {October},
year = {2021},
volume = {142},
pages = {57--72},
doi = {10.1016/j.neunet.2021.04.036},
}
@Article{,
title = {NNN2Poly: A Polynomial Representation for Deep
Feed-Forward Artificial Neural Networks},
author = {Pablo Morala and J. Alexandra Cifuentes and Rosa E. Lillo
and I{\~n}aki Ucar},
journal = {IEEE Transactions on Neural Networks and Learning
Systems},
year = {2023},
doi = {10.1109/TNNLS.2023.3330328},
}
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.