New IEEE TNNLS journal paper

Congratulations to my student Francesco Crecchi for his first journal paper showing how Dropout can be used to enforce robustness to missing inputs at test time in several recurrent neural networks. Check out its applications to sensor data processing.

Davide Bacciu, Francesco Crecchi : Augmenting Recurrent Neural Networks Resilience by Dropout. In: Accepted for IEEE Transactions on Neural Networs and Learning Systems, Forthcoming.