PhD studentUniversity of Trento
Department of Information Engineering and Computer Science
Italy, TN 38123
Daniele Bonadiman obtained his Master Degree in Computer Science at the University of Trento in 2015.
His interests include:
Semi-Supervised Deep Learning techniques applied to NLP and Sequence Labeling Tasks (Master thesis).
Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).