461 citations · 797 across the 13 of their papers we have counts for
Showing 2016Show all
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stat.ML2016★ 114 cited
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
Giorgio Patrini, Alessandro Rozza, Aditya Menon +2
We present a theoretically grounded approach to train deep neural networks, including recurrent networks, subject to class-dependent label noise. We propose two procedures for loss…
cs.LG2016
A Cross-Entropy-based Method to Perform Information-based Feature Selection
Pietro Cassara, Alessandro Rozza, Mirco Nanni
From a machine learning point of view, identifying a subset of relevant features from a real data set can be useful to improve the results achieved by classification methods and to…