99 citations · 146 across the 18 of their papers we have counts for
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stat.ML2021
Logic Constraints to Feature Importances
Nicola Picchiotti, Marco Gori
In recent years, Artificial Intelligence (AI) algorithms have been proven to outperform traditional statistical methods in terms of predictivity, especially when a large amount of…
stat.ML2021
Clustering-Based Interpretation of Deep ReLU Network
Nicola Picchiotti, Marco Gori
Amongst others, the adoption of Rectified Linear Units (ReLUs) is regarded as one of the ingredients of the success of deep learning. ReLU activation has been shown to mitigate the…
cs.LG2021
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier
Simone Marullo, Matteo Tiezzi, Marco Gori +1
In the last decade, motivated by the success of Deep Learning, the scientific community proposed several approaches to make the learning procedure of Neural Networks more effective…