227 citations · 314 across the 5 of their papers we have counts for
4 papers · 1 filter
Enabling Synthetic Data adoption in regulated domains
Giorgio Visani, Giacomo Graffi, Mattia Alfero +3
The switch from a Model-Centric to a Data-Centric mindset is putting emphasis on data and its quality rather than algorithms, bringing forward new challenges. In particular, the se…
Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes
Giorgio Visani, Federico Chesani, Enrico Bagli +2
In the global economy, credit companies play a central role in economic development, through their activity as money lenders. This important task comes with some drawbacks, mainly…
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
Giorgio Visani, Enrico Bagli, Federico Chesani
Local Interpretable Model-Agnostic Explanations (LIME) is a popular method to perform interpretability of any kind of Machine Learning (ML) model. It explains one ML prediction at…
Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models
Giorgio Visani, Enrico Bagli, Federico Chesani +2
Nowadays we are witnessing a transformation of the business processes towards a more computation driven approach. The ever increasing usage of Machine Learning techniques is the cl…