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pro vyhledávání: '"Visani, Giorgio"'
The explainability of machine learning algorithms is crucial, and numerous methods have emerged recently. Local, post-hoc methods assign an attribution score to each feature, indicating its importance for the prediction. However, these methods requir
Externí odkaz:
http://arxiv.org/abs/2408.05060
Autor:
Visani, Giorgio, Graffi, Giacomo, Alfero, Mattia, Bagli, Enrico, Capuzzo, Davide, Chesani, Federico
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 sensitive nature of the information in highly regulated scenarios needs
Externí odkaz:
http://arxiv.org/abs/2204.06297
Autor:
Loreti, Daniela, Visani, Giorgio
Publikováno v:
In Future Generation Computer Systems September 2024 158:308-322
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 the risk of the debtors not being able to repay the provided credit. T
Externí odkaz:
http://arxiv.org/abs/2012.15103
The aim of this project is to develop and test advanced analytical methods to improve the prediction accuracy of Credit Risk Models, preserving at the same time the model interpretability. In particular, the project focuses on applying an explainable
Externí odkaz:
http://arxiv.org/abs/2011.10367
Classification tasks in machine learning involving more than two classes are known by the name of "multi-class classification". Performance indicators are very useful when the aim is to evaluate and compare different classification models or machine
Externí odkaz:
http://arxiv.org/abs/2008.05756
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 a time, by learning a simple linear model around the prediction. The m
Externí odkaz:
http://arxiv.org/abs/2006.05714
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 clearest example of such trend. This sort of revolution is often providi
Externí odkaz:
http://arxiv.org/abs/2001.11757
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