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06/08/2023
A Rapid Review of Responsible AI frameworks: How to guide the development of ethical AI
In the last years, the raise of Artificial Intelligence (AI), and its pe...
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02/16/2023
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting
Current AI regulations require discarding sensitive features (e.g., gend...
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02/16/2023
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning
The increasing application of Artificial Intelligence and Machine Learni...
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09/11/2019
How to make latent factors interpretable by feeding Factorization machines with knowledge graphs
Model-based approaches to recommendation can recommend items with a very...
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09/05/2019
On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them
Hyper-parameters tuning is a crucial task to make a model perform at its...
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07/17/2018
Knowledge-aware Autoencoders for Explainable Recommender Sytems
Recommender Systems have been widely used to help users in finding what ...
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07/13/2018
Computing recommendations via a Knowledge Graph-aware Autoencoder
In the last years, deep learning has shown to be a game-changing technol...
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07/11/2018
The importance of being dissimilar in Recommendation
Similarity measures play a fundamental role in memory-based nearest neig...
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07/11/2018