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Learning fair models and representations

Machine learning based systems and products are reaching society at large in many aspects of everyday life, including financial lending, online advertising, pretrial and immigration detention, child maltreatment screening, health care, social services, and education. This phenomenon has been accompani...

General Fair Empirical Risk Minimization

We tackle the problem of algorithmic fairness, where the goal is to avoid the unfairly influence of sensitive information, in the general context of regression with possible continuous sensitive attributes. We extend the framework of fair empirical risk minimization of [1] to this ...

FrEX: Extracting Property Expropriation Frame Entities from Real Cases

We describe FrEX, a Frame Entity eXtractor for real estate property expropriation cases rooted in Frame Semantics and heavily exploiting Natural Language Processing approaches. FrEX has been tested on 24 real, non anonymized cases shared with us by the Tribunal of Milan, described...

Transcultural Health-Aware Guides for the Elderly

In this brief position paper, we present our vision for using software agents and related technologies to address the growing need of transcultural health-aware “Guides” for the elderly, an increasingly important topic given the clear trend of population ageing. Such autonomous intelli...

A first checklist of the alien-dominated vegetation in Italy

This study provides a first step toward the knowledge of the alien-dominated and codominated plant communities present in Italy. The first ever checklist of the alien phytocoenoses described or reported in literature for the Italian territory has been compiled, produced by data-mining i...

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Prodotti recenti

Learning fair models and representations

General Fair Empirical Risk Minimization

FrEX: Extracting Property Expropriation Frame Entities from Real Cases

Transcultural Health-Aware Guides for the Elderly

A first checklist of the alien-dominated vegetation in Italy

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