222 citations · 486 across the 17 of their papers we have counts for
17 papers
DTOR: Decision Tree Outlier Regressor to explain anomalies
Riccardo Crupi, Daniele Regoli, Alessandro Damiano Sabatino +5
Explaining outliers occurrence and mechanism of their occurrence can be extremely important in a variety of domains. Malfunctions, frauds, threats, in addition to being correctly i…
Evaluative Item-Contrastive Explanations in Rankings
Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli +2
The remarkable success of Artificial Intelligence in advancing automated decision-making is evident both in academia and industry. Within the plethora of applications, ranking syst…
Fair Enough? A map of the current limitations of the requirements to have fair algorithms
Daniele Regoli, Alessandro Castelnovo, Nicole Inverardi +2
In recent years, the increase in the usage and efficiency of Artificial Intelligence and, more in general, of Automated Decision-Making systems has brought with it an increasing an…
Disambiguation of Company names via Deep Recurrent Networks
Alessandro Basile, Riccardo Crupi, Michele Grasso +5
Name Entity Disambiguation is the Natural Language Processing task of identifying textual records corresponding to the same Named Entity, i.e. real-world entities represented as a…
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation
Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi +2
Machine learning applications are becoming increasingly pervasive in our society. Since these decision-making systems rely on data-driven learning, risk is that they will systemati…
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness
Yuri Nakao, Lorenzo Strappelli, Simone Stumpf +3
With Artificial intelligence (AI) to aid or automate decision-making advancing rapidly, a particular concern is its fairness. In order to create reliable, safe and trustworthy syst…