Artificial intelligence (AI) is being deployed in missions that are increasingly critical for human life. To build trust in AI and avoid an algorithm-based authoritarian...

An ever-increasing number of decisions affecting our lives are made by algorithms. For this reason, algorithmic transparency is becoming a pressing need: automated decisions...

The Premise, the Proposed Solutions, and the Open Challenges The combination of increased availability of large amounts of fine-grained human behavioral data and advances in...

This is a method to filter a large complex network to its backbone structure, by means of statistical hypothesis testing. This method is available as a downloadable software...

Formenti, D, Trecroci, A, Duca, M, Vanoni, M, Ciovati, M, Rossi, A, and Alberti, G. Volleyball-specific skills and cognitive functions can discriminate players of different...

GSP receives a text document as input and returns an enriched document, where all mentions of places/locations are associated to the corresponding geographic coordinates. To...

We conduct extensive experiments on public datasets of bike and taxi rides to show that MoGAN outperforms the classical Gravity and Radiation models regarding the realism of...

We present an approach to explain the decisions of black-box image classifiers through synthetic exemplar and counter-exemplar learnt in the latent feature space. Our...

A suite of methods for explainable AI for different Ai models

Abstract: This webinar is focused on describing the importance of the data in soccer and in particular on the athletic trainer point of view. Cristoforo Fialetti, an athletic...

This code contains two Mathematica notebooks to find the polarizing opinion vectors given the social graph and the nodes’ susceptibility. The notebooks have to be saved in the...

Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often...

Urbanization is a great challenge for modern societies, promising better access to economic opportunities, but widening socioeconomic inequalities. Accurately tracking this...

Evaluating local explanation methods is a difficult task due to the lack of a shared and universally accepted definition of explanation. In the literature, one of the most...

Report on the Humane-AI microproject "Pluralistic Recommendation in News". It contains details on how the two relevant datasets were built, a link to the two, and details...

There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to provide more transparency to their algorithms....

Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its...

Algorithms that tackle the problem of minimizing average/maximum hitting time (BMAH/BMMH) between different social network groups, given fixed shortcut edges. The...

Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. In this experiment, we...

We provide a method to visualize the results of Boolean Matrix Factorization algorithms. Our method can also be used to visualize overlapping clusters in bipartite graphs. The...