no code implementations • 23 Jun 2023 • Dino Pedreschi, Luca Pappalardo, Ricardo Baeza-Yates, Albert-Laszlo Barabasi, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, Janos Kertesz, Alistair Knott, Yannis Ioannidis, Paul Lukowicz, Andrea Passarella, Alex Sandy Pentland, John Shawe-Taylor, Alessandro Vespignani
In order to understand the impact of AI on socio-technical systems and design next-generation AIs that team with humans to help overcome societal problems rather than exacerbate them, we propose to build the foundations of Social AI at the intersection of Complex Systems, Network Science and AI.
1 code implementation • 12 Mar 2022 • Marco Cardia, Massimiliano Luca, Luca Pappalardo
We propose CrowdNet, a solution to crowd flow prediction based on graph convolutional networks.
1 code implementation • 7 Mar 2022 • Massimiliano Luca, Luca Pappalardo, Bruno Lepri, Gianni Barlacchi
Next-location prediction, consisting of forecasting a user's location given their historical trajectories, has important implications in several fields, such as urban planning, geo-marketing, and disease spreading.
no code implementations • 22 Feb 2022 • Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo
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 the generated networks.
no code implementations • 29 Jun 2021 • Paolo Cintia, Luca Pappalardo
Capturing the playing style of professional soccer coaches is a complex, and yet barely explored, task in sports analytics.
1 code implementation • 1 Jun 2021 • Vasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, Luca Pappalardo
Thus, its measurement has drawn the attention of researchers, policymakers, and peacekeepers.
no code implementations • 16 Apr 2021 • Paolo Cintia, Giovanni Mauro, Luca Pappalardo, Paolo Ferragina
The performance of soccer players is one of most discussed aspects by many actors in the soccer industry: from supporters to journalists, from coaches to talent scouts.
no code implementations • 5 Jan 2021 • Luca Pappalardo, Alessio Rossi, Giuseppe Pontillo, Michela Natilli, Paolo Cintia
Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football.
Applications
1 code implementation • 4 Dec 2020 • Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, Luca Pappalardo
The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more.
1 code implementation • 1 Dec 2020 • Filippo Simini, Gianni Barlacchi, Massimiliano Luca, Luca Pappalardo
The movements of individuals within and among cities influence critical aspects of our society, such as well-being, the spreading of epidemics, and the quality of the environment.
1 code implementation • 17 Oct 2020 • Luca Pappalardo, Leo Ferres, Manuel Sacasa, Ciro Cattuto, Loreto Bravo
Home detection, assigning a phone device to its home antenna, is a ubiquitous part of most studies in the literature on mobile phone data.
Computers and Society Physics and Society
1 code implementation • 13 Jul 2020 • Danilo Sorano, Fabio Carrara, Paolo Cintia, Fabrizio Falchi, Luca Pappalardo
In this paper, we describe PassNet, a method to recognize the most frequent events in soccer, i. e., passes, from video streams.
7 code implementations • 8 Jul 2019 • Luca Pappalardo, Gianni Barlacchi, Filippo Simini, Roberto Pellungrini
The last decade has witnessed the emergence of massive mobility data sets, such as tracks generated by GPS devices, call detail records, and geo-tagged posts from social media platforms.
Physics and Society
no code implementations • 26 Jun 2018 • Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Salvatore Ruggieri, Franco Turini
We introduce the local-to-global framework for black box explanation, a novel approach with promising early results, which paves the road for a wide spectrum of future developments along three dimensions: (i) the language for expressing explanations in terms of highly expressive logic-based rules, with a statistical and causal interpretation; (ii) the inference of local explanations aimed at revealing the logic of the decision adopted for a specific instance by querying and auditing the black box in the vicinity of the target instance; (iii), the bottom-up generalization of the many local explanations into simple global ones, with algorithms that optimize the quality and comprehensibility of explanations.
1 code implementation • 14 Feb 2018 • Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, Fosca Giannotti
The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive data capturing all the events generated during a match (e. g., tackles, passes, shots, etc.).
no code implementations • 5 Dec 2017 • Luca Pappalardo, Paolo Cintia, Dino Pedreschi, Fosca Giannotti, Albert-Laszlo Barabasi
Humans are routinely asked to evaluate the performance of other individuals, separating success from failure and affecting outcomes from science to education and sports.
no code implementations • 23 May 2017 • Alessio Rossi, Luca Pappalardo, Paolo Cintia, Marcello Iaia, Javier Fernandez, Daniel Medina
Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players.
no code implementations • 2 May 2017 • Luca Pappalardo, Paolo Cintia
The availability of massive data about sports activities offers nowadays the opportunity to quantify the relation between performance and success.
1 code implementation • 16 Jul 2016 • Luca Pappalardo, Filippo Simini
DITRAS operates in two steps: the generation of a mobility diary and the translation of the mobility diary into a mobility trajectory.