INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches.

Jun 8, 2020·

Nicolò Pinciroli

Yuri Cossich Lavinas

Daniele C Uchoa Maia Rodrigues

Felipe A Moura

Sergio Augusto Cunha

Claus Aranha

Ricardo da Silva Torres

· 0 min read

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Abstract

This paper introduces Interactive Graph Analyzer (INTEGRA), a tool to support the comparison of simulated football matches with real ones, through the analysis of dynamic graphs. Our tool supports coordinated views of temporal graphs, benefiting from traditional node-link diagrams and graph visual rhythms, a recently proposed 2D image representation. Our proposal is generic and may be tailored to different applications. We demonstrate the use of this tool in compelling case studies related to the comparison of graph-based measurements obtained from three different kinds of simulated football matches and real ones. In particular, we exploit usage scenarios related to how graph measurements evolve over time.

Type

Conference paper

Publication

ECMS

Last updated on Jun 8, 2020

Artificial Intelligence Sport Tools

Authors

Nicolò Pinciroli (he/him)

Postdoctoral Research Fellow

I am a postdoctoral research fellow at Politecnico di Milano, working at the intersection of artificial intelligence and astrophysics. I develop methods that combine spectra, images, time series, and scientific literature to study rare astronomical sources and transient phenomena. My research spans multimodal representation learning, explainable AI, gravitationally lensed transients, and the search for candidate pulsating ultraluminous X-ray sources.

I collaborate with INAF’s Osservatorio Astronomico di Roma and AstroAI at the Center for Astrophysics | Harvard & Smithsonian. I also work on time-series anomaly detection, predictive maintenance, and language-model applications for energy efficiency, and lead Work Package 3 of the Horizon Europe ENERGENIUS project.

I completed my PhD in Information Technology at Politecnico di Milano in June 2026, with the thesis “Making discoveries with multimodal astrophysics.”