2017
Autores
Barbosa, J; Camacho, R; Dutra, I; Marques, O;
Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
2023
Autores
Barbosa, A; Ribeiro, P; Dutra, I;
Publicação
COMPLEX NETWORKS AND THEIR APPLICATIONS XI, COMPLEX NETWORKS 2022, VOL 2
Abstract
Association Football is probably the world's most popular sport. Being able to characterise and compare football players is therefore a very important and impactful task. In this work we introduce spatial flow motifs as an extension of previous work on this problem, by incorporating both temporal and spatial information into the network analysis of football data. Our approach considers passing sequences and the role of the player in those sequences, complemented with the physical position of the field where the passes occurred. We provide experimental results of our proposed methodology on real-life event data from the Italian League, showing we can more accurately identify players when compared to using purely topological data.
2018
Autores
Harrison, C; Kirkpatrick, CR; Dutra, I;
Publicação
CoRR
Abstract
2018
Autores
Silva, C; Dutra, I; Dahlem, MS;
Publicação
CoRR
Abstract
2024
Autores
Teresa Medina; Lopes, G.; Ines Dutra; Marta Correia da Silva; Barros, Renata; Teresa Duarte;
Publicação
Abstract
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