2021
Authors
Barbosa, A; Ribeiro, P; Dutra, I;
Publication
MLSA@PKDD/ECML
Abstract
Association football has been the subject of many research studies. In this work we present a study on player similarity using passing sequences extracted from games from the top-5 European football leagues during the 2017/2018 season. We present two different approaches: first, we only count the motifs a player is involved in; then we also take into consideration the specific position a player occupies in each motif. We also present a new way to objectively judge the quality of the generated models in football analytics. Our results show that the study of passing sequences can be used to study player similarity with relative success.
2021
Authors
Eddin, AN; Bono, J; Aparício, D; Polido, D; Ascensão, JT; Bizarro, P; Ribeiro, P;
Publication
CoRR
Abstract
2021
Authors
Rocha, R; Formisano, A; Liu, YA; Areias, M; Angelopoulos, N; Bogaerts, B; Dodaro, C; Alviano, M; Brik, A; Vennekens, J; Pozzato, GL; Zhou, NF; Dahl, V; Fodor, P;
Publication
Electronic Proceedings in Theoretical Computer Science, EPTCS
Abstract
2021
Authors
Queirós, R; Pinto, M; Simões, A; Portela, F; Pereira, MJ;
Publication
SLATE
Abstract
2021
Authors
Simões, A; Queirós, R;
Publication
ICPEC
Abstract
This article documents some experiments on teaching a class on a Master Degree Program using a different perspective on gamification. Instead of winning badges or getting achievements, students earn classification points. This allows them to work as hard as they are willing, having in mind their current classification and how far they can reach. In the specific experiment being reported, students can earn final grade points with pull requests to a shared class project. The article describes the details of the experiment, extrapolates on different ideas for implementing this in other classes, and concludes with the pros and cons of such approach for student evaluation.
2021
Authors
Henriques, PR; Portela, F; Queirós, R; Simões, A;
Publication
ICPEC
Abstract
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