Master Thesis Online
Predict Scorer in a football game with self and inter-sample attention
Grifnee, Jean 
Promotor(s) :
Ittoo, Ashwin
Date of defense : 4-Sep-2023/8-Sep-2023 • Permalink : http://hdl.handle.net/2268.2/18842
thesis.pdfDetails
| Title : | Predict Scorer in a football game with self and inter-sample attention |
| Author : | Grifnee, Jean
|
| Date of defense : | 4-Sep-2023/8-Sep-2023 |
| Advisor(s) : | Ittoo, Ashwin
|
| Committee's member(s) : | Castillo Lenz, Sergio Miguel
|
| Language : | English |
| Discipline(s) : | Business & economic sciences > Multidisciplinary, general & others |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en ingénieur de gestion, à finalité spécialisée en digital business |
| Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[en] The aim of this master’s thesis was to analyse the performance of a new architecture for tabulardata, more specifically involving self and inter-sample attention. The research area was linked to sport and football more specifically, with the aim of creating a model giving the probabilities of a player scoring during a match. At the end, we created a streamlit dashboard to show a possible application of the model trained by SAINT.
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The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.