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Listar por autor "Malagón Selma, María del Pilar"

Mostrando ítems 1-6 de 6

Exploring essential variables for successful and unsuccessful football teams in the "Big Five" with multivariate supervised techniques

Malagón-Selma, María del Pilar; Debón, A.; Ferrer, Alberto (Università del Salento, 2022-05)

[EN] This research proposes multivariate techniques for discovering the game actions that contribute to the final ranking of football teams. This study uses data from the "Big Five" teams that competed in the Bundesliga ...
Influence of popularity on the transfer fees of football players

Malagón Selma, María del Pilar; Debón Aucejo, Ana María; Doménech i de Soria, Josep (Editorial Universitat Politècnica de València, 2022-09-20)

[EN] Search popularity, as reported by Google Trends, has previously been demonstrated to be useful when studying many time series. However, its use in cross-section studies is not straightforward because search popularity ...
Machine Learning and Multivariate Statistical Tools for Football Analytics

Malagón Selma, María del Pilar (Universitat Politècnica de València, 2023-10-05)

[ES] Esta tesis doctoral se centra en el estudio, implementación y aplicación de técnicas de aprendizaje automático y estadística multivariante en el emergente campo de la analítica deportiva, concretamente en el fútbol. ...
Machine Learning en el mundo del fútbol

Malagón Selma, María del Pilar (Universitat Politècnica de València, 2019-10-25)

[ES] Este trabajo analiza el rendimiento en el terreno de juego de jugadores profesionales de las grandes ligas europeas de fútbol durante la temporada 2017-18 a partir de estrategias y técnicas de Machine Learning y Big ...
Measuring the popularity of football players with Google Trends

Malagón-Selma, María del Pilar; Debón, A.; Domenech, Josep (Public Library of Science, 2023-08-16)

[EN] Google Trends is a valuable tool for measuring popularity since it collects a large amount of information related to Google searches. However, Google Trends has been underused by sports analysts. This research proposes ...
Modelos de Machine Learning y estadística multivariante para predecir la posición de los equipos de primera división

Malagón-Selma, María del Pilar; Debón, A.; Ferrer, Alberto (Universitat de València, 2022)

[EN] This research aims to find which models of Machine Learning and Multivariate Statistics have a greater predictive capacity when deciding what the team's classification will be at the end of the season. The teams that ...