11 citations · 17 across the 11 of their papers we have counts for
6 papers · 1 filter
Longitudinal Bayesian networks for assessing team performance in the National Basketball Association
Gabriel Calvo, Francisco Palmí-Perales, Carmen Armero +1
Assessing the performance of a basketball team requires the consideration of multiple sources of information. In recent years, the volume and the quality of data generated in sport…
Predicting subjective rage and facial expressions in human driving: A Bayesian network approach with beta-distributed nodes
Zaïra Méndez-Porcar, Francisco Palmí-Perales, Gabriel Calvo +2
A Bayesian network framework is proposed for modelling unit-bounded continuous variables using conditional beta-distributed nodes within a fully Bayesian inference setting. The mod…
Bayesian network approach to building an affective module for a driver behavioural model
Dorota Młynarczyk, Gabriel Calvo, Francisco Palmi-Perales +4
This paper focuses on the affective component of a driver behavioural model (DBM). This component specifically models some drivers' mental states such as mental load and active fat…
Bayesian network approach to building an affective module for a driver behavioural model
Dorota Młynarczyk, Gabriel Calvo, Francisco Palmi-Perales +3
This paper focuses on the affective component of a Driver Behavioural Model (DBM), specifically modelling some driver's mental states, such as mental load and active fatigue, which…
Spatial similarity index for scouting in football
Virgilio Gómez-Rubio, Jesús Lagos, Francisco Palmí-Perales
Finding players with similar profiles is an important problem in sports such as football. Scouting for new players requires a wealth of information about the available players so t…
Spatial Risk Patterns-ANOVA: Multivariate Analysis Of Suicide-Related Emergency Calls
P. Escobar-Hernández, A. López-Quílez, F. Palmí-Perales +1
Multivariate spatial disease mapping has become a pivotal part of everyday practice in social epidemiology. Despite the existence of several specifications for the relation between…