1 citations · 1 across the 5 of their papers we have counts for
5 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…
Selecting the best compositions of a wheelchair basketball team: a data-driven approach
Gabriel Calvo, Carmen Armero, Bernd Grimm +1
Wheelchair basketball, regulated by the International Wheelchair Basketball Federation, is a sport designed for individuals with physical disabilities. This paper presents a data-d…