activity
20182026
most citedBayesian network approach to building an affective module for a driver behavioural model

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

stat.AP2026

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…

stat.ME2025

Bayesian inference for case-control point pattern data in spatial epidemiology with the \texttt{inlabru} R package

Francisco Palmí-Perales, Finn Lindgren, Virgilio Gómez-Rubio

The analysis of case-control point pattern data is an important problem in spatial epidemiology. The spatial variation of cases if often compared to that of a set of controls to as…

stat.AP20251 cited

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…

stat.AP2024

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…

stat.CO2018

Approximate Bayesian inference for mixture cure models

Elena Lázaro, Carmen Armero, Virgilio Gómez-Rubio

Cure models in survival analysis deal with populations in which a part of the individuals cannot experience the event of interest. Mixture cure models consider the target populatio…