Luis Rodriguez-Benitez

ROBIN: Rail mOBIlity simulatioN
Nyström-based approximations for kernel logistic regression: Application to transport choice modelling
Optimization techniques for Kernel Logistic Regression on large-scale datasets: A comparative study
A prediction and behavioural analysis of machine learning methods for modelling travel mode choice
IoT based monitoring of air quality and traffic using regression analysis
A Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression
A Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression
Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach
A python package for performing penalized maximum likelihood estimation of conditional logit models using kernel logistic regression
Discrete choice modeling using Kernel Logistic Regression
Discrete choice modeling using Kernel Logistic Regression
A methodology for monitoring traffic flow and air pollution in urban areas