Jose Carlos Garcia Garcia

Optimization techniques applied to machine learning model development

Esta tesis doctoral ha sido desarrollada por José Carlos García García, bajo la supervisión del Dr. Ricardo García Ródenas y el Dr. José Ángel Martín Baos en la Universidad de …

A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling

Traditionally, Random Utility Maximization (RUM) models have been widely applied to travel mode choice modelling. Currently, Machine Learning (ML) models are being applied as an …

A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling

A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs

Several common general purpose optimization algorithms are compared for finding A- and D-optimal designs for different types of statistical models of varying complexity, including …