ROBIN: Rail mOBIlity simulatioN
ester-del-castillo-herrera
José Ángel Martín Baos
Assistant Professor (PhD)
José Ángel Martín Baos is an Assistant Professor (PhD) at the Escuela Superior de Informática of the University of Castilla-La Mancha. He obtained his PhD in Advanced Computer Technologies from the University of Castilla-La Mancha in 2023. There, he graduated with honors on both a BSc. in computer science in the year 2018, and a MSc. in computer science in the year 2019.
Since 2016, José Ángel has been working as a researcher in the MAT (Modelos y Algoritmos en Sistemas de Transportes) research group at the University of Castilla-La Mancha. His research focuses on the use of machine learning models and artificial intelligence for solving optimization problems in the field of transportation. Specifically, he has worked on the application of machine learning models for transport demand modeling.
•
•
1 min read
Nyström-based approximations for kernel logistic regression: Application to transport choice modelling
On July 7th, I defended my Ph.D. thesis in Advanced Computer Technologies
On Friday, July 7, 2023, I successfully defended my doctoral thesis titled 'Machine learning methods applied to transport demand modelling,' under the supervision of Professors …
Optimization techniques for Kernel Logistic Regression on large-scale datasets: A comparative study
A Unimodal Ordered Logit model for ranked choices
melvin-wong
A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling
jose-carlos-garcia-garcia
A Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression
Seminar: Discrete choice modelling using Kernel Logistic Regression
A python package for performing penalized maximum likelihood estimation of conditional logit models using kernel logistic regression
A webpage to monitor the propagation of COVID-19 disease
The MAT research group from the University of Castilla-La Mancha is developing a website to visualise and monitor the progress of COVID-19 disease in each country and autonomous …