Conferencias recientes y próximas

2023

The time slots allocation problem in liberalised passenger railway markets: a multi-objective approach

Sep 6, 2023 — Sep 8, 2023 Santander, España

Nikola Besinovic, Ricardo García-Ródenas, María Luz López-García, Julio Alberto López-Gómez, José Ángel Martín-Baos

Proyecto

The time slots allocation problem in liberalised passenger railway markets: a multi-objective approach

ROBIN: Rail mOBIlity simulatioN

Sep 6, 2023 — Sep 8, 2023 Santander, España

Ester del Castillo Herrera, Ricardo García-Ródenas, Luis Jiménez Linares, María Luz López-García, Julio Alberto López-Gómez, José Ángel Martín-Baos, Juan Moreno García, David Muñoz Valer, Luis Rodriguez-Benitez, Enrique Adrián Villarubia Martín

Proyecto

ROBIN: Rail mOBIlity simulatioN

Nyström-based approximations for kernel logistic regression: Application to transport choice modelling

Jul 17, 2023 — Jul 21, 2023 Montreal, Canada

José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez, Michel Bierlaire

Código fuente Proyecto Diapositivas

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

Jun 28, 2023 — Jun 30, 2023 Sevilla, Spain

José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez

Código fuente Proyecto Diapositivas

Optimization techniques for Kernel Logistic Regression on large-scale datasets: A comparative study

2021

A Unimodal Ordered Logit model for ranked choices

Sep 12, 2021 — Sep 14, 2021 Monte Verità, Ascona, Suiza

Melvin Wong, José Ángel Martín-Baos, Michel Bierlaire

PDF Código fuente

A Unimodal Ordered Logit model for ranked choices

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

Sep 8, 2021 — Sep 10, 2021 Aveiro, Portugal

José Carlos García-García, Julio Alberto López-Gómez, Ricardo García-Ródenas, José Ángel Martín-Baos

Proyecto Diapositivas

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

A Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression

Jul 6, 2021 — Jul 8, 2021 Burgos, España

José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez

PDF Código fuente Proyecto

A Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression

Seminario: Discrete choice modelling using Kernel Logistic Regression

Jun 18, 2021 9:00 AM École polytechnique fédérale de Lausanne (EPFL), Lausana

José Ángel Martín-Baos

Seminario: Discrete choice modelling using Kernel Logistic Regression

2020

A python package for performing penalized maximum likelihood estimation of conditional logit models using kernel logistic regression

Jun 24, 2020 — Jun 26, 2020 Valencia, España (Online)

José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez

Código fuente Proyecto Diapositivas Vídeo

A python package for performing penalized maximum likelihood estimation of conditional logit models using kernel logistic regression

2019

Discrete choice modeling using Kernel Logistic Regression

Sep 18, 2019 — Sep 20, 2019 Barcelona, España

José Ángel Martín-Baos, Ricardo García-Ródenas, María Luz López-García, Luis Rodriguez-Benitez

PDF Proyecto

Discrete choice modeling using Kernel Logistic Regression

A methodology for monitoring traffic flow and air pollution in urban areas

Jul 29, 2019 — Aug 1, 2019 El Escorial, España

José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez

PDF Diapositivas

A methodology for monitoring traffic flow and air pollution in urban areas