<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>José Ángel Martín Baos</title><link>https://joseangelmartin.com/es/authors/jose-angel-martin-baos/</link><atom:link href="https://joseangelmartin.com/es/authors/jose-angel-martin-baos/index.xml" rel="self" type="application/rss+xml"/><description>José Ángel Martín Baos</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>es-es</language><lastBuildDate>Thu, 31 Jul 2025 00:00:00 +0000</lastBuildDate><item><title>The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach</title><link>https://joseangelmartin.com/es/publication/bgl-25/</link><pubDate>Thu, 31 Jul 2025 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/bgl-25/</guid><description/></item><item><title>A model for pricing freight rail transport access costs: economic and environmental perspectives</title><link>https://joseangelmartin.com/es/publication/gcc-25/</link><pubDate>Tue, 08 Apr 2025 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/gcc-25/</guid><description/></item><item><title>Scalable kernel logistic regression with Nyström approximation: Theoretical analysis and application to discrete choice modelling</title><link>https://joseangelmartin.com/es/publication/mgr-25/</link><pubDate>Fri, 07 Feb 2025 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/mgr-25/</guid><description/></item><item><title>PyKernelLogit: Penalised maximum likelihood estimation of Kernel Logistic Regression in Python</title><link>https://joseangelmartin.com/es/publication/mgl-24/</link><pubDate>Fri, 01 Mar 2024 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/mgl-24/</guid><description/></item><item><title>A prediction and behavioural analysis of machine learning methods for modelling travel mode choice</title><link>https://joseangelmartin.com/es/publication/mlr-23/</link><pubDate>Wed, 01 Nov 2023 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/mlr-23/</guid><description/></item><item><title>Machine learning methods applied to transport demand modelling</title><link>https://joseangelmartin.com/es/publication/mar-23/</link><pubDate>Fri, 07 Jul 2023 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/mar-23/</guid><description/></item><item><title>A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling</title><link>https://joseangelmartin.com/es/publication/ggl-22/</link><pubDate>Fri, 11 Mar 2022 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/ggl-22/</guid><description/></item><item><title>IoT based monitoring of air quality and traffic using regression analysis</title><link>https://joseangelmartin.com/es/publication/mrg-21/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/mrg-21/</guid><description/></item><item><title>A Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression</title><link>https://joseangelmartin.com/es/publication/mgr-21-b/</link><pubDate>Wed, 08 Dec 2021 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/mgr-21-b/</guid><description/></item><item><title>Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach</title><link>https://joseangelmartin.com/es/publication/mgr-21/</link><pubDate>Tue, 16 Mar 2021 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/mgr-21/</guid><description/></item><item><title>A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs</title><link>https://joseangelmartin.com/es/publication/ggl-20/</link><pubDate>Wed, 01 Apr 2020 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/ggl-20/</guid><description/></item><item><title>Discrete choice modeling using Kernel Logistic Regression</title><link>https://joseangelmartin.com/es/publication/mgl-20/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/mgl-20/</guid><description/></item><item><title>A general approach to fuzzy community detection in social networks</title><link>https://joseangelmartin.com/es/publication/nrm-19/</link><pubDate>Mon, 01 Jul 2019 00:00:00 +0000</pubDate><guid>https://joseangelmartin.com/es/publication/nrm-19/</guid><description/></item></channel></rss>