José Ángel Martín Baos
  • Publicaciones
  • Conferencias
  • Docencia
  • TFGs y tesis
  • Proyectos
  • Blog
  • Sobre mí
  • Contacto
  • English
  • Phd-Theses
    • Optimization techniques applied to machine learning model development
  • Blog
    • El pasado 30 de septiembre, recibí el XXI Premio Abertis a la movilidad sostenible por mi tesis doctoral
    • El 4 de marzo de 2024, daré una charla en la serie de seminarios en línea NeEDS
    • El pasado 7 de Julio defendí mi tesis doctoral en Tecnologías Informáticas Avanzadas
    • El grupo MAT ha desarrollado una web para monitorizar la propagación del COVID-19
    • Sysorm 2019
  • Bsc-Projects
    • Técnicas de destilación de conocimiento a partir de modelos fundacionales para imágenes satelitales
  • Conferencias recientes y próximas
    • An Optimization Model for Determining Access Costs in Rail Freight Transportation
    • Enhancing the convergence speed of line search methods: Applications in Neural Network training
    • Creación de un modelo de probabilidad de victoria para partidos de balonmano mediante técnicas de aprendizaje automático
    • An optimal control model for determining freight rail transport access costs
    • ROBIN: Rail mOBIlity simulatioN
    • The time slots allocation problem in liberalised passenger railway markets: a multi-objective approach
    • 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 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
    • 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
    • A python package for performing penalized maximum likelihood estimation of conditional logit models using kernel logistic regression
    • Discrete choice modeling using Kernel Logistic Regression
    • A methodology for monitoring traffic flow and air pollution in urban areas
  • Docencia
  • Projects
  • Thesis
  • Bachelor-Computer-Engineering-Courses
    • Algebra y Matemática Discreta
    • Cálculo y Métodos Numéricos
  • Publicaciones
    • PyKernelLogit: Penalised maximum likelihood estimation of Kernel Logistic Regression in Python
    • Scalable Kernel Logistic Regression with Nyström Approximation: Theoretical Analysis and Application to Discrete Choice Modelling
    • The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach
    • ROBIN: Rail mOBIlity simulatioN
    • A prediction and behavioural analysis of machine learning methods for modelling travel mode choice
    • Machine learning methods applied to transport demand modelling
    • A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling
    • 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
    • Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach
    • A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs
    • Discrete choice modeling using Kernel Logistic Regression
    • A general approach to fuzzy community detection in social networks
  • About me
  • Projects
    • Integración de Métodos de Inteligencia Artificial y Aprendizaje Automático para la Planificación Táctica de Sistemas Ferroviarios de pasajeros bajo competencia
    • Robustez, eficiencia y recuperación de sistemas de transporte público
  • Privacy Policy
  • Algebra y Matemática Discreta
  • Cálculo y Métodos Numéricos
Bachelor-Computer-Engineering-Courses
Algebra y Matemática Discreta

Algebra y Matemática Discreta

  • Años de docencia: 2020-Presente.
  • Ubicación: Escuela Superior de Informática (ESI). Ciudad Real.
  • Idioma: Inglés

Temario:

  1. Conjuntos, relaciones y aplicaciones
  2. Combinatoria
  3. Aritmética
  4. Teoría de grafos
Última actualización el jun. 1, 2024
Cálculo y Métodos Numéricos may. 1, 2024 →
Idiomas:
Español
English

Privacy Policy

© 2024 José Ángel Martín Baos

Update cookies preferences