José Ángel Martín Baos
  • Publications
  • Talks
  • Teaching
  • Thesis
  • Projects
  • Blog
  • About me
  • Contact
  • Español
  • Phd-Theses
    • Optimization techniques applied to machine learning model development
  • Blog
    • On 30th September, I received the XXI Abertis Award for sustainable mobility for my doctoral thesis
    • On March 4th, 2024, I will give a talk at the NeEDS online seminar series
    • On July 7th, I defended my Ph.D. thesis in Advanced Computer Technologies
    • A webpage to monitor the propagation of COVID-19 disease
    • Sysorm 2019
  • Bsc-Projects
    • Knowledge distilation techniques from foundational models for satellite images
  • Recent & Upcoming Talks
    • 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
    • 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
    • Discrete choice modeling using Kernel Logistic Regression
    • A methodology for monitoring traffic flow and air pollution in urban areas
  • My courses
  • Projects
  • Thesis
  • Bachelor-Computer-Engineering-Courses
    • Algebra and Discrete Mathematics
    • Calculus and Numerical Methods
  • Publications
    • 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
    • Meeting Artificial Intelligence and Machine Learning for Rail Passenger Service Planning under Competition
    • Robustez, eficiencia y recuperación de sistemas de transporte público
  • Privacy Policy
  • Algebra and Discrete Mathematics
  • Calculus and Numerical Methods
Bachelor-Computer-Engineering-Courses
Algebra and Discrete Mathematics

Algebra and Discrete Mathematics

  • Years taught: 2020-Present.
  • Location: Escuela Superior de Informática (ESI). Ciudad Real.
  • Language: English

Syllabus:

  1. Sets, relations and functions
  2. Combinatorics
  3. Arithmetic
  4. Graph theory
  5. Introduction to linear algebra
Last updated on Jun 1, 2024
Calculus and Numerical Methods May 1, 2024 →
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