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José Ángel Martín-Baos
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2020 – today
- 2024
- [j3]José Ángel Martín-Baos
, Ricardo García-Ródenas, María Luz López-García, Luis Rodriguez-Benitez
:
PyKernelLogit: Penalised maximum likelihood estimation of Kernel Logistic Regression in Python. Softw. Impacts 19: 100608 (2024) - [i3]Nikola Besinovic
, Ricardo García-Ródenas, María Luz López-García, Julio Alberto López-Gómez, José Ángel Martín-Baos:
The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach. CoRR abs/2401.12073 (2024) - [i2]José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez, Michel Bierlaire:
Scalable Kernel Logistic Regression with Nyström Approximation: Theoretical Analysis and Application to Discrete Choice Modelling. CoRR abs/2402.06763 (2024) - 2023
- [i1]José Ángel Martín-Baos, Julio Alberto López-Gómez, Luis Rodriguez-Benitez, Tim Hillel, Ricardo García-Ródenas:
A prediction and behavioural analysis of machine learning methods for modelling travel mode choice. CoRR abs/2301.04404 (2023) - 2022
- [j2]Jose Angel Martin-Baos
, Luis Rodriguez-Benitez
, Ricardo García-Ródenas, Jun Liu:
IoT based monitoring of air quality and traffic using regression analysis. Appl. Soft Comput. 115: 108282 (2022) - 2020
- [j1]Ricardo García-Ródenas
, José Carlos García-García
, Jesús López-Fidalgo
, Jose Angel Martin-Baos
, Weng Kee Wong:
A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs. Comput. Stat. Data Anal. 144: 106844 (2020)
2010 – 2019
- 2019
- [c1]Alfonso Niño
, Sebastián Reyes
, Jose Angel Martin-Baos
, Camelia Muñoz-Caro:
A General Approach to Fuzzy Community Detection in Social Networks. ICCCN 2019: 1-8
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last updated on 2024-08-05 21:12 CEST by the dblp team
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