Scalable kernel logistic regression with Nyström approximation: Theoretical analysis and application to discrete choice modelling; Neurocomputing; 2025-02 | Journal article; DOI: 10.1016/j.neucom.2024.128975; Part of ISSN: 0925-2312; Contributors: José Ángel Martín-Baos; Ricardo García-Ródenas; Luis Rodriguez-Benitez; Michel Bierlaire

Use of Fuzzy Time Series to Generate Linguistic Descriptions of Noise Pollution; 2024 | Book chapter; DOI: 10.1007/978-3-031-46979-4_4; Contributors: Luis Rodriguez-Benitez; Juan Moreno-Garcia; Ester del Castillo-Herrera; Jun Liu; Luis Jimenez-Linares

PyKernelLogit: Penalised maximum likelihood estimation of Kernel Logistic Regression in Python; Software Impacts; 2024-03 | Journal article; DOI: 10.1016/j.simpa.2023.100608; Contributors: José Ángel Martín-Baos; Ricardo García-Ródenas; María Luz López García; Luis Rodriguez-Benitez

Facilitating the Simulation of Domestic Energy Systems Through Linguistic Representations; 2023 | Book chapter; DOI: 10.1007/978-3-031-07707-4_10; Contributors: Luis Rodriguez-Benitez; Pablo Palomino-Gomez; Luis Jimenez-Linares; Juan Moreno-Garcia; Jun Liu

A Hybrid Online Off-Policy Reinforcement Learning Agent Framework Supported by Transformers; International Journal of Neural Systems; 2023-12 | Journal article; DOI: 10.1142/S012906572350065X; Contributors: Enrique Adrian Villarrubia-Martin; Luis Rodriguez-Benitez; Luis Jimenez-Linares; David Muñoz-Valero; Jun Liu

A prediction and behavioural analysis of machine learning methods for modelling travel mode choice; Transportation Research Part C: Emerging Technologies; 2023-11 | Journal article; DOI: 10.1016/j.trc.2023.104318; Contributors: José Ángel Martín-Baos; Julio Alberto López-Gómez; Luis Rodriguez-Benitez; Tim Hillel; Ricardo García-Ródenas

TS-Evolutionary_Prototyping: A Python module for finding the prototype in large sets of time series; Software Impacts; 2023-03 | Journal article; DOI: 10.1016/j.simpa.2022.100458; Contributors: Luis Rodriguez-Benitez; Pablo Leon-Alcaide; Ester del Castillo; Luis Cabañero-Gomez; Jun Liu; Luis Jimenez-Linares

Automatic Generation of Linguistic Descriptions of Electricity Consumption in the Buildings of a Large Institution; 2022 | Book chapter; DOI: 10.1007/978-3-030-74970-5_12; Contributors: Juan Moreno-Garcia; Luis Jimenez-Linares; Luis Rodriguez-Benitez

Syntactic Analysis of Sentences Using Deep Neural Networks; 2022 | Book chapter; DOI: 10.1007/978-3-030-88817-6_5; Contributors: David Muñoz-Valero; Luis Rodriguez-Benitez; Luis Jimenez-Linares; Juan Moreno-Garcia

Aggregation and definition of an algebraic framework for fuzzy time series: An application in the supply-demand domain; International Journal of Approximate Reasoning; 2022-10 | Journal article; DOI: 10.1016/j.ijar.2022.07.005; Contributors: Luis Rodriguez-Benitez; Juan Moreno-Garcia; Ester del Castillo-Herrera; Jun Liu; Luis Jimenez-Linares

An Internet of Agents Architecture for Training and Deployment of Deep Convolutional Models; Journal of Signal Processing Systems; 2022-03 | Journal article; DOI: 10.1007/s11265-020-01602-6; Contributors: Luis Rodriguez-Benitez; Carlos Córdoba Ruiz; Luis Cabañero Gómez; Ramón Hervás; Luis Jimenez-Linares

IoT based monitoring of air quality and traffic using regression analysis; Applied Soft Computing; 2022-01 | Journal article; DOI: 10.1016/j.asoc.2021.108282; Contributors: José Ángel Martín-Baos; Luis Rodriguez-Benitez; Ricardo García-Ródenas; Jun Liu

eeglib: A Python module for EEG feature extraction; SoftwareX; 2021-07 | Journal article; DOI: 10.1016/j.softx.2021.100745; Contributors: Luis Cabañero-Gomez; Ramon Hervas; Ivan Gonzalez; Luis Rodriguez-Benitez

Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach; Transportation Letters; 2021-03-16 | Journal article; DOI: 10.1080/19427867.2020.1861504; Contributors: José Ángel Martín-Baos; Ricardo García-Ródenas; Luis Rodriguez-Benitez