Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables. - Ramón Rueda Delgado; Luis Gonzaga Baca Ruiz; Patricia Jimeno-Sáez; Manuel Pegalajar Cuéllar; David Pulido-Velazquez; Maria del Carmen Pegalajar (HAIS, 2017)

A Comparison Between NARX Neural Networks and Symbolic Regression: An Application for Energy Consumption Forecasting. - Ramón Rueda Delgado; Luis G. Baca Ruíz; Manuel Pegalajar Cuéllar; Miguel Delgado Calvo-Flores; Maria del Carmen Pegalajar Jiménez (IPMU (3), 2018)

Artificial Neural Networks and Fuzzy Logic for Specifying the Color of an Image Using Munsell Soil-Color Charts. - Maria del Carmen Pegalajar; Manuel Sánchez-Marañón; Luis G. Baca Ruíz; Luis Mansilla; Miguel Delgado 001 (IPMU (1), 2018)

Energy consumption forecasting based on Elman neural networks with evolutive optimization. - Luis Gonzaga Baca Ruiz; Ramón Rueda Delgado; Manuel P. Cuéllar; Maria del Carmen Pegalajar (Expert Syst. Appl., 2018)

Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem. - Luis G. Baca Ruíz; Manuel I. Capel; Manuel P. Cuéllar (Appl. Soft Comput., 2019)

A time-series clustering methodology for knowledge extraction in energy consumption data. - Luis Gonzaga Baca Ruiz; Maria del Carmen Pegalajar Jiménez; Rossella Arcucci; Miguel Molina-Solana (Expert Syst. Appl., 2020)

A Munsell colour-based approach for soil classification using Fuzzy Logic and Artificial Neural Networks. - Maria del Carmen Pegalajar; Luis G. Baca Ruíz; Manuel Sánchez-Marañón; Luis Mansilla (Fuzzy Sets Syst., 2020)

An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling. - Ramón Rueda Delgado; Luis G. Baca Ruíz; Manuel P. Cuéllar; Maria del Carmen Pegalajar Jiménez (Int. J. Approx. Reason., 2020)

Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques. - Manuel Pegalajar Cuéllar; Luis G. Baca Ruíz; Manuel P. Cuéllar; Ramón Rueda Delgado (Int. J. Approx. Reason., 2021)

A Three-valued Logic Approach for Edge Detection Using Cellular Automata. - Manuel P. Cuéllar; Ramón Rueda Delgado; Luis Gonzaga Baca Ruiz; Maria del Carmen Pegalajar (J. Cell. Autom., 2021)

Electric demand forecasting with neural networks and symbolic time series representations. - David Criado-Ramón; Luis G. Baca Ruíz; Manuel P. Cuéllar (Appl. Soft Comput., 2022)

A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming. - Ramón Rueda Delgado; Manuel P. Cuéllar; Luis G. Baca Ruíz; Maria del Carmen Pegalajar (Expert Syst. Appl., 2022)

Data Learning: Integrating Data Assimilation and Machine Learning. - Caterina Buizza; César Quilodrán Casas; Philip Nadler; Julian Mack; Stefano Marrone 002; Zainab Titus; Clémence Le Cornec; Evelyn Heylen; Tolga Hasan Dur; Luis G. Baca Ruíz; Claire E. Heaney; Julio Amador Díaz López; et al. (J. Comput. Sci., 2022)

Time Series Forecasting with Quantum Neural Networks. - Manuel P. Cuéllar; Maria del Carmen Pegalajar; Luis G. Baca Ruíz; Carlos Cano Gutierrez (IWANN (1), 2023)

An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks. - David Criado-Ramón; Luis G. Baca Ruíz; Maria del Carmen Pegalajar (Big Data Cogn. Comput., 2023)

An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People. - Maria del Carmen Pegalajar; Luis G. Baca Ruíz; Elena Pérez-Moreiras; J. Boada-Grau; María José Serrano-Fernandez (Big Data Cogn. Comput., 2023)

Application of Fuzzy and Conventional Forecasting Techniques to Predict Energy Consumption in Buildings. - A. Cabrera; Luis G. Baca Ruíz; David Criado-Ramón; C. D. Barranco; Maria del Carmen Pegalajar (Int. J. Intell. Syst., 2023)

Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption. - Marcos Hernández Rodríguez; Luis Gonzaga Baca Ruiz; David Criado-Ramón; Maria del Carmen Pegalajar Jiménez (Mach. Learn. Knowl. Extr., 2023)

Application of classical and advanced machine learning models to predict personality on social media. - Pablo Sánchez-Fernández; Luis Gonzaga Baca Ruiz; Maria del Carmen Pegalajar Jiménez (Expert Syst. Appl., 2023)

CUDA-bigPSF: An optimized version of bigPSF accelerated with graphics processing Unit. - David Criado-Ramón; Luis G. Baca Ruíz; Manuel P. Cuéllar (Expert Syst. Appl., 2023)

Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques. - Luiza Araujo Costa Silva; Luis Gonzaga Baca Ruiz; David Criado-Ramón; Joao Gabriel Bessa; Leonardo Micheli; Maria del Carmen Pegalajar Jiménez (Expert Syst. Appl., 2023)

Time series quantum classifiers with amplitude embedding. - Manuel P. Cuéllar; Carlos Cano Gutierrez; Luis G. Baca Ruíz; Lorenzo Servadei (Quantum Mach. Intell., 2023)

Implementation of Classical Decision Trees in a Quantum Computing Paradigm. - Manuel P. Cuéllar; Luis Gonzaga Baca Ruiz; M. C. Pegalajar (HAIS (1), 2024)

A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption. - J. R. S. Iruela; Luis G. Baca Ruíz; David Criado-Ramón; Maria del Carmen Pegalajar; Manuel I. Capel (Appl. Soft Comput., 2024)

A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances. - David Criado-Ramón; Luis G. Baca Ruíz; J. R. S. Iruela; Maria del Carmen Pegalajar (Inf., 2024)

An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting. - David Criado-Ramón; Luis G. Baca Ruíz; Maria del Carmen Pegalajar (Int. J. Fuzzy Syst., 2024)

Study of violence against women and its characteristics through the application of text mining techniques. - E. M. A. Stephanie; Luis G. Baca Ruíz; Maria-Amparo Vila; Maria del Carmen Pegalajar (Int. J. Data Sci. Anal., 2024)

Fine-Tuning Artificial Neural Networks to Predict Pest Numbers in Grain Crops: A Case Study in Kazakhstan. - Galiya Anarbekova; Luis Gonzaga Baca Ruiz; Akerke Akanova; Saltanat Sharipova; Nazira Ospanova (Mach. Learn. Knowl. Extr., 2024)

A parallel approach to accelerate neural network hyperparameter selection for energy forecasting. - David Criado-Ramón; Luis G. Baca Ruíz; Maria del Carmen Pegalajar (Expert Syst. Appl., 2025)

Exploring emotional stability: from conventional approaches to machine learning insights. - Marcos Romero Madroñal; Eduar S. Ramírez; Luis Gonzaga Baca Ruiz; María José Serrano-Fernandez; Elena Pérez-Moreiras; Maria del Carmen Pegalajar Jiménez (Appl. Intell., 2025)