Luis G. Baca Ruíz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Energy Consumption

Symbolic Regression

Top Venues

Appl. Soft Comput.

Int. J. Approx. Reason.

Expert Syst. Appl.

Big Data Cogn. Comput.

Publications

E. M. A. Stephanie, Luis G. Baca Ruíz, Maria-Amparo Vila, M. C. Pegalajar
Study of violence against women and its characteristics through the application of text mining techniques. Int. J. Data Sci. Anal. 18 (1) (2024)
J. R. S. Iruela, Luis G. Baca Ruíz, David Criado-Ramón, Maria del Carmen Pegalajar, Manuel I. Capel
A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption. Appl. Soft Comput. 160 (2024)
David Criado-Ramón, Luis G. Baca Ruíz, J. R. S. Iruela, Maria del Carmen Pegalajar
A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances. Inf. 15 (2) (2024)
David Criado-Ramón, Luis G. Baca Ruíz, Maria del Carmen Pegalajar
An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting. Int. J. Fuzzy Syst. 26 (3) (2024)
A. Cabrera, Luis G. Baca Ruíz, David Criado-Ramón, C. D. Barranco, M. C. Pegalajar
Application of Fuzzy and Conventional Forecasting Techniques to Predict Energy Consumption in Buildings. Int. J. Intell. Syst. 2023 (2023)
David Criado-Ramón, Luis G. Baca Ruíz, Maria del Carmen Pegalajar
An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks. Big Data Cogn. Comput. 7 (2) (2023)
Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Elena Pérez-Moreiras, J. Boada-Grau, María José Serrano-Fernandez
An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People. Big Data Cogn. Comput. 7 (2) (2023)
David Criado-Ramón, Luis G. Baca Ruíz, Manuel P. Cuéllar
CUDA-bigPSF: An optimized version of bigPSF accelerated with graphics processing Unit. Expert Syst. Appl. 230 (2023)
Manuel P. Cuéllar, Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Carlos Cano Gutierrez
Time Series Forecasting with Quantum Neural Networks. IWANN (1) (2023)
Manuel P. Cuéllar, Carlos Cano Gutierrez, Luis G. Baca Ruíz, Lorenzo Servadei
Time series quantum classifiers with amplitude embedding. Quantum Mach. Intell. 5 (2) (2023)
Ramón Rueda Delgado, Manuel P. Cuéllar, Luis G. Baca Ruíz, Maria del Carmen Pegalajar
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming. Expert Syst. Appl. 194 (2022)
David Criado-Ramón, Luis G. Baca Ruíz, Manuel P. Cuéllar
Electric demand forecasting with neural networks and symbolic time series representations. Appl. Soft Comput. 122 (2022)
Caterina Buizza, César Quilodrán Casas, Philip Nadler, Julian Mack, Stefano Marrone, Zainab Titus, Clémence Le Cornec, Evelyn Heylen, Tolga Hasan Dur, Luis G. Baca Ruíz, Claire E. Heaney, Julio Amador Díaz López, K. S. Sesh Kumar, Rossella Arcucci
Data Learning: Integrating Data Assimilation and Machine Learning. J. Comput. Sci. 58 (2022)
Manuel Pegalajar Cuéllar, Luis G. Baca Ruíz, Manuel P. Cuéllar, Ramón Rueda Delgado
Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques. Int. J. Approx. Reason. 133 (2021)
Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Manuel Sánchez-Marañón, Luis Mansilla
A Munsell colour-based approach for soil classification using Fuzzy Logic and Artificial Neural Networks. Fuzzy Sets Syst. 401 (2020)
Ramón Rueda Delgado, Luis G. Baca Ruíz, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez
An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling. Int. J. Approx. Reason. 121 (2020)
Luis G. Baca Ruíz, Manuel I. Capel, Manuel P. Cuéllar
Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem. Appl. Soft Comput. 76 (2019)
Ramón Rueda Delgado, Luis G. Baca Ruíz, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores, Maria del Carmen Pegalajar Jiménez
A Comparison Between NARX Neural Networks and Symbolic Regression: An Application for Energy Consumption Forecasting. IPMU (3) (2018)
Maria del Carmen Pegalajar, Manuel Sánchez-Marañón, Luis G. Baca Ruíz, Luis Mansilla, Miguel Delgado
Artificial Neural Networks and Fuzzy Logic for Specifying the Color of an Image Using Munsell Soil-Color Charts. IPMU (1) (2018)