Luis G. Baca Ruíz

According to our database, Luis G. Baca Ruíz authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., April, 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., February, 2024

2023

Time series quantum classifiers with amplitude embedding.

Manuel P. Cuéllar, Carlos Cano Gutierrez, Luis G. Baca Ruíz, Lorenzo Servadei

Quantum Mach. Intell., December, 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., November, 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., November, 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., April, 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., March, 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

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

Time Series Forecasting with Quantum Neural Networks.

Manuel P. Cuéllar, Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Carlos Cano Gutierrez

Proceedings of the Advances in Computational Intelligence, 2023

2022

Data Learning: Integrating Data Assimilation and Machine Learning.

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

J. Comput. Sci., 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

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

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

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

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

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

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

2019

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

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

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

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

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

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017

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

Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017