Luis G. Baca Ruíz
Orcid: 0000-0001-6716-5115Affiliations:
- University of Granada, Spain
According to our database1,
Luis G. Baca Ruíz
authored at least 29 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
Exploring emotional stability: from conventional approaches to machine learning insights.
Appl. Intell., January, 2025
2024
Fine-Tuning Artificial Neural Networks to Predict Pest Numbers in Grain Crops: A Case Study in Kazakhstan.
Mach. Learn. Knowl. Extr., June, 2024
Study of violence against women and its characteristics through the application of text mining techniques.
Int. J. Data Sci. Anal., June, 2024
Int. J. Fuzzy Syst., April, 2024
A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances.
Inf., February, 2024
A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption.
Appl. Soft Comput., 2024
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024
2023
Quantum Mach. Intell., December, 2023
Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques.
Expert Syst. Appl., November, 2023
CUDA-bigPSF: An optimized version of bigPSF accelerated with graphics processing Unit.
Expert Syst. Appl., November, 2023
Application of classical and advanced machine learning models to predict personality on social media.
Expert Syst. Appl., April, 2023
Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption.
Mach. Learn. Knowl. Extr., March, 2023
Application of Fuzzy and Conventional Forecasting Techniques to Predict Energy Consumption in Buildings.
Int. J. Intell. Syst., 2023
Big Data Cogn. Comput., 2023
An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks.
Big Data Cogn. Comput., 2023
Proceedings of the Advances in Computational Intelligence, 2023
2022
J. Comput. Sci., 2022
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming.
Expert Syst. Appl., 2022
Electric demand forecasting with neural networks and symbolic time series representations.
Appl. Soft Comput., 2022
2021
J. Cell. Autom., 2021
Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques.
Int. J. Approx. Reason., 2021
2020
An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling.
Int. J. Approx. Reason., 2020
A Munsell colour-based approach for soil classification using Fuzzy Logic and Artificial Neural Networks.
Fuzzy Sets Syst., 2020
A time-series clustering methodology for knowledge extraction in energy consumption data.
Expert Syst. Appl., 2020
2019
Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem.
Appl. Soft Comput., 2019
2018
Energy consumption forecasting based on Elman neural networks with evolutive optimization.
Expert Syst. Appl., 2018
Artificial Neural Networks and Fuzzy Logic for Specifying the Color of an Image Using Munsell Soil-Color Charts.
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.
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.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017