Maria del Carmen Pegalajar Jiménez
Orcid: 0000-0001-9408-6770
According to our database1,
Maria del Carmen Pegalajar Jiménez
authored at least 44 papers
between 2000 and 2024.
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Bibliography
2024
Study of violence against women and its characteristics through the application of text mining techniques.
Int. J. Data Sci. Anal., June, 2024
Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning.
Quantum Inf. Process., May, 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
2023
Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques.
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
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming.
Expert Syst. Appl., 2022
2021
J. Cell. Autom., 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
Proceedings of the 10th International Conference on Cloud Computing and Services Science, 2020
2019
2018
Energy consumption forecasting based on Elman neural networks with evolutive optimization.
Expert Syst. Appl., 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 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
Preliminary Evaluation of Symbolic Regression Methods for Energy Consumption Modelling.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
2014
Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers.
Comput. Appl. Eng. Educ., 2014
2012
Sensors, 2012
2011
Improving learning management through semantic web and social networks in e-learning environments.
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
2008
IEEE Trans. Syst. Man Cybern. Part B, 2008
2007
Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study.
Proceedings of the Computational and Ambient Intelligence, 2007
Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks.
Proceedings of the ICEIS 2007, 2007
2006
Memetic evolutionary training for recurrent neural networks: an application to time-series prediction.
Expert Syst. J. Knowl. Eng., 2006
2005
A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference.
Pattern Recognit., 2005
An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems.
Proceedings of the ICEIS 2005, 2005
2004
A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness.
Proceedings of the ICEIS 2004, 2004
An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness.
Proceedings of the ICEIS 2004, 2004
2001
Neural Networks, 2001
Fuzzy Sets Syst., 2001
Proceedings of the Connectionist Models of Neurons, 2001
2000
Extracting rules from a (fuzzy/crisp) recurrent neural network using a self-organizing map.
Int. J. Intell. Syst., 2000
Int. J. Approx. Reason., 2000