Maria del Carmen Pegalajar Jiménez

27 papers C 1Misc 1Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A data-driven analysis to predict energetic intelligence.
Int. J. Data Sci. Anal.
Luis Gonzaga Baca Ruiz, David Criado-Ramón, María José Serrano-Fernandez, Elena Pérez-Moreiras, Maria del Carmen Pegalajar Jiménez
2025 J jnl
Exploring emotional stability: from conventional approaches to machine learning insights.
Appl. Intell.
Marcos Romero Madroñal, Eduar S. Ramírez, Luis Gonzaga Baca Ruiz, María José Serrano-Fernandez, Elena Pérez-Moreiras, Maria del Carmen Pegalajar Jiménez
2025 J jnl
Exploring multi-objective metaheuristics to optimise resource allocation in energy communities.
Computing
Daniel Vallejo España, Maria Ruxandra Cojocaru, David Criado-Ramón, Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar Jiménez
2023 J jnl
Application of classical and advanced machine learning models to predict personality on social media.
Expert Syst. Appl.
Pablo Sánchez-Fernández, Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar Jiménez
2023 J jnl
Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption.
Mach. Learn. Knowl. Extr.
Marcos Hernández Rodríguez, Luis Gonzaga Baca Ruiz, David Criado-Ramón, Maria del Carmen Pegalajar Jiménez
2023 J jnl
Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques.
Expert Syst. Appl.
Luiza Araujo Costa Silva, Luis Gonzaga Baca Ruiz, David Criado-Ramón, Joao Gabriel Bessa, Leonardo Micheli, Maria del Carmen Pegalajar Jiménez
2020 J jnl
A time-series clustering methodology for knowledge extraction in energy consumption data.
Expert Syst. Appl.
Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar Jiménez, Rossella Arcucci, Miguel Molina-Solana
2020 J jnl
An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling.
Int. J. Approx. Reason.
Ramón Rueda Delgado, Luis G. Baca Ruíz, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez
2020 C conf
Quality of Service in Cloud Computing Environments with Multitenant DBMS.
CLOSER
Manuel I. Capel, Oscar I. Aporta, Maria del Carmen Pegalajar Jiménez
2018 — conf
A Comparison Between NARX Neural Networks and Symbolic Regression: An Application for Energy Consumption Forecasting.
IPMU (3)
Ramón Rueda Delgado, Luis G. Baca Ruíz, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores, Maria del Carmen Pegalajar Jiménez
2012 J jnl
A Compact Optical Instrument with Artificial Neural Network for pH Determination.
Sensors
Sonia Capel-Cuevas, Nuria López-Ruiz, Antonio Martínez-Olmos, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez, Alberto J. Palma, Ignacio de Orbe-Payá, Luis F. Capitán-Vallvey
2011 J jnl
A common framework for information sharing in e-learning management systems.
Expert Syst. Appl.
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2011 J jnl
Improving learning management through semantic web and social networks in e-learning environments.
Expert Syst. Appl.
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2009 — ch.
Multi-Objective Training of Neural Networks.
Encyclopedia of Artificial Intelligence
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2008 J jnl
Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B
Miguel Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez
2007 — conf
Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks.
ICEIS (2)
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2007 Misc conf
Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study.
IWANN
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2006 J jnl
Memetic evolutionary training for recurrent neural networks: an application to time-series prediction.
Expert Syst. J. Knowl. Eng.
Miguel Delgado, Maria del Carmen Pegalajar Jiménez, Manuel P. Cuéllar
2005 J jnl
A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference.
Pattern Recognit.
Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2005 — conf
An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems.
ICEIS (2)
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2004 — conf
A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness.
ICEIS (2)
Manuel P. Cuéllar, A. Navarro, Maria del Carmen Pegalajar Jiménez, Ramón Pérez-Pérez
2004 — conf
An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness.
ICEIS (2)
Manuel P. Cuéllar, Waldo Fajardo, Maria del Carmen Pegalajar Jiménez, Ramón Pérez-Pérez, M. Angeles Gonzales Navarro
2001 J jnl
A real-coded genetic algorithm for training recurrent neural networks.
Neural Networks
Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2001 J jnl
Fuzzy automaton induction using neural network.
Int. J. Approx. Reason.
Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2001 J jnl
Identification of fuzzy dynamic systems using Max-Min recurrent neural networks.
Fuzzy Sets Syst.
Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2001 — conf
Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks.
IWANN (1)
Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez, Ignacio Requena
2000 J jnl
A genetic algorithm to obtain the optimal recurrent neural network.
Int. J. Approx. Reason.
Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez