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ORCIDMaria del Carmen Pegalajar Jiménez
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2020 – today
- 2024
[j30]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: 111711 (2024)- [j29]E. M. A. Stephanie, Luis G. Baca Ruíz, Maria-Amparo Vila, Maria del Carmen Pegalajar:
Study of violence against women and its characteristics through the application of text mining techniques. Int. J. Data Sci. Anal. 18(1): 35-48 (2024) - [j28]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): 703-717 (2024) - [j27]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): 87 (2024) - [j26]Manuel P. Cuéllar, Maria del Carmen Pegalajar, C. Cano:
Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning. Quantum Inf. Process. 23(5): 179 (2024) - 2023
- [j25]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): 67 (2023) - [j24]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): 92 (2023) - [j23]Pablo Sánchez-Fernández, Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar Jiménez:
Application of classical and advanced machine learning models to predict personality on social media. Expert Syst. Appl. 216: 119498 (2023) - [j22]Luiza Araujo Costa Silva, Luis Gonzaga Baca Ruiz, David Criado-Ramón, Joao Gabriel Bessa, Leonardo Micheli, Maria del Carmen Pegalajar Jiménez:
Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques. Expert Syst. Appl. 231: 120816 (2023) - [j21]A. Cabrera, Luis G. Baca Ruíz, David Criado-Ramón, C. D. Barranco, Maria del Carmen Pegalajar:
Application of Fuzzy and Conventional Forecasting Techniques to Predict Energy Consumption in Buildings. Int. J. Intell. Syst. 2023: 1-12 (2023) - [j20]Marcos Hernández Rodríguez, Luis Gonzaga Baca Ruiz, David Criado-Ramón, Maria del Carmen Pegalajar Jiménez:
Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption. Mach. Learn. Knowl. Extr. 5(2): 431-447 (2023) - [c13]Manuel P. Cuéllar, Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Carlos Cano Gutierrez:
Time Series Forecasting with Quantum Neural Networks. IWANN (1) 2023: 666-677 - 2022
- [j19]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: 116415 (2022) - 2021
- [j18]Manuel P. Cuéllar, Ramón Rueda Delgado, Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar:
A Three-valued Logic Approach for Edge Detection Using Cellular Automata. J. Cell. Autom. 15(5-6): 407-438 (2021) - 2020
- [j17]Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar Jiménez, Rossella Arcucci, Miguel Molina-Solana:
A time-series clustering methodology for knowledge extraction in energy consumption data. Expert Syst. Appl. 160: 113731 (2020) - [j16]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: 38-54 (2020) - [j15]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: 23-38 (2020) - [c12]Manuel I. Capel, Oscar I. Aporta, Maria del Carmen Pegalajar Jiménez:
Quality of Service in Cloud Computing Environments with Multitenant DBMS. CLOSER 2020: 506-514
2010 – 2019
- 2019
- [j14]Ramón Rueda Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar, M. Delgado:
Straight line programs for energy consumption modelling. Appl. Soft Comput. 80: 310-328 (2019) - 2018
- [j13]Luis Gonzaga Baca Ruiz, Ramón Rueda Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar:
Energy consumption forecasting based on Elman neural networks with evolutive optimization. Expert Syst. Appl. 92: 380-389 (2018) - [c11]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: 16-27 - [c10]J. R. Sanchez, Manuel I. Capel, Celina Jiménez, Gonzalo Rodriguez-Fraile, Maria del Carmen Pegalajar:
Personality Determination of an Individual Through Neural Networks. IPMU (1) 2018: 52-61 - [c9]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: 699-709 - 2017
- [c8]Ramón Rueda Delgado, Luis Gonzaga Baca Ruiz, Patricia Jimeno-Sáez, Manuel Pegalajar Cuéllar, David Pulido-Velazquez, Maria del Carmen Pegalajar:
Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables. HAIS 2017: 447-458 - [c7]Ramón Rueda Delgado, Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar:
Preliminary Evaluation of Symbolic Regression Methods for Energy Consumption Modelling. ICPRAM 2017: 39-49 - 2014
- [j12]Manuel P. Cuéllar, Maria del Carmen Pegalajar:
Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers. Comput. Appl. Eng. Educ. 22(1): 153-166 (2014) - 2012
- [j11]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:
A Compact Optical Instrument with Artificial Neural Network for pH Determination. Sensors 12(5): 6746-6763 (2012) - 2011
- [j10]Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
A common framework for information sharing in e-learning management systems. Expert Syst. Appl. 38(3): 2260-2270 (2011) - [j9]Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
Improving learning management through semantic web and social networks in e-learning environments. Expert Syst. Appl. 38(4): 4181-4189 (2011)
2000 – 2009
- 2009
- [r1]Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
Multi-Objective Training of Neural Networks. Encyclopedia of Artificial Intelligence 2009: 1152-1158 - 2008
- [j8]Miguel Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez:
Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks. IEEE Trans. Syst. Man Cybern. Part B 38(2): 381-403 (2008) - 2007
- [c6]Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks. ICEIS (2) 2007: 204-211 - [c5]Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study. IWANN 2007: 359-366 - 2006
- [j7]Miguel Delgado, Maria del Carmen Pegalajar Jiménez, Manuel P. Cuéllar:
Memetic evolutionary training for recurrent neural networks: an application to time-series prediction. Expert Syst. J. Knowl. Eng. 23(2): 99-115 (2006) - 2005
- [j6]Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference. Pattern Recognit. 38(9): 1444-1456 (2005) - [c4]Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems. ICEIS (2) 2005: 35-42 - 2004
- [c3]Manuel P. Cuéllar, Waldo Fajardo, Maria del Carmen Pegalajar Jiménez, Ramón Pérez-Pérez, M. Angeles Gonzales Navarro:
An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness. ICEIS (2) 2004: 457-460 - [c2]Manuel P. Cuéllar, A. Navarro, Maria del Carmen Pegalajar Jiménez, Ramón Pérez-Pérez:
A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness. ICEIS (2) 2004: 461-464 - 2001
- [j5]Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
Identification of fuzzy dynamic systems using Max-Min recurrent neural networks. Fuzzy Sets Syst. 122(3): 451-467 (2001) - [j4]Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
Fuzzy automaton induction using neural network. Int. J. Approx. Reason. 27(1): 1-26 (2001) - [j3]Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
A real-coded genetic algorithm for training recurrent neural networks. Neural Networks 14(1): 93-105 (2001) - [c1]Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez, Ignacio Requena:
Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks. IWANN (1) 2001: 285-292 - 2000
- [j2]Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
A genetic algorithm to obtain the optimal recurrent neural network. Int. J. Approx. Reason. 23(1): 67-83 (2000) - [j1]Armando Blanco, Miguel Delgado, Maria del Carmen Pegalajar:
Extracting rules from a (fuzzy/crisp) recurrent neural network using a self-organizing map. Int. J. Intell. Syst. 15(7): 595-621 (2000)
Coauthor Index
aka: Manuel Pegalajar Cuéllar
aka: Miguel Delgado Calvo-Flores
aka: Luis Gonzaga Baca Ruiz
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