Alberto Prieto

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Ignacio RojasProfessor of Computer Architecture and Computer Technology. University of GranadaVerified email at ugr.es
Julio OrtegaUniversity GranadaVerified email at ugr.es
Hector PomaresUniversity of GranadaVerified email at ugr.es
Juan J. Merelo GuervósUniversity of GranadaVerified email at ugr.es
Eduardo RosUniversity of Granada (UGR)Verified email at ugr.es
Jesús González PeñalverCatedrático de Universidad, Universidad de GranadaVerified email at ugr.es
Pedro A. Castillo-ValdiviesoUniversidad de GranadaVerified email at ugr.es
Antonio F. Díaz GarcíaProfessor of Computer Architecture and Computer Technology. Universidad de Granada (CITIC, ATC)Verified email at ugr.es
BEATRIZ PRIETODepartment of computer engineering, automatics and robotics, au, University of Granada (UGR)Verified email at go.ugr.es
Jose Luis Bernier VillamorUniversity of GranadaVerified email at ugr.es
Antonio Cañas VargasUniversity of GranadaVerified email at ugr.es
Gustavo Romero LópezProfesor colaborador (UGR)Verified email at ugr.es
Víctor Manuel Rivas SantosProfessor of Computer Science, University of JaenVerified email at ujaen.es
Olga ValenzuelaUniversidad de GranadaVerified email at ugr.es
Luis J HerreraDepartament of Computer Engineering, Automatics and Robotics. University of GranadaVerified email at ugr.es
Andrés OrtizFull Professor at University of Málaga. BioSiP LabVerified email at ic.uma.es
Miguel DamasCatedrático Universidad de GranadaVerified email at ugr.es
Federico MoranProfessor of Biochemistry, Universidad Complutense MadridVerified email at ucm.es
Alberto GuillénUniversity of Granada, University of JaénVerified email at ugr.es
Manuel Rodríguez-ÁlvarezUniversidad de GranadaVerified email at ugr.es

Alberto Prieto

Emeritus Professor de Aquitectura de Computadores (UGR)

Verified email at ugr.es - Homepage

Computer Engineering Intelligence Systems Neural Networks e-learning Green Computing.


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Neural networks: An overview of early research, current frameworks and new challenges A Prieto, B Prieto, EM Ortigosa, E Ros, F Pelayo, J Ortega, I Rojas Neurocomputing 214, 242-268, 2016	421	2016
Introducción a la informática A Prieto, A Lloris, JC Torres e-libro, Corp., 2006	244*	2006
Introducción a la Informática A Prieto, A Lloris, JC Torres McGraw-Hill, 1989	244	1989
Organización y arquitectura de computadores, 7th Edt. W Stallings, A Prieto, A Cañas, B Prieto, FJ Pelayo, J Ortega PEARSON EDUCACIÓN, S.A., Madrid, 2005. Translators: Prieto, Alberto; Cañas …, 2006	238*	2006
G-Prop: Global optimization of multilayer perceptrons using GAs PA Castillo, JJ Merelo, A Prieto, V Rivas, G Romero Neurocomputing 35 (1-4), 149-163, 2000	225	2000
Time series analysis using normalized PG-RBF network with regression weights I Rojas, H Pomares, JL Bernier, J Ortega, B Pino, FJ Pelayo, A Prieto Neurocomputing 42 (1-4), 267-285, 2002	196	2002
Self-organized fuzzy system generation from training examples I Rojas, H Pomares, J Ortega, A Prieto IEEE transactions on fuzzy systems 8 (1), 23-36, 2000	196	2000
A new clustering technique for function approximation J González, H Rojas, J Ortega, A Prieto IEEE Transactions on Neural Networks 13 (1), 132-142, 2002	183	2002
Daily living activity recognition based on statistical feature quality group selection O Banos, M Damas, H Pomares, A Prieto, I Rojas Expert Systems with Applications 39 (9), 8013-8021, 2012	166	2012
Proteinotopic feature maps JJ Merelo, MA Andrade, A Prieto, F Morán Neurocomputing 6 (4), 443-454, 1994	159	1994
A systematic approach to a self-generating fuzzy rule-table for function approximation H Pomares, I Rojas, J Ortega, J Gonzalez, A Prieto IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 30 …, 2000	139	2000
New Trends in Neural Computation, J Mira, J Cabestany, A Prieto International Workshop on Artificial Neural Networks, IWANN '93, Sitges …, 1993	129*	1993
Recursive prediction for long term time series forecasting using advanced models LJ Herrera, H Pomares, I Rojas, A Guillén, A Prieto, O Valenzuela Neurocomputing 70 (16-18), 2870-2880, 2007	102	2007
Evolving multilayer perceptrons PA Castillo, J Carpio, JJ Merelo, A Prieto, V Rivas, G Romero Neural Processing Letters 12, 115-128, 2000	98	2000
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy LJ Herrera, H Pomares, I Rojas, O Valenzuela, A Prieto Fuzzy sets and systems 153 (3), 403-427, 2005	95	2005
Separation of sources: A geometry-based procedure for reconstruction of n-valued signals CG Puntonet, A Prieto, C Jutten, M Rodriguez-Alvarez, J Ortega Signal Processing 46 (3), 267-284, 1995	86	1995
Statistical analysis of the parameters of a neuro-genetic algorithm PA Castillo-Valdivieso, JJ Merelo, A Prieto, I Rojas, G Romero IEEE Transactions on Neural Networks 13 (6), 1374-1394, 2002	85	2002
Structure identification in complete rule-based fuzzy systems H Pomares, I Rojas, J González, A Prieto IEEE transactions on fuzzy systems 10 (3), 349-359, 2002	85	2002
Neural net approach for blind separation of sources based on geometric properties CG Puntonet, A Prieto Neurocomputing 18 (1-3), 141-164, 1998	82	1998
A quantitative study of fault tolerance, noise immunity, and generalization ability of MLPs JL Bernier, J Ortega, E Ros, I Rojas, A Prieto Neural Computation 12 (12), 2941-2964, 2000	81	2000

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