María Dolores Pérez Godoy
María Dolores Pérez Godoy
Profesor de Informática (UJA)
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Citado por
A methodology for applying k-nearest neighbor to time series forecasting
F Martínez, MP Frías, MD Pérez, AJ Rivera
Artificial Intelligence Review 52 (3), 2019
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
MD Pérez-Godoy, A Fernández, AJ Rivera, MJ del Jesus
Pattern Recognition Letters 31 (15), 2375-2388, 2010
MEFASD-BD: multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments-a mapreduce solution
F Pulgar-Rubio, AJ Rivera-Rivas, MD Pérez-Godoy, P González, ...
Knowledge-Based Systems 117, 70-78, 2017
Is the average photon energy a unique characteristic of the spectral distribution of global irradiance?
G Nofuentes, CA Gueymard, J Aguilera, MD Pérez-Godoy, F Charte
Solar Energy 149, 32-43, 2017
Training algorithms for radial basis function networks to tackle learning processes with imbalanced data-sets
MD Pérez-Godoy, AJ Rivera, CJ Carmona, MJ del Jesus
Applied Soft Computing 25, 26-39, 2014
Dealing with seasonality by narrowing the training set in time series forecasting with kNN
F Martínez, MP Frías, MD Pérez-Godoy, AJ Rivera
Expert systems with applications 103, 38-48, 2018
CO 2 RBFN: an evolutionary cooperative–competitive RBFN design algorithm for classification problems
MD Perez-Godoy, AJ Rivera, FJ Berlanga, MJ Del Jesus
Soft Computing 14 (9), 953-971, 2010
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass
F Charte, I Romero, MD Pérez-Godoy, AJ Rivera, E Castro
Computers & Chemical Engineering 101, 23-30, 2017
CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price
MD Pérez-Godoy, P Pérez-Recuerda, MP Frías, AJ Rivera, CJ Carmona, ...
Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), 113-125, 2010
CoEvRBFN: an approach to solving the classification problem with a hybrid cooperative-coevolutive algorithm
MD Pérez-Godoy, AJ Rivera, MJ Del Jesus, I Rojas
International Work-Conference on Artificial Neural Networks, 324-332, 2007
A preliminary study of the effect of feature selection in evolutionary RBFN design
MD Perez-Godoy, JJ Aguilera, FJ Berlanga, VM Rivas, AJ Rivera
Proceedings of information processing and management of uncertainty in …, 2008
Recognition of activities in resource constrained environments; reducing the computational complexity
M Espinilla, A Rivera, MD Pérez-Godoy, J Medina, L Martínez, C Nugent
Ubiquitous computing and ambient intelligence, 64-74, 2016
CO 2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market
MD Pérez-Godoy, P Pérez, AJ Rivera, MJ del Jesus, CJ Carmona, ...
International Journal of Hybrid Intelligent Systems 7 (1), 75-87, 2010
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification
AJ Rivera, F Charte, MD Pérez-Godoy, MJ del Jesus
International Work-Conference on Artificial Neural Networks, 41-48, 2011
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods
AJ Rivera, P Pérez-Recuerda, MD Pérez-Godoy, MJ Del Jesús, MP Frías, ...
Applied Intelligence 34 (3), 331-346, 2011
The influence of noise on the evolutionary fuzzy systems for subgroup discovery
J Luengo, AM García-Vico, MD Pérez-Godoy, CJ Carmona
Soft Computing 20 (11), 4313-4330, 2016
Co2rbfn: predicción de series temporales con un enfoque cooperativo-̃́ competitivo
M Pérez-Godoy, P Pérez, A Rivera, M Del Jesus, PL López
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design
PL López, AJ Rivera, MD Pérez-Godoy, MJ del Jesus, C Carmona
International Work-Conference on Artificial Neural Networks, 752-759, 2009
GenRBFNSpark: A first implementation in Spark of a genetic algorithm to RBFN design
AJ Rivera, MD Pérez-Godoy, F Pulgar, MJ Jesus
An analysis of technological frameworks for data streams
F Puentes, MD Pérez-Godoy, P González, MJ Del Jesus
Progress in Artificial Intelligence 9 (3), 239-261, 2020
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