C. Hervás-Martínez

发表

Cooperative coevolution of artificial neural network ensembles for pattern classification

César Hervás-Martínez, Nicolás García-Pedrajas, Domingo Ortiz-Boyer, 2005, IEEE Transactions on Evolutionary Computation.

Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data

Pedro Antonio Gutiérrez, M. Jurado-Expósito, F. López-Granados, 2008 .

Application of artificial intelligence to predictive microbiology.

C. Hervás-Martínez, G. Barbosa‐Cánovas, R. García-Gimeno, 2005 .

Validation of multitask artificial neural networks to model desiccant wheels activated at low temperature

C. Hervás-Martínez, F. Comino, D. Guijo-Rubio, 2019, International Journal of Refrigeration.

Improving artificial neural networks with a pruning methodology and genetic algorithms for their application in microbial growth prediction in food.

César Hervás-Martínez, Rosa María García-Gimeno, C. Hervás-Martínez, 2002, International journal of food microbiology.

The use of a neural network to forecast daily grass pollen concentration in a Mediterranean region: the southern part of the Iberian Peninsula

C. Hervás-Martínez, C. Galán, J. A. Sánchez-Mesa, 2002, Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology.

Methodology for the recognition and diagnosis of student performance by discriminant analysis and artificial neural networks

Pedro Antonio Gutiérrez, C. Hervás-Martínez, J. Sánchez-Monedero, 2010 .

SYMBIONT: a cooperative evolutionary model for evolving artificial neural networks for classification

N. García-Pedrajas, C. Hervás-Martínez, J. Muñoz-Pérez, 2002 .

Validation of artificial neural networks as a methodology for donor‐recipient matching for liver transplantation

M. Pérez-Ortiz, C. Hervás-Martínez, N. Heaton, 2018, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.

Development of a multi-classification neural network model to determine the microbial growth/no growth interface.

Pedro Antonio Gutiérrez, C. Hervás-Martínez, G. Zurera-Cosano, 2010, International journal of food microbiology.

Climate tipping points : Detection and analysis of patterns using an ordinal regression approach Final Report

Pedro Antonio Gutiérrez, M. Pérez-Ortiz, C. Hervás-Martínez, 2014 .

Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2016, CAEPIA.

Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2012, Neural Computing and Applications.

Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2015, Climate Dynamics.

A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Estimation of Microbial Growth Parameters by Means of Artificial Neural Networks

C. Hervás-Martínez, R. García-Gimeno, G. Zurera-Cosano, 2002 .

Modelling the growth of Leuconostoc mesenteroides by Artificial Neural Networks.

C. Hervás-Martínez, R. García-Gimeno, G. Zurera-Cosano, 2005, International journal of food microbiology.

Representing ordinal input variables in the context of ordinal classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Evolutionary Product-Unit Neural Networks for Classification 1

A. C. Martínez-Estudillo, C. Hervás-Martínez, F. Martínez-Estudillo, 2006 .

Year clustering analysis for modelling olive flowering phenology

C. Hervás-Martínez, C. Galán, J. Oteros, 2013, International Journal of Biometeorology.

Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters

Pedro Antonio Gutiérrez, M. P. Dorado, C. Hervás-Martínez, 2018 .

From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier applied to measure the extent of globalisation

C. Hervás-Martínez, Antonio Sianes, M. Dorado-Moreno, 2015, Quality & Quantity.

Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most

C. Hervás-Martínez, Antonio Sianes, M. Dorado-Moreno, 2014 .

On the use of evolutionary time series analysis for segmenting paleoclimate data

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2017, Neurocomputing.

Can Machine Learning Techniques Help to Improve the Common Fisheries Policy?

María Pérez-Ortiz, César Hervás-Martínez, Juan Carlos Fernández, 2013, IWANN.

Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms

César Hervás-Martínez, Mercedes Torres, Francisco Amador, 2005, Comput. Oper. Res..

Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio, 2021, CAEPIA.

A novel deep ordinal classification approach for aesthetic quality control classification

Pedro Antonio Gutiérrez, C. Hervás-Martínez, E. Frontoni, 2022, Neural Computing and Applications.

Prediction of convective clouds formation using evolutionary neural computation techniques

Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, 2020, Neural Computing and Applications.