Missing value imputation on missing completely at random data using multilayer perceptrons. (English)
Neural Netw. 24, No. 1, 121-129 (2011).
1
Predicting the potential habitat of oaks with data mining models and the R system (English)
Environmental Modelling and Software 25, No. 7, 826-836 (2010).
2
Evaluating the performance of the multilayer perceptron as a data editing tool. (English)
Cabestany, Joan (ed.) et al., Bio-inspired systems: Computational and ambient intelligence. 10th international work-conference on artificial neural networks, IWANN 2009, Salamanca, Spain, June 10‒12, 2009. Proceedings. Part I. Berlin: Springer (ISBN 978-3-642-02477-1/pbk). Lecture Notes in Computer Science 5517, 1304-1311 (2009).
3
Evaluating the performance of the multilayer perceptron as a data editing tool (English)
IWANN (1), 1304-1311 (2009).
4
A comparison of classification models to identify the fragile X syndrome. (English)
J. Appl. Stat. 35, No. 3, 233-244 (2008).
5
Non-linear modelling time series from ARIMA Fitting (English)
CIMCA/IAWTIC, 1104-1109 (2005).
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Bagging classification models with reduced bootstrap. (English)
Fred, Ana (ed.) et al., Structural, syntactic, and statistical pattern recognition. Joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18‒20, 2004. Proceedings. Berlin: Springer (ISBN 3-540-22570-6/pbk). Lecture Notes in Computer Science 3138, 966-973 (2004).
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Bagging classification models with reduced bootstrap (English)
SSPR/SPR, 966-973 (2004).
8
Building neural network forecasting models from time series ARIMA models: a procedure and a comparative analysis. (English)
Intell. Data Anal. 6, No. 1, 53-65 (2002).
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