Cite

Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992). A training algorithm for optimal margin classifiers. In D. Haussler (Ed.), 5th Annual ACM Workshop on Computational Learning Theory (pp. 144-152). Pittsburgh, PA, USA: ACM Press.Search in Google Scholar

Breiman, L. (2001). Random Forests. Machine Learning, 45(1), 5-32.10.1023/A:1010933404324Search in Google Scholar

Kohonen, T. (1982). Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics, 43, 59-69.10.1007/BF00337288Search in Google Scholar

Kohonen, T. (1988). Self-organization and associative memory (2nd ed.). NY, USA: Springer-Verlag.10.1007/978-3-662-00784-6Search in Google Scholar

Li, S., Harner, E. J., & Adjeroh, D. A. (2011). Random KNN feature selection - a fast and stable alternative to Random Forests. BMC Bioinformatics. 12, 450. DOI:10.1186/1471-2105-12-450.10.1186/1471-2105-12-450Search in Google Scholar

Malinowski, P., Milewski, R., Ziniewicz, P., Milewska, A. J., Czerniecki, J., & Wołczyński, S. (2013). Classification issue in the IVF ICSI/ET data anal- ysis: early treatment outcome prognosis. Studies in Logic, Grammar and Rhetoric. Logical, Statistical and Computer Methods in Medicine, 33(45), 103-115.10.2478/slgr-2013-0034Search in Google Scholar

Milewska, A. J., Jankowska, D., Cwalina, U., Więsak, T., Citko, D., Morgan, A., & Milewski, R. (2013). Analyzing Outcomes of Intrauterine Insemination Treatment by Application of Cluster Analysis or Kohonen Neural Networks. Studies in Logic, Grammar and Rhetoric. Logical, Statistical and Computer Methods in Medicine, 35(48), 7-25.10.2478/slgr-2013-0041Search in Google Scholar

Milewski, R., Jamiołkowski, J., Milewska, A. J., Domitrz, J., Szamatowicz, J., & Wołczyński, S. (2009a). Prognozowanie skuteczności procedury IVF ICSI/ET - wśrod pacjentek Kliniki Rozrodczości i Endokrynologii Gineko- logicznej - z wykorzystaniem sieci neuronowych. Ginekologia Polska, 80(12), 900-906.Search in Google Scholar

Milewski, R., Jamiołkowski, J., Milewska, A. J., Domitrz, J., & Wołczyński, S. (2009b). The system of electronic registration of information about patients treated for infertility with the IVF ICSI/ET method. Studies in Logic, Gram- mar and Rhetoric, 17(30), 225-239.Search in Google Scholar

Milewski, R., Malinowski, P., Milewska, A. J., Czerniecki, J., Ziniewicz, P., & Wołczyński, S. (2011). Nearest neighbor concept in the study of IVF ICSI/ET treatment effectiveness. Studies in Logic, Grammar and Rhetoric. Logical, Statistical and Computer Methods in Medicine, 25(38), 49-57.Search in Google Scholar

Milewski, R., Malinowski, P., Milewska, A. J., Ziniewicz, P., Czerniecki, J., Pierzyński, P., & Wołczyński, S. (2012). Classification issue in the IVF ICSI/ET data analysis. Studies in Logic, Grammar and Rhetoric. Logical, Statistical and Computer Methods in Medicine, 29(42), 75-85.Search in Google Scholar

Milewski, R., Malinowski, P., Milewska, A. J., Ziniewicz, P., & Wołczyński, S. (2010). The usage of margin-based feature selection algorithm in IVF ICSI/ET data analysis. Studies in Logic, Grammar and Rhetoric. Logical, Statistical and Computer Methods in Medicine, 21(34), 35-46.Search in Google Scholar

Milewski, R., Milewska, A. J., Czerniecki, J., Leśniewska, M., & Wołczyński, S. (2013). Analysis of the demographic profile of patients treated for infertil- ity using assisted reproductive techniques in 2005-2010. Ginekologia Polska. 84(7), 609-614.10.17772/gp/1612Search in Google Scholar

Rumelhart, D. E., Hinton, G. E., &Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323(6088), 533-536.Search in Google Scholar

Siristatidis, Ch., Pouliakis, A., Chrelias, Ch., & Kassanos, D. (2011). Artificial In- telligence in IVF: A Need. Systems Biology in Reproductive Medicine, 57(4), 179-185.10.3109/19396368.2011.558607Search in Google Scholar

Stekhoven, D. J., & B¨uhlmann, P. (2012). MissForest - non-parametric missing value imputation for mixed-type data. Bioinformatics, 28(1), 112-118.10.1093/bioinformatics/btr597Search in Google Scholar

Templ, M., Alfons, A., Kowarik, A., & Prantner, B. (2013). VIM: Visualization and Imputation of Missing Values. R package version 3.0.3.1. Retrieved from http://cran.r-project.org/package=VIM.Search in Google Scholar

Uyar, A., Bener, A., Ciray, H. N., & Bahceci,M. (2009). A frequency based encoding technique for transformation of categorical variables in mixed IVF dataset. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 6214-6217). Minneapolis, USA.10.1109/IEMBS.2009.5334548Search in Google Scholar

eISSN:
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