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A Neural Network Computational Model of Visual Selective Attention., , , и . EANN, том 43 из Communications in Computer and Information Science, стр. 350-358. (2009)Neural networks to estimate the risk for preeclampsia occurrence., , , , и . IJCNN, стр. 2221-2225. IEEE Computer Society, (2009)Artificial Neural Network Learning: A Comparative Review., и . SETN, том 2308 из Lecture Notes in Computer Science, стр. 300-313. Springer, (2002)Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities., , , и . IJCNN, стр. 1955-1958. IEEE, (2011)Important issues to be considered in developing fuzzy cognitive maps., , и . FUZZ-IEEE, стр. 662-665. IEEE, (2011)Cognitive Modeling of Dilution Effects in Visual Search., , , и . ICONIP (1), том 7663 из Lecture Notes in Computer Science, стр. 76-83. Springer, (2012)Artificial Neural Networks to Investigate the Importance and the Sensitivity to Various Parameters Used for the Prediction of Chromosomal Abnormalities., , , , , , и . AIAI (2), том 382 из IFIP Advances in Information and Communication Technology, стр. 46-55. Springer, (2012)Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization., , , , и . IJCNN, стр. 3704-3708. IEEE, (2017)A Generic Tool for Building Fuzzy Cognitive Map Systems., , , , , и . AIAI, том 339 из IFIP Advances in Information and Communication Technology, стр. 45-52. Springer, (2010)On the Claim for the Existence of Ädversarial Examples" in Deep Learning Neural Networks., и . IJCCI (NCTA), стр. 306-309. SciTePress, (2014)