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Total least squares for block training of neural networks., and . Neurocomputing, 25 (1-3): 213-217 (1999)Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares., and . Signal Process., 91 (4): 1066-1070 (2011)New feature extraction approach for epileptic EEG signal detection using time-frequency distributions., , , and . Medical Biol. Eng. Comput., 48 (4): 321-330 (2010)Optimization of AMS using Weighted AUC optimized models., and . HEPML@NIPS, volume 42 of JMLR Workshop and Conference Proceedings, page 109-127. JMLR.org, (2014)Weighted least squares training of support vector classifiers leading to compact and adaptive schemes., , , and . IEEE Trans. Neural Networks, 12 (5): 1047-1059 (2001)Dimensionality reduction for EEG classification using Mutual Information and SVM., , and . MLSP, page 1-6. IEEE, (2011)Distributed Nonlinear Semiparametric Support Vector Machine for Big Data Applications on Spark Frameworks., and . IEEE Trans. Syst. Man Cybern. Syst., 50 (11): 4664-4675 (2020)Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data., and . IET Signal Process., 6 (2): 99-106 (2012)Growing support vector classifiers with controlled complexity., , , , and . Pattern Recognit., 36 (7): 1479-1488 (2003)I-Gaia: an information processing layer for the DIET platform., , , , , , , , , and . AAMAS, page 1272-1279. ACM, (2002)