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Gaussian derivative models and ensemble extreme learning machine for texture image classification.

, , , , , , , and . Neurocomputing, (2018)

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Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions., and . IJCNN, page 2812-2816. IEEE, (2007)Gaussian Fitting Based FDA for Chemometrics., and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 186-193. Springer, (2007)Non-parametric Residual Variance Estimation in Supervised Learning., , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 63-71. Springer, (2007)Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps, , , , and . CoRR, (2007)Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks., , , , and . CoRR, (2017)Clinical narrative classification using discriminant word embeddings with ELM., , , and . IJCNN, page 2931-2938. IEEE, (2016)Fuzzy inference based autoregressors for time series prediction using nonparametric residual variance estimation., , and . FUZZ-IEEE, page 613-618. IEEE, (2008)Extreme learning machines for soybean classification in remote sensing hyperspectral images., , , , and . Neurocomputing, (2014)Effect of different detrending approaches on computational intelligence models of time series., and . IJCNN, page 1-8. IEEE, (2010)Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation., and . IDA, volume 8207 of Lecture Notes in Computer Science, page 162-173. Springer, (2013)