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Comparison of combining methods using Extreme Learning Machines under small sample scenario.

, , and . Neurocomputing, (2016)

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Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks., and . IJCNN, page 2948-2953. IEEE, (2007)A SOM-based approach to estimating product properties from spectroscopic measurements., , , , , and . Neurocomputing, 73 (1-3): 71-79 (2009)A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning., , , and . CoRR, (2019)Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection., , and . IWANN (2), volume 1607 of Lecture Notes in Computer Science, page 596-605. Springer, (1999)Direct and Recursive Prediction of Time Series Using Mutual Information Selection., , , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 1010-1017. Springer, (2005)Discriminant document embeddings with an extreme learning machine for classifying clinical narratives., , , and . Neurocomputing, (2018)Evolving fuzzy Optimally Pruned Extreme Learning Machine: A comparative analysis., and . FUZZ-IEEE, page 1-8. IEEE, (2010)Mutual information for the selection of relevant variables in spectrometric nonlinear modelling, , , , and . CoRR, (2007)LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data., , , , , , and . Neurocomputing, (2015)Parameter-free image segmentation with SLIC., , and . Neurocomputing, (2018)