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Selection of Models for Time Series Prediction via Meta-Learning., and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 74-83. IOS Press, (2002)Meta-learning approaches to selecting time series models., and . Neurocomputing, (2004)Progress in intelligent systems design., and . Neurocomputing, (2016)Semantic mapping and K-means applied to hybrid SOM-based document organization system construction., and . SAC, page 1112-1116. ACM, (2008)River Flow Forecasting with Constructive Neural Network., , and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 1031-1036. Springer, (2005)Active selection of training instances for a random forest meta-learner., , , and . IJCNN, page 1-7. IEEE, (2013)Active Generation of Training Examples in Meta-Regression., and . ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 30-39. Springer, (2009)Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss., , , , , and . CoRR, (2019)Design of Experiments in Neuro-Fuzzy Systems., , and . International Journal of Computational Intelligence and Applications, 9 (2): 137-152 (2010)SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation., , , , , and . IJCNN, page 1-6. IEEE, (2018)