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Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data., , , and . J. Cheminformatics, 9 (1): 42:1-42:13 (2017)Application of grammar-based codes for lossless compression of digital mammograms., , and . J. Electronic Imaging, 15 (1): 013021 (2006)Laguerre function based multiple model predictive control for nonlinear system., , , and . ICAL, page 389-393. IEEE, (2011)Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition., , , , and . IJCAI, page 3995-4001. AAAI Press, (2015)Efficient modified techniques of invariant energy quadratization approach for gradient flows., and . Appl. Math. Lett., (2019)Comparison of Permutation Entropy Index and Bispectral Index for Monitoring Effects of Anesthetic Drugs to Brain Activity., , and . BMEI, page 1-5. IEEE, (2009)Positive Unlabeled Learning for Data Stream Classification., , , and . SDM, page 259-270. SIAM, (2009)Application of a group search optimization based Artificial Neural Network to machine condition monitoring., and . ETFA, page 1260-1266. IEEE, (2008)Characteristic block-centred finite difference methods for nonlinear convection-dominated diffusion equation., and . Int. J. Comput. Math., 94 (2): 386-404 (2017)On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach., , and . SDM, page 315-323. SIAM, (2016)