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Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors., , , , , and . Neurocomputing, 73 (4-6): 622-632 (2010)Purity Filtering: An Instance Selection Method for Support Vector Machines., and . SGAI Conf., volume 11927 of Lecture Notes in Computer Science, page 21-35. Springer, (2019)Averaging of kernel functions., and . Neurocomputing, (2013)Off-the-Grid: Fast and Effective Hyperparameter Search for Kernel Clustering., and . ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 399-415. Springer, (2020)A New Kernelized Associative Memory and Some of Its Applications., and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 311-319. IOS Press, (2016)Learning in Feed-Forward Artificial Neural Networks II.. Encyclopedia of Artificial Intelligence, IGI Global, (2009)Feature Selection for Microarray Gene Expression Data using Simulated Annealing guided by the Multivariate Joint Entropy, and . CoRR, (2013)Review and Evaluation of Feature Selection Algorithms in Synthetic Problems, and . CoRR, (2011)Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data., and . CIBB, volume 7548 of Lecture Notes in Computer Science, page 83-97. Springer, (2011)A kernel extension to handle missing data., and . SGAI Conf., page 165-178. Springer, (2009)