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Towards neural network-based design of radiofrequency low-noise amplifiers., , and . ISCAS, page 2741-2744. IEEE, (2012)Lobe asymmetry-based automatic classification of brain magnetic resonance images., and . ISCAS, page 1516-1519. IEEE, (2013)RF-LNA circuit synthesis using an array of artificial neural networks with constrained inputs., , and . ISCAS, page 573-576. IEEE, (2015)Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding., and . ISCAS, page 806-809. IEEE, (2015)Particle swarm classification: A survey and positioning., , and . Pattern Recognition, 46 (7): 2028-2044 (2013)Using Efficient Machine-Learning Models to Assess Two Important Quality Factors: Maintainability and Reusability., , and . IWSM/Mensura, page 170-177. IEEE Computer Society, (2011)A Fuzzy Logic Framework to Improve the Performance and Interpretation of Rule-Based Quality Prediction Models for OO Software., , , , and . COMPSAC, page 131-138. IEEE Computer Society, (2002)Hybrid Wiener and partial differential equations filter for biomedical image denoising., and . NEWCAS, page 1-4. IEEE, (2016)BAM Learning of Nonlinearly Separable Tasks by Using an Asymmetrical Output Function and Reinforcement Learning., , and . IEEE Trans. Neural Networks, 20 (8): 1281-1292 (2009)A comparison of four PDE-spatial denoising systems for molecular images., and . LASCAS, page 1-4. IEEE, (2017)