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Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective., , , , and . J. Digital Imaging, 31 (4): 387-392 (2018)Knowledge representation using fuzzy spiking neural P system., , , and . BIC-TA, page 586-590. IEEE, (2010)On Small Universality of Spiking Neural P Systems with Multiple Channels., , , , , , and . Int. Conf. on Membrane Computing, volume 11399 of Lecture Notes in Computer Science, page 229-245. Springer, (2018)A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network., , , and . ICCSE, page 771-774. IEEE, (2019)A Strategy of Maximizing the Sum of Weighted Margins for Ranking Multi Classification Problem., , , and . ICARCV, page 1-5. IEEE, (2006)A robust position controller design for PM synchronous motor using neural network., and . ICARCV, page 2134-2138. IEEE, (2004)An unsupervised learning algorithm for membrane computing., , , and . Inf. Sci., (2015)Adaptive fuzzy spiking neural P systems for fuzzy inference and learning., and . Int. J. Comput. Math., 90 (4): 857-868 (2013)Matrix Representation of Parallel Computation for Spiking Neural P Systems., , , , , and . BIC-TA (1), volume 681 of Communications in Computer and Information Science, page 187-199. Springer, (2016)Fault Diagnosis of Power Systems Based on Triangular Fuzzy Spiking Neural P Systems., , , , , and . BIC-TA (1), volume 681 of Communications in Computer and Information Science, page 385-398. Springer, (2016)