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Support vector machine based liver cancer early detection using magnetic resonance images.

, , and . ICARCV, page 861-864. IEEE, (2014)

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Training deep neural networks with discrete state transition., , , , , , and . Neurocomputing, (2018)Direct Training for Spiking Neural Networks: Faster, Larger, Better., , , , , and . AAAI, page 1311-1318. AAAI Press, (2019)GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework., , , , and . Neural Networks, (2018)Analysis of the Features Extracted from Sequence for Prediction of Protein's Subcellular Localization Using Fourier Transform., and . ICDM (Posters), page 135-143. (2006)Extracting Features from Gene Ontology for the Identification of Protein Subcellular Location by Semantic Similarity Measurement., and . PAKDD Workshops, volume 4819 of Lecture Notes in Computer Science, page 112-118. Springer, (2007)Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning., , , , , and . IJCAI, page 3207-3213. ijcai.org, (2021)Bridging adversarial samples and adversarial networks., , , , and . CoRR, (2019)Real-time tracking based on neuromrophic vision., , and . NVMTS, page 1-7. IEEE, (2015)Iterative identification of block-oriented nonlinear systems based on biconvex optimization., , , and . Syst. Control. Lett., (2015)SysML Aided Safety Analysis for Safety-Critical Systems., and . AICI (1), volume 7002 of Lecture Notes in Computer Science, page 270-275. Springer, (2011)