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A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks.

, , , and . ICONIP (4), volume 11304 of Lecture Notes in Computer Science, page 336-348. Springer, (2018)

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Evolution of small-world topologies in an artificial genetic regulatory network model., , and . ICNC, page 848-853. IEEE, (2012)Topological Structure Analysis of Developmental Spiking Neural Networks., , and . ICIC (1), volume 10361 of Lecture Notes in Computer Science, page 89-100. Springer, (2017)Supervised Learning Algorithm for Spiking Neurons Based on Nonlinear Inner Products of Spike Trains., , , and . ICIC (2), volume 9772 of Lecture Notes in Computer Science, page 95-104. Springer, (2016)Semi-supervised Microblog Clustering Method via Dual Constraints., , , and . KSEM, volume 9403 of Lecture Notes in Computer Science, page 360-369. Springer, (2015)Supervised learning algorithm based on spike optimization mechanism for multilayer spiking neural networks., , , and . Int. J. Mach. Learn. Cybern., 13 (7): 1981-1995 (2022)Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint., , , and . KSEM (2), volume 11776 of Lecture Notes in Computer Science, page 133-145. Springer, (2019)Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features., , , and . PAKDD (1), volume 11439 of Lecture Notes in Computer Science, page 135-147. Springer, (2019)Access strategies in mmWave cell-free network: A matching and auction theory based approach., , , , , and . Comput. Networks, (2024)Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks., and . ICANN (2), volume 12397 of Lecture Notes in Computer Science, page 634-645. Springer, (2020)Software Defect Prediction with Spiking Neural Networks., , and . ICONIP (5), volume 1333 of Communications in Computer and Information Science, page 660-667. Springer, (2020)