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ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks., , , , , , , and . Inf. Sci., (2022)Leaf recognition using convolutional neural networks based features., , , , and . Multim. Tools Appl., 82 (1): 777-801 (2023)CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition., , , , , , , , , and 1 other author(s). CoRR, (2024)DPER: Efficient Parameter Estimation for Randomly Missing Data., , , , and . CoRR, (2021)SeArch: A Collaborative and Intelligent NIDS Architecture for SDN-Based Cloud IoT Networks., , , , , and . IEEE Access, (2019)Deep Q-Learning with Multiband Sensing for Dynamic Spectrum Access., , , , and . DySPAN, page 1-5. IEEE, (2018)Fast learning rates with heavy-tailed losses, , , and . NIPS, (2016)Posterior concentration and fast convergence rates for generalized Bayesian learning., , , and . CoRR, (2021)An Effective Leaf Recognition Using Convolutional Neural Networks Based Features., , , , and . CoRR, (2021)An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator., , , , and . CoRR, (2021)