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Particle swarm optimization for hyper-parameter selection in deep neural networks.

, , , , and . GECCO, page 481-488. ACM, (2017)

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Convergence Analysis of PSO for Hyper-Parameter Selection in Deep Neural Networks., and . 3PGCIC, volume 13 of Lecture Notes on Data Engineering and Communications Technologies, page 284-295. Springer, (2017)Memetic evolution of deep neural networks., and . GECCO, page 505-512. ACM, (2018)Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks., , and . DSD, page 260-267. IEEE Computer Society, (2018)Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks., , , and . CoRR, (2018)Data Augmentation via Image Registration., , , , , , , , , and 3 other author(s). ICIP, page 4250-4254. IEEE, (2019)Hyper-parameter selection in deep neural networks using parallel particle swarm optimization., , , and . GECCO (Companion), page 1864-1871. ACM, (2017)Hands-Free Research Workflow., , , and . EASE, page 70-73. ACM, (2017)Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets., , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 13-24. Springer, (2018)Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors., , , , , , , , , and 1 other author(s). CoRR, (2019)Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks., , , , , , , and . Comput. Methods Programs Biomed., (2019)