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Ish: Novelty Classification Model Use in Reinforcement Learning for Cervical Cancer
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe +2
Maqola201620 iqtibosABIMobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu +2
PreprintOchiq kirish201819 iqtibosABIPyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa +18
MaqolaOchiq kirish20198 iqtibosABICerviLearnNet: Advancing cervical cancer diagnosis with reinforcement learning-enhanced convolutional networks
Shakhnoza Muksimova, Sabina Umirzakova, Seokwhan Kang +1
MaqolaOchiq kirish20244 iqtibosABIDeep reinforcement learning for imbalanced classification
Enlu Lin, Qiong Chen, Xiaoming Qi
MaqolaOchiq kirish20202 iqtibosABIPrivacy Preserved Cervical Cancer Detection Using Convolutional Neural Networks Applied to Pap Smear Images
Shtwai Alsubai, Abdullah Alqahtani, Mohemmed Sha +4
MaqolaOchiq kirish20232 iqtibosABI