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Data Separability for Neural Network Classifiers and the Development of a Separability Index.

, , and . CoRR, (2020)

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The estimation of training accuracy for two-layer neural networks on random datasets without training., and . CoRR, (2020)Data Separability for Neural Network Classifiers and the Development of a Separability Index., , and . CoRR, (2020)CaraNet: context axial reverse attention network for segmentation of small medical objects., , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary., and . ICMLA, page 101-106. IEEE, (2020)A Novel Intrinsic Measure of Data Separability., and . CoRR, (2021)CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects., , and . CoRR, (2021)Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks., , , and . AIPR, page 1-6. IEEE, (2019)CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation., , and . CoRR, (2021)CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation., , and . Comput. Biol. Medicine, (March 2023)