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Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework., и . CoRR, (2020)A Comparative Analysis of Vision Transformers and Convolutional Neural Networks in Cardiac Image Segmentation., , , , , , , и . ISDFS, стр. 1-7. IEEE, (2024)A Comparison Between Transformers and Foundation Models in Sentiment Analysis of Student Evaluation of Teaching., , , , и . ISDFS, стр. 1-7. IEEE, (2024)EMONAS: efficient multiobjective neural architecture search framework for 3D medical image segmentation., и . Medical Imaging: Image Processing, том 11596 из SPIE Proceedings, SPIE, (2021)Efficient Neural Architecture Search with Multiobjective Evolutionary Optimization.. University of South Florida, Tampa, USA, (2020)base-search.net (ftusouthflorida:oai:digitalcommons.usf.edu:etd-9708).An extensive pixel-level augmentation framework for unsupervised cross-modality domain adaptation., и . Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Teacher-Student Semi-supervised Approach for Medical Image Segmentation.. FLARE@MICCAI, том 13816 из Lecture Notes in Computer Science, стр. 152-162. Springer, (2022)Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation., и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 113131W. SPIE, (2020)C-MADA: unsupervised cross-modality adversarial domain adaptation framework for medical image segmentation., и . Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)A Feature Selection Approach Towards the Standardization of Network Security Datasets., , , , , , и . NetSoft, стр. 257-261. IEEE, (2023)