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Adversarial Text Normalization.

, , and . NAACL-HLT (Industry Papers), page 268-279. Association for Computational Linguistics, (2022)

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COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images., , , , , , , , , and . CoRR, (2021)Adversarial Text Normalization., , and . NAACL-HLT (Industry Papers), page 268-279. Association for Computational Linguistics, (2022)COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data., , , , , and . CoRR, (2022)MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis., , , , , , and . CoRR, (2021)Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images., , , and . BMC Medical Imaging, 22 (1): 143 (2022)COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow., , , , , , , , , and . CCECE, page 1-5. IEEE, (2021)CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images., , , and . CoRR, (2020)TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices., , , and . CoRR, (2020)COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images., , , , , and . CoRR, (2021)COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics., , , , , and . CoRR, (2022)