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Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features.

, , , , , , , и . MICCAI (3), том 12903 из Lecture Notes in Computer Science, стр. 391-401. Springer, (2021)

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Neural Response Interpretation Through the Lens of Critical Pathways., , , , , и . CVPR, стр. 13528-13538. Computer Vision Foundation / IEEE, (2021)Rethinking Feature Attribution for Neural Network Explanation.. Technical University of Munich, Germany, (2023)A Survey on Transferability of Adversarial Examples Across Deep Neural Networks., , , , , , , , , и 2 other автор(ы). Trans. Mach. Learn. Res., (2024)AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments., , , , , , , и . CoRR, (2023)FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays., , , , , и . MIDL, том 227 из Proceedings of Machine Learning Research, стр. 1493-1508. PMLR, (2023)Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information., , , , , и . NeurIPS, стр. 20040-20051. (2021)Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features., , , , , , , и . MICCAI (3), том 12903 из Lecture Notes in Computer Science, стр. 391-401. Springer, (2021)CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN., , , , , , , , и . CoRR, (2022)Do Explanations Explain? Model Knows Best., , , и . CVPR, стр. 10234-10243. IEEE, (2022)Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs., , , , , , , , , и . MICCAI (7), том 12907 из Lecture Notes in Computer Science, стр. 273-282. Springer, (2021)