@CecilYongo I'm not technical people, but sounds like this classic from Cynthia Rudin to me: https://t.co/tdcxFc4Y0x
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RT @amirrahnama_: @Radiology_AI @langer_han @IVR57958121 Interesting study. Saliency maps always had problems. Many studies showed that the…
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@Radiology_AI @langer_han @IVR57958121 Interesting study. Saliency maps always had problems. Many studies showed that they have serious flaws right after they became popular in 2018-2019: * https://t.co/zWSx083kqK * https://t.co/YftOdhWn5k * https://t.co/
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The perspective paper by Cnythia Rudin in Nature Machine Intelligence: https://t.co/kZlF83Ikie Discussing challenges in interpretable ML, and providing example applications where interpretable models could potentially replace black box models (4/5)