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Although anaesthesiologists strive to avoid hypoxaemia during surgery, reliably predicting future intraoperative hypoxaemia is not possible at present. Here, we report the development and testing of a…
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**Summary !!!**
- **BioModel Name**: Wong2024 - Discovery of a structural class of antibiotics with explainable deep learning
- **BioModel Tag**: fair AIML, Machine learning model, Ersilia
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Pose a question about one of the following possibility readings:
“[The unreasonable effectiveness of deep learning in artificial intelligence](https://www.pnas.org/content/pnas/early/2020/01/23/19…
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### WHY
We need to reveal how the black-box model engine operates for user to understand and trust the systems (where they do not know the basis for the current outcomes and lack insight how it wor…
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Hi, thanks for your awesome work. I'm currently trying to work on a fundus image classification task, and I saw your dataset MedMNIST. But it seems the image size is too small, and my dataset is aroun…
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### Developer utility and productivity tools:
#### Utility Tools
- [ ] In Browser Markdown Editor: Edit Markdown documents directly in your browser for easy formatting.
- [ ] In Browser Code Edit…
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https://github.com/slundberg/shap
https://towardsdatascience.com/explainable-ai-interpretability-of-machine-learning-models-412840d58f40
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I am very interested in your task, but I find that I do not understand your paper. Is there any book or article that can help me understand what problem you solve.
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“Integrative Learning - Multi-modal, Complex and Complete Models” & “Epilogue: You in the Loop” in Thinking with Deep Learning, Chapters 17 & Epilogue; “[Explainable Deep Learning: Concepts, Methods, …
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Hello, I have a pre-trained model for text sentiment polarity classification, with a structure roughly composed of RoBERTa+TextCNN. Can I use the Introspective Rationale Explainer to interpret its out…