xai
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Official implementation of "insertion/deletion metrics-aware explanation-based optimization"
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Feb 27, 2024 - Python
Slides for the ODSC 2024 - Beyond Interpretability: An Interdisciplinary Approach to Communicate Machine Learning Outcomes
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Sep 2, 2024
來自《Econometric Analysis》書本的信用卡核發資料,結合XAI 套件SHAP。
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Jan 12, 2023 - Jupyter Notebook
Fundamentals of Interpretable Data Science
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Apr 19, 2023
code for paper in NLDB'23
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Jun 13, 2023 - Jupyter Notebook
Code for IMVIP 2024 paper "Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAM"
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Jul 22, 2024 - Python
Cardiovasular Disease Detection using Naive Bayes, Logistic Regression, Random Forest & Support Vector Machine, while comparing the Naive Bayes models with the rest. LIME was also used to explain the predictions of the model.
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Dec 13, 2023 - Jupyter Notebook
Playing by AI's rules - Matching Pairs / Memory with CLIP Cosine Similarity!
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Mar 30, 2024 - Python
Collection of papers used for a scoping review of explanation types and need indicators in human–agent interact / robotics / human–agent collaborations
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Jun 6, 2024
This website hosted on GitHub-pages showcases all publications from Oregon State University's eXplainable Artificial Intelligence (XAI) Project.
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Mar 17, 2023 - CSS
a project 'AI YouTube Consultant🤡' which help youtuber increase the number of subscribers
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Feb 5, 2021 - Jupyter Notebook
Methods and tools for explainable AI with tensorflow
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Mar 3, 2020
Replication package for the paper "Symptoms-based predictive models of the COVID-19 disease in children"
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Oct 29, 2021 - Jupyter Notebook
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