28 Aralık 2022 tarihinde Anadolu Üniversitesi Eğitim Fakültesi seminerleri kapsamında gerçekleştirilen "Açıklanabilir Yapay Zeka" sunum materyallerini içerir.

Official implementation of "insertion/deletion metrics-aware explanation-based optimization"

https://github.com/jphall663 -- https://github.com/jphall663/awesome-machine-learning-interpretability -- https://www.youtube.com/watch?v=d6j6bofhj2M&list=PLV8yxwGOxvvovp-j6ztxhF3QcKXT6vORU&index=3

Dataiku XAI showcase project using XAI features like PDP and SHAP

Official code for MAFIA (MAsk-based Feature Interaction Attribution): Explain BERT model's decision in NLI task.

來自《Econometric Analysis》書本的信用卡核發資料，結合XAI 套件SHAP。

code for paper in NLDB'23

Fundamentals of Interpretable Data Science

Code repository for WYM's Demo submitted at VLDB2023 and CIKM2023.

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.

Collection of papers used for a scoping review of explanation types and need indicators in human–agent interact / robotics / human–agent collaborations

Playing by AI's rules - Matching Pairs / Memory with CLIP Cosine Similarity!

Collection of resources to analyze gait data with machine learning

In this project, a character level CNN is used to model sentiments of tweets. Furthermore, XAI techniques such as LayerWise Propagation method is applied to extract support phrases from the tweet as explanation for the model output.

A docker environment and notebooks to experiment with the extraction of moore machines from RNN RL policies

Repository containing sample datasets, models and notebooks to start using EXPAI.

Generate explanations for the ResNet50 classification using Grad-CAM and LIME (XAI Method)

Repository for my msc-research-project-implementation. Written in R, Python and PlantUML.

This website hosted on GitHub-pages showcases all publications from Oregon State University's eXplainable Artificial Intelligence (XAI) Project.