Multi-Class Prediction of Obesity Risk ML App

An implemetation for computing the Shapley value (in polynomial time) of matching games over bounded treewidth graphs.

Dilated Convolutional Autoencoder for univariate Time Series

Codes for reproducing the results of arXiv:2207.04157

Feature engineering, selection and XGBoost modeling for the Kaggle House Prices Regression competition.

An academic research paper detailing an automatic method to generate customized explanations for the Shapley value.

Set of Jupyter notebooks and geospatial data developed by the MAPSPADES project to study desertification in the Algerian steppe using EO data.

AI applications can be found in various real-world systems, including vehicle system design and real-time car accident prediction. There is an increasing need to better explain AI-driven processes, especially in terms of potential legal disputes that might result from AI decisions. This analysis addresses this explainability and legal issues.

use XGBoost and Adaboost to predict heart disease and use SHAP to explain the potential factors behind the result.

2022 K-인공지능 제조 데이터 분석 경진대회(장려상)

Search vector Shapley in cooperative game

A python script to classify Titanic dataset (Survived and not Survived) by applying different Machine Learning Algorithms have been used such as Logistic Regression, SVM, KNN, Decision Tree and Random Forest.

API for ShapEmotionsCorrection project

Introducing "Causal Influence Decomposition" and trying it on an Echo State Network.

This repository contains all the Machine learning [RTA] project | implimentation part done by The Bright Kid

How to calculate Shapley Value

ML modeling and feature importance analysis conducted to identify/inform company practices related work interference due to mental health.

Rank nodes in an FBAS like Stellar using the Shapley value and other node centrality measures.

This is a course project predicting the price of Bitcoin and some analysis of its variation.

A Two Stage Machine Learning Approach for 5G Mobile Network Augmentation through Dynamic Selection and Activation of UE_VBSs.