Pinned Repositories
2017-10-26-python_crash_course
ConsisXAI
ConsisXAI is an implementation of a technique to evaluate global machine learning explainability (XAI) methods based on feature subset consistency
data-science-blogs
A curated list of data science blogs
Data-Science-Cheatsheet
docker-python
Kaggle Python docker image
Exploring-the-Deadliness-of-Terrorist-Attacks
flow-analysis-predictions
Process performance prediction using flow analysis techniques
IntegratedGradients
Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Local_rule_basedXAIEvaluation
PPM_XAI_Comparison
Code of experiments implemented in the paper "Explainability of Predictive Process Monitoring results: Techniques, Experiments and Lessons Learned", comparing XAI methods at different granularities (global/local) with different settings on predictive process monitoring outcomes using process mining event logs
GhadaElkhawaga's Repositories
GhadaElkhawaga/PPM_XAI_Comparison
Code of experiments implemented in the paper "Explainability of Predictive Process Monitoring results: Techniques, Experiments and Lessons Learned", comparing XAI methods at different granularities (global/local) with different settings on predictive process monitoring outcomes using process mining event logs
GhadaElkhawaga/ConsisXAI
ConsisXAI is an implementation of a technique to evaluate global machine learning explainability (XAI) methods based on feature subset consistency
GhadaElkhawaga/2017-10-26-python_crash_course
GhadaElkhawaga/data-science-blogs
A curated list of data science blogs
GhadaElkhawaga/Data-Science-Cheatsheet
GhadaElkhawaga/docker-python
Kaggle Python docker image
GhadaElkhawaga/Exploring-the-Deadliness-of-Terrorist-Attacks
GhadaElkhawaga/flow-analysis-predictions
Process performance prediction using flow analysis techniques
GhadaElkhawaga/IntegratedGradients
Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
GhadaElkhawaga/Local_rule_basedXAIEvaluation
GhadaElkhawaga/machine_learning_examples
A collection of machine learning examples and tutorials.
GhadaElkhawaga/Notebook-Of-Things-I-Do-Not-Know-About
Notebook relating to Machine Learning/Data Science and potentially various other topics.
GhadaElkhawaga/Predicting-How-Points-End-in-Tennis
CrowdANALYTIX's Data Science Competition
GhadaElkhawaga/rnnalpha
GhadaElkhawaga/sklearnflask
Flask API for training and predicting using scikit learn models
GhadaElkhawaga/stability-predictive-monitoring
This repository contains scripts for predictive monitoring methods (random forest, XGBoost, and LSTM based) and assessing the prediction accuracy and temporal prediction stability.
GhadaElkhawaga/XAI_predictivemonitoring_Consistency
GhadaElkhawaga/xgboostExplainer
An R package that makes xgboost models fully interpretable