alimid/clayton_boost

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Created about 2 years ago
Updated 8 months ago

alimid/clayton_boost

alimid

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Clayton-boost is a gradient boosting algorithm for time-to-event analysis, based on the XGBoost framework, which allows dependent censored data.

XAI

Workshop where the users learn to use Explainable Artificial Intelligence. Here you will use Layer-Wise Relevance Propagation (LRP) to explain classification done by sentiment analysis, a type of Natural Language Processing (NLP).

Jupyter Notebook

Radiomics

These scripts were created to perform Radiomics on three-dimensional medical images (PET and CT). The scripts can be used to perform classification of all kinds of images (both two-dimensional and three-dimensional) by using classical texture analysis methods (e.g. GLCM).

Delay-SDE-net

surface_friction

Scripts used to create machine learning models to predict runway surface conditions from weather data and runway reports.