mccormick.northwestern.edu

Exploring the Connections Among Machine Learning, Interpretability, and Logic

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
ZDNet

Explainable AI: A guide for making black box machine learning models explainable

Machine learning is taking the world by storm, helping automate more and more tasks. As digital transformation expands, the volume and coverage of available data grows, and machine learning sets its ...
Forbes

Explainable AI: The Importance Of Adding Interpretability Into Machine Learning

Dr. Adi Hod. Cofounder & CEO at Velotix. Driven by a passion for data and cybernetic AI. Entrepreneur, professor, leader & innovator. AI is fast becoming embedded in industries, economies and lives, ...
GitHub

Reemsoliiman/ga-feature-select

A genetic algorithm-based feature selection framework optimized for medical diagnosis datasets. This project implements a multi-objective optimization approach that maximizes classification accuracy ...