Search Results for author:
Found 3 papers, 0 papers with code
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
We propose a simple approach that can be used in the deployment phase of any ML model to suggest whether to trust predictions or not.
Tree-based local explanations of machine learning model predictions, AraucanaXAI
Increasingly complex learning methods such as boosting, bagging and deep learning have made ML models more accurate, but harder to understand and interpret.
The Gene Mover's Distance: Single-cell similarity via Optimal Transport
In the Optimal Transport model, we use two types of cost function for measuring the distance between a pair of genes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
