Search Results for author:
Found 3 papers, 0 papers with code
Elucidating Discrepancy in Explanations of Predictive Models Developed using EMR
The lack of transparency and explainability hinders the clinical adoption of Machine learning (ML) algorithms.
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted?
The absence of transparency and explainability hinders the clinical adoption of Machine learning (ML) algorithms.
Randomised Algorithm for Feature Selection and Classification
The selection method progressively refines a probability distribution defined on the model structure space, by extracting sample models from the current distribution and using the aggregate information obtained from the evaluation of the population of models to reinforce the probability of extracting the most important terms.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
