122 citations · 259 across the 14 of their papers we have counts for
4 papers · 1 filter
Explaining Black-box Models for Biomedical Text Classification
Milad Moradi, Matthias Samwald
In this paper, we propose a novel method named Biomedical Confident Itemsets Explanation (BioCIE), aiming at post-hoc explanation of black-box machine learning models for biomedica…
Explaining black-box text classifiers for disease-treatment information extraction
Milad Moradi, Matthias Samwald
Deep neural networks and other intricate Artificial Intelligence (AI) models have reached high levels of accuracy on many biomedical natural language processing tasks. However, the…
A critical analysis of metrics used for measuring progress in artificial intelligence
Kathrin Blagec, Georg Dorffner, Milad Moradi +1
Comparing model performances on benchmark datasets is an integral part of measuring and driving progress in artificial intelligence. A model's performance on a benchmark dataset is…
Post-hoc explanation of black-box classifiers using confident itemsets
Milad Moradi, Matthias Samwald
Black-box Artificial Intelligence (AI) methods, e.g. deep neural networks, have been widely utilized to build predictive models that can extract complex relationships in a dataset…