122 citations · 171 across the 8 of their papers we have counts for
4 papers · 1 filter
Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain
Milad Moradi, Matthias Samwald
In this article, we first give an introduction to artificial intelligence and its applications in biology and medicine in Section 1. Deep learning methods are then described in Sec…
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…
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…