4 citations · 5 across the 5 of their papers we have counts for
5 papers
What's meant by explainable model: A Scoping Review
Mallika Mainali, Rosina O Weber
We often see the term explainable in the titles of papers that describe applications based on artificial intelligence (AI). However, the literature in explainable artificial intell…
When a CBR in Hand is Better than Twins in the Bush
Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum +2
AI methods referred to as interpretable are often discredited as inaccurate by supporters of the existence of a trade-off between interpretability and accuracy. In many problem con…
Explanation Container in Case-Based Biomedical Question-Answering
Prateek Goel, Adam J. Johs, Manil Shrestha +1
The National Center for Advancing Translational Sciences(NCATS) Biomedical Data Translator (Translator) aims to attenuate problems faced by translational scientists. Translator is…
Longitudinal Distance: Towards Accountable Instance Attribution
Rosina O. Weber, Prateek Goel, Shideh Amiri +1
Previous research in interpretable machine learning (IML) and explainable artificial intelligence (XAI) can be broadly categorized as either focusing on seeking interpretability in…
Knowledge-based XAI through CBR: There is more to explanations than models can tell
Rosina Weber, Manil Shrestha, Adam J Johs
The underlying hypothesis of knowledge-based explainable artificial intelligence is the data required for data-centric artificial intelligence agents (e.g., neural networks) are le…