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07/03/2023
Fixing confirmation bias in feature attribution methods via semantic match
Feature attribution methods have become a staple method to disentangle t...
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01/05/2023
Semantic match: Debugging feature attribution methods in XAI for healthcare
The recent spike in certified Artificial Intelligence (AI) tools for hea...
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06/30/2022
Why we do need Explainable AI for Healthcare
The recent spike in certified Artificial Intelligence (AI) tools for hea...
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09/30/2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation
Detection of Out-of-Distribution (OOD) samples in real time is a crucial...
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09/14/2021
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients
Despite the recent progress in the field of causal inference, to date th...
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12/09/2020
Know Your Limits: Monotonicity Softmax Make Neural Classifiers Overconfident on OOD Data
A crucial requirement for reliable deployment of deep learning models fo...
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11/06/2020
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data
When deploying machine learning models in high-stakes real-world environ...
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04/13/2020
Uncertainty estimation for classification and risk prediction in medical settings
In a data-scarce field such as healthcare, where models often deliver pr...
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06/20/2019
