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08/30/2023
survex: an R package for explaining machine learning survival models
Due to their flexibility and superior performance, machine learning mode...
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07/15/2023
Explainable AI with counterfactual paths
Explainable AI (XAI) is an increasingly important area of research in ma...
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06/06/2023
Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey
Explainable artificial intelligence (XAI) methods are portrayed as a rem...
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04/12/2023
Towards Evaluating Explanations of Vision Transformers for Medical Imaging
As deep learning models increasingly find applications in critical domai...
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03/17/2023
Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics
To what extent can the patient's length of stay in a hospital be predict...
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02/26/2023
Performance is not enough: a story of the Rashomon's quartet
Predictive modelling is often reduced to finding the best model that opt...
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08/23/2022
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Machine and deep learning survival models demonstrate similar or even im...
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05/28/2021
Do not explain without context: addressing the blind spot of model explanations
The increasing number of regulations and expectations of predictive mach...
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05/26/2021
Fooling Partial Dependence via Data Poisoning
Many methods have been developed to understand complex predictive models...
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12/28/2020
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
The increasing amount of available data, computing power, and the consta...
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05/01/2020
