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Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
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Handling generalization in contextualized support vector machine knowledge models
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Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
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- Conference Paper
- P1
- open access
Towards improved cervical cancer screening : vision transformer-based classification and interpretability
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- Journal Article
- A1
- open access
IRAF-BRB : an explainable AI framework for enhanced interpretability in project risk assessment
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- Journal Article
- A1
- open access
Physiology-driven cybersickness detection in virtual reality : a machine learning and explainable AI approach
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Distill2Explain : differentiable decision trees for explainable reinforcement learning in energy application controllers
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Explainable reinforcement learning-based home energy management systems using differentiable decision trees
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- Conference Paper
- P1
- open access
Pure data-driven machine learning challenges for pFMEA : a case study
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An open-source software library for explainable support vector machine classification