3 citations · 4 across the 3 of their papers we have counts for
3 papers
Approximating Score-based Explanation Techniques Using Conformal Regression
Amr Alkhatib, Henrik Boström, Sofiane Ennadir +1
Score-based explainable machine-learning techniques are often used to understand the logic behind black-box models. However, such explanation techniques are often computationally e…
Interpretable Graph Neural Networks for Tabular Data
Amr Alkhatib, Sofiane Ennadir, Henrik Boström +1
Data in tabular format is frequently occurring in real-world applications. Graph Neural Networks (GNNs) have recently been extended to effectively handle such data, allowing featur…
Evaluating Local Explanations using White-box Models
Amir Hossein Akhavan Rahnama, Judith Butepage, Pierre Geurts +1
Evaluating explanation techniques using human subjects is costly, time-consuming and can lead to subjectivity in the assessments. To evaluate the accuracy of local explanations, we…