4 citations · 9 across the 5 of their papers we have counts for
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cs.HC2022★ 2 cited
Explainability in Machine Learning: a Pedagogical Perspective
Andreas Bueff, Ioannis Papantonis, Auste Simkute +1
Given the importance of integrating of explainability into machine learning, at present, there are a lack of pedagogical resources exploring this. Specifically, we have found a nee…
cs.LG2022★ 1 cited
Principled Diverse Counterfactuals in Multilinear Models
Ioannis Papantonis, Vaishak Belle
Machine learning (ML) applications have automated numerous real-life tasks, improving both private and public life. However, the black-box nature of many state-of-the-art models po…