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Filters: Author is Strümke, Inga  [Clear All Filters]
2021
V. Thambawita, J. L. Isaksen, S. A. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen et al. "DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine." Scientific Reports (2021).
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D. V. Fryer, I. Strümke and H. Nguyen. "Model independent feature attributions: Shapley values that uncover non-linear dependencies." PeerJ Computer Science 7 (2021): e582.
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D. Fryer, I. Strümke and H. Nguyen. "Shapley Values for Feature Selection: The Good, the Bad, and the Axioms." IEEE Access 9 (2021): 144352-144360.
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I. Strümke, M. Slavkovik and V. I. Madai. "The social dilemma in artificial intelligence development and why we have to solve it." AI and Ethics (2021).
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2020
D. Fryer, I. Strümke and H. Nguyen. "Shapley Value Confidence Intervals for Attributing Variance Explained." Frontiers in Applied Mathematics and Statistics 6 (2020).
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