Reliable interpretability of biology-inspired deep neural networks

Wolfgang Esser-Skala; Nikolaus Fortelny

doi:10.1038/s41540-023-00310-8

Reliable interpretability of biology-inspired deep neural networks

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	50
Journal	NPJ Systems Biology and Applications
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41540-023-00310-8
Publication status	Published - 10 Oct 2023

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Publisher Copyright:
© 2023, Springer Nature Limited.

Fields of Science and Technology Classification 2012

102 Computer Sciences
106 Biology

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10.1038/s41540-023-00310-8

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AU - Fortelny, Nikolaus

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Reliable interpretability of biology-inspired deep neural networks

Bibliographical note

Fields of Science and Technology Classification 2012

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