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Research Output 2017 2019

• 2 Book chapter
• 1 Article in proceedings

Research Output per year

Interpretability in Intelligent Systems – A New Concept?

Hansen, L. K. & Rieger, L., 1 Jan 2019, Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 41-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11700 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Structuring Neural Networks for More Explainable Predictions

Rieger, L., Chormai, P., Montavon, G., Hansen, L. K. & Müller, K-R., 2019, Explainable and Interpretable Models in Computer Vision and Machine Learning. Springer, p. 115-131

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Separable explanations of neural network decisions

Rieger, L., 2017, Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS 2017). 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Projects 2017 2020

• 1 Active

Projects per year

Explainability of uncertainty for neural networks

Rieger, L., Hansen, L. K. & Nielsen, F. Å.

Technical University of Denmark

01/09/2017 → 30/10/2020

Project: PhD