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Explainability of uncertainty for neural networks
Rieger, Laura Hannemose
(PhD Student)
Papapetrou, Panagiotis
(Examiner)
Samek, Wojciech
(Examiner)
Madsen, Kristoffer Hougaard
(Examiner)
Hansen, Lars Kai
(Main Supervisor)
Nielsen, Finn Årup
(Supervisor)
Atomic Scale Materials Modelling
Cognitive Systems
Department of Applied Mathematics and Computer Science
Copenhagen Center for Health Technology
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/09/2017
→
10/02/2021
Funding
Technical University of Denmark
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Explainability
Keyphrases
100%
Neural Network
Keyphrases
100%
Explanation Methods
Keyphrases
28%
Interpretability
Computer Science
25%
Ethical Requirements
Keyphrases
14%
Ways of Knowing
Keyphrases
14%
Training Data
Keyphrases
14%
Network Architecture
Keyphrases
14%
Research output
Research output per year
2020
2020
2020
1
Ph.D. thesis
Research output per year
Research output per year
Explainability for neural networks
Rieger, L.,
2020
,
Technical University of Denmark
.
141 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Neural Network
100%
Explainability
100%
Explanation Methods
28%
Interpretability
25%
Popular
14%
3274
Downloads (Orbit)