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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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Neural Network
Computer Science
100%
Interpretability
Computer Science
25%
Ethical Requirements
Keyphrases
14%
Network Architecture
Computer Science
12%
Use Case
Computer Science
12%
Final Decision
Computer Science
12%
Training Data
Computer Science
12%
Domain Knowledge
Computer Science
12%
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%
Interpretability
25%
Ethical Requirements
14%
Network Architecture
12%
Use Case
12%
2625
Downloads (Orbit)