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Machine Learning in the Space of Inferential Models
Tino, Peter
(Principal Investigator)
Computer Science
Overview
Fingerprint
Research output
(1)
Project Details
Short title
Machine Learning in the Space of Inferential Models
Status
Finished
Effective start/end date
1/04/20
→
31/12/21
Funding
Alan Turing Institute
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Fingerprint
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.
Interpretability
Mathematics
100%
Taxonomies
Engineering & Materials Science
79%
Neural Networks
Mathematics
71%
Neural networks
Engineering & Materials Science
45%
Taxonomy
Mathematics
42%
Drug Discovery
Engineering & Materials Science
33%
Genomics
Engineering & Materials Science
26%
Learning systems
Engineering & Materials Science
25%
Research output
Research output per year
2021
2021
2021
1
Review article
Research output per year
Research output per year
A Survey on Neural Network Interpretability
Zhang, Y.
,
Tino, P.
,
Leonardis, A.
&
Tang, K.
,
Oct 2021
,
In:
IEEE Transactions on Emerging Topics in Computational Intelligence.
5
,
5
,
p. 726-742
17 p.
Research output
:
Contribution to journal
›
Review article
›
peer-review
Interpretability
100%
Taxonomies
79%
Neural Networks
71%
Neural networks
45%
Taxonomy
42%
142
Citations (Scopus)