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Durrant A
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Durrant A
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Durrant A
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1
Hyperspherically regularized networks for self-supervision
by
Durrant
,
A
.
,
Leontidis, G.
Published 2022
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2
NEUTRON NOISE-BASED ANOMALY CLASSIFICATION AND LOCALIZATION USING MACHINE LEARNING
by
Demazière C
,
Mylonakis A
,
Vinai P
,
Durrant
A
,
De Sousa Ribeiro F
,
Wingate J
,
Leontidis G
,
Kollias S
Published 2021-01-01
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Article
3
Machine learning for analysis of real nuclear plant data in the frequency domain
by
Alexandridis, G.
,
Demaziere, C.
,
Durrant
,
A
.
,
Kollias, S.
,
Leontidis, G.
,
Mylonakis, A.
,
Stafylopatis, A.
,
Vinai, P.
,
Wingate, J.
,
Yu, M.
Published 2022
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Related Subjects
Self-supervised learning
Actual plant data
Clustering
Clustering algorithms
Clusterings
Computational burden
Core diagnostics
Core monitoring
Deep learning
Distillation
Domain adaptation
Energy
Frequency domain analysis
Hyperspherical
Image classification
Image representation
Image representations
Images classification
Inter class
Learning systems
Machine learning
Machine-learning
Neutron noise
Nuclear reactors
Plant data
Representation learning
Representation separability
Representation space
Semantic Segmentation
Semantics
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