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Source Model Selection for Deep Learning in the Time Series Domain
Amiel Meiseles
,
Lior Rokach
Research output
:
Contribution to journal
›
Article
›
peer-review
33
Scopus citations
Overview
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Dive into the research topics of 'Source Model Selection for Deep Learning in the Time Series Domain'. Together they form a unique fingerprint.
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Keyphrases
Deep Learning
100%
Model Selection
100%
Source Model
100%
Transfer Learning
50%
Source Data
33%
Silhouette Coefficient
33%
Performance Prediction
16%
Encoder
16%
University of California
16%
Learning Performance
16%
Riverside
16%
Copyright
16%
Learning Objectives
16%
Knowledge Transfer
16%
Target Domain
16%
Target Network
16%
Optimal Classification
16%
Engineering
Source Model
100%
Deep Learning
100%
Tasks
83%
Transfer Learning
50%
Similarities
33%
Source Data
33%
Target Data
33%
Model Parameter
16%
Comparable Result
16%
Single Source
16%
Target Network
16%
Computer Science
Deep Learning
100%
Transfer Learning
100%
Silhouette Coefficient
66%
Knowledge Transfer
33%
Predictive Performance
33%
Learning Performance
33%
Network Target
33%