Prototype of interactive visualisation tool for Bayesian active deep learning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F24%3A00617590" target="_blank" >RIV/67985815:_____/24:00617590 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/23:00362332
Result on the web
<a href="https://www.aspbooks.org/publications/535/091.pdf" target="_blank" >https://www.aspbooks.org/publications/535/091.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Prototype of interactive visualisation tool for Bayesian active deep learning
Original language description
In the era of big data in astronomy, we need to develop methods to analyse the data. One such method is Bayesian active deep learning (synergy of Bayesian convolutional neural networks and active learning). To improve the method's performance, we have developed a prototype of an interactive visualisation tool for a selection of an informative (contains data with high predictive uncertainty, is diverse, but not redundant) data subsample for labelling by a human expert. The tool takes as input a sample of data with the highest predictive uncertainty. These data are projected to 2-D with a dimensionality reduction technique. We visualise the projected data in an interactive scatter plot and allow a human expert to label a selected subsample of data. With this tool, she or he can select a correct subsample with all the previously mentioned characteristics. This should lower the total amount of data labelled because the Bayesian model's performance will improve faster than when the data are selected automatically.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Astronomical Data Analysis Software and Systems XXXI
ISBN
978-1-58381-957-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
91-94
Publisher name
Astronomical Society of the Pacific
Place of publication
San Francisco
Event location
Kapské Město
Event date
Oct 24, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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