Preprocessing COVID-19 radiographic images by evolutionary column subset selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10246917" target="_blank" >RIV/61989100:27240/21:10246917 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-57796-4_41" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-57796-4_41</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-57796-4_41" target="_blank" >10.1007/978-3-030-57796-4_41</a>
Alternative languages
Result language
angličtina
Original language name
Preprocessing COVID-19 radiographic images by evolutionary column subset selection
Original language description
Column subset selection is a hard combinatorial optimization problem with applications in operations research, data analysis, and machine learning. It involves the search for fixed-length subsets of columns from large data matrices and can be used for low-rank approximation of high-dimensional data. It can be also used to preprocess data for image classification. In this work, we study column subset selection in the context of radiography image analysis and concentrate on the detection of COVID-19 from chest X-ray imagery. (C) Springer Nature Switzerland AG 2021.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LTAIN19176" target="_blank" >LTAIN19176: Metaheuristics Framework for Multi-objective Combinatorial Optimization Problems (META MO-COP)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 1263
ISBN
978-3-030-57795-7
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
12
Pages from-to
425-436
Publisher name
Springer
Place of publication
Cham
Event location
Victoria
Event date
Aug 31, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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