Why was this cited? Explainable machine learning applied to COVID-19 research literature

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F22%3A00057757" target="_blank" >RIV/61384399:31140/22:00057757 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s11192-022-04314-9" target="_blank" >https://link.springer.com/article/10.1007/s11192-022-04314-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11192-022-04314-9" target="_blank" >10.1007/s11192-022-04314-9</a>

Result language
angličtina
Original language name
Why was this cited? Explainable machine learning applied to COVID-19 research literature
Original language description
Main topics of the document: bibliometry; text analysis; interpretability; citation prediction; Covid-19
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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)

Project
<a href="/en/project/TH74010002" target="_blank" >TH74010002: Countering Creative Information Manipulation with Explainable AI</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Result description