ROC analysis of extreme seeking entropy for trend change detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F20%3A43921431" target="_blank" >RIV/60461373:22340/20:43921431 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9232845" target="_blank" >https://ieeexplore.ieee.org/document/9232845</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/AE49394.2020.9232845" target="_blank" >10.23919/AE49394.2020.9232845</a>

Result language
angličtina
Original language name
ROC analysis of extreme seeking entropy for trend change detection
Original language description
This paper is dedicated to the evaluation of the ROC curve of recently introduced Extreme Seeking Entropy algorithm. The ROC curve is evaluated for a trend change in the signal that contains additive Gaussian noise. The resulting ROC curve of the Extreme Seeking Entropy algorithm is compared with other adaptive novelty detection methods, namely Learning Entropy and Error and Learning Based Novelty Detection as those algorithms are also evaluating the adaptive weights increments. The ROC curves are evaluated for multiple noise variances and area under those ROC curves is estimated.
Czech name
—
Czech description
—

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
25th International Conference on Applied Electronics, AE 2020
ISBN
978-80-261-0891-7
ISSN
1803-7232
e-ISSN
—
Number of pages
4
Pages from-to
—
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Plzeň
Event date
Aug 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000659296200038

Similar results(10)