Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00328046" target="_blank" >RIV/68407700:21230/18:00328046 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/18:00328046
Result on the web
<a href="https://ieeexplore.ieee.org/document/8621434" target="_blank" >https://ieeexplore.ieee.org/document/8621434</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/BIBM.2018.8621434" target="_blank" >10.1109/BIBM.2018.8621434</a>

Result language
angličtina
Original language name
Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification
Original language description
Classification of a PSG record to individual sleep stages is an expensive and time-consuming process because a trained human annotator (typically a physician) has to go through all segments of the record and classify them to their classes. In consequence, many semi-automated methods have been proposed in order to reduce the expert’s effort. The active learning approach is also well-suited for this type of task because it allows to select only the most informative instances for labeling without the quality of classification to be reduced. On the other hand the unsatisfactory initialization of active learning can cause a slower learning process. In this paper we introduce the method for creating of the initial set of labeled instances to eliminate this threat. Because k-means algorithm is commonly used as the initialization method, the comparison between these two methods is provided.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA17-20480S" target="_blank" >GA17-20480S: Temporal context in analysis of long-term non-stationary multidimensional signal</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings
ISBN
978-1-5386-5488-0
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
2249-2253
Publisher name
IEEE
Place of publication
—
Event location
Madrid
Event date
Dec 3, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000458654000382

Similar results(10)