Owner only: item control page
Predicting Ecological Momentary Assessments in an App for Tinnitus by Learning From Each User's Stream With a Contextual Multi-Armed Bandit
Shahania, Saijal, Unnikrishnan, Vishnu, Pryss, Rüdiger
, Kraft, Robin , Schobel, Johannes, Hannemann, Ronny, Schlee, Winny and Spiliopoulou, Myra
(2022)
Predicting Ecological Momentary Assessments in an App for Tinnitus by Learning From Each User's Stream With a Contextual Multi-Armed Bandit.
Frontiers in Neuroscience 16.
Date of publication of this fulltext: 29 Feb 2024 12:56
Article
Alternative links to fulltext
Involved Institutions
Details
| Item type | Article | ||||
| Journal or Publication Title | Frontiers in Neuroscience | ||||
| Publisher: | Frontiers | ||||
|---|---|---|---|---|---|
| Place of Publication: | LAUSANNE | ||||
| Volume: | 16 | ||||
| Date | 2022 | ||||
| Institutions | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie | ||||
| Identification Number |
| ||||
| Keywords | ; contextual multi-armed bandits; mHealth for tinnitus; EMA prediction; similarity-based prediction; prediction on sparse data; prediction on time series with gaps; prediction in mHealth data | ||||
| Dewey Decimal Classification | 600 Technology > 610 Medical sciences Medicine | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 57421 |
Export bibliographical data
Owner only: item control page
Altmetric
Altmetric