Publikation:
Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data
Datum
2021
conference_paper
Unnikrishnan, V., Shah, Y., Schleicher, M., Fernández-Viadero, C., Strandzheva, M., Velikova, D., Dimitrov, P., Pryss, R., Schobel, J., Schlee, W., & Spiliopoulou, M. (2021). Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. Ieee, 295–300. https://doi.org/10.1109/cbms52027.2021.00080
Zusätzliche Indizierung
| Institution | Eastern Switzerland University of Applied Sciences (OST) |
|---|---|
| Titel | Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data |
| Autor:in | Unnikrishnan, V. Shah, Y. Schleicher, M. Fernández-Viadero, C. Strandzheva, M. |
| Erschienen in | IEEE |
| Konferenztitel | 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) |
| Konferenzort | Online |
| Seitenanfang | 295 |
| Seitenende | 300 |
| Datum der Veröffentlichung | 2021 |
| Peer-review | true |
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