We are happy to announce that UNITI was present with three papers at the 34th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS 2021). CBMS is the premier conference for computer-based medical systems, providing a mechanism for the exchange of ideas and technologies between academic and industrial scientists.
The following UNITI papers were presented:
- Shahania, S., Unnikrishnan, V., Pryss, R., Kraft, R., Schobel, J., Hannemann, R., Schlee, W., & Spiliopoulou, M. (2021, June). User-centric vs whole-stream learning for EMA prediction. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 307-312). IEEE.https://doi.org/10.1109/CBMS52027.2021.00033
- Unnikrishnan, V., Shah, Y., Schleicher, M., Fernández-Viadero, C., Strandzheva, M., Velikova, D., Schlee, W., & Spiliopoulou, M. (2021, June). Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 295-300). IEEE.https://doi.org/10.1109/CBMS52027.2021.00080
- Jamaludeen, N., Unnikrishnan, V., Pryss, R., Schobel, J., Schlee, W., & Spiliopoulou, M. (2021, June). Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 354-359). IEEE.https://doi.org/10.1109/CBMS52027.2021.00110
