Four papers accepted at IEEE CBMS 2021

07.06.2021 -  

We are pleased to announce that our four papers have been accepted for the IEEE CBMS International Symposium on Computer-Based Medical Systems, 07-09 June 2021.

Congratulations to all authors, and especially to the data science
Master DKE students Saijal Shahania for her first paper and Yash Shah
for his third one with the KMD group.


Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App by Noor Jamaludeen, Vishnu Unnikrishnan, Ruediger Pryss, Johannes Schobel, Winfried Schlee and Myra Spiliopoulou

Juxtaposing 5G Coronavirus Tweets With General Coronavirus Tweets During the Early Months of Coronavirus Outbreak by Rafi Trad and Myra Spiliopoulou

Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data by Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernandez-Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rüdiger Pryss, Johannes Schobel, Winfried Schlee and Myra Spiliopoulou

User-centric vs whole-stream learning for EMA prediction by Saijal Shahania, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Winfried Schlee and Myra Spiliopoulou

Letzte Änderung: 23.08.2021 - Ansprechpartner: