We are happy that Clara Puga's paper "Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus", has been accepted at the IEEE International Conference on Data Science and Advanced Analytics 2021 (DSAA), which takes place in Porto, Portugal, 06-09 October. It is Clara's first scientific paper - Congratulations to her on this big achievement!
Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, and Myra Spiliopoulou: "Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus"
Uli Niemann successfully defended his Phd thesis titled „Intelligent Assistance for Expert-Driven Subpopulation Discovery in High-Dimensional Timestamped Medical Data“.
The Test of Time Award for papers published in the INFORMS Journal on Computing in the years 2000–2004 was awarded to
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis by Myra Spiliopoulou, Bamshad Mobasher, Bettina Berendt, and Miki Nakagawa; this paper appeared in the INFORMS Journal on Computing 15(2):171–190
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
Noor Jamaludeen, Clara Puga and Anne Rother will participate in the virtual conference Women in Data Science (WiDS) Regensburg (13.+14.04.2021).
We will present the following topics:
"A Comparison of Model-Based Methods for Imputing Incomplete Multivariate Time Series" (Noor Jamaludeen)
"Data Science applied to Medical Research" (Clara Puga)
"Triplet-based-learning with the help of crowdlabeling on medical data" (Anne Rother)
Prof. Myra Spiliopoulou participates in the "Roadshow on Funding possibilities in the field of digitalization and industrial technologies (15 April 2021)" and reports on the Horizon 2020 Project UNITI under the title "UNITI - Medical research and Data Science jointly against tinnitus" (event in German)