The dates for the LAST ATTEMPT exams in DM4BA, DM I, DM II, Recommenders, ITO, and WMS are:
January 31, 14:00 to 16:00
January 31, 09:30 to 10:30
February 1, 13:00 to 15:00
NOTE: Last attempt exams are offered exclusively for degrees that prescribe a last attempt, and state that this attempt must be an oral exam.
The next slots for last attempt exams will be offered after the teaching period of winter term 2021/2022.
Important announcement regarding registration process:
In order to stay more compliant to the social distancing guidelines, the registration for the exam will be conducted slightly differently.
Download, print, and fill out the examination registration form from the examination office. Fill all fields except the date and time.
Submit the document to Mr. Knopke electronically. Deadline: January, 15.
The next available time slot will be assigned to you, and Mr. Knopke forwards the updated form to the examination office. You will be informed about the date and time for your exam.
Journal paper published at Special Issue "Analysis of FAIR Data from Medical Sensors" of the MDPI Journal "sensors" (IF 3.576)
Journal publication in the ImmunLeanrning project: "Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis" by Noor Jamaludeen, Christian Beyer, Ulrike Billing, Katrin Vogel, Monika Brunner-Weinzierl and Myra Spiliopoulou
It is Noor Jamaludeen's first journal publication. Congratulations to all authors.
PDF Version: https://www.mdpi.com/1424-8220/21/15/4960/pdf
Special Issue: https://www.mdpi.com/journal/sensors/special_issues/FAIR_data
Anne Rother's first-author paper, "Assessing the difficulty of annotating medical data in crowdworking with help of experiments", has been accepted in PLOS ONE. It is Anne's first scientific paper, which she wrote while still studying for her bachelor's degree. Congratulations on this great success!
Anne Rother, Uli Niemann, Tommy Hielscher, Henry Völzke, Till Ittermann, and Myra Spiliopoulou (2021). Assessing the difficulty of annotating medical data in crowdworking with help of experiments. PLOS ONE 16(7): e0254764. https://doi.org/10.1371/journal.pone.0254764
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