The KMD Lab presented two papers at Computer-Based Medical Systems 2016, Dublin, Ireland and Belfast, Northern Ireland .
- "Learning Pressure Patterns for Patients with Diabetic Foot Syndrome" by Uli Niemann, Myra Spiliopoulou, Fred Samland, Thorsten Szczepanski, Jens Gruetzner, Antao Ming, Juliane Kellersmann, Jan Malanowski, Silke Klose and Peter R. Mertens
- "Identifying relevant features for a multi-factorial disorder with constraint-based subspace clustering" by Tommy Hielscher, Myra Spiliopoulou, Henry Voelzke and Jens-Peter Kuehn
Dr. Georg Krempl and Daniel Kottke have been awarded with the "FIN-Forschungspreis 2015". This year, the best publication of the faculty has been chosen to be "Optimised probabilistic active learning (OPAL): For Fast, Non-Myopic, Cost-Sensitive Active Classification." by Georg Krempl, Daniel Kottke, and Vincent Lemaire. It was published in the special issue of the ECMLPKDD 2015 Journal Track in the Journal of Machine Learning.
Stefan Räbiger is the recipient of the award "Studentischer Forschungspreis 2015" for the paper "A Framework for Validating the Merit of Properties that Predict the Influence of a Twitter User", which was co-written by Prof. Myra Spiliopoulou. It was awarded by the faculty of Computer Science of the Otto-von-Guericke University. The paper is based on his master's thesis which was also supervised by Prof. Spiliopoulou.
The KMD group is happy to announce that the paper "How to Select Information That Matters: A Comparative Study on Active Learning Strategies for Classification" by Christian Beyer, Georg Krempl and Vincent Lemaire has won the Best Paper Award at this year's iKnow (15th International Conference on Knowledge Technologies and Data-Driven Business 2015, Graz, Austria).