Today, our students Dominic Eger, Tamino Kölbl, and Kim Schnuster presented their results from their study project. The aim of the project was the development of a low-cost system for localization of persons in buildings via the voice assistant Alexa from Amazon. They solved the problem by using several Rasperry Pi via bluetooth coupled to…
Dominik is member of the program commitee of the BBCC 2017 in Naples. BBCC is an annual conference series started in 2006, as the regional meeting for the bioinformatics community working in Campania, Italy. During the years, many editions were joined with tutorials and courses activities, or international workshops, thus hosting also researchers from other…
We welcome our new visiting professor Mahmoud M. Bahgat! Mahmoud is a Professor for Biochemistry and Head of the Research Group Immune- and Biomarkers for Infection at the Center of Excellence for Advances Sciences at the National Research Center, Cairo, Egypt. This research stay is funded by the Alexander von Humboldt foundation.
Our group recently started a research collaboration with the RMIT in Melbourne, Australia. Dominik gave a talk at the School of Health and Biomedical Sciences on artificial Intelligence in medicine. Funding This collaboration is supported by the Federal Ministry of Education and Research (BMBF) and the German Academic Exchange Service (DAAD) under the ATN-DAAD Joint…
We published a new article in BMC Bioinformatics: Riemenschneider M, Herbst A, Rasch A, Gorlatch S, Heider D: eccCL: Parallelized GPU implementation of Ensemble Classifier Chains. BMC Bioinformatics 2017, 18:371. (Link) Abstract Background: Multi-label classification has recently gained great attention in diverse fields of research, e.g., in biomedical application such as protein function…
Ulla will present a poster at the BITS 2017 Neumann U, Heider D: Pi/4 -Rotation Method for Feature Subset Selection … and Dominik will give an invited talk. Looking forward to Cagliari!
Our paper has been accepted in BioData Mining: Neumann U, Genze N, Heider D: EFS: An Ensemble Feature Selection Tool implemented as R-package and Web-Application. BioData Mining 2017, 10:21. (Link) Abstract Background Feature selection methods aim at identifying a subset of features that improve the prediction performance of subsequent classification models and thereby also simplify…
If you are a Masters student in the Marburg/Gießen area, you might be interested in this: We have an open project available as a Masters Thesis, which focuses on DNA sequence classification using recently discovered machine learning approaches such as Random Forests and SVMs with string kernels.
Dr. Kieran Cashin (Burnet Institute / RMIT University, Australia) visited our group for two weeks. This collaboration is supported by the Federal Ministry of Education and Research (BMBF) and the German Academic Exchange Service (DAAD) under the ATN-DAAD Joint Research Co-operation Scheme.
Currently, we have two open research projects for Bachelor or Master students: One is focused on finding socio-economic factors that impact biodiversity of European lakes based on the lakes GPS information. This project is intended for a Bachelor student. In the other project, the student will automate and adapt methods for the prediction of replication…
