Uni-Logo
Sie sind hier: Startseite Knowledge Discovery
Artikelaktionen

Knowledge Discovery and Synthesis

The "Knowledge Discovery and Synthesis" group is investigating methods for identifying potentially complex patterns in data, and methods for synthesizing information from several sources. The spectrum of our work ranges from meta-analysis techniques for clinical trials to machine learning techniques, in particular deep learning, for integrating molecular and clinical data.

Projects

Publications

 

Head

binderh.jpg

Prof. Dr. Harald Binder

Machine learning (esp. deep learning)
integration of molecular and clinical data

 

Members

bonofiglio.jpg

Federico Bonofiglio


Maximum Entropy methods
Event Histroy Analysis
Research Synthesis
Machine learning (esp. deep learning)
 

fermin.jpg

Yessica Fermin

STRATOS
Multivariable modeling
   Fractional polynomials
   Detection of influential observations

kaier.jpg

Ewelina Kotwa

STRATOS

lenz.jpg

Stefan Lenz

Algorithms (esp. in the Deep Learning field)
Software development
API design

ruecker.jpg

Dr. Gerta Rücker

Meta-analysis
Network meta-analysis
Meta-analysis of diagnostic accuracy studies

wfs.jpg

Prof. Dr. Willi Sauerbrei

STRATOS

sc.jpg

Dr. Guido Schwarzer

Meta-analysis
Software development

zoeller.jpg

Daniela Zöller

Longitudinal data modeling
Modeling of clinical registry data
Modeling of distributed data

Benutzerspezifische Werkzeuge