Welcome to the Holzinger-Group!
Machine Learning is the most growing field in Computer Science. Health is among the most important application domains.
Machine Learning & and Knowledge Extraction (MAKE) following the HCI-KDD approach involves a concerted effort of topics ranging from data pre-processing to visualization. In a joint effort with our international research colleagues, we are interested in theoretical, algorithmic, and experimental studies in machine learning in order to solve the problem of knowledge extraction from complex data to discover unknown unknowns. Consequently, we can help to solve problems in health informatics.
Our goal is to support the international research community with our research contributions towards reaching human-level AI. We follow our guiding motto: Science is to test crazy ideas – Engineering is to put these ideas into Business. We enjoy thinking and we consider us as problem solvers – and we are proud of tackling challenging topics. Most of all: We just do it!
If you are crazy enough: We are always on talent scouting, in case you are interested to join our group please proceed to:
Our leitmotif is: “Science is to test crazy ideas – Engineering is to put these ideas into Business”
“The most rewarding research is the one that delights the thinker and at the same time is beneficial to humankind” (Christian Doppler, 1803‐1853), consequently, we are devoted to our guiding principle: “Science is to test crazy ideas – Engineering is to put these ideas into Business” A.Holzinger, 2011, Successful Management of R&D
Current as of April, 5, 2017, 19:30 CET