Download One Pager Partner Description H2020 - Holzinger Group HCI-KDD

One Page Partner Description: Holzinger Group, HCI-KDD, Medical University Graz (MUG)
Group
Humans are excellent at pattern recognition in dimensions of ≤3; however,
Description
most biomedical data sets are in dimensions much higher than 3, making
manual analysis difficult. Efficient, useable computational methods, algorithms
and tools to interactively gain knowledge of and insight into such data are a
commandment of our time. The Holzinger Group works on a synergistic
combination of two areas, offering best conditions to unravel such challenges:
Human–Computer Interaction (HCI) & Knowledge Discovery/Data Mining (KDD),
having the goal of supporting human intelligence with machine learning
(human-in-the-loop), which is an important step towards future P4
personalized medicine.
Key
Andreas Holzinger is head of the Research Unit HCI-KDD, Institute for Medical
Researcher
Informatics, Medical University Graz, and Associate Professor at Graz
University of Technology, where he teaches Biomedical Informatics, and
supervises engineering students at the Institute of Information Systems.
Andreas holds a PhD (1998) in Cognitive Science from Graz University and a
Habilitation (second PhD, 2003) in Computer Science from Graz University of
Technology. Andreas was Visiting Professor in Berlin, Innsbruck, Vienna,
London and Aachen. Since 2000 he has participated in leading positions in 30+
R&D multi-national projects, budget 4+ MEUR, 5000+ citations, h-index =30+
Andreas is founder of the Expert Network HCI-KDD and Assoc. Editor of
Knowledge and Information Systems (KAIS) and Brain Informatics (BRIN).
Key
European health systems are challenged by big and complex sets of
Research
heterogeneous, high-dimensional, and weakly-structured data and increasing
Topics
amounts of unstructured information, but we do not need more data, we need
better data and we want to let the data speak. Consequently, the goal of the
Holzinger Group is to research in advanced machine learning algorithms for
knowledge discovery and to put the "doctor-into-the-loop", which is amongst
the most promising field for high impact in Europe towards 2020.
Recent
Holzinger, A., Röcker, C. & Ziefle, M. (2015). Smart Health - state-of-the-art and
Five
beyond. Smart Health, Springer Lecture Notes in Computer Science, LNCS 8700.
Publications
Heidelberg et al.: Springer, pp. 1-20.
Holzinger, A., Dehmer, M. & Jurisica, I. (2014). Knowledge Discovery and
interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges
and research directions. BMC Bioinformatics, 15, (S6), I1.
Holzinger, A. (2014). Trends in Interactive Knowledge Discovery for Personalized
Medicine: Cognitive Science meets Machine Learning. IEEE Intelligent
Informatics Bulletin, 15, (1), 6-14.
Holzinger, A. (2014). Extravaganza Tutorial on Hot Ideas for Interactive
Knowledge Discovery and Data Mining in Biomedical Informatics. In: Ślȩzak, D.,
Tan, A.-H., Peters, J. & Schwabe, L. (eds.) Brain Informatics and Health. LNAI
8609. Heidelberg et al.: Springer, pp. 502-515.
Holzinger, A. (2013). Human–Computer Interaction & Knowledge Discovery
(HCI-KDD): What is the benefit of bringing those two fields to work together? In:
Cuzzocrea, A., Kittl, C., Simos, D. E., Weippl, E. & Xu, L. (eds.) Multidisciplinary
Research and Practice for Information Systems, Springer Lecture Notes in
Computer Science LNCS 8127. Heidelberg et al.: Springer, pp. 319-328.