Andreas Holzinger

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Andreas Holzinger (born April 18, 1963 in Graz ) is an Austrian computer scientist .

Life

Andreas Holzinger completed an apprenticeship as a radio and television technician , in 1981 he passed the journeyman's examination. He then worked as a communications technician in the field at Bosch and in 1983 passed the examination as a foreman for industrial electronics. He then graduated from the Higher Technical College for Working People ( BULME ) and attended the College of Further Education in Bournemouth (Great Britain).

In 1990 he passed the examination as an engineer for communications technology , obtained a diploma in adult education (Dip. Ed) in 1991 , studied communications technology and teaching physics and psychology (graduated in 1995 as Mag. Rer. Nat. ) As well as media education and sociology ( Graduated in 1996 as Mag. Phil. ) At the Graz University of Technology and the University of Graz .

In 1997 he was promoted to Dr. phil. PhD with a topic in cognitive science . In 2002/2003 he was visiting lecturer at the Nations HealthCareer School of Management (NHCS) in Berlin . In 2003 he obtained his habilitation ( Venia Docendi ) at the Graz University of Technology in the subject “Applied Information Processing”.

In 2004/05 he was a visiting professor at the Institute for Organization and Learning at the University of Innsbruck , in 2005/06 a visiting professorship at the Institute for Software Technology and Interactive Systems at the Vienna University of Technology , in the summer semester a visiting professorship at the School of Computing at Middlesex University in London, in the winter semester 2011/12 visiting professor at the RWTH Aachen, in the summer semester 2012 visiting professor at the University College in London and has been a regular visiting professor at the Vienna University of Economics and Business since 2006. He founded and heads the international network of experts HCI-KDD. Holzinger is a consultant for Austrian, German, Dutch, French, Canadian and Swiss research funding agencies.

Since July 2019, Holzinger has been visiting professor for explainable AI at the xAI-Lab of the Alberta Machine Intelligence Institute of the University of Alberta in Edmonton, Canada. In 2019 Holzinger was elected to the Academia Europaea .

Current work areas

Andreas Holzinger is working on a combination of two areas that offer ideal conditions for knowledge discovery in high-dimensional, weakly structured data and unstructured information: Human-computer interaction and knowledge discovery in databases , with the aim of supporting human intelligence through machine learning to discover unknown relationships in complex biomedical data sets.

He has developed and evaluated a special approach: interactive machine learning (iML) with a human-in-the-loop, or with one (or more) “doctor-in-the-loop”. It can often be advantageous not to forego human domain knowledge, but rather to combine human intelligence and machine intelligence. One motivation for the iML approach is that fully automated “black box” approaches lack transparency. However, future legal and data protection aspects make it increasingly necessary to use a "glass box" approach to explain why a decision was made. This approach can also promote acceptance and trust in machine learning in general. 

Selected publications

  • A. Holzinger, M. Dehmer, I. Jurisica: Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions. In: BMC Bioinformatics. Volume 15, (Suppl 6), 2014, I1.
  • A. Holzinger, I. Jurisica (Ed.): Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. (= Lecture Notes in Computer Science LNCS. 8401). Springer, Heidelberg / Berlin 2014.
  • A. Holzinger, B. Malle, N. Giuliani: On Graph Extraction from Image Data. In: D. Slezak, JF Peters, A.-H. Tan, L. Schwabe (Ed.): Brain Informatics and Health, BIH 2014, Lecture Notes in Artificial Intelligence LNAI 8609. Springer, Heidelberg / Berlin 2014, pp. 552-563.
  • A. Holzinger: Extravaganza Tutorial on Hot Ideas for Interactive Knowledge Discovery and Data Mining in Biomedical Informatics. In: D. Ślȩzak, A.-H. Tan, J. Peters, L. Schwabe (Eds.): Brain Informatics and Health. Springer International Publishing, 2014, pp. 502-515.
  • A. Holzinger: Biomedical Informatics: Discovering Knowledge in Big Data. Springer, New York 2014, ISBN 978-3-319-04527-6 .
  • A. Holzinger, M. Plass, K. Holzinger, GC Crisan, C.-M. Pintea, V. Palade: A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop. 2017, arxiv : 1708.01104 .
  • A. Holzinger: Introduction to Machine Learning and Knowledge Extraction (MAKE). In: Machine Learning and Knowledge Extraction. Volume 1, No. 1, 2017, pp. 1-20. doi: 10.3390 / make1010001
  • A. Holzinger: Interactive Machine Learning for Health Informatics: When do we need the human-in-the-loop? In: Brain Informatics. Volume 3, No. 2, 2016, pp. 119-131. doi: 10.1007 / s40708-016-0042-6
  • M. Hund, D. Boehm, W. Sturm, M. Sedlmair, T. Schreck, T. Ullrich, DA Keim, L. Majnaric, A. Holzinger: Visual analytics for concept exploration in subspaces of patient groups: Making sense of complex datasets with the Doctor-in-the-loop? In: Brain Informatics. Volume 3, No. 4, 2016, pp. 233-247, doi: 10.1007 / s40708-016-0043-5 .
  • D. Girardi, J. Küng, R. Kleiser, M. Sonnberger, D. Csillag, J. Trenkler, A. Holzinger: Interactive knowledge discovery with the doctor-in-the-loop: a practical example of cerebral aneurysms research. In: Brain Informatics. Volume 3, No. 3, 2016, pp. 133-143, doi: 10.1007 / s40708-016-0038-2 .
  • P. Kieseberg, B. Malle, P. Fruehwirt, E. Weippl, A. Holzinger: A tamper-proof audit and control system for the doctor in the loop. In: Brain Informatics. Volume 3, No. 4, 2016, pp. 269-279, doi: 10.1007 / s40708-016-0046-2 .
  • SM Yimam, C. Biemann, L. Majnaric, Š. Šabanović, A. Holzinger: An adaptive annotation approach for biomedical entity and relation recognition. In: Brain Informatics. Volume 3, No. 3, 2016, pp. 157-168, doi: 10.1007 / s40708-016-0036-4 .

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