Research areas

  • QA75 Electronic computers. Computer science - Machine Learning, Health Informatics

    Austrian Fields of Study 2012 (6-stellig)

  • 102015 Information systems
  • 102019 Machine learning
  • 102020 Medical informatics

Research interests

Andreas and his group work on a synergistic combination of methods of two areas that offer ideal conditions towards unraveling challenges in discovering knowledge in complex data: Human-Computer Interaction (HCI) & Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning and the human-in-the-loop. The motto of the Holzinger-Group is: Science is to test crazy ideas, Engineering is to put these ideas into Business.

Scholar (h-index) | DBLP | ORCID | Mendeley | Research Gate | Holzinger Group | International Expert Network HCI-KDD

Research output

  1. A Tutorial on Machine Learning and Data Science Tools with Python

    Research output: Research - peer-reviewChapter

  2. Machine Learning Notation Tutorial

    Research output: ResearchLecture notes

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  1. Introduction to Machine Learning and Knowledge Extraction (MAKE)

    Activity: Science to scienceTalk at conference or symposium

  2. Universita die Verona, Dipartimento die Informatica

    Activity: Visiting an external academic institutionLecturer at external institution

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ID: 95098