Publications of Andreas Holzinger in Google Scholar or DBLP

Andreas Holzinger build a solid track record in AI/Machine Learning (see definition) for health informatics always with a strong focus on research-based teaching. Andreas has been working on integrated machine learning, which is manifested in Holzinger’s HCI-KDD approach. This is based on a synergetic combination of two different fields to understand intelligence, enabling context-adaptive systems: Human–Computer Interaction (HCI), rooted in cognitive science, particularly dealing with human intelligence, and Knowledge Discovery/Data Mining (KDD), rooted in computer science, particularly dealing with artificial intelligence. Particularly, Andreas has pioneered the interactive machine learning approach with a human-in-the-loop. Holzinger proved his concept with his glass-box approach, which will become important in the future due to raising legal and privacy issues in the European Union  – particularly for the health informatics domain. Because in the future it will become important to make decisions transparent, understandable and retraceable and to explain why a machine decsion has been made – explainable artificial intelligence (explainable-ai) – ex-AI paving the way towards Causability [1].

Subject: Data and Information Science
Technical Area: Machine Learning & Knowledge Extraction
Application Area: Health Informatics
Keywords: Explainable Artificial Intelligence (explainable AI, ex-AI), interactive Machine Learning (iML), Human-Computer Interaction (HCI), Knowledge Discovery from Data (KDD)

Publication metrics as of 27.12.2018 16:00 CET:

Google Scholar citations: 10,510
Google Scholar h-Index: 47
Google Schloar i10-Index: 212
Scopus h-Index = 33
Scopus citations = 5032
Scopus authored papers = 306
DBLP Peer-reviewed conference papers = 170
DBLP Peer-reviewed journal papers = 67
DBLP Edited books and Journal issues = 43
DBLP Peer-reviewed book chapters = 23
ArXiV contributions: 12

1) 3-pages-CV-Andreas-HOLZINGER (pdf, 323 kB)

2a) Publications-last-five-years-Andreas-Holzinger (pdf, 163 kB)

2b) Selected 10 original journal publications of the last 5 years (pdf, 9 kB)

2c) Selected 5 original contributions with comments (pdf, 75 kB)

3) 5-pages research statement (pdf, 170 kB)

4) 5-pages teaching statement (pdf, 607 kB)

5) 9-minutes Youtube Video Research Statement

[1] A very important note:

The notion of Causability is differentiated from explainability in that Causability is a property of a human (natural intelligence), while explainability is a property of a technologial system (artificial intelligence).

Causability ist eine Eigenschaft einer Person (natürliche Intelligenz), während die Erklärbarkeit eine Eigenschaft eines technischen Systems (künstliche Intelligenz) ist.