Andreas Holzinger
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Usability engineering methods for software developers
A Holzinger
Communications of the ACM 48 (1), 71-74, 2005
Causability and explainability of artificial intelligence in medicine
A Holzinger, G Langs, H Denk, K Zatloukal, H Müller
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (4 …, 2019
Successful implementation of user-centered game based learning in higher education: An example from civil engineering
M Ebner, A Holzinger
Computers & education 49 (3), 873-890, 2007
Interactive machine learning for health informatics: when do we need the human-in-the-loop?
A Holzinger
Brain informatics 3 (2), 119-131, 2016
What do we need to build explainable AI systems for the medical domain?
A Holzinger, C Biemann, CS Pattichis, DB Kell
arXiv preprint arXiv:1712.09923, 2017
Ambient intelligence in assisted living: enable elderly people to handle future interfaces
T Kleinberger, M Becker, E Ras, A Holzinger, P Müller
Universal Access in Human-Computer Interaction. Ambient Interaction: 4th …, 2007
Evaluating the quality of machine learning explanations: A survey on methods and metrics
J Zhou, AH Gandomi, F Chen, A Holzinger
Electronics 10 (5), 593, 2021
Explainable AI: the new 42?
R Goebel, A Chander, K Holzinger, F Lecue, Z Akata, S Stumpf, ...
International cross-domain conference for machine learning and knowledge …, 2018
Student-centered teaching meets new media: Concept and case study
R Motschnig-Pitrik, A Holzinger
Journal of Educational Technology & Society 5 (4), 160-172, 2002
Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery
S O'Sullivan, N Nevejans, C Allen, A Blyth, S Leonard, U Pagallo, ...
The international journal of medical robotics and computer assisted surgery …, 2019
From machine learning to explainable AI
A Holzinger
2018 world symposium on digital intelligence for systems and machines (DISA …, 2018
Measuring the quality of explanations: the system causability scale (SCS) comparing human and machine explanations
A Holzinger, A Carrington, H Müller
KI-Künstliche Intelligenz 34 (2), 193-198, 2020
Augmentor: an image augmentation library for machine learning
MD Bloice, C Stocker, A Holzinger
arXiv preprint arXiv:1708.04680, 2017
On some aspects of improving mobile applications for the elderly
A Holzinger, G Searle, A Nischelwitzer
Universal Acess in Human Computer Interaction. Coping with Diversity: 4th …, 2007
Towards multi-modal causability with graph neural networks enabling information fusion for explainable AI
A Holzinger, B Malle, A Saranti, B Pfeifer
Information Fusion 71, 28-37, 2021
Explainable AI Methods - A Brief Overview
A Holzinger, A Saranti, P Molnar, Christoph, Biecek, W Samek
xxAI-Beyond Explainable AI - Lecture Notes in Artificial Intelligence (LNAI …, 2022
Current advances, trends and challenges of machine learning and knowledge extraction: from machine learning to explainable AI
A Holzinger, P Kieseberg, E Weippl, AM Tjoa
Machine Learning and Knowledge Extraction: Second IFIP TC 5, TC 8/WG 8.4, 8 …, 2018
Knowledge Discovery and interactive Data Mining in Bioinformatics-State-of-the-Art, future challenges and research directions
A Holzinger, M Dehmer, I Jurisica
BMC Bioinformatics 15 (Suppl 6), I1, 2014
Mobile phones as a challenge for m-learning: examples for mobile interactive learning objects (MILOs)
A Holzinger, A Nischelwitzer, M Meisenberger
Third IEEE international conference on pervasive computing and …, 2005
Biomedical image augmentation using Augmentor
MD Bloice, PM Roth, A Holzinger
Bioinformatics 35 (21), 4522-4524, 2019
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