Andreas Holzinger

Research interests

Publications

• Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

  Information Fusion · 2024 · 10.1016/j.inffus.2024.102301

• AI for life: Trends in artificial intelligence for biotechnology

  New Biotechnology · 2023 · 10.1016/j.nbt.2023.02.001

• Explainable AI Methods - A Brief Overview

  Lecture notes in computer science · 2022 · 10.1007/978-3-031-04083-2_2

• Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics

  Electronics · 2021 · https://doi.org/10.3390/electronics10050593

• Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

  Information Fusion · 2021 · https://doi.org/10.1016/j.inffus.2021.10.007

• Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI

  Information Fusion · 2021 · 10.1016/j.inffus.2021.01.008

• Digital Transformation for Sustainable Development Goals (SDGs) - A Security, Safety and Privacy Perspective on AI

  Lecture notes in computer science · 2021 · https://doi.org/10.1007/978-3-030-84060-0_1

• Measuring the Quality of Explanations: The System Causability Scale (SCS)

  Künstliche Intell. · 2020 · 10.1007/s13218-020-00636-z

• Recommender systems in the healthcare domain: state-of-the-art and research issues

  Journal of Intelligent Information Systems · 2020 · 10.1007/s10844-020-00633-6

• Biomedical image augmentation using Augmentor

  Bioinformatics · 2019 · 10.1093/bioinformatics/btz259

• Causability and explainability of artificial intelligence in medicine

  Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 2019 · 10.1002/widm.1312

• Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery

  International Journal of Medical Robotics and Computer Assisted Surgery · 2018 · 10.1002/rcs.1968

• Explainable AI: The New 42?

  Lecture notes in computer science · 2018 · 10.1007/978-3-319-99740-7_21

• Interactive machine learning: experimental evidence for the human in the algorithmic loop

  Applied Intelligence · 2018 · 10.1007/s10489-018-1361-5

• Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI

  Lecture notes in computer science · 2018 · https://doi.org/10.1007/978-3-319-99740-7_1

• From Machine Learning to Explainable AI

  · 2018 · 10.1109/disa.2018.8490530

• What do we need to build explainable AI systems for the medical domain?

  arXiv (Cornell University) · 2017 · 10.48550/arxiv.1712.09923

• Augmentor: An Image Augmentation Library for Machine Learning

  The Journal of Open Source Software · 2017 · 10.21105/joss.00432

• Interactive machine learning for health informatics: when do we need the human-in-the-loop?

  Brain Informatics · 2016 · 10.1007/s40708-016-0042-6

• Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions

  BMC Bioinformatics · 2014 · https://doi.org/10.1186/1471-2105-15-s6-i1

• HCI and Usability for Education and Work

  Lecture notes in computer science · 2008 · 10.1007/978-3-540-89350-9

• On Some Aspects of Improving Mobile Applications for the Elderly

  Lecture notes in computer science · 2007 · 10.1007/978-3-540-73279-2_103

• Ambient Intelligence in Assisted Living: Enable Elderly People to Handle Future Interfaces

  Lecture notes in computer science · 2007 · 10.1007/978-3-540-73281-5_11

• Successful implementation of user-centered game based learning in higher education: An example from civil engineering

  Computers & Education · 2006 · 10.1016/j.compedu.2005.11.026

• Usability engineering methods for software developers

  Communications of the ACM · 2005 · 10.1145/1039539.1039541

• Student-Centered Teaching Meets New Media: Concept and Case Study

  · 2002

Current projects

No projects listed.