What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Operating system
His main research concerns Botany, Artificial intelligence, Human–computer interaction, Usability and Machine learning.
His biological study spans a wide range of topics, including Python, Field and General Data Protection Regulation.
His Human–computer interaction study combines topics in areas such as User interface, Multimedia and Perception.
The various areas that Andreas Holzinger examines in his Usability study include Information society and Quality.
His research on Machine learning also deals with topics like
- Big data together with Knowledge extraction,
- Travelling salesman problem most often made with reference to Ant colony optimization algorithms.
His study looks at the relationship between Text mining and fields such as Data science, as well as how they intersect with chemical problems.
His most cited work include:
- Usability engineering methods for software developers (689 citations)
- Successful implementation of user-centered game based learning in higher education: An example from civil engineering (453 citations)
- Interactive machine learning for health informatics: when do we need the human-in-the-loop? (364 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Data science, Human–computer interaction, Artificial intelligence, Multimedia and Knowledge extraction.
The study incorporates disciplines such as Domain, Health informatics, Visualization, Data visualization and Big data in addition to Data science.
Andreas Holzinger studies Human–computer interaction, namely Usability.
As part of his studies on Artificial intelligence, Andreas Holzinger often connects relevant areas like Machine learning.
His study in Multimedia is interdisciplinary in nature, drawing from both E-learning and Mobile computing.
His Knowledge extraction study is concerned with Data mining in general.
He most often published in these fields:
- Data science (19.12%)
- Human–computer interaction (15.36%)
- Artificial intelligence (15.67%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (15.67%)
- Botany (12.54%)
- Machine learning (10.19%)
In recent papers he was focusing on the following fields of study:
Andreas Holzinger mainly investigates Artificial intelligence, Botany, Machine learning, Green algae and Deep learning.
His work deals with themes such as Field and Big data, which intersect with Artificial intelligence.
His research integrates issues of Domain, Natural, End user and Human–computer interaction in his study of Field.
His Machine learning study incorporates themes from Decision support system, Neuroimaging, Knowledge extraction and Brain mapping.
His study on Green algae also encompasses disciplines like
- Cell wall which connect with Biophysics,
- Ultrastructure which connect with Chloroplast.
His work in Deep learning is not limited to one particular discipline; it also encompasses Data science.
Between 2017 and 2021, his most popular works were:
- Causability and explainability of artificial intelligence in medicine. (215 citations)
- Explainable AI: The new 42? (94 citations)
- Explainable AI: The new 42? (94 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Law
Andreas Holzinger spends much of his time researching Artificial intelligence, Machine learning, Deep learning, Botany and Zygnema.
His is doing research in Probabilistic logic and Knowledge extraction, both of which are found in Artificial intelligence.
His Machine learning research includes elements of General Data Protection Regulation, Data Protection Act 1998, Transparency, Human intelligence and Big data.
His Deep learning research incorporates elements of Python, Biomedical image, Source code, Extensibility and Software.
His work on Streptophyta, Growing season, Chlorophyta and Photoinhibition as part of his general Botany study is frequently connected to Slush, thereby bridging the divide between different branches of science.
His work carried out in the field of Zygnema brings together such families of science as Zygnematophyceae and Cell adhesion molecule, Cell biology.
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