Andreas Holzinger - Selected Publications#

1) Holzinger, A. et al. (2018). Interactive machine learning: experimental evidence for the human in the algorithmic loop. Springer/Nature Applied Intelligence, doi:10.1007/s10489-018-1361-5. (top journal in applied artificial intelligence, SCI IF=1,983)

2) Jean-Quartier, C., Jeanquartier, F., Jurisica, I. & Holzinger, A. (2018). In silico cancer research towards 3R. Springer/Nature BMC Cancer, 18, (1), 408, doi:10.1186/s12885-018-4302-0. (top-journal in health informatics, SCI IF=9,130, less of 10% acceptance rate)

3) Holzinger, A., Goebel, R., Ferri, M. & Palade, V. (2017). Towards Integrative Machine Learning and Knowledge Extraction. Lecture Notes in Artificial Intelligence LNAI 10344, Springer International, doi:10.1007/978-3-319-69775-8. (This is the documentation of a workshop organized by A. Holzinger at the famous Banff International Research Station for Mathematical Innovation and Discovery (BIRS), with an average acceptance rate of less than 10 %)

4) Holzinger, A. (2016). Interactive Machine Learning for Health Informatics: When do we need the human-in-the-loop? Springer/Nature Brain Informatics, 3, (2), 119-131, doi:10.1007/s40708-016-0042-6. This is the concept paper of the glass-box approach and received 220 citations and 35k+ downloads, the topic was selected as "Aktuelles Schlagwort" by the GI (German Informatics Society)

5) Girardi, D., Küng, J., Kleiser, R., Sonnberger, M., Csillag, D., Trenkler, J. & Holzinger, A. (2016). Interactive knowledge discovery with the doctor-in-the-loop: a practical example of cerebral aneurysms research. Springer/Nature Brain Informatics, 3, (3), 133-143, doi:10.1007/s40708-016-0038-2. (This paper is a clinical proof-of-concept of the doctor-in-the-loop in real-world settings with high practical implications)

6) Holzinger, A., Plass, M. & Kickmeier-Rust, M.D. Interactive Machine Learning (iML): a challenge for Game-based approaches. In: Guyon, Isabelle, Viegas, Evelyne, Escalera, Sergio, Hamner, Ben & Kegl, Balasz, eds. Challenges in Machine Learning: Gaming and Education, 2016 Barcelona. NIPS. (This was presented at the Nr. 1 conference of machine learning, acceptance rate less than 5%, actually the gamification approach was one of Andreas Holzingers first papers which received 650+ citations!)

7) Holzinger, A., Dehmer, M., & Jurisica, I. (2014). Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions. Springer/Nature BMC Bioinformatics, 15(S6), I1. doi:10.1186/1471-2105-15-S6-I1. (This paper is one of the concepts for the HCI-KDD approach for the application in health informatics, the journal has SCI IF (2014) =2,576 and the paper received so far 150 citations!)

8) Bloice, M., Simonic, K.-M. & Holzinger, A. 2014. Casebook: a virtual patient iPad application for teaching decision-making through the use of electronic health records. Springer/Nature BMC Medical Informatics and Decision Making, 14, (1), 1-9, doi:10.1186/1472-6947-14-66. (The journal has IF (2014) = 2,587 and the acceptance rate was less than 20 %)

9) Müller, H., Reihs, R., Zatloukal, K., & Holzinger, A. (2014). Analysis of biomedical data with multilevel glyphs. Springer/Nature BMC Bioinformatics, 15, S5. doi:10.1186/1471-2105-15-S6-S5 (SCI IF(2014) = 2,576 and the acceptance rate was less than 20 %)

10) Holzinger, A., & Zupan, M. (2013). KNODWAT: A scientific framework application for testing knowledge discovery methods for the biomedical domain. Springer/Nature BMC Bioinformatics, 14(1), 191. doi: 10.1186/1471-2105-14-191 (the journal has an accpetance rate of less than 20 %, SCI IF (2013) =2,680 )

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