Mr Peter Reutemann

Peter Reutemann

Senior Research Programmer (CS)

Qualifications: MSc CS Freiburg

Personal Website:

About Peter

Open-source advocate, lead developer of the ADAMS workflow engine, contributor to a wide range of open-source projects and Docker fan. Works mostly on commercial projects, developing and integrating open-source solutions in business processed in various commercial environments. Applies traditional machine learning techniques and ones based on deep learning frameworks (TensorFlow and PyTorch) to solve real-world problems (e.g., processing spectral data and images).

Organizes the Linux and Python meetups in Hamilton.

Research Interests

Some of the research projects Peter has been involved in are:

Recent Publications

  • Read, J., Reutemann, P., Pfahringer, B., & Holmes, G. (2016). MEKA: A multi-label/multi-target extension to WEKA. Journal of Machine Learning Research, 17(21), 1-5. Open Access version:

  • Reutemann, P., & Holmes, G. (2015). Big data with ADAMS. In 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications Vol. 41 (pp. 5-8). Conference held Sydney, Australia: JMLR Workshop and Conference Proceedings. Retrieved from

  • Hill, M. G., Connolly, P. G., Reutemann, P., & Fletcher, D. (2014). The use of data mining to assist crop protection decisions on kiwifruit in New Zealand. Computers and Electronics in Agriculture, 108, 250-257. doi:10.1016/j.compag.2014.08.011

  • Holmes, G., Fletcher, D., & Reutemann, P. (2012). An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry. In R. Seppelt, A. A. Voinov, S. Lange, & D. Bankamp (Eds.), Proc Sixth Biennial Meeting of the International Environmental Modelling and Software Society (iEMSs), Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty (pp. 1577-1584). Conference held at Leipzig, Germany: iEMSs. Retrieved from Open Access version:

Find more research publications by Peter Reutemann

Contact Details

Email: [email protected]
Room: G.2.19
Phone: +64 7 858 5174