Keegan, T. T., Apperley, M., & Reutemann, P. (2022) Indigenous Language Promotion in a Smart Home. In Foundation for Endangered Languages FEL XXVI, Conference Book, 124-130. [pdf]

Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes (2016). MEKA: A Multi-label/Multi-target Extension to WEKA 17(21):1−5. [pdf] [www]

P. Reutemann and G. Holmes (2015). Big Data with ADAMS. Proceedings of the 4th International Workshop on Big Data, Streams and Heterogenous Source Mining: Algorithms, Systems, Programming Models and Applications. Editors: Wei Fan, Albert Bifet, Quiang Yang, Philip S. Yu. Vol. 41:5-8. [pdf] [slides]

M.G. Hill, P.G. Connolly, P. Reutemann and D. Fletcher (2014). The use of data mining to assist crop protection decisions on kiwifruit in New Zealand. Computers and Electronics in Agriculture, Vol 108, pp 205-257. [doi] [pdf]

Reutemann PM, Holmes G 2014. Scientific workflow management with ADAMS: building and data mining a database of crop protection and related data. In: Beresford RM, Froud KJ, Kean JM, Worner SP ed. The plant protection data tool box. New Zealand Plant Protection Society. pp 167-174. [pdf]

Peter Reutemann and Joaquin Vanschoren (2012). Scientific Workflow Management with ADAMS. Proceedings of the Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Part II, LNCS 7524, 2012, pp 833-837, Bristol, UK, 2012. [ee]

Geoffrey Holmes, Dale Fletcher, and Peter Reutemann (2012). An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry. Proceedings of the International Congress on Environmental Modelling and Software (IEMSS), Leizpig, Germany, 2012. [pdf]

Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten (2010). WEKA - Experiences with a Java Open-Source Project. Journal of Machine Learning Research, Vol. 11, pp. 2533-2541, 2010. [pdf] [www]]

Geoffrey Holmes, Dale Fletcher, and Peter Reutemann (2010). Predicting Polycyclic Aromatic Hydrocarbon Concentrations in Soil and Water Samples. Proceedings of the International Congress on Environmental Modelling and Software (IEMSS), Ottawa, Canada, 2010. [pdf] [www]

Geoffrey Holmes, Dale Fletcher, Peter Reutemann, and Eibe Frank (2009). Analysing chromatographic data using data mining to monitor petroleum content in water. Proceedings of the 4th International ICSC Symposium, Thessaloniki, Greece, 2009, 278-290. [ee] [pdf] [www]

Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, and Claire Leschi (2006). Using weighted nearest neighbor to benefit from unlabeled data. Advances in Knowledge Discovery and Data Mining, 10th Pacific-Asia Conference, PAKDD 2006, LNCS 3918, 60-69. [ee] [pdf] [www]

Bernhard Pfahringer, Peter Reutemann, and Mike Mayo (2005). A novel two stage scheme utilizing the test set for model selection in text classification. In Ranadhir Ghosh, Brijesh Verma, and Xue Li, editors, Proc Workshop on Learning Algorithms for Pattern Recognition, Eighteenth Australian Joint Conference on Artificial Intelligence (AI'05), pages 60-65, Sydney, Australia, 2005. University of Technology. 5-9 December 2005. [pdf]

P. Reutemann, B. Pfahringer, E. Frank (2004). Proper: A Toolbox for Learning from Relational Data with Propositional and Multi-Instance Learners. 17th Australian Joint Conference on Artificial Intelligence (AI2004). Springer-Verlag. [paper] [poster A4] [poster A3]