A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners. - Peter Reutemann; Bernhard Pfahringer; Eibe Frank (Australian Conference on Artificial Intelligence, 2004)

Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. - Kurt Driessens; Peter Reutemann; Bernhard Pfahringer; Claire Leschi (PAKDD, 2006)

Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant. - Bernhard Pfahringer; Claire Leschi; Peter Reutemann (PAKDD, 2007)

Analysing chromatographic data using data mining to monitor petroleum content in water. - Geoffrey Holmes 001; Dale Fletcher; Peter Reutemann; Eibe Frank (ITEE, 2009)

The WEKA data mining software: an update. - Mark Hall 002; Eibe Frank; Geoffrey Holmes 001; Bernhard Pfahringer; Peter Reutemann; Ian H. Witten (SIGKDD Explor., 2009)

WEKA - Experiences with a Java Open-Source Project. - Remco R. Bouckaert; Eibe Frank; Mark A. Hall; Geoffrey Holmes 001; Bernhard Pfahringer; Peter Reutemann; Ian H. Witten (J. Mach. Learn. Res., 2010)

Scientific Workflow Management with ADAMS. - Peter Reutemann; Joaquin Vanschoren (ECML/PKDD (2), 2012)

Big Data with ADAMS. - Peter Reutemann; Geoff Holmes 001 (BigMine, 2015)

MEKA: A Multi-label/Multi-target Extension to WEKA. - Jesse Read; Peter Reutemann; Bernhard Pfahringer; Geoff Holmes 001 (J. Mach. Learn. Res., 2016)

Hyperspectral Imaging and Machine Learning to Identify Epicuticular Wax Loss in Masena Blueberries for Post-Harvest Freshness. - Jonathan Pearse; Yaminn Thawdar; Alicia Sim; Melanie Ooi; Benjamin McGuinness; Peter Reutemann; Dale Fletcher; Mike Duke (CASE, 2024)

Identifying Biological Fluids using Hyperspectral Near-infrared Imaging and Machine Learning for Forensics Analysis. - Shah Faisal; Melanie Po-Leen Ooi; Ye Chow Kuang; Yaminn Thawdar; Sanush Abeysekera; Peter Reutemann; Dale Fletcher; Rachel Fleming; Heather McClelland (I2MTC, 2025)