Peter Reutemann

11 papers B 2Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Identifying Biological Fluids using Hyperspectral Near-infrared Imaging and Machine Learning for Forensics Analysis.
I2MTC
Shah Faisal, Melanie Po-Leen Ooi, Ye Chow Kuang, Yaminn Thawdar, Sanush Abeysekera, Peter Reutemann, Dale Fletcher, Rachel Fleming, Heather McClelland
2024 — conf
Hyperspectral Imaging and Machine Learning to Identify Epicuticular Wax Loss in Masena Blueberries for Post-Harvest Freshness.
CASE
Jonathan Pearse, Yaminn Thawdar, Alicia Sim, Melanie Ooi, Benjamin McGuinness, Peter Reutemann, Dale Fletcher, Mike Duke
2016 J jnl
MEKA: A Multi-label/Multi-target Extension to WEKA.
J. Mach. Learn. Res.
Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes
2015 — conf
Big Data with ADAMS.
BigMine
Peter Reutemann, Geoff Holmes
2012 — conf
Scientific Workflow Management with ADAMS.
ECML/PKDD (2)
Peter Reutemann, Joaquin Vanschoren
2010 J jnl
WEKA - Experiences with a Java Open-Source Project.
J. Mach. Learn. Res.
Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
2009 — conf
Analysing chromatographic data using data mining to monitor petroleum content in water.
ITEE
Geoffrey Holmes, Dale Fletcher, Peter Reutemann, Eibe Frank
2009 J jnl
The WEKA data mining software: an update.
SIGKDD Explor.
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
2007 B conf
Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant.
PAKDD
Bernhard Pfahringer, Claire Leschi, Peter Reutemann
2006 B conf
Using Weighted Nearest Neighbor to Benefit from Unlabeled Data.
PAKDD
Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi
2004 — conf
A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners.
Australian Conference on Artificial Intelligence
Peter Reutemann, Bernhard Pfahringer, Eibe Frank