Holmes, Geoff

13 publications

TMLR 2025 Pruning Feature Extractor Stacking for Cross-Domain Few-Shot Learning Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoff Holmes

MLJ 2024 Feature Extractor Stacking for Cross-Domain Few-Shot Learning Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes

JAIR 2021 Classifier Chains: A Review and Perspectives Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank

MLJ 2019 Correction to: Adaptive Random Forests for Evolving Data Stream Classification Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem

MLJ 2017 Adaptive Random Forests for Evolving Data Stream Classification Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem

MLOSS 2016 MEKA: A Multi-label/Multi-Target Extension to WEKA Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes

MLJ 2015 Evaluation Methods and Decision Theory for Classification of Streaming Data with Temporal Dependence Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes

ECML-PKDD 2013 Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes

MLJ 2012 Scalable and Efficient Multi-Label Classification for Evolving Data Streams Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer

ECML-PKDD 2011 Active Learning with Evolving Streaming Data Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes

MLJ 2011 Classifier Chains for Multi-Label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank

ECML-PKDD 2011 MOA: A Real-Time Analytics Open Source Framework Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl

MLOSS 2010 MOA: Massive Online Analysis Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer