Geoff Holmes

40 papers A* 5A 1B 3Misc 1Journal 18Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains.
CoRR
Xin Xu, Eibe Frank, Geoff Holmes
2025 J jnl
Pruning Feature Extractor Stacking for Cross-domain Few-shot Learning.
Trans. Mach. Learn. Res.
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoff Holmes
2024 J jnl
Feature extractor stacking for cross-domain few-shot learning.
Mach. Learn.
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
2022 A conf
Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models.
IUI
Geoff Holmes, Eibe Frank, Dale Fletcher, Corey Sterling
2022 — conf
Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract.
Meta-Knowledge Transfer @ ECML/PKDD
Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
2022 J jnl
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles.
PeerJ Comput. Sci.
Rory Mitchell, Eibe Frank, Geoff Holmes
2021 J jnl
Classifier Chains: A Review and Perspectives.
J. Artif. Intell. Res.
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2019 J jnl
Classifier Chains: A Review and Perspectives.
CoRR
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2019 J jnl
Correction to: Adaptive random forests for evolving data stream classification.
Mach. Learn.
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
2018 J jnl
Environmental Data Science.
Environ. Model. Softw.
Karina Gibert, Jeffery S. Horsburgh, Ioannis N. Athanasiadis, Geoff Holmes
2018 J jnl
Preface to the thematic issue on Environmental Data Science. Applications to air quality and water cycle.
Environ. Model. Softw.
Karina Gibert, Jeffery S. Horsburgh, Ioannis N. Athanasiadis, Geoff Holmes
2018 J jnl
Which method to use? An assessment of data mining methods in Environmental Data Science.
Environ. Model. Softw.
Karina Gibert, Joaquín Izquierdo, Miquel Sànchez-Marrè, Serena H. Hamilton, Ignasi Rodríguez-Roda, Geoff Holmes
2017 J jnl
Adaptive random forests for evolving data stream classification.
Mach. Learn.
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
2017 A* conf
Extremely Fast Decision Tree Mining for Evolving Data Streams.
KDD
Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer
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
2015 B conf
Digital Libraries Unfurled: Supporting the New Zealand Flag Debate.
TPDL
Brandon M. Thomas, Joanna M. Stewart, David Bainbridge, David M. Nichols, William J. Rogers, Geoff Holmes
2015 A* conf
Efficient Online Evaluation of Big Data Stream Classifiers.
KDD
Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer
2015 J jnl
Evaluation methods and decision theory for classification of streaming data with temporal dependence.
Mach. Learn.
Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes
2015 — ch.
Provenance for cloud data accountability.
The Cloud Security Ecosystem
Alan Yu Shyang Tan, Ryan K. L. Ko, Geoff Holmes, Bill Rogers
2013 B conf
CD-MOA: Change Detection Framework for Massive Online Analysis.
IDA
Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite
2013 Misc conf
Efficient data stream classification via probabilistic adaptive windows.
SAC
Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes
2013 — conf
Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them.
ECML/PKDD (1)
Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes
2013 — conf
Security and Data Accountability in Distributed Systems: A Provenance Survey.
HPCC/EUC
Yu Shyang Tan, Ryan K. L. Ko, Geoff Holmes
2012 B conf
Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data.
IDA
Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes
2012 A* conf
Developing data mining applications.
KDD
Geoff Holmes
2012 J jnl
Ensembles of Restricted Hoeffding Trees.
ACM Trans. Intell. Syst. Technol.
Albert Bifet, Eibe Frank, Geoff Holmes, Bernhard Pfahringer
2012 J jnl
Scalable and efficient multi-label classification for evolving data streams.
Mach. Learn.
Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2012 — conf
Stream Data Mining Using the MOA Framework.
DASFAA (2)
Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read
2011 — conf
Active Learning with Evolving Streaming Data.
ECML/PKDD (3)
Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes
2011 A* conf
An effective evaluation measure for clustering on evolving data streams.
KDD
Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2011 J jnl
Classifier chains for multi-label classification.
Mach. Learn.
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2011 — conf
MOA Concept Drift Active Learning Strategies for Streaming Data.
WAPA
Indre Zliobaite, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2011 — conf
MOA: A Real-Time Analytics Open Source Framework.
ECML/PKDD (3)
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl
2011 A* conf
Mining frequent closed graphs on evolving data streams.
KDD
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà
2011 — conf
Streaming Multi-label Classification.
WAPA
Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2010 — conf
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA.
ICDM Workshops
Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2010 — conf
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering.
WAPA
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl
2010 J jnl
MOA: Massive Online Analysis.
J. Mach. Learn. Res.
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer
2008 J jnl
ONTRACK: Dynamically adapting music playback to support navigation.
Pers. Ubiquitous Comput.
Matt Jones, Steve Jones, Gareth Bradley, Nigel Warren, David Bainbridge, Geoff Holmes